Xin-Chun Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Sentiment Classification

Graph Transduction

Avoid Overfitting

Top Venues

Publications

Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR (2024)
Lan Li, De-Chuan Zhan, Xin-Chun Li
Aligning model outputs for class imbalanced non-IID federated learning. Mach. Learn. 113 (4) (2024)
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. ICASSP (2024)
Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch. CoRR (2024)
Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. CoRR (2024)
Xin-Chun Li, Lan Li, De-Chuan Zhan
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. CoRR (2024)
Xin-Chun Li, Yang Yang, De-Chuan Zhan
MrTF: Model Refinery for Transductive Federated Learning. CoRR (2023)
Xin-Chun Li, Yang Yang, De-Chuan Zhan
MrTF: model refinery for transductive federated learning. Data Min. Knowl. Discov. 37 (5) (2023)
Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. CoRR (2023)
Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CVPR (2022)
Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH (2022)
Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS (2022)
Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan
Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP (2022)
Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR (2022)
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning with Position-Aware Neurons. CoRR (2022)
Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR (2021)
Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
Preliminary Steps Towards Federated Sentiment Classification. CoRR (2021)
Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
Task Cooperation for Semi-Supervised Few-Shot Learning. AAAI (2021)
Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi
Deep multiple instance selection. Sci. China Inf. Sci. 64 (3) (2021)
Xin-Chun Li, De-Chuan Zhan
FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. KDD (2021)
Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) (2021)
Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li
Bottom-Up and Top-Down Graph Pooling. PAKDD (2) (2020)
Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. PAKDD (2) (2020)
Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu
Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. IJCAI (2019)