Pan Zhou

According to our database, Pan Zhou authored at least 79 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models.

Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Instant3D: Instant Text-to-3D Generation.

Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan, Xiangyu Xu

Int. J. Comput. Vis., October, 2024

Towards Understanding Convergence and Generalization of AdamW.

Pan Zhou, Xingyu Xie, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

Enhancing Visual Grounding in Vision-Language Pre-Training With Position-Guided Text Prompts.

Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Iterative Graph Self-Distillation.

Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing

IEEE Trans. Knowl. Data Eng., March, 2024

Prototypical Graph Contrastive Learning.

Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

MetaFormer Baselines for Vision.

Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training.

Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan

J. Mach. Learn. Res., 2024

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation.

Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou

CoRR, 2024

Two are better than one: Context window extension with multi-grained self-injection.

Wei Han, Pan Zhou, Soujanya Poria, Shuicheng Yan

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, Pan Zhou

CoRR, 2024

LPT++: Efficient Training on Mixture of Long-tailed Experts.

Bowen Dong, Pan Zhou, Wangmeng Zuo

CoRR, 2024

LoCo: Low-Bit Communication Adaptor for Large-scale Model Training.

Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan Zhou

CoRR, 2024

MVGamba: Unify 3D Content Generation as State Space Sequence Modeling.

Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang

CoRR, 2024

LOVA3: Learning to Visual Question Answering, Asking and Assessment.

Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Mike Zheng Shou

CoRR, 2024

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction.

Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang

CoRR, 2024

GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator.

Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Few-Shot Learner Parameterization by Diffusion Time-Steps.

Zhongqi Yue, Pan Zhou, Richang Hong, Hanwang Zhang, Qianru Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

InceptionNeXt: When Inception Meets ConvNeXt.

Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Diffusion Time-step Curriculum for One Image to 3D Generation.

Xuanyu Yi, Zike Wu, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior.

Zike Wu, Pan Zhou, Xuanyu Yi, Xiaoding Yuan, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MoExtend: Tuning New Experts for Modality and Task Extension.

Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Contrastive Video Question Answering via Video Graph Transformer.

Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator.

Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou

CoRR, 2023

Fast Diffusion Model.

Zike Wu, Pan Zhou, Kenji Kawaguchi, Hanwang Zhang

CoRR, 2023

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection.

Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation.

Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms.

Pan Zhou, Xingyu Xie, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks.

Jiachun Pan, Pan Zhou, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LPT: Long-tailed Prompt Tuning for Image Classification.

Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition.

Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Masked Diffusion Transformer is a Strong Image Synthesizer.

Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Position-Guided Text Prompt for Vision-Language Pre-Training.

Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong

IEEE Trans. Neural Networks Learn. Syst., 2022

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.

Pan Zhou, Xiao-Tong Yuan, Zhouchen Lin, Steven C. H. Hoi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Position-guided Text Prompt for Vision-Language Pre-training.

Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan

CoRR, 2022

Towards Sustainable Self-supervised Learning.

Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan

CoRR, 2022

Mugs: A Multi-Granular Self-Supervised Learning Framework.

Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan

CoRR, 2022

Towards Class Interpretable Vision Transformer with Multi-Class-Tokens.

Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Inception Transformer.

Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Video Graph Transformer for Video Question Answering.

Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.

Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Promoted Supervision for Few-Shot Transformer.

Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2022, 2022

MetaFormer is Actually What You Need for Vision.

Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.

Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Tensor Low-Rank Representation for Data Recovery and Clustering.

Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Prototypical Graph Contrastive Learning.

Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

CoRR, 2021

Task similarity aware meta learning: theory-inspired improvement on MAML.

Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond.

Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning.

Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Important is the Train-Validation Split in Meta-Learning?

Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong

Proceedings of the 38th International Conference on Machine Learning, 2021

Prototypical Contrastive Learning of Unsupervised Representations.

Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition.

Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.

Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Prototypical Contrastive Learning of Unsupervised Representations.

Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi

CoRR, 2020

Data Augmentation Imbalance For Imbalanced Attribute Classification.

Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen

CoRR, 2020

Theory-Inspired Path-Regularized Differential Network Architecture Search.

Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.

Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting.

Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization.

Pan Zhou, Xiao-Tong Yuan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms.

Canyi Lu, Pan Zhou

CoRR, 2019

Task Relation Networks.

Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Efficient Meta Learning via Minibatch Proximal Update.

Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalized Majorization-Minimization for Non-Convex Optimization.

Hu Zhang, Pan Zhou, Yi Yang, Jiashi Feng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds.

Pan Zhou, Xiao-Tong Yuan, Jiashi Feng

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Tensor Factorization for Low-Rank Tensor Completion.

Pan Zhou, Canyi Lu, Zhouchen Lin, Chao Zhang

IEEE Trans. Image Process., 2018

Dictionary learning with structured noise.

Pan Zhou, Cong Fang, Zhouchen Lin, Chao Zhang, Edward Y. Chang

Neurocomputing, 2018

Efficient Stochastic Gradient Hard Thresholding.

Pan Zhou, Xiaotong Yuan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity.

Pan Zhou, Xiaotong Yuan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding Generalization and Optimization Performance of Deep CNNs.

Pan Zhou, Jiashi Feng

Proceedings of the 35th International Conference on Machine Learning, 2018

Empirical Risk Landscape Analysis for Understanding Deep Neural Networks.

Pan Zhou, Jiashi Feng

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Adversarial Subspace Clustering.

Pan Zhou, Yunqing Hou, Jiashi Feng

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Bilevel Model-Based Discriminative Dictionary Learning for Recognition.

Pan Zhou, Chao Zhang, Zhouchen Lin

IEEE Trans. Image Process., 2017

Feature learning via partial differential equation with applications to face recognition.

Cong Fang, Zhenyu Zhao, Pan Zhou, Zhouchen Lin

Pattern Recognit., 2017

The Landscape of Deep Learning Algorithms.

Pan Zhou, Jiashi Feng

CoRR, 2017

Outlier-Robust Tensor PCA.

Pan Zhou, Jiashi Feng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Integrated Low-Rank-Based Discriminative Feature Learning for Recognition.

Pan Zhou, Zhouchen Lin, Chao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2016