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ORCIDDacheng Tao
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- affiliation: Nanyang Technological University, Singapore
- affiliation: University of Sydney, UBTECH Sydney Artificial Intelligence Centre, Darlington, Australia
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Sydney, Australia
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2020 – today
- 2025
[j748]Wensheng Li
, Chuncheng Wang, Hanting Guan, Jian Wang, Jie Yang, Chao Zhang, Dacheng Tao:
Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. Comput. Math. Appl. 183: 98-120 (2025)- [j747]Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities. ACM Comput. Surv. 57(2): 49:1-49:37 (2025) - [j746]Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao:
On Efficient Training of Large-Scale Deep Learning Models. ACM Comput. Surv. 57(3): 57:1-57:36 (2025) - [j745]Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming-Hsuan Yang, Dacheng Tao:
Exploring plain ViT features for multi-class unsupervised visual anomaly detection. Comput. Vis. Image Underst. 253: 104308 (2025) - [j744]Qi Zheng, Daqing Liu, Chaoyue Wang, Jing Zhang, Dadong Wang, Dacheng Tao:
ESceme: Vision-and-Language Navigation with Episodic Scene Memory. Int. J. Comput. Vis. 133(1): 254-274 (2025) - [j743]Xu Zhang, Zhe Chen, Jing Zhang, Tongliang Liu, Dacheng Tao:
Learning General and Specific Embedding with Transformer for Few-Shot Object Detection. Int. J. Comput. Vis. 133(2): 968-984 (2025) - [j742]Xianzhu Liu, Haozhe Xie, Shengping Zhang, Hongxun Yao, Rongrong Ji, Liqiang Nie, Dacheng Tao:
2D Semantic-Guided Semantic Scene Completion. Int. J. Comput. Vis. 133(3): 1306-1325 (2025) - [j741]Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao:
General Class-Balanced Multicentric Dynamic Prototype Pseudo-Labeling for Source-Free Domain Adaptation. Int. J. Comput. Vis. 133(6): 3327-3348 (2025) - [j740]Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao:
Pre-trained Trojan Attacks for Visual Recognition. Int. J. Comput. Vis. 133(6): 3568-3585 (2025) - [j739]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Lining Xing, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for graph-based semi-supervised learning. Neurocomputing 624: 129375 (2025) - [j738]Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Learning from models beyond fine-tuning. Nat. Mac. Intell. 7(1): 6-17 (2025) - [j737]Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-efficient distributed learning with Local Immediate Error Compensation. Neural Networks 188: 107471 (2025) - [j736]Wenshui Luo, Shuo Chen, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama, Dacheng Tao, Chen Gong:
Estimating Per-Class Statistics for Label Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 305-322 (2025) - [j735]Maoyuan Ye, Jing Zhang, Juhua Liu, Chenyu Liu, Baocai Yin, Cong Liu, Bo Du, Dacheng Tao:
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1431-1447 (2025) - [j734]Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song:
RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 2212-2231 (2025) - [j733]Quanxue Gao, Fangfang Li, Qianqian Wang, Xinbo Gao, Dacheng Tao:
Manifold Based Multi-View K-Means. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 3175-3182 (2025) - [j732]Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xing-wei Wang, Dacheng Tao:
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3895-3907 (2025) - [j731]Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao:
DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4803-4815 (2025) - [j730]Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
Learning to Explore Sample Relationships. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5445-5459 (2025) - [j729]Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Michael Felsberg, Dacheng Tao, Xuelong Li:
From Missing Pieces to Masterpieces: Image Completion With Context-Adaptive Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 6073-6087 (2025) - [j728]Guang Yang, Jing Zhang, Giorgos Papanastasiou, Ge Wang, Dacheng Tao:
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI. IEEE Trans. Big Data 11(3): 896-897 (2025) - [j727]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 20: 3979-3994 (2025) - [j726]Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang:
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval. IEEE Trans. Image Process. 34: 1820-1834 (2025) - [j725]Chenhao Ying, Fuyuan Xia, David S. L. Wei, Xinchun Yu, Yibin Xu, Weiting Zhang, Xikun Jiang, Haiming Jin, Yuan Luo, Tao Zhang, Dacheng Tao:
BIT-FL: Blockchain-Enabled Incentivized and Secure Federated Learning Framework. IEEE Trans. Mob. Comput. 24(2): 1212-1229 (2025) - [j724]Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao:
Understanding Deep Learning via Decision Boundary. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1533-1544 (2025) - [j723]Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1651-1663 (2025) - [j722]Shiye Lei, Fengxiang He, Haowen Chen, Dacheng Tao:
Attentive Learning Facilitates Generalization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3329-3342 (2025) - [j721]Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4400-4412 (2025) - [j720]Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Federated Learning With Only Positive Labels by Exploring Label Correlations. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7651-7665 (2025) - [j719]Yuesong Tian, Li Shen, Xiang Tian, Dacheng Tao, Zhifeng Li, Wei Liu, Yaowu Chen:
DGL-GAN: discriminator-guided GAN compression. Vis. Comput. 41(7): 4639-4660 (2025) - [c667]Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao:
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. AAAI 2025: 7907-7915 - [c666]Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao:
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. AAAI 2025: 12881-12889 - [c665]Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. AAAI 2025: 18323-18332 - [c664]Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao:
Intention Analysis Makes LLMs A Good Jailbreak Defender. COLING 2025: 2947-2968 - [c663]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. COLING 2025: 5040-5057 - [c662]Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao:
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. COLING 2025: 5570-5587 - [c661]Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao:
Learning system dynamics without forgetting. ICLR 2025 - [c660]Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao:
FreDF: Learning to Forecast in the Frequency Domain. ICLR 2025 - [c659]Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang:
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection. ICLR 2025 - [c658]Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao:
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. ICLR 2025 - [c657]Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao:
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. ICLR 2025 - [c656]Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao:
A Statistical Approach for Controlled Training Data Detection. ICLR 2025 - [c655]Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao:
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. ICLR 2025 - [c654]Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye:
Energy-based Backdoor Defense Against Federated Graph Learning. ICLR 2025 - [c653]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao:
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. ICLR 2025 - [c652]Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao:
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. ICLR 2025 - [c651]Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang, Dacheng Tao:
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. NAACL (Long Papers) 2025: 876-891 - [i766]Xincheng Shuai, Henghui Ding, Zhenyuan Qin, Hao Luo, Xingjun Ma, Dacheng Tao:
Free-Form Motion Control: A Synthetic Video Generation Dataset with Controllable Camera and Object Motions. CoRR abs/2501.01425 (2025) - [i765]Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao:
Modeling All Response Surfaces in One for Conditional Search Spaces. CoRR abs/2501.04260 (2025) - [i764]Yang Chen, Jingcai Guo, Song Guo, Jingren Zhou, Dacheng Tao:
Towards Robust and Realistic Human Pose Estimation via WiFi Signals. CoRR abs/2501.09411 (2025) - [i763]Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging. CoRR abs/2501.09522 (2025) - [i762]Zonglei Jing, Zonghao Ying, Le Wang, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
CogMorph: Cognitive Morphing Attacks for Text-to-Image Models. CoRR abs/2501.11815 (2025) - [i761]Haotian Luo, Li Shen, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Naiqiang Tan, Xiaochun Cao, Dacheng Tao:
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. CoRR abs/2501.12570 (2025) - [i760]Lu Wang, Tianyuan Zhang, Yang Qu, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu, Dacheng Tao:
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving. CoRR abs/2501.13563 (2025) - [i759]Michael K. Chen, Xikun Zhang, Dacheng Tao:
JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models. CoRR abs/2501.14851 (2025) - [i758]Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao:
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. CoRR abs/2501.18100 (2025) - [i757]Yan Sun, Tiansheng Huang, Liang Ding, Li Shen, Dacheng Tao:
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs. CoRR abs/2501.19057 (2025) - [i756]Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao:
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. CoRR abs/2501.19358 (2025) - [i755]Yuxuan Du, Xinbiao Wang, Naixu Guo, Zhan Yu, Yang Qian, Kaining Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao:
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers. CoRR abs/2502.01146 (2025) - [i754]Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao:
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment. CoRR abs/2502.04040 (2025) - [i753]Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao:
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. CoRR abs/2502.05028 (2025) - [i752]Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang:
Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR abs/2502.05206 (2025) - [i751]Yuzhu Chen, Yingjie Wang, Shi Fu, Li Shen, Yongcheng Jing, Xinmei Tian, Dacheng Tao:
HRP: High-Rank Preheating for Superior LoRA Initialization. CoRR abs/2502.07739 (2025) - [i750]Peng Wang, Shengchao Hu, Zerui Tao, Guoxia Wang, Dianhai Yu, Li Shen, Quan Zheng, Dacheng Tao:
SeWA: Selective Weight Average via Probabilistic Masking. CoRR abs/2502.10119 (2025) - [i749]Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao:
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. CoRR abs/2502.11054 (2025) - [i748]Kongcheng Zhang, Qi Yao, Baisheng Lai, Jiaxing Huang, Wenkai Fang, Dacheng Tao, Mingli Song, Shunyu Liu:
Reasoning with Reinforced Functional Token Tuning. CoRR abs/2502.13389 (2025) - [i747]Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao:
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. CoRR abs/2502.13738 (2025) - [i746]Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao:
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. CoRR abs/2502.14645 (2025) - [i745]Mang Ye, Xuankun Rong, Wenke Huang, Bo Du, Nenghai Yu, Dacheng Tao:
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations. CoRR abs/2502.14881 (2025) - [i744]Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao:
Dynamic Parallel Tree Search for Efficient LLM Reasoning. CoRR abs/2502.16235 (2025) - [i743]Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao:
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. CoRR abs/2502.18511 (2025) - [i742]Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao:
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. CoRR abs/2502.18865 (2025) - [i741]Huazheng Wang, Yongcheng Jing, Haifeng Sun, Yingjie Wang, Jingyu Wang, Jianxin Liao, Dacheng Tao:
Erasing Without Remembering: Safeguarding Knowledge Forgetting in Large Language Models. CoRR abs/2502.19982 (2025) - [i740]Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao:
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG. CoRR abs/2503.01222 (2025) - [i739]Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng Tao:
Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning. CoRR abs/2503.01642 (2025) - [i738]Tong Yu, Yongcheng Jing, Xikun Zhang, Wentao Jiang, Wenjie Wu, Yingjie Wang, Wenbin Hu, Bo Du, Dacheng Tao:
Benchmarking Reasoning Robustness in Large Language Models. CoRR abs/2503.04550 (2025) - [i737]Yiming Li, Kaiying Yan, Shuo Shao, Tongqing Zhai, Shu-Tao Xia, Zhan Qin, Dacheng Tao:
CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking. CoRR abs/2503.05794 (2025) - [i736]Jialiang Tang, Shuo Chen, Chen Gong, Jing Zhang, Dacheng Tao:
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics. CoRR abs/2503.09656 (2025) - [i735]Shunyu Liu, Wenkai Fang, Zetian Hu, Junjie Zhang, Yang Zhou, Kongcheng Zhang, Rongcheng Tu, Ting-En Lin, Fei Huang, Mingli Song, Yongbin Li, Dacheng Tao:
A Survey of Direct Preference Optimization. CoRR abs/2503.11701 (2025) - [i734]Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao:
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization. CoRR abs/2503.12937 (2025) - [i733]Jingyi Liao, Xun Xu, Yongyi Su, Rong-Cheng Tu, Yifan Liu, Dacheng Tao, Xulei Yang:
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift. CoRR abs/2503.14910 (2025) - [i732]Zonghao Ying, Guangyi Zheng, Yongxin Huang, Deyue Zhang, Wenxin Zhang, Quanchen Zou, Aishan Liu, Xianglong Liu, Dacheng Tao:
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings. CoRR abs/2503.15092 (2025) - [i731]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Dacheng Tao:
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation. CoRR abs/2503.19937 (2025) - [i730]Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang:
Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR abs/2503.21460 (2025) - [i729]Ziyang Ma, Zuchao Li, Lefei Zhang, Gui-Song Xia, Bo Du, Liangpei Zhang, Dacheng Tao:
Model Hemorrhage and the Robustness Limits of Large Language Models. CoRR abs/2503.23924 (2025) - [i728]Shaocong Long, Qianyu Zhou, Xiangtai Li, Chenhao Ying, Yunhai Tong, Lizhuang Ma, Yuan Luo, Dacheng Tao:
Generative Classifier for Domain Generalization. CoRR abs/2504.02272 (2025) - [i727]Junjie Zhang, Rushuai Yang, Shunyu Liu, Ting-En Lin, Fei Huang, Yi Chen, Yongbin Li, Dacheng Tao:
Supervised Optimism Correction: Be Confident When LLMs Are Sure. CoRR abs/2504.07527 (2025) - [i726]Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao:
Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. CoRR abs/2504.07787 (2025) - [i725]Jiahua Lan, Sen Zhang, Haixia Pan, Ruijun Liu, Li Shen, Dacheng Tao:
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning. CoRR abs/2504.08000 (2025) - [i724]Yiliu Sun, Yanfang Zhang, Zicheng Zhao, Sheng Wan, Dacheng Tao, Chen Gong:
Fast-Slow-Thinking: Complex Task Solving with Large Language Models. CoRR abs/2504.08690 (2025) - [i723]Yikun Wang, Siyin Wang, Qinyuan Cheng, Zhaoye Fei, Liang Ding, Qipeng Guo, Dacheng Tao, Xipeng Qiu:
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. CoRR abs/2504.09130 (2025) - [i722]Shizhan Cai, Liang Ding, Dacheng Tao:
Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation. CoRR abs/2504.12108 (2025) - [i721]Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao:
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. CoRR abs/2504.12323 (2025) - [i720]Jing Han, Hanting Chen, Kai Han, Xiaomeng Huang, Yongyun Hu, Wenjun Xu, Dacheng Tao, Ping Zhang:
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences. CoRR abs/2504.14174 (2025) - [i719]Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Michael Felsberg, Dacheng Tao, Xuelong Li:
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion. CoRR abs/2504.14294 (2025) - [i718]Siyuan Liang, Jiayang Liu, Jiecheng Zhai, Tianmeng Fang, Rongcheng Tu, Aishan Liu, Xiaochun Cao, Dacheng Tao:
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models. CoRR abs/2504.15512 (2025) - [i717]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i716]Mingqi Yuan, Qi Wang, Guozheng Ma, Bo Li, Xin Jin, Yunbo Wang, Xiaokang Yang, Wenjun Zeng, Dacheng Tao:
Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning. CoRR abs/2504.17490 (2025) - [i715]Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang:
Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection. CoRR abs/2504.20644 (2025) - [i714]Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen:
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. CoRR abs/2504.21659 (2025) - [i713]Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao:
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities. CoRR abs/2505.01043 (2025) - [i712]Wensheng Li, Hao Wang, Ruifeng Zhou, Hanting Guan, Chao Zhang, Dacheng Tao:
Adaptively Point-weighting Curriculum Learning. CoRR abs/2505.01665 (2025) - [i711]Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. CoRR abs/2505.01822 (2025) - 2024
- [j718]Danuta Rutkowska, Piotr Duda, Jinde Cao, Maciej Jaworski, Marek Kisiel-Dorohinicki, Dacheng Tao, Leszek Rutkowski:
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring. Appl. Soft Comput. 161: 111702 (2024) - [j717]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67(1): 110-120 (2024) - [j716]Mang Ye, Xiuwen Fang, Bo Du, Pong C. Yuen, Dacheng Tao:
Heterogeneous Federated Learning: State-of-the-art and Research Challenges. ACM Comput. Surv. 56(3): 79:1-79:44 (2024) - [j715]Haimei Zhao, Jing Zhang, Zhuo Chen, Bo Yuan, Dacheng Tao:
On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation. Mach. Intell. Res. 21(3): 495-513 (2024) - [j714]Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Dacheng Tao:
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow. Int. J. Comput. Vis. 132(2): 466-489 (2024) - [j713]Yang Yang, Chaoyue Wang, Xiaojie Guo, Dacheng Tao:
Robust Unpaired Image Dehazing via Density and Depth Decomposition. Int. J. Comput. Vis. 132(5): 1557-1577 (2024) - [j712]Youfa Liu, Bo Du, Yongyong Chen, Lefei Zhang, Mingming Gong, Dacheng Tao:
Convex-Concave Tensor Robust Principal Component Analysis. Int. J. Comput. Vis. 132(5): 1721-1747 (2024) - [j711]Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao:
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024) - [j710]Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Grounded Affordance from Exocentric View. Int. J. Comput. Vis. 132(6): 1945-1969 (2024) - [j709]Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao:
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm. Int. J. Comput. Vis. 132(9): 3509-3536 (2024) - [j708]Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao:
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. Int. J. Comput. Vis. 132(9): 3537-3565 (2024) - [j707]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
VNAS: Variational Neural Architecture Search. Int. J. Comput. Vis. 132(9): 3689-3713 (2024) - [j706]Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao:
Diff-Font: Diffusion Model for Robust One-Shot Font Generation. Int. J. Comput. Vis. 132(11): 5372-5386 (2024) - [j705]Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang, Dacheng Tao:
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion 111: 102541 (2024) - [j704]Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao:
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations. J. Mach. Learn. Res. 25: 154:1-154:50 (2024) - [j703]Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao:
Local AdaGrad-type algorithm for stochastic convex-concave optimization. Mach. Learn. 113(4): 1819-1838 (2024) - [j702]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169: 506-519 (2024) - [j701]Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang, Zhigang Luo, Dacheng Tao:
MotionTrack: Learning motion predictor for multiple object tracking. Neural Networks 179: 106539 (2024) - [j700]Shiye Lei, Dacheng Tao:
A Comprehensive Survey of Dataset Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 17-32 (2024) - [j699]Wei Zhai, Yang Cao, Jing Zhang, Haiyong Xie, Dacheng Tao, Zheng-Jun Zha:
