Bingshuai Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Sentiment Classification

Prediction Intervals

Domain Adaptation

Avoid Overfitting

Top Venues

Pattern Recognit.

Publications

Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. ICPP (2024)
Guopeng Lin, Weili Han, Wenqiang Ruan, Ruisheng Zhou, Lushan Song, Bingshuai Li, Yunfeng Shao
Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. CoRR (2024)
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)
Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
Lattice based distributed threshold additive homomorphic encryption with application in federated learning. Comput. Stand. Interfaces 87 (2024)
Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yan Zhuang, Zhenzhe Zheng, Yunfeng Shao, Bingshuai Li, Fan Wu, Guihai Chen
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. CoRR (2023)
Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143 (2023)
Songli Zhang, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. ICPP (2023)
Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen
To Store or Not? Online Data Selection for Federated Learning with Limited Storage. WWW (2023)
Chen Gong, Zhenzhe Zheng, Fan Wu, Bingshuai Li, Yunfeng Shao, Guihai Chen
ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. CoRR (2022)
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)
Haibo Tian, Yanchuan Wen, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. CSS (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)
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Exploring uncertainty in regression neural networks for construction of prediction intervals. Neurocomputing 481 (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, 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)
Haibo Tian, Fangguo Zhang, Yunfeng Shao, Bingshuai Li
Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. CoRR (2021)
Kunhong Wu, Yucheng Shi, Yahong Han, Yunfeng Shao, Bingshuai Li
Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. CoRR (2021)
Yuandu Lai, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. CoRR (2021)
Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song
FedPHP: Federated Personalization with Inherited Private Models. ECML/PKDD (1) (2021)
Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. IJCAI (2020)