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ORCIDShenglai Zeng
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2020 – today
- 2025
[c13]Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu:
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. ACL (1) 2025: 10262-10276- [c12]Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He:
Unveiling Privacy Risks in LLM Agent Memory. ACL (1) 2025: 25241-25260 - [c11]Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. CVPR 2025: 28769-28778 - [c10]Bingheng Li
, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang:
Unveiling Mode Connectivity in Graph Neural Network. KDD (2) 2025: 1308-1317 - [c9]Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang:
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL (Long Papers) 2025: 2952-2969 - [i22]Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang:
Unveiling Mode Connectivity in Graph Neural Networks. CoRR abs/2502.12608 (2025) - [i21]Bo Wang, Weiyi He, Pengfei He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang:
Unveiling Privacy Risks in LLM Agent Memory. CoRR abs/2502.13172 (2025) - [i20]Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu:
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. CoRR abs/2502.14100 (2025) - [i19]Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang:
Empowering GraphRAG with Knowledge Filtering and Integration. CoRR abs/2503.13804 (2025) - [i18]Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang:
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR abs/2505.13957 (2025) - [i17]Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR abs/2506.00359 (2025) - [i16]Xinnan Dai, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang:
Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing. CoRR abs/2509.20336 (2025) - [i15]Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang:
Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG. CoRR abs/2509.25530 (2025) - [i14]Xinnan Dai, Kai Guo, Chung-Hsiang Lo, Shenglai Zeng, Jiayuan Ding, Dongsheng Luo, Subhabrata Mukherjee, Jiliang Tang:
GraphGhost: Tracing Structures Behind Large Language Models. CoRR abs/2510.08613 (2025) - 2024
- [j2]Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou:
Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. 2024 (2024) - [c8]Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin:
Exploring Memorization in Fine-tuned Language Models. ACL (1) 2024: 3917-3948 - [c7]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) 2024: 4505-4524 - [c6]Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang:
Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) 2024: 340-356 - [c5]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) 2024: 7223-7243 - [c4]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. ICLR 2024 - [i13]Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang:
Copyright Protection in Generative AI: A Technical Perspective. CoRR abs/2402.02333 (2024) - [i12]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR abs/2402.16893 (2024) - [i11]Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang:
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR abs/2403.11052 (2024) - [i10]Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang:
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR abs/2406.14773 (2024) - [i9]Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR abs/2406.14855 (2024) - [i8]Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang:
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. CoRR abs/2411.14572 (2024) - 2023
- [j1]Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato:
HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. IEEE Trans. Cloud Comput. 11(3): 3055-3069 (2023) - [c3]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS 2023 - [c2]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM 2023: 496-504 - [i7]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR abs/2303.02668 (2023) - [i6]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR abs/2306.10453 (2023) - [i5]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. CoRR abs/2310.01307 (2023) - [i4]Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou:
Confidence-driven Sampling for Backdoor Attacks. CoRR abs/2310.05263 (2023) - [i3]Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin:
Exploring Memorization in Fine-tuned Language Models. CoRR abs/2310.06714 (2023) - 2022
- [c1]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. DASFAA (2) 2022: 455-471 - [i2]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. CoRR abs/2201.12976 (2022) - [i1]Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato:
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse. CoRR abs/2211.03300 (2022)
Coauthor Index
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