Xin-Chun Li

According to our database, Xin-Chun Li authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes.

Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang, De-Chuan Zhan

IEEE Trans. Knowl. Data Eng., November, 2024

Aligning model outputs for class imbalanced non-IID federated learning.

Lan Li, De-Chuan Zhan, Xin-Chun Li

Mach. Learn., April, 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

Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks.

Xin-Chun Li, Lan Li, De-Chuan Zhan

CoRR, 2024

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks.

Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

CoRR, 2024

MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation.

Bowen Tao, Xin-Chun Li, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation.

Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisit the Essence of Distilling Knowledge through Calibration.

Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning.

Bowen Tao, Lan Li, Xin-Chun Li, De-Chuan Zhan

Proceedings of the IEEE International Conference on Acoustics, 2024

Weight Scope Alignment: A Frustratingly Easy Method for Model Merging.

Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

MrTF: model refinery for transductive federated learning.

Xin-Chun Li, Yang Yang, De-Chuan Zhan

Data Min. Knowl. Discov., September, 2023

2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

CoRR, 2022

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again.

Xin-Chun Li, Wen-Shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Avoid 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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling.

Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan

Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Learning with Position-Aware Neurons.

Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Preliminary Steps Towards Federated Sentiment Classification.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

CoRR, 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, Bingshuai Li, Shaoming Song

CoRR, 2021

Deep multiple instance selection.

Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi

Sci. China Inf. Sci., 2021

FedPHP: Federated Personalization with Inherited Private Models.

Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data.

Xin-Chun Li, De-Chuan Zhan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Task Cooperation for Semi-Supervised Few-Shot Learning.

Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bottom-Up and Top-Down Graph Pooling.

Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features.

Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards.

Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019