Shenglai Zeng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs. | 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 |
| 2025 | ACL | Unveiling Privacy Risks in LLM Agent Memory. | Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He |
| 2025 | ACL | Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. | Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu |
| 2025 | CVPR | Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. | Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu |
| 2025 | EMNLP | Empowering GraphRAG with Knowledge Filtering and Integration. | Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang |
| 2025 | EMNLP | Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. | Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang |
| 2025 | EMNLP | Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation. | Jiankun Zhang, Shenglai Zeng, Jie Ren, Tianqi Zheng, Hui Liu, Xianfeng Tang, Hui Liu, Yi Chang |
| 2025 | KDD | Unveiling Mode Connectivity in Graph Neural Network. | Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang |
| 2025 | NAACL | 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, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang |
| 2024 | ACL | Exploring Memorization in Fine-tuned Language Models. | Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin |
| 2024 | ACL | The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). | Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | ECCV | Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. | Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang |
| 2024 | EMNLP | On the Generalization of Training-based ChatGPT Detection Methods. | Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang |
| 2024 | ICLR | Sharpness-Aware Data Poisoning Attack. | Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2023 | SDM | Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. | Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma |
| 2022 | DASFAA | Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. | Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu |