FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks. - Beibei Li 002; Yukun Jiang 001; Wenbin Sun; Weina Niu; Peiran Wang (GLOBECOM, 2021)

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning. - Beibei Li 002; Peiran Wang; Hanyuan Huang; Shang Ma; Yukun Jiang 001 (ISCC, 2021)

Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications. - Beibei Li 002; Yaxin Shi; Yuqing Guo; Qinglei Kong; Yukun Jiang 001 (INFOCOM Workshops, 2022)

FEEL: Federated End-to-End Learning With Non-IID Data for Vehicular Ad Hoc Networks. - Beibei Li 002; Yukun Jiang 001; Qingqi Pei; Tao Li 016; Liang Liu 009; Rongxing Lu (IEEE Trans. Intell. Transp. Syst., 2022)

Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach. - Beibei Li 002; Peiran Wang; Zerui Shao; Ao Liu 005; Yukun Jiang 001; Yizhou Li (Future Gener. Comput. Syst., 2023)

ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. - Yukun Jiang 001; Zheng Li 023; Xinyue Shen 001; Yugeng Liu; Michael Backes 001; Yang Zhang 016 (EMNLP, 2024)

Games and Beyond: Analyzing the Bullet Chats of Esports Livestreaming. - Yukun Jiang 001; Xinyue Shen 001; Rui Wen 002; Zeyang Sha; Junjie Chu 002; Yugeng Liu; Michael Backes 001; Yang Zhang 016 (ICWSM, 2024)

ModSCAN: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities. - Yukun Jiang 001; Zheng Li 023; Xinyue Shen 001; Yugeng Liu; Michael Backes 001; Yang Zhang 016 (CoRR, 2024)

Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation. - Yukun Jiang 001; Peiran Wang; Chengguo Lin; Ziyue Huang; Yong Cheng (CoRR, 2024)