Pan Zhou · Singapore Management University

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Academic lineage

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Advisors

Feng Jiashi
PhD advisor · until 2019 · National University of Singapore
From a thesis record ↗
Yan Shuicheng
PhD advisor · until 2019 · National University of Singapore
From a thesis record ↗

Works66 from public data

TitleCited by

MetaFormer is Actually What You Need for Vision
Weihao Yu, Romy Mi Luo, Pan Zhou, Chen-Yang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shui-Cheng Yan
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2022
1,462
Prototypical Contrastive Learning of Unsupervised Representations
arXiv · 2020
468
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
406
MetaFormer Baselines for Vision
Weihao Yu, Chen-Yang Si, Pan Zhou, Romy Mi Luo, Yichen Zhou, Jiashi Feng, Shui-Cheng Yan, Xinchao Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
384
Tensor Factorization for Low-Rank Tensor Completion
Pan Zhou, Can-Yi Lu, Zhou-Chen Lin, Chao Zhang
IEEE Transactions on Image Processing · 2017
367
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Xingyu Xie, Pan Zhou, Huan Li, Zhou-Chen Lin, Shui-Cheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
347
Towards Understanding Convergence and Generalization of AdamW
Pan Zhou, Xingyu Xie, Zhouchen Lin, Shui-Cheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2024
338
Deep Adversarial Subspace Clustering
Pan Zhou, Yunqing Hou, Jiashi Feng
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2018
204
Tensor Low-Rank Representation for Data Recovery and Clustering
Pan Zhou, Can-Yi Lu, Jiashi Feng, Zhou-Chen Lin, Shui-Cheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019
169
Prototypical Graph Contrastive Learning
Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, +2 more
IEEE Transactions on Neural Networks and Learning Systems · 2022
126
LPT: Long-tailed Prompt Tuning for Image Classification
Bo-Wen Dong, Pan Zhou, Shui-Cheng Yan, W. Zuo
arXiv · 2022
113
Outlier-Robust Tensor PCA
Pan Zhou, Jiashi Feng
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2017
108
Efficient Meta Learning via Minibatch Proximal Update
Pan Zhou, Xiao-Tong Yuan, Huan Xu, Shui-Cheng Yan, Jiashi Feng
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2019
99
Video Graph Transformer for Video Question Answering
Lecture notes in computer science · 2022
90
Contrastive Video Question Answering via Video Graph Transformer
Junbin Xiao, Pan Zhou, Angela Yao, Yi-Cong Li, Richang Hong, Shuicheng Yan, Tat-seng Chua
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
78
Integrated Low-Rank-Based Discriminative Feature Learning for Recognition
Pan Zhou, Zhou-Chen Lin, Chao Zhang
IEEE Transactions on Neural Networks and Learning Systems · 2015
74
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou, Yichen Zhou, Chen-Yang Si, Weihao Yu, Teck Khim Ng, Shui-Cheng Yan
arXiv · 2022
73
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds
Pan Zhou, Xiao-Tong Yuan, Shui-Cheng Yan, Jiashi Feng
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019
71
Friendly Sharpness-Aware Minimization
Tao Li, Pan Zhou, Zheng-Bao He, Xinwen Cheng, Xiao-Lin Huang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
69
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
arXiv · 2020
56
Self-Promoted Supervision for Few-Shot Transformer
Lecture notes in computer science · 2022
48
Efficient Stochastic Gradient Hard Thresholding
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2018
43
Bilevel Model-Based Discriminative Dictionary Learning for Recognition
Pan Zhou, Chao Zhang, Zhou-Chen Lin
IEEE Transactions on Image Processing · 2016
43
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation
Shang-Hua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shui-Cheng Yan
ACM International Conference on Multimedia (ACM MM) · 2023
41
Iterative Graph Self-Distillation
Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, E. Xing
IEEE Transactions on Knowledge and Data Engineering · 2023
38
Feature learning via partial differential equation with applications to face recognition
Cong Fang, Zhen-Yu Zhao, Pan Zhou, Zhou-Chen Lin
Pattern Recognition · 2017
34
Fast Diffusion Model
Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang
arXiv · 2023
30
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shui-Cheng Yan
Lecture notes in computer science · 2022
30
Gamba: Marry Gaussian Splatting With Mamba for Single-View 3D Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
29
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition
Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin
Findings of the Association for Computational Linguistics: EMNLP 2021 · 2021
28
Dictionary learning with structured noise
Pan Zhou, Cong Fang, Zhou-Chen Lin, Chao Zhang, Edward Y. Chang
Neurocomputing · 2017
27
Theory-Inspired Path-Regularized Differential Network Architecture Search
arXiv · 2020
24
A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models
Zhongzhan Huang, Shan Zhong, Pan Zhou, Shanghua Gao, M. Zitnik, Liang Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
23
Task Relation Networks
Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, S. Roy, Shui-Cheng Yan, Jiashi Feng, T. Sim
IEEE Winter Conference on Applications of Computer Vision · 2019
22
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
Pan Zhou, Xiao-Tong Yuan, Jiashi Feng
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2018
21
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
Pan Zhou, Jiashi Feng
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2018
20
Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts
Alex Jinpeng Wang, Pan Zhou, M. Shou, Shui-Cheng Yan
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2023
19
Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2021
18
The Landscape of Deep Learning Algorithms
arXiv · 2017
15
LoCo: Low-Bit Communication Adaptor for Large-Scale Model Training
Xing-Yu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
12
Towards Sustainable Self-supervised Learning
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan
arXiv · 2022
11
How Important is the Train-Validation Split in Meta-Learning?
arXiv · 2020
10
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
arXiv · 2020
10
Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
Li-Zheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
9
Efficient Cascaded Multiscale Adaptive Network for Image Restoration
Yichen Zhou, Pan Zhou, Teck Khim Ng
Lecture notes in computer science · 2024
7
Tensor principal component analysis
Pan Zhou, Can-Yi Lu, Zhou-Chen Lin
Elsevier eBooks · 2022
7
A Stochastic Trust Region Method for Non-convex Minimization
arXiv · 2019
7
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
arXiv · 2020
6
Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms
arXiv · 2019
6
Towards Class Interpretable Vision Transformer with Multi-Class-Tokens
Bo-Wen Dong, Pan Zhou, Shuicheng Yan, W. Zuo
Lecture notes in computer science · 2022
5
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning
Fan-Hua Shang, Bingkun Wei, Hongying Liu, Yuan-Yuan Liu, Pan Zhou, Mao-Guo Gong
IEEE Transactions on Neural Networks and Learning Systems · 2021
5
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
arXiv · 2021
5
Towards Understanding Why Data Augmentation Improves Generalization
Jingyang Li, Jiachun Pan, Kim-Chuan Toh, Pan Zhou
arXiv · 2025
4
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
neural information processing systems · 2024
4
Generalized Majorization-Minimization for Non-Convex Optimization
Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng
International Joint Conference on Artificial Intelligence · 2019
4
A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization
Pan Zhou, Xiao-Tong Yuan, Zhou-Chen Lin, S. Hoi
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2021
3
Bayesian CycleGAN via Marginalizing Latent Sampling.
Hao-Ran You, Yu Cheng, Tian-Heng Cheng, Chun-Liang Li, Pan Zhou
arXiv · 2018
3
Sparse Representation Based Image Super‐resolution Using Large Patches
Ning Liu, Pan Zhou, Wenju Liu, Deng-Feng Ke
Chinese Journal of Electronics · 2018
2
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
arXiv · 2024
1
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach
arXiv · 2024
1
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
Singapore Management University Institutional Knowledge (InK) (Singapore Management University) · 2021
1
SEMat: Semantic Enhanced Natural Image Interactive Matting
Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou
IEEE Transactions on Circuits and Systems for Video Technology · 2025
–
Erasure for Advancing: Dynamic Self-Supervised Learning for Commonsense Reasoning
Fuyu Wang, Pan Zhou, Xiaodan Liang, Liang Lin
2021
–
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
arXiv · 2020
–
User-based Network Embedding for Collective Opinion Spammer Detection
arXiv · 2020
–
Withdrawing the Edge-Read Permission of Graph Convolutional Network to Against Adversarial Attack
2020
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar; position from the scholar’s ORCID record, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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