Yu Pan - RankMe

33 papers A* 5A 2B 1Misc 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing progressive ensemble learning via normalized extra-Gradient initialization. Neural Networks Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu
2025	J	`jnl`	Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025	A*	`conf`	IDInit: A Universal and Stable Initialization Method for Neural Network Training. ICLR Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025	J	`jnl`	IDInit: A Universal and Stable Initialization Method for Neural Network Training. CoRR Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu
2025	A	`conf`	On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. AISTATS Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2024	J	`jnl`	Cumulative Distribution Function based General Temporal Point Processes. CoRR Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
2024	A*	`conf`	Preparing Lessons for Progressive Training on Language Models. AAAI Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024	J	`jnl`	Preparing Lessons for Progressive Training on Language Models. CoRR Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024	A	`conf`	Tensorized Hypergraph Neural Networks. SDM Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2024	J	`jnl`	Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization. CoRR Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
2023	J	`jnl`	Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	J	`jnl`	RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2023	A*	`conf`	Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
2023	J	`jnl`	Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu
2023	J	`jnl`	Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	J	`jnl`	Tensor Networks Meet Neural Networks: A Survey. CoRR Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu
2023	J	`jnl`	Tensorized Hypergraph Neural Networks. CoRR Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2022	A*	`conf`	A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. ICML Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
2022	J	`jnl`	A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. CoRR Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu
2022	J	`jnl`	AFINet: Attentive Feature Integration Networks for image classification. Neural Networks Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
2022	J	`jnl`	Heuristic rank selection with progressively searching tensor ring network. Complex Intell. Syst. Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2022	Misc	`conf`	Semantically Proportional Patchmix for Few-Shot Learning. ICASSP Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
2022	J	`jnl`	Semantically Proportional Patchmix for Few-Shot Learning. CoRR Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu
2022	J	`jnl`	TedNet: A Pytorch toolkit for tensor decomposition networks. Neurocomputing Yu Pan, Maolin Wang, Zenglin Xu
2021	J	`jnl`	AFINet: Attentive Feature Integration Networks for Image Classification. CoRR Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
2021	J	`jnl`	Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. CoRR Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
2021	J	`jnl`	RegNet: Self-Regulated Network for Image Classification. CoRR Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2021	J	`jnl`	TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. CoRR Yu Pan, Maolin Wang, Zenglin Xu
2020	—	`conf`	Concatenated Tensor Networks for Deep Multi-Task Learning. ICONIP (5) Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu
2020	J	`jnl`	Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
2019	A*	`conf`	Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
2019	B	`conf`	Tensor Ring Restricted Boltzmann Machines. IJCNN Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu
2018	J	`jnl`	Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu