Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation. - Pin Jiang; Aming Wu; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (IJCAI, 2020)

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

Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals. - Yuandu Lai; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (CoRR, 2021)

Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. - Kunhong Wu; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Bingshuai Li (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 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)

Secure Linear Aggregation Using Decentralized Threshold Additive Homomorphic Encryption For Federated Learning. - Haibo Tian; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (CoRR, 2021)

A Distributed Threshold Additive Homomorphic Encryption for Federated Learning with Dropout Resiliency Based on Lattice. - Haibo Tian; Yanchuan Wen; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (CSS, 2022)

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)

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)

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (CoRR, 2022)

Exploring uncertainty in regression neural networks for construction of prediction intervals. - Yuandu Lai; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (Neurocomputing, 2022)

Learning From Your Neighbours: Mobility-Driven Device-Edge-Cloud Federated Learning. - Songli Zhang; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (ICPP, 2023)

To Store or Not? Online Data Selection for Federated Learning with Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Yunfeng Shao 001; Bingshuai Li; Guihai Chen (WWW, 2023)

ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation. - Yan Zhuang; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (CoRR, 2023)

Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. - Run Li; Yucheng Shi; Yahong Han; Yunfeng Shao 001; Meiyu Qi; Bingshuai Li (IEEE Trans. Knowl. Data Eng., 2023)

Source-free and black-box domain adaptation via distributionally adversarial training. - Yucheng Shi; Kunhong Wu; Yahong Han; Yunfeng Shao 001; Bingshuai Li; Fei Wu 001 (Pattern Recognit., 2023)

Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization. - Guopeng Lin; Weili Han; Wenqiang Ruan; Ruisheng Zhou; Lushan Song; Bingshuai Li; Yunfeng Shao 001 (CCS, 2024)

Nebula: An Edge-Cloud Collaborative Learning Framework for Dynamic Edge Environments. - Yan Zhuang; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (ICPP, 2024)

Lattice based distributed threshold additive homomorphic encryption with application in federated learning. - Haibo Tian; Yanchuan Wen; Fangguo Zhang; Yunfeng Shao 001; Bingshuai Li (Comput. Stand. Interfaces, 2024)

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (IEEE/ACM Trans. Netw., 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)

MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework. - Songli Zhang; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (IEEE Trans. Mob. Comput., 2025)