On Exploring Multiplicity of Primitives and Attributes for Texture Recognition in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 403-420 (2024) - [j698]Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao:
ViTPose++: Vision Transformer for Generic Body Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1212-1230 (2024) - [j697]Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao:
Vision Transformer With Quadrangle Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3608-3624 (2024) - [j696]Haoyu He, Jianfei Cai, Jing Liu, Zizheng Pan, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Pruning Self-Attentions Into Convolutional Layers in Single Path. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3910-3922 (2024) - [j695]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j694]Xudong Tian, Zhizhong Zhang, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie, Dacheng Tao:
Variational Distillation for Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4551-4566 (2024) - [j693]Shengping Zhang, Wei Yu, Feng Jiang, Liqiang Nie, Hongxun Yao, Qingming Huang, Dacheng Tao:
Stereo Image Restoration via Attention-Guided Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4850-4865 (2024) - [j692]Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao:
Towards Open Vocabulary Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5092-5113 (2024) - [j691]Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao:
On Transforming Reinforcement Learning With Transformers: The Development Trajectory. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8580-8599 (2024) - [j690]Jie Gui, Tuo Chen, Jing Zhang, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9052-9071 (2024) - [j689]Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao:
Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10797-10813 (2024) - [j688]Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Ming-Hsuan Yang, Dacheng Tao:
Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11087-11103 (2024) - [j687]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11432-11445 (2024) - [j686]Yang Qian, Yuxuan Du, Dacheng Tao:
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6(1): 32 (2024) - [j685]Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dong-Sheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang:
MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11632-11654 (2024) - [j684]Yingjie Zhai, Guoli Jia, Yu-Kun Lai, Jing Zhang, Jufeng Yang, Dacheng Tao:
Looking Into Gait for Perceiving Emotions via Bilateral Posture and Movement Graph Convolutional Networks. IEEE Trans. Affect. Comput. 15(3): 1634-1648 (2024) - [j683]Xu Yang, Cheng Deng, Kun Wei, Dacheng Tao:
Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction. IEEE Trans. Cybern. 54(7): 4138-4149 (2024) - [j682]Xinjian Huang, Weiwei Liu, Bo Du, Dacheng Tao:
Leveraged Matrix Completion With Noise. IEEE Trans. Cybern. 54(8): 4443-4453 (2024) - [j681]Jianzong Wu, Xiangtai Li, Xia Li, Henghui Ding, Yunhai Tong, Dacheng Tao:
Toward Robust Referring Image Segmentation. IEEE Trans. Image Process. 33: 1782-1794 (2024) - [j680]Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao:
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. 33: 2714-2729 (2024) - [j679]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. 36(9): 4835-4848 (2024) - [j678]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - [j677]Han Zhao, Xu Yang, Kun Wei, Cheng Deng, Dacheng Tao:
Unsupervised Graph Transformer With Augmentation-Free Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(11): 7296-7307 (2024) - [j676]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. IEEE Trans. Knowl. Data Eng. 36(12): 8037-8050 (2024) - [j675]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j674]Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao:
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26: 4230-4241 (2024) - [j673]Kun Wei, Da Chen, Yuhong Li, Xu Yang, Cheng Deng, Dacheng Tao:
Incremental Embedding Learning With Disentangled Representation Translation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3821-3833 (2024) - [j672]Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao:
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5447-5460 (2024) - [j671]Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao:
The Dilemma of Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5603-5615 (2024) - [j670]Jianping Gou, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao:
Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6718-6730 (2024) - [j669]Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao:
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7259-7266 (2024) - [j668]Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao:
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13631-13645 (2024) - [j667]Han Zhao, Xu Yang, Cheng Deng, Dacheng Tao:
Unsupervised Structure-Adaptive Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13728-13740 (2024) - [j666]Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Quantum Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14190-14204 (2024) - [j665]Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong:
Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15971-15983 (2024) - [j664]Yajing Kong, Liu Liu, Huanhuan Chen, Janusz Kacprzyk, Dacheng Tao:
Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16196-16210 (2024) - [j663]Jingwei Zhang, Tongliang Liu, Dacheng Tao:
Going Deeper, Generalizing Better: An Information-Theoretic View for Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16683-16695 (2024) - [j662]Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Learning Visual Affordance Grounding From Demonstration Videos. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16857-16871 (2024) - [j661]Xikun Zhang, Dongjin Song, Dacheng Tao:
Ricci Curvature-Based Graph Sparsification for Continual Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17398-17410 (2024) - [j660]Jianping Gou, Liyuan Sun, Baosheng Yu, Shaohua Wan, Dacheng Tao:
Hierarchical Multi-Attention Transfer for Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 51:1-51:20 (2024) - [j659]Yujia Gao, Li Shen, Liang Liu, Zijian Cao, Dacheng Tao, Huadong Ma, Nei Kato:
Neural-aware Decoupling Fusion based Personalized Federated Learning for Intelligent Sensing. ACM Trans. Sens. Networks 20(6): 122:1-122:21 (2024) - [c650]Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao:
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI 2024: 3495-3503 - [c649]Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao:
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI 2024: 4667-4675 - [c648]Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao:
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. AAAI 2024: 7460-7468 - [c647]Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang:
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) 2024: 8020-8035 - [c646]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) 2024: 8719-8730 - [c645]Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao:
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. ACL (Findings) 2024: 8801-8816 - [c644]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) 2024: 9090-9101 - [c643]Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao:
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) 2024: 10900-10913 - [c642]Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao:
Uncertainty Aware Learning for Language Model Alignment. ACL (1) 2024: 11087-11099 - [c641]Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao:
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) 2024: 13619-13639 - [c640]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) 2024: 13721-13736 - [c639]Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao:
PICO: Accelerating All k-Core Paradigms on GPU. APNet 2024: 221-222 - [c638]Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING 2024: 1-13 - [c637]Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu:
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. LREC/COLING 2024: 15552-15565 - [c636]Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao:
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. CVPR 2024: 5418-5427 - [c635]Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao:
Sheared Backpropagation for Fine-Tuning Foundation Models. CVPR 2024: 5883-5892 - [c634]Minghui Hut, Jianbin Zheng, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham:
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls. CVPR 2024: 7331-7340 - [c633]Haimei Zhao, Jing Zhang, Zhuo Chen, Shanshan Zhao, Dacheng Tao:
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather. CVPR 2024: 14781-14791 - [c632]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
Free: Faster and Better Data-Free Meta-Learning. CVPR 2024: 23273-23282 - [c631]Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao:
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. ECAI 2024: 2966-2973 - [c630]Qu Yang, Mang Ye, Dacheng Tao:
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP. ECCV (11) 2024: 144-160 - [c629]Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao:
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. ECCV (15) 2024: 247-265 - [c628]Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu:
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. EMNLP (Industry Track) 2024: 132-152 - [c627]Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao:
Revisiting Catastrophic Forgetting in Large Language Model Tuning. EMNLP (Findings) 2024: 4297-4308 - [c626]Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. EMNLP (Findings) 2024: 6874-6885 - [c625]Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang:
Self-Powered LLM Modality Expansion for Large Speech-Text Models. EMNLP 2024: 12401-12417 - [c624]Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang:
One For All: Towards Training One Graph Model For All Classification Tasks. ICLR 2024 - [c623]Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao:
Convergence of Bayesian Bilevel Optimization. ICLR 2024 - [c622]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR 2024 - [c621]Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao:
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR 2024 - [c620]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR 2024 - [c619]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c618]Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao:
Towards Theoretical Understandings of Self-Consuming Generative Models. ICML 2024 - [c617]Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. ICML 2024 - [c616]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. ICML 2024 - [c615]Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao:
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. ICML 2024 - [c614]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. ICML 2024 - [c613]Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao:
Generalization Analysis of Stochastic Weight Averaging with General Sampling. ICML 2024 - [c612]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao:
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. ICML 2024 - [c611]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c610]Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao:
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. ICML 2024 - [c609]Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao:
SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition. ICPP 2024: 555-564 - [c608]Zhenyu Xu, Ziliang Ren, Qieshi Zhang, Jie Lou, Dacheng Tao, Jun Cheng:
Semantic-focused Patch Tokenizer with Multi-branch Mixer for Visual Place Recognition. ICRA 2024: 4006-4012 - [c607]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. IJCAI 2024: 5108-5116 - [c606]Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao:
Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD 2024: 4326-4337 - [c605]Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao:
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. ACM Multimedia 2024: 2282-2291 - [c604]Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. ACM Multimedia 2024: 5403-5412 - [c603]Ting Zhe, Jing Zhang, Yongqian Li, Yong Luo, Han Hu, Dacheng Tao:
Multi-Granularity Hand Action Detection. ACM Multimedia 2024: 5604-5613 - [c602]Wenjie Xuan, Yufei Xu, Shanshan Zhao, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao:
When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability. ACM Multimedia 2024: 6979-6988 - [c601]Wenquan Lu, Yufei Xu, Jing Zhang, Chaoyue Wang, Dacheng Tao:
HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting. ACM Multimedia 2024: 7085-7093 - [c600]Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao:
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching. NeurIPS 2024 - [c599]Yongcheng Jing, Seok-Hee Hong, Dacheng Tao:
Deep Graph Mating. NeurIPS 2024 - [c598]Shiye Lei, Sen Zhang, Dacheng Tao:
Offline Behavior Distillation. NeurIPS 2024 - [c597]Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao:
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling. NeurIPS 2024 - [c596]Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness. NeurIPS 2024 - [c595]Yan Sun, Li Shen, Dacheng Tao:
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs. NeurIPS 2024 - [c594]Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao:
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization. NeurIPS 2024 - [c593]Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao:
Adaptive Time-Stepping Schedules for Diffusion Models. UAI 2024: 685-697 - [c592]Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. WWW 2024: 365-376 - [i710]Tongyan Hua, Haotian Bai, Zidong Cao, Ming Liu, Dacheng Tao, Lin Wang:
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping. CoRR abs/2401.03203 (2024) - [i709]Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao:
Intention Analysis Prompting Makes Large Language Models A Good Jailbreak Defender. CoRR abs/2401.06561 (2024) - [i708]Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao:
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR abs/2401.06628 (2024) - [i707]Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao:
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR abs/2401.06659 (2024) - [i706]Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Dacheng Tao:
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching. CoRR abs/2401.07080 (2024) - [i705]Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao:
Solving Continual Offline Reinforcement Learning with Decision Transformer. CoRR abs/2401.08478 (2024) - [i704]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR abs/2401.12087 (2024) - [i703]Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao:
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation. CoRR abs/2401.12479 (2024) - [i702]Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao:
Topology-aware Embedding Memory for Learning on Expanding Graphs. CoRR abs/2401.13200 (2024) - [i701]Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao:
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR abs/2401.17766 (2024) - [i700]Maoyuan Ye, Jing Zhang, Juhua Liu, Chenyu Liu, Baocai Yin, Cong Liu, Bo Du, Dacheng Tao:
Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. CoRR abs/2401.17904 (2024) - [i699]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR abs/2402.00433 (2024) - [i698]Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang, Sen Zhang, Yifei Yang, Xinggao Liu, Haoxuan Li, Dacheng Tao:
FreDF: Learning to Forecast in Frequency Domain. CoRR abs/2402.02399 (2024) - [i697]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. CoRR abs/2402.02687 (2024) - [i696]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i695]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. CoRR abs/2402.03667 (2024) - [i694]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i693]Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao:
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR abs/2402.08552 (2024) - [i692]Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao:
Mitigating Reward Hacking via Information-Theoretic Reward Modeling. CoRR abs/2402.09345 (2024) - [i691]Xikun Zhang, Dongjin Song, Dacheng Tao:
Continual Learning on Graphs: Challenges, Solutions, and Opportunities. CoRR abs/2402.11565 (2024) - [i690]Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao:
Towards Theoretical Understandings of Self-Consuming Generative Models. CoRR abs/2402.11778 (2024) - [i689]Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen:
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR abs/2402.11857 (2024) - [i688]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR abs/2402.11889 (2024) - [i687]Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao:
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR abs/2402.11890 (2024) - [i686]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i685]Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou:
A Survey on Knowledge Distillation of Large Language Models. CoRR abs/2402.13116 (2024) - [i684]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao:
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR abs/2402.13408 (2024) - [i683]Chen Zhao, Ting Yu, Zhigao Zheng, Song Jin, Jiawei Jiang, Bo Du, Dacheng Tao:
PICO: Accelerating All k-Core Paradigms on GPU. CoRR abs/2402.15253 (2024) - [i682]Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, Tat-Jen Cham:
Trajectory Consistency Distillation. CoRR abs/2402.19159 (2024) - [i681]Wenjie Xuan, Yufei Xu, Shanshan Zhao, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao:
When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability. CoRR abs/2403.00467 (2024) - [i680]Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu:
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR abs/2403.09963 (2024) - [i679]Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson:
Inverse learning of black-box aggregator for robust Nash equilibrium. CoRR abs/2403.10980 (2024) - [i678]Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao:
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. CoRR abs/2403.11113 (2024) - [i677]Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang:
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining. CoRR abs/2403.13430 (2024) - [i676]Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao:
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR abs/2403.14399 (2024) - [i675]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning. CoRR abs/2403.14410 (2024) - [i674]Sihan Ma, Qiong Cao, Jing Zhang, Dacheng Tao:
Contact-aware Human Motion Generation from Textual Descriptions. CoRR abs/2403.15709 (2024) - [i673]Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao:
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. CoRR abs/2403.16271 (2024) - [i672]Gan Pei, Jiangning Zhang, Menghan Hu, Guangtao Zhai, Chengjie Wang, Zhenyu Zhang, Jian Yang, Chunhua Shen, Dacheng Tao:
Deepfake Generation and Detection: A Benchmark and Survey. CoRR abs/2403.17881 (2024) - [i671]Haimei Zhao, Jing Zhang, Zhuo Chen, Shanshan Zhao, Dacheng Tao:
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather. CoRR abs/2404.05145 (2024) - [i670]Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yi, Dacheng Tao:
Federated Distillation: A Survey. CoRR abs/2404.08564 (2024) - [i669]Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao:
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR abs/2404.10760 (2024) - [i668]Zhengwei Tao, Ting-En Lin, Xiancai Chen, Hangyu Li, Yuchuan Wu, Yongbin Li, Zhi Jin, Fei Huang, Dacheng Tao, Jingren Zhou:
A Survey on Self-Evolution of Large Language Models. CoRR abs/2404.14387 (2024) - [i667]Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao:
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR abs/2404.14963 (2024) - [i666]Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Federated Learning with Only Positive Labels by Exploring Label Correlations. CoRR abs/2404.15598 (2024) - [i665]Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR abs/2404.18413 (2024) - [i664]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
FREE: Faster and Better Data-Free Meta-Learning. CoRR abs/2405.00984 (2024) - [i663]Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao:
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR abs/2405.01649 (2024) - [i662]Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao:
LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models. CoRR abs/2405.06001 (2024) - [i661]Xinbiao Wang, Yuxuan Du, Kecheng Liu, Yong Luo, Bo Du, Dacheng Tao:
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem. CoRR abs/2405.07226 (2024) - [i660]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Learning Multi-Agent Communication from Graph Modeling Perspective. CoRR abs/2405.08550 (2024) - [i659]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao:
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR abs/2405.16560 (2024) - [i658]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR abs/2405.17098 (2024) - [i657]Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. CoRR abs/2405.18080 (2024) - [i656]Xiaofeng Cong, Yu Zhao, Jie Gui, Junming Hou, Dacheng Tao:
A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning. CoRR abs/2405.19684 (2024) - [i655]Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR abs/2406.00934 (2024) - [i654]Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao:
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR abs/2406.03280 (2024) - [i653]Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao:
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR abs/2406.04031 (2024) - [i652]Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao:
Revisiting Catastrophic Forgetting in Large Language Model Tuning. CoRR abs/2406.04836 (2024) - [i651]Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao:
Uncertainty Aware Learning for Language Model Alignment. CoRR abs/2406.04854 (2024) - [i650]Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao:
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR abs/2406.06302 (2024) - [i649]Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang, Enyu Zhou, Bo Wang, Qi Zhang, Liang Ding, Dacheng Tao:
Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. CoRR abs/2406.11190 (2024) - [i648]Di Wang, Meiqi Hu, Yao Jin, Yuchun Miao, Jiaqi Yang, Yichu Xu, Xiaolei Qin, Jiaqi Ma, Lingyu Sun, Chenxing Li, Chuan Fu, Hongruixuan Chen, Chengxi Han, Naoto Yokoya, Jing Zhang, Minqiang Xu, Lin Liu, Lefei Zhang, Chen Wu, Bo Du, Dacheng Tao, Liangpei Zhang:
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model. CoRR abs/2406.11519 (2024) - [i647]Sihan Ma, Jing Zhang, Qiong Cao, Dacheng Tao:
PoseBench: Benchmarking the Robustness of Pose Estimation Models under Corruptions. CoRR abs/2406.14367 (2024) - [i646]Xincheng Shuai, Henghui Ding, Xingjun Ma, Rongcheng Tu, Yu-Gang Jiang, Dacheng Tao:
A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models. CoRR abs/2406.14555 (2024) - [i645]Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao:
Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. CoRR abs/2407.00341 (2024) - [i644]Yisong Xiao, Aishan Liu, QianJia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao:
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR abs/2407.00600 (2024) - [i643]Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao:
Learning System Dynamics without Forgetting. CoRR abs/2407.00717 (2024) - [i642]Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang, Dacheng Tao:
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. CoRR abs/2407.02301 (2024) - [i641]Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Dacheng Tao:
Diffusion Model-Based Video Editing: A Survey. CoRR abs/2407.07111 (2024) - [i640]Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR abs/2407.19547 (2024) - [i639]Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao:
Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR abs/2408.02882 (2024) - [i638]Jingcai Guo, Zhijie Rao, Zhi Chen, Song Guo, Jingren Zhou, Dacheng Tao:
On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey. CoRR abs/2408.04879 (2024) - [i637]Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR abs/2408.07666 (2024) - [i636]Kaining Zhang, Junyu Liu, Liu Liu, Liang Jiang, Min-Hsiu Hsieh, Dacheng Tao:
The curse of random quantum data. CoRR abs/2408.09937 (2024) - [i635]Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao:
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models. CoRR abs/2408.10174 (2024) - [i634]Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao:
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR abs/2408.10504 (2024) - [i633]Yuxuan Du, Min-Hsiu Hsieh, Dacheng Tao:
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits. CoRR abs/2408.12199 (2024) - [i632]Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Dacheng Tao:
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. CoRR abs/2408.15556 (2024) - [i631]Yan Sun, Li Shen, Dacheng Tao:
Convergent Differential Privacy Analysis for General Federated Learning: the f-DP Perspective. CoRR abs/2408.15621 (2024) - [i630]Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao:
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment. CoRR abs/2408.16520 (2024) - [i629]Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR abs/2409.02512 (2024) - [i628]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. CoRR abs/2409.05620 (2024) - [i627]Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao:
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding. CoRR abs/2409.05923 (2024) - [i626]Shiming Ge, Zhao Luo, Chunhui Zhang, Yingying Hua, Dacheng Tao:
Distilling Channels for Efficient Deep Tracking. CoRR abs/2409.11785 (2024) - [i625]Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang:
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. CoRR abs/2409.12512 (2024) - [i624]Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao:
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. CoRR abs/2409.14335 (2024) - [i623]Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao:
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness. CoRR abs/2409.18692 (2024) - [i622]Yan Sun, Li Shen, Dacheng Tao:
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs. CoRR abs/2409.18915 (2024) - [i621]Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang:
Self-Powered LLM Modality Expansion for Large Speech-Text Models. CoRR abs/2410.03798 (2024) - [i620]Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao:
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. CoRR abs/2410.08970 (2024) - [i619]Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. CoRR abs/2410.11371 (2024) - [i618]Shi Fu, Yuzhu Chen, Yingjie Wang, Dacheng Tao:
On Championing Foundation Models: From Explainability to Interpretability. CoRR abs/2410.11444 (2024) - [i617]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR abs/2410.14389 (2024) - [i616]Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun:
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR abs/2410.15698 (2024) - [i615]Aoran Xiao, Weihao Xuan, Junjue Wang, Jiaxing Huang, Dacheng Tao, Shijian Lu, Naoto Yokoya:
Foundation Models for Remote Sensing and Earth Observation: A Survey. CoRR abs/2410.16602 (2024) - [i614]Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao:
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR abs/2410.18927 (2024) - [i613]Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao:
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging. CoRR abs/2410.21804 (2024) - [i612]Shiye Lei, Sen Zhang, Dacheng Tao:
Offline Behavior Distillation. CoRR abs/2410.22728 (2024) - [i611]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective. CoRR abs/2411.00382 (2024) - [i610]Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. CoRR abs/2411.01146 (2024) - [i609]Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao:
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization. CoRR abs/2411.01168 (2024) - [i608]Miaoxi Zhu, Yan Sun, Li Shen, Bo Du, Dacheng Tao:
Stability and Generalization for Distributed SGDA. CoRR abs/2411.09365 (2024) - [i607]Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye:
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. CoRR abs/2411.10928 (2024) - [i606]Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao:
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. CoRR abs/2411.11288 (2024) - [i605]Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu, Li Shen, Ya Zhang, Dacheng Tao:
Continual Task Learning through Adaptive Policy Self-Composition. CoRR abs/2411.11364 (2024) - [i604]Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao:
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning. CoRR abs/2411.11727 (2024) - [i603]Peng Wang, Li Shen, Zerui Tao, Yan Sun, Guodong Zheng, Dacheng Tao:
A Unified Analysis for Finite Weight Averaging. CoRR abs/2411.13169 (2024) - [i602]Rong-Cheng Tu, Wenhao Sun, Zhao Jin, Jingyi Liao, Jiaxing Huang, Dacheng Tao:
SPAgent: Adaptive Task Decomposition and Model Selection for General Video Generation and Editing. CoRR abs/2411.18983 (2024) - [i601]Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao:
BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. CoRR abs/2412.00746 (2024) - [i600]Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao:
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models. CoRR abs/2412.01528 (2024) - [i599]Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao:
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs. CoRR abs/2412.02220 (2024) - [i598]Jiangning Zhang, Teng Hu, Haoyang He, Zhucun Xue, Yabiao Wang, Chengjie Wang, Yong Li, Xiangtai Li, Dacheng Tao:
EMOv2: Pushing 5M Vision Model Frontier. CoRR abs/2412.06674 (2024) - [i597]Siyuan Liang, Jiajun Gong, Tianmeng Fang, Aishan Liu, Tao Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao, Ee-Chien Chang:
Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning. CoRR abs/2412.11471 (2024) - [i596]Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Zhao Jin, Dacheng Tao:
