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Xin-Chun Li

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

10

Active years

2019–2025

Best venue rank

A*

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2025ACLMaximizing the Effectiveness of Larger BERT Models for Compression.Wen-Shu Fan, Su Lu, Shangyu Xing, Xin-Chun Li, De-Chuan Zhan
2024ECAIWeight Scope Alignment: A Frustratingly Easy Method for Model Merging.Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan
2024ICASSPCLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning.Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2024ICMLRevisit the Essence of Distilling Knowledge through Calibration.Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan
2024ICMLEnhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation.Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan
2024ICMLMLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation.Bowen Tao, Xin-Chun Li, De-Chuan Zhan
2022CVPRFederated Learning with Position-Aware Neurons.Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022ICASSPExploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling.Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan
2022InterspeechAvoid Overfitting User Specific Information in Federated Keyword Spotting.Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2021AAAITask Cooperation for Semi-Supervised Few-Shot Learning.Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
2021KDDFedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data.Xin-Chun Li, De-Chuan Zhan
2020PAKDDTowards Understanding Transfer Learning Algorithms Using Meta Transfer Features.Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu
2020PAKDDBottom-Up and Top-Down Graph Pooling.Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li
2019IJCAIAutomatic Successive Reinforcement Learning with Multiple Auxiliary Rewards.Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu