Pan Zhou - RankMe

142 papers A* 41A 3Journal 89Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SEMat: Semantic Enhanced Natural Image Interactive Matting. IEEE Trans. Circuits Syst. Video Technol. Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
2026	J	`jnl`	Stacked from One: Multi-Scale Self-Injection for Context Window Extension. CoRR Wei Han, Pan Zhou, Shuicheng Yan
2026	J	`jnl`	Towards Uniformity and Alignment for Multimodal Representation Learning. CoRR Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin
2025	J	`jnl`	A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. CoRR Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin
2025	J	`jnl`	Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding. CoRR Shijing Hu, Jingyang Li, Zhihui Lu, Pan Zhou
2025	A*	`conf`	CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. ICLR Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025	A*	`conf`	Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration. CVPR Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou
2025	J	`jnl`	Conda: Column-Normalized Adam for Training Large Language Models Faster. CoRR Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin
2025	J	`jnl`	Correction: Instant3D: Instant Text-to-3D Generation. Int. J. Comput. Vis. Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu
2025	J	`jnl`	Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. CoRR Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	GRIFFIN: Effective Token Alignment for Faster Speculative Decoding. CoRR Shijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-Chuan Toh, Pan Zhou
2025	J	`jnl`	LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou
2025	A*	`conf`	Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. ICML Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. CoRR Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. CoRR Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves
2025	J	`jnl`	Towards Scalable and Consistent 3D Editing. CoRR Ruihao Xia, Yang Tang, Pan Zhou
2025	J	`jnl`	Towards Understanding Why Data Augmentation Improves Generalization. CoRR Jingyang Li, Jiachun Pan, Kim-Chuan Toh, Pan Zhou
2025	A*	`conf`	Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning. ICLR Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou
2024	A*	`conf`	4-bit Shampoo for Memory-Efficient Network Training. NeurIPS Sike Wang, Pan Zhou, Jia Li, Hua Huang
2024	J	`jnl`	4-bit Shampoo for Memory-Efficient Network Training. CoRR Sike Wang, Jia Li, Pan Zhou, Hua Huang
2024	J	`jnl`	Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan
2024	J	`jnl`	CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. CoRR Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2024	A*	`conf`	Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CVPR Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang
2024	J	`jnl`	Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CoRR Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang
2024	J	`jnl`	Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents. CoRR Zhiguang Wu, Fengbin Zhu, Xuequn Shang, Yupei Zhang, Pan Zhou
2024	A*	`conf`	Diffusion Time-step Curriculum for One Image to 3D Generation. CVPR Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang
2024	J	`jnl`	Diffusion Time-step Curriculum for One Image to 3D Generation. CoRR Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang
2024	J	`jnl`	Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector. CoRR Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua
2024	—	`conf`	Efficient Cascaded Multiscale Adaptive Network for Image Restoration. ECCV (19) Yichen Zhou, Pan Zhou, Teck Khim Ng
2024	J	`jnl`	Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts. IEEE Trans. Pattern Anal. Mach. Intell. Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan
2024	A*	`conf`	Few-Shot Learner Parameterization by Diffusion Time-Steps. CVPR Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun
2024	J	`jnl`	Few-shot Learner Parameterization by Diffusion Time-steps. CoRR Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun
2024	A*	`conf`	Friendly Sharpness-Aware Minimization. CVPR Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024	J	`jnl`	Friendly Sharpness-Aware Minimization. CoRR Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024	—	`conf`	GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator. ECCV (23) Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
2024	J	`jnl`	Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. CoRR Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang
2024	J	`jnl`	Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models. CoRR Chengzhe Feng, Yanan Sun, Ke Li, Pan Zhou, Jiancheng Lv, Aojun Lu
2024	A*	`conf`	InceptionNeXt: When Inception Meets ConvNeXt. CVPR Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
2024	J	`jnl`	Instant3D: Instant Text-to-3D Generation. Int. J. Comput. Vis. Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu
2024	J	`jnl`	Iterative Graph Self-Distillation. IEEE Trans. Knowl. Data Eng. Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
2024	A*	`conf`	LOVA3: Learning to Visual Question Answering, Asking and Assessment. NeurIPS Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Zechen Bai, Mike Zheng Shou
2024	J	`jnl`	LOVA3: Learning to Visual Question Answering, Asking and Assessment. CoRR Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Mike Zheng Shou
2024	J	`jnl`	LPT++: Efficient Training on Mixture of Long-tailed Experts. CoRR Bowen Dong, Pan Zhou, Wangmeng Zuo
2024	A*	`conf`	Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CVPR Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
2024	J	`jnl`	LoCo: Low-Bit Communication Adaptor for Large-scale Model Training. CoRR Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou
2024	A*	`conf`	MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. NeurIPS Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
2024	J	`jnl`	MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
2024	J	`jnl`	Memory-Efficient 4-bit Preconditioned Stochastic Optimization. CoRR Jingyang Li, Kuangyu Ding, Kim-Chuan Toh, Pan Zhou
2024	J	`jnl`	MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
2024	—	`conf`	MoExtend: Tuning New Experts for Modality and Task Extension. ACL (Student Research Workshop) Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou
2024	J	`jnl`	MoExtend: Tuning New Experts for Modality and Task Extension. CoRR Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou
2024	J	`jnl`	Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang
2024	J	`jnl`	SubZero: Random Subspace Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning. CoRR Ziming Yu, Pan Zhou, Sike Wang, Jia Li, Hua Huang
2024	J	`jnl`	Towards Natural Image Matting in the Wild via Real-Scenario Prior. CoRR Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
2024	J	`jnl`	Towards Understanding Convergence and Generalization of AdamW. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan
2024	J	`jnl`	Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning. CoRR Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou
2024	J	`jnl`	Two are better than one: Context window extension with multi-grained self-injection. CoRR Wei Han, Pan Zhou, Soujanya Poria, Shuicheng Yan
2024	A*	`conf`	Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. NeurIPS Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
2024	J	`jnl`	Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. CoRR Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
2024	J	`jnl`	Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. J. Mach. Learn. Res. Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan
2023	J	`jnl`	Contrastive Video Question Answering via Video Graph Transformer. CoRR Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua
2023	J	`jnl`	Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua
2023	A*	`conf`	EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023	J	`jnl`	Fast Diffusion Model. CoRR Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
2023	J	`jnl`	Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator. CoRR Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou
2023	J	`jnl`	InceptionNeXt: When Inception Meets ConvNeXt. CoRR Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
2023	J	`jnl`	Instant3D: Instant Text-to-3D Generation. CoRR Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu
2023	A*	`conf`	LPT: Long-tailed Prompt Tuning for Image Classification. ICLR Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
2023	J	`jnl`	Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CoRR Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
2023	A*	`conf`	Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023	J	`jnl`	Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2023	A*	`conf`	Position-Guided Text Prompt for Vision-Language Pre-Training. CVPR Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan
2023	A*	`conf`	STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. ICCV Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan
2023	A*	`conf`	ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin
2023	J	`jnl`	ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. CoRR Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin
2023	A*	`conf`	Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks. ICLR Jiachun Pan, Pan Zhou, Shuicheng Yan
2023	A*	`conf`	Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. ICLR Pan Zhou, Xingyu Xie, Shuicheng Yan
2022	J	`jnl`	A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi
2022	J	`jnl`	Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. CoRR Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan
2022	—	`conf`	DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. ECCV (34) Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
2022	J	`jnl`	Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong
2022	A*	`conf`	Inception Transformer. NeurIPS Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
2022	J	`jnl`	Inception Transformer. CoRR Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
2022	J	`jnl`	LPT: Long-tailed Prompt Tuning for Image Classification. CoRR Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
2022	J	`jnl`	MetaFormer Baselines for Vision. CoRR Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
2022	A*	`conf`	MetaFormer is Actually What You Need for Vision. CVPR Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
2022	J	`jnl`	Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan
2022	J	`jnl`	Position-guided Text Prompt for Vision-Language Pre-training. CoRR Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan
2022	—	`conf`	Self-Promoted Supervision for Few-Shot Transformer. ECCV (20) Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
2022	J	`jnl`	Self-Promoted Supervision for Few-Shot Transformer. CoRR Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
2022	—	`conf`	Towards Class Interpretable Vision Transformer with Multi-Class-Tokens. PRCV (3) Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo
2022	J	`jnl`	Towards Sustainable Self-supervised Learning. CoRR Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
2022	—	`conf`	Video Graph Transformer for Video Question Answering. ECCV (36) Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan
2022	J	`jnl`	Video Graph Transformer for Video Question Answering. CoRR Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan
2021	A*	`conf`	A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi
2021	J	`jnl`	A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi
2021	A*	`conf`	Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin
2021	J	`jnl`	DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. CoRR Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan
2021	J	`jnl`	Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng
2021	A*	`conf`	Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
2021	A*	`conf`	How Important is the Train-Validation Split in Meta-Learning? ICML Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong
2021	J	`jnl`	MetaFormer is Actually What You Need for Vision. CoRR Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
2021	A*	`conf`	Prototypical Contrastive Learning of Unsupervised Representations. ICLR Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi
2021	J	`jnl`	Prototypical Graph Contrastive Learning. CoRR Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang
2021	A	`conf`	Task similarity aware meta learning: theory-inspired improvement on MAML. UAI Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi
2021	J	`jnl`	Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
2021	A*	`conf`	Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
2021	—	`conf`	Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. EMNLP (Findings) Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin
2021	J	`jnl`	Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin
2020	J	`jnl`	Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. CoRR Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin
2020	J	`jnl`	Data Augmentation Imbalance For Imbalanced Attribute Classification. CoRR Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen
2020	J	`jnl`	Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin
2020	J	`jnl`	How Important is the Train-Validation Split in Meta-Learning? CoRR Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong
2020	A*	`conf`	Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. ICML Pan Zhou, Xiao-Tong Yuan
2020	J	`jnl`	Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. CoRR Pan Zhou, Xiaotong Yuan
2020	A*	`conf`	Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. NeurIPS Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
2020	J	`jnl`	Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. CoRR Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
2020	J	`jnl`	Iterative Graph Self-Distillation. CoRR Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
2020	J	`jnl`	Prototypical Contrastive Learning of Unsupervised Representations. CoRR Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	A*	`conf`	Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi
2020	J	`jnl`	Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi
2020	J	`jnl`	Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E
2020	A*	`conf`	Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E
2019	A*	`conf`	Efficient Meta Learning via Minibatch Proximal Update. NeurIPS Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
2019	J	`jnl`	Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms. CoRR Canyi Lu, Pan Zhou
2019	A	`conf`	Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. AISTATS Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
2019	A*	`conf`	Generalized Majorization-Minimization for Non-Convex Optimization. IJCAI Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng
2019	A	`conf`	Task Relation Networks. WACV Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim
2018	A*	`conf`	Deep Adversarial Subspace Clustering. CVPR Pan Zhou, Yunqing Hou, Jiashi Feng
2018	J	`jnl`	Dictionary learning with structured noise. Neurocomputing Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang
2018	A*	`conf`	Efficient Stochastic Gradient Hard Thresholding. NeurIPS Pan Zhou, Xiaotong Yuan, Jiashi Feng
2018	—	`conf`	Empirical Risk Landscape Analysis for Understanding Deep Neural Networks. ICLR (Poster) Pan Zhou, Jiashi Feng
2018	A*	`conf`	New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS Pan Zhou, Xiaotong Yuan, Jiashi Feng
2018	J	`jnl`	Tensor Factorization for Low-Rank Tensor Completion. IEEE Trans. Image Process. Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang
2018	A*	`conf`	Understanding Generalization and Optimization Performance of Deep CNNs. ICML Pan Zhou, Jiashi Feng
2018	J	`jnl`	Understanding Generalization and Optimization Performance of Deep CNNs. CoRR Pan Zhou, Jiashi Feng
2017	J	`jnl`	Bilevel Model-Based Discriminative Dictionary Learning for Recognition. IEEE Trans. Image Process. Pan Zhou, Chao Zhang, Zhouchen Lin
2017	J	`jnl`	Feature learning via partial differential equation with applications to face recognition. Pattern Recognit. Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin
2017	A*	`conf`	Outlier-Robust Tensor PCA. CVPR Pan Zhou, Jiashi Feng
2017	J	`jnl`	The Landscape of Deep Learning Algorithms. CoRR Pan Zhou, Jiashi Feng
2016	J	`jnl`	Integrated Low-Rank-Based Discriminative Feature Learning for Recognition. IEEE Trans. Neural Networks Learn. Syst. Pan Zhou, Zhouchen Lin, Chao Zhang