Xin-Chun Li - RankMe

34 papers A* 9A 2Misc 2Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploring dark knowledge under various teacher capacities and addressing capacity mismatch. Frontiers Comput. Sci. Wen-Shu Fan, Xin-Chun Li, De-Chuan Zhan
2025	—	`conf`	Maximizing the Effectiveness of Larger BERT Models for Compression. ACL (1) Wen-Shu Fan, Su Lu, Shangyu Xing, Xin-Chun Li, De-Chuan Zhan
2024	J	`jnl`	Aligning model outputs for class imbalanced non-IID federated learning. Mach. Learn. Lan Li, De-Chuan Zhan, Xin-Chun Li
2024	Misc	`conf`	CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. ICASSP Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2024	A*	`conf`	Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation. ICML Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan
2024	J	`jnl`	Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch. CoRR Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan
2024	A*	`conf`	Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. NeurIPS Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
2024	J	`jnl`	Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks. CoRR Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. IEEE Trans. Knowl. Data Eng. Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	J	`jnl`	MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. CoRR Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan
2024	A*	`conf`	MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation. ICML Bowen Tao, Xin-Chun Li, De-Chuan Zhan
2024	A*	`conf`	Revisit the Essence of Distilling Knowledge through Calibration. ICML Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan
2024	J	`jnl`	Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks. CoRR Xin-Chun Li, Lan Li, De-Chuan Zhan
2024	A	`conf`	Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. ECAI Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan
2024	J	`jnl`	Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. CoRR Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan
2023	J	`jnl`	CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning. CoRR Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan
2023	J	`jnl`	MrTF: Model Refinery for Transductive Federated Learning. CoRR Xin-Chun Li, Yang Yang, De-Chuan Zhan
2023	J	`jnl`	MrTF: model refinery for transductive federated learning. Data Min. Knowl. Discov. Xin-Chun Li, Yang Yang, De-Chuan Zhan
2022	A*	`conf`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. NeurIPS Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. CoRR Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan
2022	A	`conf`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. INTERSPEECH Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	J	`jnl`	Avoid Overfitting User Specific Information in Federated Keyword Spotting. CoRR Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan
2022	Misc	`conf`	Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. ICASSP Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan
2022	A*	`conf`	Federated Learning with Position-Aware Neurons. CVPR Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2022	J	`jnl`	Federated Learning with Position-Aware Neurons. CoRR Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
2021	J	`jnl`	Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. CoRR Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	J	`jnl`	Deep multiple instance selection. Sci. China Inf. Sci. Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi
2021	—	`conf`	FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	A*	`conf`	FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data. KDD Xin-Chun Li, De-Chuan Zhan
2021	J	`jnl`	Preliminary Steps Towards Federated Sentiment Classification. CoRR Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
2021	A*	`conf`	Task Cooperation for Semi-Supervised Few-Shot Learning. AAAI Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
2020	—	`conf`	Bottom-Up and Top-Down Graph Pooling. PAKDD (2) Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li
2020	—	`conf`	Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. PAKDD (2) Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu
2019	A*	`conf`	Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards. IJCAI Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu