Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Ruixuan Liu; Guangzhong Sun; Xing Xie 001 (EMNLP (1), 2021)

DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Qifei Li; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. - Yang Yu 038; Fangzhao Wu; Chuhan Wu; Jingwei Yi; Tao Qi; Qi Liu 003 (CoRR, 2021)

Effective and Efficient Query-aware Snippet Extraction for Web Search. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Xiaolong Huang; Binxing Jiao; Guangzhong Sun; Xing Xie 001 (EMNLP, 2022)

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. - Yang Yu 038; Fangzhao Wu; Chuhan Wu; Jingwei Yi; Qi Liu 003 (EMNLP, 2022)

UA-FedRec: Untargeted Attack on Federated News Recommendation. - Jingwei Yi; Fangzhao Wu; Bin Zhu 008; Yang Yu 038; Chao Zhang; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

Robust Quantity-Aware Aggregation for Federated Learning. - Jingwei Yi; Fangzhao Wu; Huishuai Zhang; Bin Zhu 008; Tao Qi; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. - Wenjun Peng; Jingwei Yi; Fangzhao Wu; Shangxi Wu; Bin Zhu 008; Lingjuan Lyu; Binxing Jiao; Tong Xu 001; Guangzhong Sun; Xing Xie 001 (ACL (1), 2023)

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. - Chao Zhang; Fangzhao Wu; Jingwei Yi; Derong Xu; Yang Yu 038; Jindong Wang 001; Yidong Wang; Tong Xu 001; Xing Xie 001; Enhong Chen (CIKM, 2023)

UA-FedRec: Untargeted Attack on Federated News Recommendation. - Jingwei Yi; Fangzhao Wu; Bin Zhu 008; Jing Yao; Zhulin Tao; Guangzhong Sun; Xing Xie 001 (KDD, 2023)

Control Risk for Potential Misuse of Artificial Intelligence in Science. - Jiyan He; Weitao Feng 001; Yaosen Min; Jingwei Yi; Kunsheng Tang; Shuai Li; Jie Zhang 073; Kejiang Chen; Wenbo Zhou; Xing Xie 001; Weiming Zhang 001; Nenghai Yu; et al. (CoRR, 2023)

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Keegan Hines; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (CoRR, 2023)

Defending ChatGPT against jailbreak attack via self-reminders. - Yueqi Xie; Jingwei Yi; Jiawei Shao; Justin Curl; Lingjuan Lyu; Qifeng Chen; Xing Xie 001; Fangzhao Wu (Nat. Mac. Intell., 2023)

On the Vulnerability of Safety Alignment in Open-Access LLMs. - Jingwei Yi; Rui Ye 001; Qisi Chen; Bin Zhu 008; Siheng Chen; Defu Lian; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (ACL (Findings), 2024)

Measuring Human Contribution in AI-Assisted Content Generation. - Yueqi Xie; Tao Qi; Jingwei Yi; Ryan Whalen; Junming Huang 001; Qian Ding; Yu Xie; Xing Xie 001; Fangzhao Wu (CoRR, 2024)

Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. - Yan Liu 002; Xiaoyuan Yi; Xiaokang Chen; Jing Yao; Jingwei Yi; Daoguang Zan; Zheng Liu 011; Xing Xie 001; Tsung-Yi Ho (CoRR, 2024)

Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (KDD (1), 2025)

ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language Models. - Jingwei Yi; Junhao Yin; Ju Xu; Peng Bao; Yongliang Wang; Wei Fan; Hao Wang (CoRR, 2025)