Yu Pan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Spatial Pooling

Distribution Function

Image Classification

Top Venues

Publications

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. SDM (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. AAAI (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. CoRR (2024)
Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
Cumulative Distribution Function based General Temporal Point Processes. CoRR (2024)
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR (2023)
Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR (2023)
Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu
Tensor Networks Meet Neural Networks: A Survey. CoRR (2023)
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS (2023)
Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
Tensorized Hypergraph Neural Networks. CoRR (2023)
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. ICML (2022)
Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. CoRR (2022)
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
AFINet: Attentive Feature Integration Networks for image classification. Neural Networks 155 (2022)
Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
Semantically Proportional Patchmix for Few-Shot Learning. CoRR (2022)
Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
Semantically Proportional Patchmix for Few-Shot Learning. ICASSP (2022)
Yu Pan, Maolin Wang, Zenglin Xu
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. CoRR (2021)
Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. CoRR (2021)
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
AFINet: Attentive Feature Integration Networks for Image Classification. CoRR (2021)
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
RegNet: Self-Regulated Network for Image Classification. CoRR (2021)
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR (2020)
Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu
Concatenated Tensor Networks for Deep Multi-Task Learning. ICONIP (5) (2020)
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI (2019)
Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu
Tensor Ring Restricted Boltzmann Machines. IJCNN (2019)
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR (2018)