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration. CoRR abs/2412.11706 (2024) - [i595]Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen, Dacheng Tao:
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search. CoRR abs/2412.18319 (2024) - 2023
- [j658]Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao:
Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. 322: 103951 (2023) - [j657]Jing Jing, Ziyang Liu, Hao Guan, Wanlin Zhu, Zhe Zhang, Xia Meng, Jian Cheng, Yuesong Pan, Yong Jiang, Yilong Wang, Haijun Niu, Xingquan Zhao, Wei Wen, Jinxi Lin, Wei Li, Hao Li, Perminder S. Sachdev, Tao Liu, Zixiao Li, Dacheng Tao, Yongjun Wang:
A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke. Adv. Intell. Syst. 5(4) (2023) - [j656]Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao:
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. ACM Comput. Surv. 55(13s): 279:1-279:37 (2023) - [j655]Zongqi Liu, Xueguan Song, Chao Zhang, Yunsheng Ma, Dacheng Tao:
RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Eng. Appl. Artif. Intell. 120: 105871 (2023) - [j654]Qi Zheng, Chaoyue Wang, Dadong Wang, Dacheng Tao:
Visual Superordinate Abstraction for Robust Concept Learning. Int. J. Autom. Comput. 20(1): 79-91 (2023) - [j653]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20(4): 554-568 (2023) - [j652]Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao:
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond. Int. J. Comput. Vis. 131(5): 1141-1162 (2023) - [j651]Yajing Kong, Liu Liu, Maoying Qiao, Zhen Wang, Dacheng Tao:
Trust-Region Adaptive Frequency for Online Continual Learning. Int. J. Comput. Vis. 131(7): 1825-1839 (2023) - [j650]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao:
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023) - [j649]Sihan Ma, Jizhizi Li, Jing Zhang, He Zhang, Dacheng Tao:
Rethinking Portrait Matting with Privacy Preserving. Int. J. Comput. Vis. 131(8): 2172-2197 (2023) - [j648]Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, Dacheng Tao, Xuelong Li:
Learning Geometric Transformation for Point Cloud Completion. Int. J. Comput. Vis. 131(9): 2425-2445 (2023) - [j647]Zhe Chen, Jing Zhang, Yufei Xu, Dacheng Tao:
Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection. Int. J. Comput. Vis. 131(10): 2738-2756 (2023) - [j646]Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao:
Deep Corner. Int. J. Comput. Vis. 131(11): 2908-2932 (2023) - [j645]Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao:
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131(11): 2959-2976 (2023) - [j644]Danuta Rutkowska, Piotr Duda, Jinde Cao, Leszek Rutkowski, Aleksander Byrski, Maciej Jaworski, Dacheng Tao:
The L2 convergence of stream data mining algorithms based on probabilistic neural networks. Inf. Sci. 631: 346-368 (2023) - [j643]Stephen J. Maybank, Liu Liu, Dacheng Tao:
Generalised Watson Distribution on the Hypersphere with Applications to Clustering. J. Math. Imaging Vis. 65(2): 302-322 (2023) - [j642]Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao:
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023) - [j641]Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama:
Class-Wise Denoising for Robust Learning Under Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2835-2848 (2023) - [j640]Xikun Zhang, Dongjin Song, Dacheng Tao:
Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4622-4636 (2023) - [j639]Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chris Ding, Dacheng Tao:
Tensorized Bipartite Graph Learning for Multi-View Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5187-5202 (2023) - [j638]Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao:
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5481-5496 (2023) - [j637]Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao:
Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6594-6601 (2023) - [j636]Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao:
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7853-7869 (2023) - [j635]Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao:
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023) - [j634]Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao:
WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9186-9205 (2023) - [j633]Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang:
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11270-11282 (2023) - [j632]Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao:
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12236-12249 (2023) - [j631]Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao:
Recent Advances for Quantum Neural Networks in Generative Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12321-12340 (2023) - [j630]Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Fisher Yu, Dacheng Tao, Andreas Geiger:
Unifying Flow, Stereo and Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13941-13958 (2023) - [j629]Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao:
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14453-14464 (2023) - [j628]Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao:
End-to-End One-Shot Human Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14481-14496 (2023) - [j627]Youjian Zhang, Chaoyue Wang, Dacheng Tao:
Neural Maximum a Posteriori Estimation on Unpaired Data for Motion Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15203-15218 (2023) - [j626]Yadi Wang, Jun Wang, Dacheng Tao:
Neurodynamics-driven supervised feature selection. Pattern Recognit. 136: 109254 (2023) - [j625]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer transition in neural architecture search. Pattern Recognit. 143: 109697 (2023) - [j624]Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao:
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2629-2642 (2023) - [j623]Mingjin Zhang, Qianqian Wu, Jing Zhang, Xinbo Gao, Jie Guo, Dacheng Tao:
Fluid Micelle Network for Image Super-Resolution Reconstruction. IEEE Trans. Cybern. 53(1): 578-591 (2023) - [j622]Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53(8): 5226-5239 (2023) - [j621]Di Wang, Jing Zhang, Bo Du, Gui-Song Xia, Dacheng Tao:
An Empirical Study of Remote Sensing Pretraining. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j620]Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang:
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j619]Jinlong Fan, Jing Zhang, Dacheng Tao:
SIR: Self-Supervised Image Rectification via Seeing the Same Scene From Multiple Different Lenses. IEEE Trans. Image Process. 32: 865-877 (2023) - [j618]Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, Dacheng Tao:
CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Trans. Image Process. 32: 980-994 (2023) - [j617]Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
DCN-T: Dual Context Network With Transformer for Hyperspectral Image Classification. IEEE Trans. Image Process. 32: 2536-2551 (2023) - [j616]Long Lan, Xiao Teng, Jing Zhang, Xiang Zhang, Dacheng Tao:
Learning to Purification for Unsupervised Person Re-Identification. IEEE Trans. Image Process. 32: 3338-3353 (2023) - [j615]Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Dacheng Tao, Xuelong Li:
VTAE: Variational Transformer Autoencoder With Manifolds Learning. IEEE Trans. Image Process. 32: 4486-4500 (2023) - [j614]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35(4): 3313-3332 (2023) - [j613]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao:
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(10): 10098-10111 (2023) - [j612]Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao:
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35(12): 12873-12886 (2023) - [j611]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j610]Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao:
Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Trans. Multim. 25: 2624-2635 (2023) - [j609]Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, Dacheng Tao:
Quality-Aware Part Models for Occluded Person Re-Identification. IEEE Trans. Multim. 25: 3154-3165 (2023) - [j608]Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Trans. Multim. 25: 7837-7850 (2023) - [j607]Jun Cheng, Fuxiang Wu, Liu Liu, Qieshi Zhang, Leszek Rutkowski, Dacheng Tao:
InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Trans. Multim. 25: 8279-8293 (2023) - [j606]Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao:
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25: 8383-8395 (2023) - [j605]Xu Yang, Cheng Deng, Zhiyuan Dang, Dacheng Tao:
Deep Multiview Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 34(1): 516-526 (2023) - [j604]Liu Liu, Ji Liu, Cho-Jui Hsieh, Dacheng Tao:
Stochastically Controlled Compositional Gradient for Composition Problems. IEEE Trans. Neural Networks Learn. Syst. 34(2): 611-622 (2023) - [j603]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 677-689 (2023) - [j602]Dalu Guo, Chang Xu, Dacheng Tao:
Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(2): 1023-1034 (2023) - [j601]Jingwei Zhang, Tongliang Liu, Dacheng Tao:
An Optimal Transport Analysis on Generalization in Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2842-2853 (2023) - [j600]Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao:
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9952-9965 (2023) - [j599]Mingjin Zhang, Jingwei Xin, Jing Zhang, Dacheng Tao, Xinbo Gao:
Curvature Consistent Network for Microscope Chip Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10538-10551 (2023) - [j598]Guanyu Gao, Yonggang Wen, Dacheng Tao:
Distributed Energy Trading and Scheduling Among Microgrids via Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10638-10652 (2023) - [j597]Xinyu Wu, Jinke Li, Liu Liu, Dacheng Tao:
The Visual Footsteps Planning System for Exoskeleton Robots Under Complex Terrain. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 5149-5160 (2023) - [j596]Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. IEEE Trans. Sustain. Comput. 8(4): 583-595 (2023) - [c591]Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao:
Learning to Learn Better for Video Object Segmentation. AAAI 2023: 1205-1212 - [c590]Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Bo Du, Dacheng Tao:
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer. AAAI 2023: 3241-3249 - [c589]Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Offline Quantum Reinforcement Learning in a Conservative Manner. AAAI 2023: 7148-7156 - [c588]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI 2023: 10095-10103 - [c587]Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI 2023: 11470-11478 - [c586]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736 - [c585]Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. AAAI 2023: 15313-15321 - [c584]Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao:
CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) 2023: 671-687 - [c583]Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao:
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) 2023: 841-850 - [c582]Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) 2023: 2048-2061 - [c581]Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) 2023: 3614-3633 - [c580]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) 2023: 4130-4145 - [c579]Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao:
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) 2023: 5892-5907 - [c578]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) 2023: 10391-10405 - [c577]Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao:
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) 2023: 10932-10940 - [c576]Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao:
PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) 2023: 14354-14366 - [c575]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825 - [c574]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. AutoML 2023: 3/1-20 - [c573]Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black:
Generating Holistic 3D Human Motion from Speech. CVPR 2023: 469-480 - [c572]Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao:
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR 2023: 4096-4107 - [c571]Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Leverage Interactive Affinity for Affordance Learning. CVPR 2023: 6809-6819 - [c570]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR 2023: 7736-7745 - [c569]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877 - [c568]Haoyu He, Jianfei Cai, Zizheng Pan, Jing Liu, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Dynamic Focus-aware Positional Queries for Semantic Segmentation. CVPR 2023: 11299-11308 - [c567]Cheng Wen, Baosheng Yu, Dacheng Tao:
Learnable Skeleton-Aware 3D Point Cloud Sampling. CVPR 2023: 17671-17681 - [c566]Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao:
TriDet: Temporal Action Detection with Relative Boundary Modeling. CVPR 2023: 18857-18866 - [c565]Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao:
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting. CVPR 2023: 19348-19357 - [c564]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models Under Domain and Category Shift. CVPR 2023: 20019-20028 - [c563]Jizhizi Li, Jing Zhang, Dacheng Tao:
Referring Image Matting. CVPR 2023: 22448-22457 - [c562]Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao:
CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose. CVPR 2023: 23272-23281 - [c561]Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CVPR 2023: 24345-24354 - [c560]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CVPR 2023: 24552-24562 - [c559]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633 - [c558]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974 - [c557]Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang:
PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP 2023: 10140-10154 - [c556]Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP 2023: 11305-11327 - [c555]Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao:
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP 2023: 14685-14691 - [c554]Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao:
Domain Specified Optimization for Deployment Authorization. ICCV 2023: 5072-5082 - [c553]Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. ICCV 2023: 11791-11801 - [c552]Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao:
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. ICCV 2023: 12052-12062 - [c551]Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao:
Exploring Temporal Concurrency for Video-Language Representation Learning. ICCV 2023: 15522-15532 - [c550]Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng:
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV 2023: 18859-18869 - [c549]Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao:
Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV 2023: 22222-22232 - [c548]Minghui Hu, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai N. Suganthan:
Unified Discrete Diffusion for Simultaneous Vision-Language Generation. ICLR 2023 - [c547]Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang:
CktGNN: Circuit Graph Neural Network for Electronic Design Automation. ICLR 2023 - [c546]Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao:
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. ICLR 2023 - [c545]Chang Li, Dongjin Song, Dacheng Tao:
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings. ICLR 2023 - [c544]Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao:
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR 2023 - [c543]Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao:
Alternating Differentiation for Optimization Layers. ICLR 2023 - [c542]Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao:
Symmetric Pruning in Quantum Neural Networks. ICLR 2023 - [c541]Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan:
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR 2023 - [c540]Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao:
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning. ICLR 2023 - [c539]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627 - [c538]Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao:
Structured Cooperative Learning with Graphical Model Priors. ICML 2023: 20599-20622 - [c537]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291 - [c536]Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao:
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML 2023: 32991-33013 - [c535]Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao:
Tilted Sparse Additive Models. ICML 2023: 35579-35604 - [c534]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML 2023: 43005-43036 - [c533]Zhihao Cheng, Li Shen, Dacheng Tao:
Off-policy Imitation Learning from Visual Inputs. ICRA 2023: 2937-2943 - [c532]Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. IJCAI 2023: 4244-4252 - [c531]Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI 2023: 6712-6722 - [c530]Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng:
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS 2023: 167-177 - [c529]Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c528]Shengcong Chen, Changxing Ding, Dacheng Tao, Hao Chen:
DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation. MICCAI (6) 2023: 591-601 - [c527]Wenjie Xuan, Shanshan Zhao, Yu Yao, Juhua Liu, Tongliang Liu, Yixin Chen, Bo Du, Dacheng Tao:
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions. ACM Multimedia 2023: 1924-1932 - [c526]Sihan Ma, Qiong Cao, Hongwei Yi, Jing Zhang, Dacheng Tao:
GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction. ACM Multimedia 2023: 2817-2828 - [c525]Yiyang Chen, Shanshan Zhao, Changxing Ding, Liyao Tang, Chaoyue Wang, Dacheng Tao:
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation. ACM Multimedia 2023: 3866-3875 - [c524]Jinlong Fan, Jing Zhang, Zhi Hou, Dacheng Tao:
AniPixel: Towards Animatable Pixel-Aligned Human Avatar. ACM Multimedia 2023: 8626-8634 - [c523]Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham:
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation. NeurIPS 2023 - [c522]Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang:
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. NeurIPS 2023 - [c521]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023 - [c520]Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao:
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. NeurIPS 2023 - [c519]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023 - [c518]Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang:
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network. NeurIPS 2023 - [c517]Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao:
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. NeurIPS 2023 - [c516]Yan Sun, Li Shen, Dacheng Tao:
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. NeurIPS 2023 - [c515]Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao:
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation. NeurIPS 2023 - [c514]Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao:
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. NeurIPS 2023 - [c513]Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao:
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm. NeurIPS 2023 - [c512]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium 2023: 3781-3798 - [c511]Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [c510]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i594]Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Dacheng Tao:
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation. CoRR abs/2301.00954 (2023) - [i593]Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh:
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification. CoRR abs/2301.01597 (2023) - [i592]Shiye Lei, Dacheng Tao:
A Comprehensive Survey to Dataset Distillation. CoRR abs/2301.05603 (2023) - [i591]Jie Gui, Tuo Chen, Qiong Cao, Zhenan Sun, Hao Luo, Dacheng Tao:
A Survey of Self-Supervised Learning from Multiple Perspectives: Algorithms, Theory, Applications and Future Trends. CoRR abs/2301.05712 (2023) - [i590]Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao:
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR abs/2301.08015 (2023) - [i589]Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao:
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR abs/2301.12203 (2023) - [i588]Yi Wu, Ziqiang Li, Chaoyue Wang, Heliang Zheng, Shanshan Zhao, Bin Li, Dacheng Tao:
Domain Re-Modulation for Few-Shot Generative Domain Adaptation. CoRR abs/2302.02550 (2023) - [i587]Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao:
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning. CoRR abs/2302.03004 (2023) - [i586]Jinlong Fan, Jing Zhang, Zhi Hou, Dacheng Tao:
AniPixel: Towards Animatable Pixel-Aligned Human Avatar. CoRR abs/2302.03397 (2023) - [i585]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. CoRR abs/2302.04083 (2023) - [i584]Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao:
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. CoRR abs/2302.05201 (2023) - [i583]Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao:
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach. CoRR abs/2302.05726 (2023) - [i582]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR abs/2302.07450 (2023) - [i581]Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang:
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks. CoRR abs/2302.08890 (2023) - [i580]Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao:
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR abs/2302.09268 (2023) - [i579]Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao:
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR abs/2302.09491 (2023) - [i578]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yuanhai Lv, Baosheng Yu, Dacheng Tao:
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning. CoRR abs/2302.09532 (2023) - [i577]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR abs/2302.10198 (2023) - [i576]Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao:
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR abs/2302.10429 (2023) - [i575]Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao:
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR abs/2302.11051 (2023) - [i574]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i573]Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao:
Subspace based Federated Unlearning. CoRR abs/2302.12448 (2023) - [i572]Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR abs/2303.00501 (2023) - [i571]Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR abs/2303.00565 (2023) - [i570]Qi Zheng, Daqing Liu, Chaoyue Wang, Jing Zhang, Dadong Wang, Dacheng Tao:
ESceme: Vision-and-Language Navigation with Episodic Scene Memory. CoRR abs/2303.01032 (2023) - [i569]Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King:
Time Associated Meta Learning for Clinical Prediction. CoRR abs/2303.02570 (2023) - [i568]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Graph Decision Transformer. CoRR abs/2303.03747 (2023) - [i567]Xin Yan, Zuchao Li, Lefei Zhang, Bo Du, Dacheng Tao:
Centroid-centered Modeling for Efficient Vision Transformer Pre-training. CoRR abs/2303.04664 (2023) - [i566]Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao:
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. CoRR abs/2303.06682 (2023) - [i565]Sanqing Qu, Tianpei Zou, Florian Röhrbein, Cewu Lu, Guang Chen, Dacheng Tao, Changjun Jiang:
Upcycling Models under Domain and Category Shift. CoRR abs/2303.07110 (2023) - [i564]Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao:
TriDet: Temporal Action Detection with Relative Boundary Modeling. CoRR abs/2303.07347 (2023) - [i563]Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang:
Sensitivity-Aware Visual Parameter-Efficient Tuning. CoRR abs/2303.08566 (2023) - [i562]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. CoRR abs/2303.08678 (2023) - [i561]Kang Liao, Lang Nie, Shujuan Huang, Chunyu Lin, Jing Zhang, Yao Zhao, Moncef Gabbouj, Dacheng Tao:
Deep Learning for Camera Calibration and Beyond: A Survey. CoRR abs/2303.10559 (2023) - [i560]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR abs/2303.11183 (2023) - [i559]Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao:
Make Landscape Flatter in Differentially Private Federated Learning. CoRR abs/2303.11242 (2023) - [i558]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. CoRR abs/2303.13780 (2023) - [i557]Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao:
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. CoRR abs/2303.13809 (2023) - [i556]Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao:
Vision Transformer with Quadrangle Attention. CoRR abs/2303.15105 (2023) - [i555]Haimei Zhao, Qiming Zhang, Shanshan Zhao, Jing Zhang, Dacheng Tao:
BEVSimDet: Simulated Multi-modal Distillation in Bird's-Eye View for Multi-view 3D Object Detection. CoRR abs/2303.16818 (2023) - [i554]Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Dacheng Tao, Xuelong Li:
VTAE: Variational Transformer Autoencoder with Manifolds Learning. CoRR abs/2304.00948 (2023) - [i553]Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Quantum Imitation Learning. CoRR abs/2304.02480 (2023) - [i552]Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao:
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR abs/2304.03589 (2023) - [i551]Jizhizi Li, Jing Zhang, Dacheng Tao:
Deep Image Matting: A Comprehensive Survey. CoRR abs/2304.04672 (2023) - [i550]Jinlong Fan, Jing Zhang, Dacheng Tao:
UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing. CoRR abs/2304.06969 (2023) - [i549]Kunping Huang, Sen Zhang, Jing Zhang, Dacheng Tao:
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey. CoRR abs/2304.09793 (2023) - [i548]Di Wang, Jing Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification. CoRR abs/2304.09915 (2023) - [i547]Yongcheng Jing, Xinchao Wang, Dacheng Tao:
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. CoRR abs/2304.11595 (2023) - [i546]Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao:
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search. CoRR abs/2304.11701 (2023) - [i545]Zhi Hou, Baosheng Yu, Dacheng Tao:
Compositional 3D Human-Object Neural Animation. CoRR abs/2304.14070 (2023) - [i544]Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CoRR abs/2304.14593 (2023) - [i543]Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao:
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR abs/2305.00873 (2023) - [i542]Haibin He, Jing Zhang, Mengyang Xu, Juhua Liu, Bo Du, Dacheng Tao:
Scalable Mask Annotation for Video Text Spotting. CoRR abs/2305.01443 (2023) - [i541]Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, Dacheng Tao:
Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey. CoRR abs/2305.01899 (2023) - [i540]Di Wang, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang:
Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model. CoRR abs/2305.02034 (2023) - [i539]Jianbin Zheng, Daqing Liu, Chaoyue Wang, Minghui Hu, Zuopeng Yang, Changxing Ding, Dacheng Tao:
MMoT: Mixture-of-Modality-Tokens Transformer for Composed Multimodal Conditional Image Synthesis. CoRR abs/2305.05992 (2023) - [i538]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Prompt-Tuning Decision Transformer with Preference Ranking. CoRR abs/2305.09648 (2023) - [i537]Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao:
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. CoRR abs/2305.11584 (2023) - [i536]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - [i535]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR abs/2305.13547 (2023) - [i534]Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao:
Improving Heterogeneous Model Reuse by Density Estimation. CoRR abs/2305.13871 (2023) - [i533]Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao:
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training. CoRR abs/2305.15157 (2023) - [i532]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR abs/2305.15273 (2023) - [i531]Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR abs/2305.15275 (2023) - [i530]Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao:
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation. CoRR abs/2305.15832 (2023) - [i529]Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao:
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. CoRR abs/2305.16379 (2023) - [i528]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR abs/2305.18413 (2023) - [i527]Maoyuan Ye, Jing Zhang, Shanshan Zhao, Juhua Liu, Tongliang Liu, Bo Du, Dacheng Tao:
DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Text Spotting. CoRR abs/2305.19957 (2023) - [i526]Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. CoRR abs/2306.00434 (2023) - [i525]Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham:
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation. CoRR abs/2306.00964 (2023) - [i524]Haibo Qiu, Baosheng Yu, Dacheng Tao:
Collect-and-Distribute Transformer for 3D Point Cloud Analysis. CoRR abs/2306.01257 (2023) - [i523]Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang, Huayue Cai, Zhigang Luo, Dacheng Tao:
MotionTrack: Learning Motion Predictor for Multiple Object Tracking. CoRR abs/2306.02585 (2023) - [i522]Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao:
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR abs/2306.02913 (2023) - [i521]Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao:
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. CoRR abs/2306.03166 (2023) - [i520]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. CoRR abs/2306.03266 (2023) - [i519]Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao:
Transition role of entangled data in quantum machine learning. CoRR abs/2306.03481 (2023) - [i518]Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao:
Human-imperceptible, Machine-recognizable Images. CoRR abs/2306.03679 (2023) - [i517]Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao:
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Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. CoRR abs/2306.05706 (2023) - [i515]