Shenglai Zeng - RankMe

42 papers A* 6A 1Journal 26Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs. CoRR Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu
2026	J	`jnl`	Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Kai Guo, Xinnan Dai, Hui Liu, Jiliang Tang, Yi Chang
2025	J	`jnl`	Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG. CoRR Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang
2025	A*	`conf`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. EMNLP Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	J	`jnl`	Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. CoRR Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Yi Chang
2025	A*	`conf`	Empowering GraphRAG with Knowledge Filtering and Integration. EMNLP Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025	J	`jnl`	Empowering GraphRAG with Knowledge Filtering and Integration. CoRR Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025	J	`jnl`	GraphGhost: Tracing Structures Behind Large Language Models. CoRR Xinnan Dai, Kai Guo, Chung-Hsiang Lo, Shenglai Zeng, Jiayuan Ding, Dongsheng Luo, Subhabrata Mukherjee, Jiliang Tang
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR 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
2025	A*	`conf`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. EMNLP Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025	A*	`conf`	Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. CVPR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	—	`conf`	Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. ACL (1) Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu
2025	J	`jnl`	Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. CoRR Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu
2025	—	`conf`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. NAACL (Long Papers) Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025	J	`jnl`	Uncovering Graph Reasoning in Decoder-only Transformers with Circuit Tracing. CoRR Xinnan Dai, Chung-Hsiang Lo, Kai Guo, Shenglai Zeng, Dongsheng Luo, Jiliang Tang
2025	—	`conf`	Unveiling Mode Connectivity in Graph Neural Network. KDD (2) Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025	J	`jnl`	Unveiling Mode Connectivity in Graph Neural Networks. CoRR Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025	—	`conf`	Unveiling Privacy Risks in LLM Agent Memory. ACL (1) Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He
2025	J	`jnl`	Unveiling Privacy Risks in LLM Agent Memory. CoRR Bo Wang, Weiyi He, Pengfei He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang
2024	J	`jnl`	Copyright Protection in Generative AI: A Technical Perspective. CoRR Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	J	`jnl`	Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2024	—	`conf`	On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024	A*	`conf`	Sharpness-Aware Data Poisoning Attack. ICLR Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024	J	`jnl`	Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Stealthy Backdoor Attack via Confidence-driven Sampling. Trans. Mach. Learn. Res. Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	J	`jnl`	Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective. CoRR Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2024	—	`conf`	Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024	J	`jnl`	Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2023	J	`jnl`	Confidence-driven Sampling for Backdoor Attacks. CoRR Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou
2023	A*	`conf`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	J	`jnl`	HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. IEEE Trans. Cloud Comput. Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato
2023	A	`conf`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	On the Generalization of Training-based ChatGPT Detection Methods. CoRR Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2022	J	`jnl`	HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse. CoRR Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Niyato
2022	—	`conf`	Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. DASFAA (2) Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu
2022	J	`jnl`	Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. CoRR Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu