Integrated Low-Rank-Based Discriminative Feature Learning for Recognition. - Pan Zhou 002; Zhouchen Lin; Chao Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Outlier-Robust Tensor PCA. - Pan Zhou 002; Jiashi Feng (CVPR, 2017)

The Landscape of Deep Learning Algorithms. - Pan Zhou 002; Jiashi Feng (CoRR, 2017)

Feature learning via partial differential equation with applications to face recognition. - Cong Fang 001; Zhenyu Zhao; Pan Zhou 002; Zhouchen Lin (Pattern Recognit., 2017)

Bilevel Model-Based Discriminative Dictionary Learning for Recognition. - Pan Zhou 002; Chao Zhang 001; Zhouchen Lin (IEEE Trans. Image Process., 2017)

Deep Adversarial Subspace Clustering. - Pan Zhou 002; Yunqing Hou; Jiashi Feng (CVPR, 2018)

Empirical Risk Landscape Analysis for Understanding Deep Neural Networks. - Pan Zhou 002; Jiashi Feng (ICLR (Poster), 2018)

Understanding Generalization and Optimization Performance of Deep CNNs. - Pan Zhou 002; Jiashi Feng (ICML, 2018)

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. - Pan Zhou 002; Xiaotong Yuan; Jiashi Feng (NeurIPS, 2018)

Efficient Stochastic Gradient Hard Thresholding. - Pan Zhou 002; Xiaotong Yuan; Jiashi Feng (NeurIPS, 2018)

Dictionary learning with structured noise. - Pan Zhou 002; Cong Fang 001; Zhouchen Lin; Chao Zhang 001; Edward Y. Chang (Neurocomputing, 2018)

Tensor Factorization for Low-Rank Tensor Completion. - Pan Zhou 002; Canyi Lu; Zhouchen Lin; Chao Zhang 001 (IEEE Trans. Image Process., 2018)

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. - Pan Zhou 002; Xiao-Tong Yuan; Jiashi Feng (AISTATS, 2019)

Generalized Majorization-Minimization for Non-Convex Optimization. - Hu Zhang 005; Pan Zhou 002; Yi Yang 001; Jiashi Feng (IJCAI, 2019)

Efficient Meta Learning via Minibatch Proximal Update. - Pan Zhou 002; Xiaotong Yuan; Huan Xu 001; Shuicheng Yan; Jiashi Feng (NeurIPS, 2019)

Task Relation Networks. - Jianshu Li; Pan Zhou 002; Yunpeng Chen; Jian Zhao 006; Sujoy Roy; Shuicheng Yan; Jiashi Feng; Terence Sim (WACV, 2019)

Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms. - Canyi Lu; Pan Zhou 002 (CoRR, 2019)

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. - Pan Zhou 002; Xiao-Tong Yuan (ICML, 2020)

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. - Yue Wu; Pan Zhou 002; Andrew Gordon Wilson; Eric P. Xing; Zhiting Hu (NeurIPS, 2020)

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. - Pan Zhou 002; Jiashi Feng; Chao Ma 012; Caiming Xiong; Steven Chu-Hong Hoi; Weinan E (NeurIPS, 2020)

Theory-Inspired Path-Regularized Differential Network Architecture Search. - Pan Zhou 002; Caiming Xiong; Richard Socher; Steven Chu-Hong Hoi (NeurIPS, 2020)

Data Augmentation Imbalance For Imbalanced Attribute Classification. - Xiaying Bai; Yang Hu; Pan Zhou 002; Fanhua Shang; Shengmei Shen (CoRR, 2020)

Prototypical Contrastive Learning of Unsupervised Representations. - Junnan Li 001; Pan Zhou 002; Caiming Xiong; Richard Socher; Steven C. H. Hoi (CoRR, 2020)

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. - Shuai Lin; Pan Zhou 002; Xiaodan Liang; Jianheng Tang; Ruihui Zhao; Ziliang Chen 001; Liang Lin (AAAI, 2021)

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. - Yubei Xiao; Ke Gong; Pan Zhou 002; Guolin Zheng; Xiaodan Liang; Liang Lin (AAAI, 2021)

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. - Guolin Zheng; Yubei Xiao; Ke Gong; Pan Zhou 002; Xiaodan Liang; Liang Lin (EMNLP (Findings), 2021)

Prototypical Contrastive Learning of Unsupervised Representations. - Junnan Li 001; Pan Zhou 002; Caiming Xiong; Steven C. H. Hoi (ICLR, 2021)

How Important is the Train-Validation Split in Meta-Learning? - Yu Bai 017; Minshuo Chen; Pan Zhou 002; Tuo Zhao; Jason D. Lee; Sham M. Kakade; Huan Wang 014; Caiming Xiong (ICML, 2021)

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. - Pan Zhou 002; Caiming Xiong; Xiaotong Yuan; Steven Chu-Hong Hoi (NeurIPS, 2021)

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. - Pan Zhou 002; Hanshu Yan; Xiaotong Yuan; Jiashi Feng; Shuicheng Yan (NeurIPS, 2021)

Task similarity aware meta learning: theory-inspired improvement on MAML. - Pan Zhou 002; Yingtian Zou; Xiao-Tong Yuan; Jiashi Feng; Caiming Xiong; Steven C. H. Hoi (UAI, 2021)

Prototypical Graph Contrastive Learning. - Shuai Lin; Pan Zhou 002; Zi-Yuan Hu; Shuojia Wang; Ruihui Zhao; Yefeng Zheng 001; Liang Lin; Eric P. Xing; Xiaodan Liang (CoRR, 2021)

Tensor Low-Rank Representation for Data Recovery and Clustering. - Pan Zhou 002; Canyi Lu; Jiashi Feng; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. - Pan Zhou 002; Xiao-Tong Yuan; Shuicheng Yan; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

MetaFormer is Actually What You Need for Vision. - Weihao Yu 001; Mi Luo; Pan Zhou 002; Chenyang Si; Yichen Zhou; Xinchao Wang; Jiashi Feng; Shuicheng Yan (CVPR, 2022)

Self-Promoted Supervision for Few-Shot Transformer. - Bowen Dong; Pan Zhou 002; Shuicheng Yan; Wangmeng Zuo (ECCV (20), 2022)

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. - Yuxuan Liang; Pan Zhou 002; Roger Zimmermann; Shuicheng Yan (ECCV (34), 2022)

Video Graph Transformer for Video Question Answering. - Junbin Xiao; Pan Zhou 002; Tat-Seng Chua; Shuicheng Yan (ECCV (36), 2022)

Inception Transformer. - Chenyang Si; Weihao Yu 001; Pan Zhou 002; Yichen Zhou; Xinchao Wang; Shuicheng Yan (NeurIPS, 2022)

Towards Class Interpretable Vision Transformer with Multi-Class-Tokens. - Bowen Dong; Pan Zhou 002; Shuicheng Yan; Wangmeng Zuo (PRCV (3), 2022)

Mugs: A Multi-Granular Self-Supervised Learning Framework. - Pan Zhou 002; Yichen Zhou; Chenyang Si; Weihao Yu 001; Teck Khim Ng; Shuicheng Yan (CoRR, 2022)

Towards Sustainable Self-supervised Learning. - Shanghua Gao; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (CoRR, 2022)

Position-guided Text Prompt for Vision-Language Pre-training. - Alex Jinpeng Wang; Pan Zhou 002; Mike Zheng Shou; Shuicheng Yan (CoRR, 2022)

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. - Pan Zhou 002; Xiao-Tong Yuan; Zhouchen Lin; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. - Fanhua Shang; Bingkun Wei; Hongying Liu 001; Yuanyuan Liu 001; Pan Zhou 002; Maoguo Gong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Position-Guided Text Prompt for Vision-Language Pre-Training. - Jinpeng Wang 001; Pan Zhou 002; Mike Zheng Shou; Shuicheng Yan (CVPR, 2023)

Masked Diffusion Transformer is a Strong Image Synthesizer. - Shanghua Gao; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (ICCV, 2023)

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. - Ming Li 073; Xiangyu Xu 002; Hehe Fan; Pan Zhou 002; Jun Liu 036; Jia-Wei Liu; Jiahe Li 009; Jussi Keppo; Mike Zheng Shou; Shuicheng Yan (ICCV, 2023)

LPT: Long-tailed Prompt Tuning for Image Classification. - Bowen Dong; Pan Zhou 002; Shuicheng Yan; Wangmeng Zuo (ICLR, 2023)

Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks. - Jiachun Pan; Pan Zhou 002; Shuicheng Yan (ICLR, 2023)

Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. - Pan Zhou 002; Xingyu Xie; Shuicheng Yan (ICLR, 2023)

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. - Shanghua Gao; Zhijie Lin 001; Xingyu Xie; Pan Zhou 002; Ming-Ming Cheng; Shuicheng Yan (ACM Multimedia, 2023)

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. - Zhongzhan Huang; Pan Zhou 002; Shuicheng Yan; Liang Lin (NeurIPS, 2023)

Fast Diffusion Model. - Zike Wu; Pan Zhou 002; Kenji Kawaguchi; Hanwang Zhang (CoRR, 2023)

Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator. - Henry Hengyuan Zhao; Pan Zhou 002; Mike Zheng Shou (CoRR, 2023)

Contrastive Video Question Answering via Video Graph Transformer. - Junbin Xiao; Pan Zhou 002; Angela Yao; Yicong Li 004; Richang Hong; Shuicheng Yan; Tat-Seng Chua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MoExtend: Tuning New Experts for Modality and Task Extension. - Shanshan Zhong; Shanghua Gao; Zhongzhan Huang; Wushao Wen; Marinka Zitnik; Pan Zhou 002 (ACL (Student Research Workshop), 2024)

Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. - Zike Wu; Pan Zhou 002; Xuanyu Yi; Xiaoding Yuan; Hanwang Zhang (CVPR, 2024)

Diffusion Time-step Curriculum for One Image to 3D Generation. - Xuanyu Yi; Zike Wu; Qingshan Xu 001; Pan Zhou 002; Joo-Hwee Lim; Hanwang Zhang (CVPR, 2024)

InceptionNeXt: When Inception Meets ConvNeXt. - Weihao Yu 001; Pan Zhou 002; Shuicheng Yan; Xinchao Wang (CVPR, 2024)

Few-Shot Learner Parameterization by Diffusion Time-Steps. - Zhongqi Yue; Pan Zhou 002; Richang Hong; Hanwang Zhang; Qianru Sun (CVPR, 2024)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. - Shanshan Zhong; Zhongzhan Huang; Shanghua Gao; Wushao Wen; Liang Lin; Marinka Zitnik; Pan Zhou 002 (CVPR, 2024)

GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator. - Henry Hengyuan Zhao; Pan Zhou 002; Mike Zheng Shou (ECCV (23), 2024)

Efficient Cascaded Multiscale Adaptive Network for Image Restoration. - Yichen Zhou; Pan Zhou 002; Teck Khim Ng (ECCV (19), 2024)

4-bit Shampoo for Memory-Efficient Network Training. - Sike Wang; Pan Zhou 002; Jia Li; Hua Huang (NeurIPS, 2024)

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. - Ruihao Xia; Yu Liang; Peng-Tao Jiang; Hao Zhang; Bo Li 130; Yang Tang; Pan Zhou 002 (NeurIPS, 2024)

MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. - Xuanyu Yi; Zike Wu; Qiuhong Shen; Qingshan Xu 001; Pan Zhou 002; Joo-Hwee Lim; Shuicheng Yan; Xinchao Wang; Hanwang Zhang (NeurIPS, 2024)

LOVA3: Learning to Visual Question Answering, Asking and Assessment. - Henry Hengyuan Zhao; Pan Zhou 002; Difei Gao; Zechen Bai; Mike Zheng Shou (NeurIPS, 2024)

Friendly Sharpness-Aware Minimization. - Tao Li; Pan Zhou 002; Zhengbao He; Xinwen Cheng; Xiaolin Huang (CoRR, 2024)

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. - Qiuhong Shen; Xuanyu Yi; Zike Wu; Pan Zhou 002; Hanwang Zhang; Shuicheng Yan; Xinchao Wang (CoRR, 2024)

LOVA3: Learning to Visual Question Answering, Asking and Assessment. - Henry Hengyuan Zhao; Pan Zhou 002; Difei Gao; Mike Zheng Shou (CoRR, 2024)

LPT++: Efficient Training on Mixture of Long-tailed Experts. - Bowen Dong; Pan Zhou 002; Wangmeng Zuo (CoRR, 2024)

Towards Natural Image Matting in the Wild via Real-Scenario Prior. - Ruihao Xia; Yu Liang; Peng-Tao Jiang; Hao Zhang; Qianru Sun; Yang Tang; Bo Li 130; Pan Zhou 002 (CoRR, 2024)

SubZero: Random Subspace Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning. - Ziming Yu; Pan Zhou 002; Sike Wang; Jia Li; Hua Huang (CoRR, 2024)

Two are better than one: Context window extension with multi-grained self-injection. - Wei Han 002; Pan Zhou 002; Soujanya Poria; Shuicheng Yan (CoRR, 2024)

Memory-Efficient 4-bit Preconditioned Stochastic Optimization. - Jingyang Li; Kuangyu Ding; Kim-Chuan Toh; Pan Zhou 002 (CoRR, 2024)

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. - Pan Zhou 002; Xingyu Xie; Zhouchen Lin; Kim-Chuan Toh; Shuicheng Yan (J. Mach. Learn. Res., 2024)

MetaFormer Baselines for Vision. - Weihao Yu 001; Chenyang Si; Pan Zhou 002; Mi Luo; Yichen Zhou; Jiashi Feng; Shuicheng Yan; Xinchao Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Prototypical Graph Contrastive Learning. - Shuai Lin; Chen Liu; Pan Zhou 002; Zi-Yuan Hu; Shuojia Wang; Ruihui Zhao; Yefeng Zheng 001; Liang Lin; Eric P. Xing; Xiaodan Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Iterative Graph Self-Distillation. - Hanlin Zhang 002; Shuai Lin; Weiyang Liu; Pan Zhou 002; Jian Tang 005; Xiaodan Liang; Eric P. Xing (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts. - Alex Jinpeng Wang; Pan Zhou 002; Mike Zheng Shou; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Understanding Convergence and Generalization of AdamW. - Pan Zhou 002; Xingyu Xie; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Instant3D: Instant Text-to-3D Generation. - Ming Li 073; Pan Zhou 002; Jia-Wei Liu; Jussi Keppo; Min Lin; Shuicheng Yan; Xiangyu Xu 002 (Int. J. Comput. Vis., 2024)

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. - Xingyu Xie; Pan Zhou 002; Huan Li 007; Zhouchen Lin; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning. - Jingyang Li; Jiachun Pan; Vincent Y. F. Tan; Kim-Chuan Toh; Pan Zhou 002 (ICLR, 2025)

Correction: Instant3D: Instant Text-to-3D Generation. - Ming Li 073; Pan Zhou 002; Jia-Wei Liu; Jussi Keppo; Min Lin; Shuicheng Yan; Xiangyu Xu 002 (Int. J. Comput. Vis., 2025)

Towards Understanding Why Data Augmentation Improves Generalization. - Jingyang Li; Jiachun Pan; Kim-Chuan Toh; Pan Zhou 002 (CoRR, 2025)

GRIFFIN: Effective Token Alignment for Faster Speculative Decoding. - Shijing Hu; Jingyang Li; Xingyu Xie; Zhihui Lu 005; Kim-Chuan Toh; Pan Zhou 002 (CoRR, 2025)

A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. - Zhongzhan Huang; Shanshan Zhong; Pan Zhou 002; Shanghua Gao; Marinka Zitnik; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training. - Xingyu Xie; Zhijie Lin 001; Kim-Chuan Toh; Pan Zhou 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)