Su, Lu

7 publications

ICLR 2025 Towards Federated RLHF with Aggregated Client Preference for LLMs Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao

NeurIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao

ICLR 2024 Towards Poisoning Fair Representations Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

CVPRW 2023 Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan, Yunsheng Ma, Lu Su, Ziran Wang

AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

IJCAI 2019 Data Poisoning Attack Against Knowledge Graph Embedding Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

IJCAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang