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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
- 2024
[j716]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)- [j715]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) - [j714]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) - [j713]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) - [j712]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) - [j711]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) - [j710]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) - [j709]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) - [j708]Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Grounded Affordance from Exocentric View. Int. J. Comput. Vis. 132(6): 1945-1969 (2024) - [j707]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) - [j706]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) - [j705]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
VNAS: Variational Neural Architecture Search. Int. J. Comput. Vis. 132(9): 3689-3713 (2024) - [j704]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) - [j703]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) - [j702]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) - [j701]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) - [j700]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) - [j699]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) - [j698]Shiye Lei, Dacheng Tao:
A Comprehensive Survey of Dataset Distillation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 17-32 (2024) - [j697]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) - [j696]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) - [j695]Qiming Zhang, Jing Zhang, Yufei Xu, Dacheng Tao:
Vision Transformer With Quadrangle Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3608-3624 (2024) - [j694]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) - [j693]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) - [j692]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) - [j691]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) - [j690]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) - [j689]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) - [j688]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) - [j687]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) - [j686]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) - [j685]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) - [j684]Yang Qian, Yuxuan Du, Dacheng Tao:
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. Quantum Mach. Intell. 6(1): 32 (2024) - [j683]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) - [j682]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) - [j681]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) - [j680]Xinjian Huang, Weiwei Liu, Bo Du, Dacheng Tao:
Leveraged Matrix Completion With Noise. IEEE Trans. Cybern. 54(8): 4443-4453 (2024) - [j679]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) - [j678]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) - [j677]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) - [j676]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) - [j675]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) - [j674]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) - [j673]Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao:
Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j672]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) - [j671]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) - [j670]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) - [j669]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) - [j668]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) - [j667]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) - [j666]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) - [j665]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) - [j664]Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao:
Quantum Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14190-14204 (2024) - [j663]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) - [j662]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) - [j661]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) - [j660]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) - [j659]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) - [c642]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 - [c641]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 - [c640]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 - [c639]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 - [c638]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 - [c637]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 - [c636]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 - [c635]Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao:
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) 2024: 10900-10913 - [c634]Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao:
Uncertainty Aware Learning for Language Model Alignment. ACL (1) 2024: 11087-11099 - [c633]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 - [c632]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 - [c631]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 - [c630]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 - [c629]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 - [c628]Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao:
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis. CVPR 2024: 5418-5427 - [c627]Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao:
Sheared Backpropagation for Fine-Tuning Foundation Models. CVPR 2024: 5883-5892 - [c626]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 - [c625]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 - [c624]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
Free: Faster and Better Data-Free Meta-Learning. CVPR 2024: 23273-23282 - [c623]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 - [c622]Qu Yang, Mang Ye, Dacheng Tao:
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP. ECCV (11) 2024: 144-160 - [c621]Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao:
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. ECCV (15) 2024: 247-265 - [c620]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 - [c619]Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao:
Revisiting Catastrophic Forgetting in Large Language Model Tuning. EMNLP (Findings) 2024: 4297-4308 - [c618]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 - [c617]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 - [c616]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 - [c615]Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao:
Convergence of Bayesian Bilevel Optimization. ICLR 2024 - [c614]Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao:
Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR 2024 - [c613]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 - [c612]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 - [c611]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c610]Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao:
Towards Theoretical Understandings of Self-Consuming Generative Models. ICML 2024 - [c609]Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. ICML 2024 - [c608]Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao:
Q-value Regularized Transformer for Offline Reinforcement Learning. ICML 2024 - [c607]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 - [c606]Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao:
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. ICML 2024 - [c605]Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao:
Generalization Analysis of Stochastic Weight Averaging with General Sampling. ICML 2024 - [c604]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 - [c603]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c602]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 - [c601]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 - [c600]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 - [c599]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 - [c598]Xikun Zhang, Dongjin Song, Yixin Chen, Dacheng Tao:
Topology-aware Embedding Memory for Continual Learning on Expanding Networks. KDD 2024: 4326-4337 - [c597]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 - [c596]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 - [c595]Ting Zhe, Jing Zhang, Yongqian Li, Yong Luo, Han Hu, Dacheng Tao:
Multi-Granularity Hand Action Detection. ACM Multimedia 2024: 5604-5613 - [c594]