Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. - Zhao-Yang Fu; De-Chuan Zhan; Xin-Chun Li; Yi-Xing Lu (IJCAI, 2019)

Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. - Xin-Chun Li; De-Chuan Zhan; Jia-Qi Yang 001; Yi Shi; Cheng Hang; Yi Lu 007 (PAKDD (2), 2020)

Bottom-Up and Top-Down Graph Pooling. - Jia-Qi Yang 001; De-Chuan Zhan; Xin-Chun Li (PAKDD (2), 2020)

Task Cooperation for Semi-Supervised Few-Shot Learning. - Han-Jia Ye; Xin-Chun Li; De-Chuan Zhan (AAAI, 2021)

FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. - Xin-Chun Li; De-Chuan Zhan (KDD, 2021)

FedPHP: Federated Personalization with Inherited Private Models. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (ECML/PKDD (1), 2021)

Deep multiple instance selection. - Xin-Chun Li; De-Chuan Zhan; Jia-Qi Yang 001; Yi Shi (Sci. China Inf. Sci., 2021)

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. - Xin-Chun Li; Le Gan; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Preliminary Steps Towards Federated Sentiment Classification. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yichu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CVPR, 2022)

Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. - Xin-Chun Li; Yan-Jia Wang; Le Gan; De-Chuan Zhan (ICASSP, 2022)

Avoid Overfitting User Specific Information in Federated Keyword Spotting. - Xin-Chun Li; Jin-Lin Tang; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; Le Gan; De-Chuan Zhan (INTERSPEECH, 2022)

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. - Xin-Chun Li; Wen-Shu Fan; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; De-Chuan Zhan (NeurIPS, 2022)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yi-Chu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CoRR, 2022)

MrTF: model refinery for transductive federated learning. - Xin-Chun Li; Yang Yang 074; De-Chuan Zhan (Data Min. Knowl. Discov., 2023)

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. - Yichu Xu; Xin-Chun Li; Le Gan; De-Chuan Zhan (ECAI, 2024)

CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. - Bowen Tao; Lan Li 001; Xin-Chun Li; De-Chuan Zhan (ICASSP, 2024)

Revisit the Essence of Distilling Knowledge through Calibration. - Wen-Shu Fan; Su Lu; Xin-Chun Li; De-Chuan Zhan; Le Gan (ICML, 2024)

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation. - Lan Li 001; Xin-Chun Li; Han-Jia Ye; De-Chuan Zhan (ICML, 2024)

MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation. - Bowen Tao; Xin-Chun Li; De-Chuan Zhan (ICML, 2024)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. - Xin-Chun Li; Jin-Lin Tang; Bo Zhang; Lan Li; De-Chuan Zhan (NeurIPS, 2024)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. - Xin-Chun Li; Jin-Lin Tang; Bo Zhang; Lan Li 001; De-Chuan Zhan (CoRR, 2024)

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. - Xin-Chun Li; Lan Li 001; De-Chuan Zhan (CoRR, 2024)

Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch. - Xin-Chun Li; Wen-Shu Fan; Bowen Tao; Le Gan; De-Chuan Zhan (CoRR, 2024)

Aligning model outputs for class imbalanced non-IID federated learning. - Lan Li 001; De-Chuan Zhan; Xin-Chun Li (Mach. Learn., 2024)

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. - Xin-Chun Li; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; Yang Yang 074; De-Chuan Zhan (IEEE Trans. Knowl. Data Eng., 2024)

Maximizing the Effectiveness of Larger BERT Models for Compression. - Wen-Shu Fan; Su Lu; Shangyu Xing; Xin-Chun Li; De-Chuan Zhan (ACL (1), 2025)