Yu Pan

According to our database, Yu Pan authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

Preparing Lessons for Progressive Training on Language Models.

Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

RegNet: Self-Regulated Network for Image Classification.

Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Reusing Pretrained Models by Multi-linear Operators for Efficient Training.

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.

Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang

CoRR, 2023

Tensorized Hypergraph Neural Networks.

Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

Tensor Networks Meet Neural Networks: A Survey.

Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu

CoRR, 2023

Reusing Pretrained Models by Multi-linear Operators for Efficient Training.

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

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

2022

AFINet: Attentive Feature Integration Networks for image classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu

Neural Networks, 2022

TedNet: A Pytorch toolkit for tensor decomposition networks.

Yu Pan, Maolin Wang, Zenglin Xu

Neurocomputing, 2022

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.

Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu

Proceedings of the International Conference on Machine Learning, 2022

Semantically Proportional Patchmix for Few-Shot Learning.

Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Graph Partner Neural Networks for Semi-Supervised Learning on Graphs.

Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu

CoRR, 2021

AFINet: Attentive Feature Integration Networks for Image Classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu

CoRR, 2021

2020

Heuristic Rank Selection with Progressively Searching Tensor Ring Network.

Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu

CoRR, 2020

Concatenated Tensor Networks for Deep Multi-Task Learning.

Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Tensor Ring Restricted Boltzmann Machines.

Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu

Proceedings of the International Joint Conference on Neural Networks, 2019

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.

Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019