Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. - Shenglai Zeng; Zonghang Li; Hongfang Yu; Yihong He; Zenglin Xu; Dusit Niyato; Han Yu 001 (DASFAA (2), 2022)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. - Juanhui Li; Harry Shomer; Haitao Mao; Shenglai Zeng; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (NeurIPS, 2023)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. - Jiaqi Wang 002; Shenglai Zeng; Zewei Long; Yaqing Wang 001; Houping Xiao; Fenglong Ma (SDM, 2023)

Confidence-driven Sampling for Backdoor Attacks. - Pengfei He; Han Xu 002; Yue Xing 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (CoRR, 2023)

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. - Shenglai Zeng; Zonghang Li; Hongfang Yu; Zhihao Zhang; Long Luo; Bo Li 001; Dusit Niyato (IEEE Trans. Cloud Comput., 2023)

Exploring Memorization in Fine-tuned Language Models. - Shenglai Zeng; Yaxin Li 001; Jie Ren 019; Yiding Liu; Han Xu 002; Pengfei He; Yue Xing 002; Shuaiqiang Wang; Jiliang Tang; Dawei Yin (ACL (1), 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yiding Liu; Yue Xing 002; Han Xu 002; Jie Ren 019; Yi Chang 001; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (ACL (Findings), 2024)

Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. - Jie Ren 019; Yaxin Li 001; Shenglai Zeng; Han Xu 002; Lingjuan Lyu; Yue Xing 002; Jiliang Tang (ECCV (77), 2024)

On the Generalization of Training-based ChatGPT Detection Methods. - Han Xu 002; Jie Ren 019; Pengfei He; Shenglai Zeng; Yingqian Cui; Amy Liu; Hui Liu 031; Jiliang Tang (EMNLP (Findings), 2024)

Sharpness-Aware Data Poisoning Attack. - Pengfei He; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Hui Liu 031; Charu C. Aggarwal; Jiliang Tang (ICLR, 2024)

Copyright Protection in Generative AI: A Technical Perspective. - Jie Ren 019; Han Xu 002; Pengfei He; Yingqian Cui; Shenglai Zeng; Jiankun Zhang; Hongzhi Wen; Jiayuan Ding; Hui Liu 031; Yi Chang 001; Jiliang Tang (CoRR, 2024)

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. - Shenglai Zeng; Jiankun Zhang; Pengfei He; Jie Ren 019; Tianqi Zheng; Hanqing Lu; Han Xu 002; Hui Liu 031; Yue Xing 002; Jiliang Tang (CoRR, 2024)

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. - Jie Ren 019; Kangrui Chen; Yingqian Cui; Shenglai Zeng; Hui Liu 031; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CoRR, 2024)

Stealthy Backdoor Attack via Confidence-driven Sampling. - Pengfei He; Yue Xing 002; Han Xu 002; Jie Ren 019; Yingqian Cui; Shenglai Zeng; Jiliang Tang; Makoto Yamada; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2024)

Unveiling Privacy Risks in LLM Agent Memory. - Bo Wang 069; Weiyi He; Shenglai Zeng; Zhen Xiang; Yue Xing 002; Jiliang Tang; Pengfei He (ACL (1), 2025)

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. - Shenglai Zeng; Pengfei He; Kai Guo 003; Tianqi Zheng; Hanqing Lu; Yue Xing 002; Hui Liu 031 (ACL (1), 2025)

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. - Jie Ren 019; Kangrui Chen; Yingqian Cui; Shenglai Zeng; Hui Liu 003; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CVPR, 2025)

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. - Shenglai Zeng; Jiankun Zhang; Bingheng Li; Yuping Lin; Tianqi Zheng; Dante Everaert; Hanqing Lu; Hui Liu 031; Yue Xing 002; Monica Xiao Cheng; Jiliang Tang (NAACL (Long Papers), 2025)

Unveiling Mode Connectivity in Graph Neural Networks. - Bingheng Li; Zhikai Chen; Haoyu Han 001; Shenglai Zeng; Jingzhe Liu; Jiliang Tang (CoRR, 2025)

Empowering GraphRAG with Knowledge Filtering and Integration. - Kai Guo 003; Harry Shomer; Shenglai Zeng; Haoyu Han 001; Yu Wang 160; Jiliang Tang (CoRR, 2025)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. - Jiankun Zhang; Shenglai Zeng; Jie Ren 019; Tianqi Zheng; Hui Liu 031; Xianfeng Tang; Hui Liu 031; Yi Chang 001 (CoRR, 2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Shenglai Zeng; Hui Liu 031; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He 002; Charu C. Aggarwal; et al. (CoRR, 2025)