Adversarial Attack against Cross-lingual Knowledge Graph Alignment. - Zeru Zhang; Zijie Zhang 001; Yang Zhou 001; Lingfei Wu 001; Sixing Wu; Xiaoying Han; Dejing Dou; Tianshi Che; Da Yan 001 (EMNLP (1), 2021)

Integrated Defense for Resilient Graph Matching. - Jiaxiang Ren 001; Zijie Zhang 001; Jiayin Jin; Xin Zhao; Sixing Wu; Yang Zhou 001; Yelong Shen; Tianshi Che; Ruoming Jin; Dejing Dou (ICML, 2021)

Federated Fingerprint Learning with Heterogeneous Architectures. - Tianshi Che; Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Ji Liu 003; Zhe Jiang 001; Da Yan 001; Ruoming Jin; Dejing Dou (ICDM, 2022)

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. - Zijie Zhang 001; Yang Zhou 001; Xin Zhao; Tianshi Che; Lingjuan Lyu (NeurIPS, 2022)

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. - Tianshi Che; Ji Liu 003; Yang Zhou 001; Jiaxiang Ren 001; Jiwen Zhou; Victor S. Sheng; Huaiyu Dai; Dejing Dou (EMNLP, 2023)

Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation. - Sixing Wu; Jiong Yu; Tianshi Che; Yang Zhou 001; Wei Zhou 011 (EMNLP (Findings), 2023)

Fast Federated Machine Unlearning with Nonlinear Functional Theory. - Tianshi Che; Yang Zhou 001; Zijie Zhang 001; Lingjuan Lyu; Ji Liu 003; Da Yan 001; Dejing Dou; Jun Huan (ICML, 2023)

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. - Ji Liu 003; Juncheng Jia; Tianshi Che; Chao Huo; Jiaxiang Ren 001; Yang Zhou 001; Huaiyu Dai; Dejing Dou (AAAI, 2024)

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. - Ji Liu 003; Tianshi Che; Yang Zhou 001; Ruoming Jin; Huaiyu Dai; Dejing Dou; Patrick Valduriez (SDM, 2024)