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ORCIDPan Zhou 0002
Person information
- affiliation: Singapore Management University, School of Computing and Information Systems, Singapore
- affiliation (PhD 2019): National University of Singapore, Learning & Vision Lab, Singapore
- affiliation (until 2016): Peking University, School of Electrical Engineering and Computer Science, Key Laboratory of Machine Perception, Beijing, China
Other persons with the same name
- Pan Zhou — disambiguation page
- Pan Zhou 0001
![[0000-0002-8629-4622]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8629-4622")
— Huazhong University of Science and Technology, School of Cyber Science and Engineering, Hubei Engineering Research Center on Big Data Security, Wuhan, China (and 3 more) - Pan Zhou 0003 — Southwest Minzu University, College of Computer Science and Artificial Intelligence, Chengdu, China (and 1 more)
- Pan Zhou 0004 — Jiangsu Automation Research Institute, Lianyungang, China
- Pan Zhou 0005 — North China Electric Power University, Department of Electrical and Electronic Engineering, Beijing, China
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2020 – today
- 2025
[j21]Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu:
Correction: Instant3D: Instant Text-to-3D Generation. Int. J. Comput. Vis. 133(1): 509 (2025)- [j20]Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin:
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 3830-3846 (2025) - [j19]Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou:
LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4285-4298 (2025) - [c53]Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou:
Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration. CVPR 2025: 29513-29522 - [c52]Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou:
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning. ICLR 2025 - [c51]Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. ICLR 2025 - [c50]Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. ICML 2025 - [i62]Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin:
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. CoRR abs/2501.15147 (2025) - [i61]Jingyang Li, Jiachun Pan, Kim-Chuan Toh, Pan Zhou:
Towards Understanding Why Data Augmentation Improves Generalization. CoRR abs/2502.08940 (2025) - [i60]Shijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-Chuan Toh, Pan Zhou:
GRIFFIN: Effective Token Alignment for Faster Speculative Decoding. CoRR abs/2502.11018 (2025) - [i59]Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves:
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. CoRR abs/2502.17028 (2025) - [i58]Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves:
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. CoRR abs/2505.01726 (2025) - [i57]Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves:
Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. CoRR abs/2506.22979 (2025) - [i56]Shijing Hu, Jingyang Li, Zhihui Lu, Pan Zhou:
Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding. CoRR abs/2509.22134 (2025) - [i55]Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin:
Conda: Column-Normalized Adam for Training Large Language Models Faster. CoRR abs/2509.24218 (2025) - [i54]Ruihao Xia, Yang Tang, Pan Zhou:
Towards Scalable and Consistent 3D Editing. CoRR abs/2510.02994 (2025) - 2024
- [j18]Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu:
Instant3D: Instant Text-to-3D Generation. Int. J. Comput. Vis. 132(10): 4456-4472 (2024) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. IEEE Trans. Knowl. Data Eng. 36(3): 1161-1169 (2024) - [j11]Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024) - [c49]Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou:
MoExtend: Tuning New Experts for Modality and Task Extension. ACL (Student Research Workshop) 2024: 80-91 - [c48]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CVPR 2024: 5631-5640 - [c47]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CVPR 2024: 5672-5683 - [c46]Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang:
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CVPR 2024: 9892-9902 - [c45]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CVPR 2024: 9948-9958 - [c44]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CVPR 2024: 13246-13257 - [c43]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-Shot Learner Parameterization by Diffusion Time-Steps. CVPR 2024: 23263-23272 - [c42]Yichen Zhou, Pan Zhou, Teck Khim Ng:
Efficient Cascaded Multiscale Adaptive Network for Image Restoration. ECCV (19) 2024: 92-110 - [c41]Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou:
GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator. ECCV (23) 2024: 129-147 - [c40]Sike Wang, Pan Zhou, Jia Li, Hua Huang:
4-bit Shampoo for Memory-Efficient Network Training. NeurIPS 2024 - [c39]Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou:
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. NeurIPS 2024 - [c38]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. NeurIPS 2024 - [c37]Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Zechen Bai, Mike Zheng Shou:
LOVA3: Learning to Visual Question Answering, Asking and Assessment. NeurIPS 2024 - [i53]Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang:
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior. CoRR abs/2401.09050 (2024) - [i52]Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun:
Few-shot Learner Parameterization by Diffusion Time-steps. CoRR abs/2403.02649 (2024) - [i51]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CoRR abs/2403.12350 (2024) - [i50]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) - [i49]Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang:
Diffusion Time-step Curriculum for One Image to 3D Generation. CoRR abs/2404.04562 (2024) - [i48]Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Mike Zheng Shou:
LOVA3: Learning to Visual Question Answering, Asking and Assessment. CoRR abs/2405.14974 (2024) - [i47]Sike Wang, Jia Li, Pan Zhou, Hua Huang:
4-bit Shampoo for Memory-Efficient Network Training. CoRR abs/2405.18144 (2024) - [i46]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) - [i45]Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou:
LoCo: Low-Bit Communication Adaptor for Large-scale Model Training. CoRR abs/2407.04480 (2024) - [i44]Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou:
MoExtend: Tuning New Experts for Modality and Task Extension. CoRR abs/2408.03511 (2024) - [i43]Bowen Dong, Pan Zhou, Wangmeng Zuo:
LPT++: Efficient Training on Mixture of Long-tailed Experts. CoRR abs/2409.11323 (2024) - [i42]Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou:
Towards Natural Image Matting in the Wild via Real-Scenario Prior. CoRR abs/2410.06593 (2024) - [i41]Ziming Yu, Pan Zhou, Sike Wang, Jia Li, Hua Huang:
SubZero: Random Subspace Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning. CoRR abs/2410.08989 (2024) - [i40]Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou:
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning. CoRR abs/2410.11206 (2024) - [i39]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) - [i38]Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou:
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation. CoRR abs/2410.21708 (2024) - [i37]Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves:
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. CoRR abs/2411.04679 (2024) - [i36]Jingyang Li, Kuangyu Ding, Kim-Chuan Toh, Pan Zhou:
Memory-Efficient 4-bit Preconditioned Stochastic Optimization. CoRR abs/2412.10663 (2024) - 2023
- [j10]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) - [c36]Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-Guided Text Prompt for Vision-Language Pre-Training. CVPR 2023: 23242-23251 - [c35]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 - [c34]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV 2023: 23107-23116 - [c33]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. ICLR 2023 - [c32]Jiachun Pan, Pan Zhou, Shuicheng Yan:
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks. ICLR 2023 - [c31]Pan Zhou, Xingyu Xie, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. ICLR 2023 - [c30]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 - [c29]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS 2023 - [i35]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. CoRR abs/2302.13668 (2023) - [i34]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR abs/2303.14389 (2023) - [i33]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CoRR abs/2303.16900 (2023) - [i32]Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang:
Fast Diffusion Model. CoRR abs/2306.06991 (2023) - [i31]Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin:
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. CoRR abs/2310.13545 (2023) - [i30]Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu:
Instant3D: Instant Text-to-3D Generation. CoRR abs/2311.08403 (2023) - [i29]Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou:
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CoRR abs/2312.02439 (2023) - [i28]Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou:
Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator. CoRR abs/2312.06731 (2023) - 2022
- [j9]Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi:
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5933-5946 (2022) - [j8]Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong:
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7806-7817 (2022) - [c28]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819 - [c27]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. ECCV (36) 2022: 39-58 - [c26]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Self-Promoted Supervision for Few-Shot Transformer. ECCV (20) 2022: 329-347 - [c25]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. ECCV (34) 2022: 577-595 - [c24]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. NeurIPS 2022 - [c23]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Towards Class Interpretable Vision Transformer with Multi-Class-Tokens. PRCV (3) 2022: 609-622 - [i27]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Self-Promoted Supervision for Few-Shot Transformer. CoRR abs/2203.07057 (2022) - [i26]Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan:
Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR abs/2203.14415 (2022) - [i25]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. CoRR abs/2205.12956 (2022) - [i24]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. CoRR abs/2207.05342 (2022) - [i23]Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. CoRR abs/2208.06677 (2022) - [i22]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. CoRR abs/2210.01033 (2022) - [i21]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Towards Sustainable Self-supervised Learning. CoRR abs/2210.11016 (2022) - [i20]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022) - [i19]Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-guided Text Prompt for Vision-Language Pre-training. CoRR abs/2212.09737 (2022) - 2021
- [j7]Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 459-472 (2021) - [j6]Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1718-1732 (2021) - [c22]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI 2021: 13362-13370 - [c21]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI 2021: 14112-14120 - [c20]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. EMNLP (Findings) 2021: 2765-2777 - [c19]Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. ICLR 2021 - [c18]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? ICML 2021: 543-553 - [c17]Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS 2021: 6183-6197 - [c16]Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS 2021: 27290-27304 - [c15]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [i18]Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021) - [i17]Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR abs/2106.14749 (2021) - [i16]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR abs/2109.09161 (2021) - [i15]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021) - [i14]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. CoRR abs/2112.04674 (2021) - 2020
- [c14]Pan Zhou, Xiao-Tong Yuan:
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. ICML 2020: 11556-11565 - [c13]Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu:
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. NeurIPS 2020 - [c12]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [c11]Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS 2020 - [i13]Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen:
Data Augmentation Imbalance For Imbalanced Attribute Classification. CoRR abs/2004.13628 (2020) - [i12]Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. CoRR abs/2005.04966 (2020) - [i11]Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu:
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. CoRR abs/2006.06900 (2020) - [i10]Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR abs/2006.16537 (2020) - [i9]Pan Zhou, Xiaotong Yuan:
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization. CoRR abs/2009.09835 (2020) - [i8]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - [i7]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? CoRR abs/2010.05843 (2020) - [i6]Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. CoRR abs/2010.12609 (2020) - [i5]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. CoRR abs/2012.11896 (2020) - [i4]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR abs/2012.11988 (2020)
2010 – 2019
- 2019
- [c10]Pan Zhou, Xiao-Tong Yuan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. AISTATS 2019: 138-147 - [c9]Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng:
Generalized Majorization-Minimization for Non-Convex Optimization. IJCAI 2019: 4257-4263 - [c8]Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng:
Efficient Meta Learning via Minibatch Proximal Update. NeurIPS 2019: 1532-1542 - [c7]Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim:
Task Relation Networks. WACV 2019: 932-940 - [i3]Canyi Lu, Pan Zhou:
Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms. CoRR abs/1907.08288 (2019) - 2018
- [j5]Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang:
Dictionary learning with structured noise. Neurocomputing 273: 414-423 (2018) - [j4]Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang:
Tensor Factorization for Low-Rank Tensor Completion. IEEE Trans. Image Process. 27(3): 1152-1163 (2018) - [c6]Pan Zhou, Yunqing Hou, Jiashi Feng:
Deep Adversarial Subspace Clustering. CVPR 2018: 1596-1604 - [c5]Pan Zhou, Jiashi Feng:
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks. ICLR (Poster) 2018 - [c4]Pan Zhou, Jiashi Feng:
Understanding Generalization and Optimization Performance of Deep CNNs. ICML 2018: 5955-5964 - [c3]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity. NeurIPS 2018: 1242-1251 - [c2]Pan Zhou, Xiaotong Yuan, Jiashi Feng:
Efficient Stochastic Gradient Hard Thresholding. NeurIPS 2018: 1988-1997 - [i2]Pan Zhou, Jiashi Feng:
Understanding Generalization and Optimization Performance of Deep CNNs. CoRR abs/1805.10767 (2018) - 2017
- [j3]Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin:
Feature learning via partial differential equation with applications to face recognition. Pattern Recognit. 69: 14-25 (2017) - [j2]Pan Zhou, Chao Zhang, Zhouchen Lin:
Bilevel Model-Based Discriminative Dictionary Learning for Recognition. IEEE Trans. Image Process. 26(3): 1173-1187 (2017) - [c1]Pan Zhou, Jiashi Feng:
Outlier-Robust Tensor PCA. CVPR 2017: 3938-3946 - [i1]Pan Zhou, Jiashi Feng:
The Landscape of Deep Learning Algorithms. CoRR abs/1705.07038 (2017) - 2016
- [j1]Pan Zhou, Zhouchen Lin, Chao Zhang:
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1080-1093 (2016)
Coauthor Index
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