| 2026 | ACL | Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs' Hallucinations. | Xinyue Fang, Zhiliang Tian, Zhen Huang, Ziyi Pan, Zhihua Wen, Xi Wang, Quntian Fang, Dongsheng Li |
| 2026 | WWW | Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. | Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li |
| 2025 | AAAI | Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. | Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li |
| 2025 | ACL | AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. | Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li |
| 2025 | CogSci | Self-Persuasion: A Novel Cognitive Approach to Effective LLM Jailbreaking. | Zhenhua Wang, Wei Xie, Shuoyoucheng Ma, Xiaobing Sun, Baosheng Wang, Zhihua Wen, Enze Wang, Kai Chen |
| 2025 | ICA3PP | A Deep Reinforcement Learning Algorithm with Ordered Action Space for Budget-Aware Workflow Scheduling in Heterogeneous Clouds. | Yanfen Zhang, Longxin Zhang, Lili Du, Zhihua Wen, Buqing Cao, Sheng Lin, Jianguo Chen |
| 2025 | WWW | Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. | Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang |
| 2024 | ACL | Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. | Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li |
| 2024 | ACL | POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. | Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li |
| 2023 | ACL | GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. | Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, Dongsheng Li |
| 2023 | EMNLP | GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. | Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li |
| 2023 | ICONIP | Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. | Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang |
| 2023 | PRICAI | Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval. | Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang |
| 2022 | DASFAA | Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. | Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang |
| 2011 | WWW | Measuring a commercial content delivery network. | Sipat Triukose, Zhihua Wen, Michael Rabinovich |
| 2008 | SIGMETRICS | Network distance estimation with dynamic landmark triangles. | Zhihua Wen, Michael Rabinovich |
| 2007 | ISPASS | An Analysis of Performance Interference Effects in Virtual Environments. | Younggyun Koh, Rob C. Knauerhase, Paul Brett, Mic Bowman, Zhihua Wen, Calton Pu |
| 2007 | SIGMETRICS | Facilitating focused internet measurements. | Zhihua Wen, Sipat Triukose, Michael Rabinovich |
| 2006 | INFOCOM | DipZoom: The Internet Measurements Marketplace. | Michael Rabinovich, Sipat Triukose, Zhihua Wen, Limin Wang |