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ORCIDShuicheng Yan
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- affiliation: National University of Singapore, Department of Electrical and Computer Engineering
- affiliation: University of Illinois, Department of Electrical and Computer Engineering
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2020 – today
- 2024
[j317]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. RLJ 2: 481-497 (2024)- [j316]Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu
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Instant3D: Instant Text-to-3D Generation. Int. J. Comput. Vis. 132(10): 4456-4472 (2024) - [j315]Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. J. Mach. Learn. Res. 25: 83:1-83:74 (2024) - [j314]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 896-912 (2024) - [j313]Xiangyu Xu, Lijuan Liu, Shuicheng Yan:
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3275-3289 (2024) - [j312]Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3406-3421 (2024) - [j311]Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan:
Towards Understanding Convergence and Generalization of AdamW. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6486-6493 (2024) - [j310]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7701-7719 (2024) - [j309]Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9508-9520 (2024) - [j308]Zhao Zhang, Huan Zheng, Richang Hong, Jicong Fan, Yi Yang, Shuicheng Yan:
FRC-Net: A Simple Yet Effective Architecture for Low-Light Image Enhancement. IEEE Trans. Consumer Electron. 70(1): 3332-3340 (2024) - [j307]Jiaming Chu, Lei Jin, Yinglei Teng, Jianshu Li, Yunchao Wei, Zheng Wang, Junliang Xing, Shuicheng Yan, Jian Zhao:
UniParser: Multi-Human Parsing With Unified Correlation Representation Learning. IEEE Trans. Image Process. 33: 5159-5171 (2024) - [j306]Lei Jin, Xiaojuan Wang, Xuecheng Nie, Wendong Wang, Yandong Guo, Shuicheng Yan, Jian Zhao:
Rethinking the Person Localization for Single-Stage Multi-Person Pose Estimation. IEEE Trans. Multim. 26: 1436-1447 (2024) - [j305]Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan:
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation. IEEE Trans. Multim. 26: 1681-1689 (2024) - [j304]Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5226-5240 (2024) - [j303]Feiping Nie, Hong Chen, Shiming Xiang, Changshui Zhang, Shuicheng Yan, Xuelong Li:
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5710-5720 (2024) - [j302]Yu Liu, Mingbo Zhao, Zhao Zhang, Yuping Liu, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Preservation and Tradeoff between Body and Clothing. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 123:1-123:23 (2024) - [c424]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CVPR 2024: 5672-5683 - [c423]Meng Wang, Yuyao Huang, Henghui Ding, Xinlong Wang, Tiejun Huang, Yao Zhao, Yunchao Wei, Shuicheng Yan:
Region-Native Visual Tokenization. ECCV (74) 2024: 19-36 - [c422]Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin:
BAFFLE: A Baseline of Backpropagation-Free Federated Learning. ECCV (75) 2024: 89-109 - [c421]Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li:
Improving Video Segmentation via Dynamic Anchor Queries. ECCV (50) 2024: 446-463 - [c420]Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan:
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. EMNLP (Findings) 2024: 11185-11208 - [c419]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. ICML 2024 - [c418]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. ICML 2024 - [c417]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. IJCAI 2024: 5298-5306 - [c416]Shaocong Long, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Chenhao Ying, Yuan Luo, Lizhuang Ma, Shuicheng Yan:
DGMamba: Domain Generalization via Generalized State Space Model. ACM Multimedia 2024: 3607-3616 - [c415]Zi Helen Huang, Phoebe Chen, Shuicheng Yan:
Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial Impact. ACM Multimedia 2024: 11123-11124 - [c414]Hao Fei, Xiangtai Li, Haotian Liu, Fuxiao Liu, Zhuosheng Zhang, Hanwang Zhang, Shuicheng Yan:
From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond. ACM Multimedia 2024: 11289-11291 - [i249]Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR abs/2401.02020 (2024) - [i248]Youcheng Huang, Wenqiang Lei, Zheng Zhang, Jiancheng Lv, Shuicheng Yan:
See the Unseen: Better Context-Consistent Knowledge-Editing by Noises. CoRR abs/2401.07544 (2024) - [i247]Jiahao Ying, Yixin Cao, Bo Wang, Wei Tang, Yizhe Yang, Shuicheng Yan:
Have Seen Me Before? Automating Dataset Updates Towards Reliable and Timely Evaluation. CoRR abs/2402.11894 (2024) - [i246]Tao Zhang, Xiangtai Li, Haobo Yuan, Shunping Ji, Shuicheng Yan:
Point Cloud Mamba: Point Cloud Learning via State Space Model. CoRR abs/2403.00762 (2024) - [i245]Wentao Jiang, Yige Zhang, Shaozhong Zheng, Si Liu, Shuicheng Yan:
Data Augmentation in Human-Centric Vision. CoRR abs/2403.08650 (2024) - [i244]Chaoyang Wang, Xiangtai Li, Henghui Ding, Lu Qi, Jiangning Zhang, Yunhai Tong, Chen Change Loy, Shuicheng Yan:
Explore In-Context Segmentation via Latent Diffusion Models. CoRR abs/2403.09616 (2024) - [i243]Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan:
AgentStudio: A Toolkit for Building General Virtual Agents. CoRR abs/2403.17918 (2024) - [i242]Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang:
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. CoRR abs/2403.18795 (2024) - [i241]Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li:
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries. CoRR abs/2404.00086 (2024) - [i240]Shaocong Long, Qianyu Zhou, Xiangtai Li, Xuequan Lu, Chenhao Ying, Yuan Luo, Lizhuang Ma, Shuicheng Yan:
DGMamba: Domain Generalization via Generalized State Space Model. CoRR abs/2404.07794 (2024) - [i239]Xiangyu Xu, Lijuan Liu, Shuicheng Yan:
SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation. CoRR abs/2404.15276 (2024) - [i238]Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR abs/2405.01926 (2024) - [i237]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR abs/2405.06914 (2024) - [i236]Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR abs/2405.14785 (2024) - [i235]Kuan-Chih Huang, Xiangtai Li, Lu Qi, Shuicheng Yan, Ming-Hsuan Yang:
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model. CoRR abs/2405.17427 (2024) - [i234]Liang Zhao, Tianwen Wei, Liang Zeng, Cheng Cheng, Liu Yang, Peng Cheng, Lijie Wang, Chenxia Li, Xuejie Wu, Bo Zhu, Yimeng Gan, Rui Hu, Shuicheng Yan, Han Fang, Yahui Zhou:
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models. CoRR abs/2406.00605 (2024) - [i233]Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR abs/2406.05127 (2024) - [i232]Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang:
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR abs/2406.06367 (2024) - [i231]Tianwen Wei, Bo Zhu, Liang Zhao, Cheng Cheng, Biye Li, Weiwei Lü, Peng Cheng, Jianhao Zhang, Xiaoyu Zhang, Liang Zeng, Xiaokun Wang, Yutuan Ma, Rui Hu, Shuicheng Yan, Han Fang, Yahui Zhou:
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models. CoRR abs/2406.06563 (2024) - [i230]Chaojie Wang, Yanchen Deng, Zhiyi Lv, Zeng Liang, Jujie He, Shuicheng Yan, Bo An:
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. CoRR abs/2406.14283 (2024) - [i229]Wenhao Li, Mingbao Lin, Yunshan Zhong, Shuicheng Yan, Rongrong Ji:
UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs. CoRR abs/2406.18173 (2024) - [i228]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR abs/2406.19255 (2024) - [i227]Haobo Yuan, Xiangtai Li, Lu Qi, Tao Zhang, Ming-Hsuan Yang, Shuicheng Yan, Chen Change Loy:
Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model. CoRR abs/2406.19369 (2024) - [i226]Tao Zhang, Xiangtai Li, Hao Fei, Haobo Yuan, Shengqiong Wu, Shunping Ji, Chen Change Loy, Shuicheng Yan:
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding. CoRR abs/2406.19389 (2024) - [i225]Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan:
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. CoRR abs/2407.00497 (2024) - [i224]Liang Zeng, Liangjun Zhong, Liang Zhao, Tianwen Wei, Liu Yang, Jujie He, Cheng Cheng, Rui Hu, Yang Liu, Shuicheng Yan, Han Fang, Yahui Zhou:
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models - The Story Goes On. CoRR abs/2407.08348 (2024) - [i223]Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji:
EasyInv: Toward Fast and Better DDIM Inversion. CoRR abs/2408.05159 (2024) - [i222]Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Fengqi Liu, Xuequan Lu, Lizhuang Ma, Shuicheng Yan:
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model. CoRR abs/2408.13574 (2024) - [i221]Xingyu Xie, Kuangyu Ding, Shuicheng Yan, Kim-Chuan Toh, Tianwen Wei:
Optimization Hyper-parameter Laws for Large Language Models. CoRR abs/2409.04777 (2024) - [i220]Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan:
MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts. CoRR abs/2410.07348 (2024) - [i219]Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan:
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting. CoRR abs/2410.08190 (2024) - [i218]Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan:
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis. CoRR abs/2410.08261 (2024) - [i217]Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan:
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR abs/2410.09008 (2024) - [i216]Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan:
MoH: Multi-Head Attention as Mixture-of-Head Attention. CoRR abs/2410.11842 (2024) - [i215]Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang:
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes. CoRR abs/2410.13613 (2024) - [i214]Chris Yuhao Liu, Liang Zeng, Jiacai Liu, Rui Yan, Jujie He, Chaojie Wang, Shuicheng Yan, Yang Liu, Yahui Zhou:
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs. CoRR abs/2410.18451 (2024) - [i213]Wei Han, Pan Zhou, Soujanya Poria, Shuicheng Yan:
Two are better than one: Context window extension with multi-grained self-injection. CoRR abs/2410.19318 (2024) - [i212]Quanjian Song, Mingbao Lin, Wengyi Zhan, Shuicheng Yan, Liujuan Cao:
UniVST: A Unified Framework for Training-free Localized Video Style Transfer. CoRR abs/2410.20084 (2024) - 2023
- [j301]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023) - [j300]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6575-6586 (2023) - [j299]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j298]Shiming Chen, Ziming Hong, Wenjin Hou, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao:
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12844-12861 (2023) - [j297]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023) - [j296]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13553-13566 (2023) - [j295]Zhao Zhang, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Data-Driven single image deraining: A Comprehensive review and new perspectives. Pattern Recognit. 143: 109740 (2023) - [j294]Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. IEEE Trans. Multim. 25: 2323-2338 (2023) - [j293]Lijuan Liu, Xiangyu Xu, Zhijie Lin, Jiabin Liang, Shuicheng Yan:
Towards Garment Sewing Pattern Reconstruction from a Single Image. ACM Trans. Graph. 42(6): 200:1-200:15 (2023) - [c413]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c412]Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung:
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CVPR 2023: 7380-7391 - [c411]Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-Guided Text Prompt for Vision-Language Pre-Training. CVPR 2023: 23242-23251 - [c410]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Li Jian, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. EMNLP 2023: 14836-14854 - [c409]Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan:
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. ICCV 2023: 5083-5092 - [c408]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV 2023: 23107-23116 - [c407]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. ICDAR (2) 2023: 536-552 - [c406]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c405]Yi Ren, Chen Zhang, Shuicheng Yan:
Bag of Tricks for Unsupervised Text-to-Speech. ICLR 2023 - [c404]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. ICLR 2023 - [c403]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023 - [c402]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. ICLR 2023 - [c401]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. ICLR 2023 - [c400]Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. ICLR 2023 - [c399]Jiachun Pan, Pan Zhou, Shuicheng Yan:
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks. ICLR 2023 - [c398]Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR 2023 - [c397]Haiyan Yin, Shuicheng Yan, Zhongwen Xu:
Distributional Meta-Gradient Reinforcement Learning. ICLR 2023 - [c396]Pan Zhou, Xingyu Xie, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. ICLR 2023 - [c395]Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer: When Spiking Neural Network Meets Transformer. ICLR 2023 - [c394]Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin:
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. ICML 2023: 8565-8584 - [c393]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. ICML 2023: 36246-36263 - [c392]Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan:
Bag of Tricks for Training Data Extraction from Language Models. ICML 2023: 40306-40320 - [c391]Tiancheng Cao, Weihao Yu, Yuan Gao, Chen Liu, Shuicheng Yan, Wang Ling Goh:
RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications. ISCAS 2023: 1-5 - [c390]Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan:
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. ACM Multimedia 2023: 1374-1382 - [c389]Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in the Dark. ACM Multimedia 2023: 1475-1484 - [c388]Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia 2023: 9414-9416 - [c387]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS 2023 - [c386]Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li:
Gaussian Mixture Solvers for Diffusion Models. NeurIPS 2023 - [c385]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS 2023 - [c384]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS 2023 - [c383]Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng:
On Calibrating Diffusion Probabilistic Models. NeurIPS 2023 - [i211]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023) - [i210]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. CoRR abs/2301.11774 (2023) - [i209]Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin:
Does Federated Learning Really Need Backpropagation? CoRR abs/2301.12195 (2023) - [i208]