| 2025 | EMNLP | Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation. | Sheng Liang, Hang Lv, Zhihao Wen, Yaxiong Wu, Yongyue Zhang, Hao Wang, Yong Li |
| 2025 | WWW | Few-shot LLM Synthetic Data with Distribution Matching. | Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong |
| 2024 | ACL | SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. | Zhihao Wen, Jie Zhang, Yuan Fang |
| 2024 | CSCWD | Visible Light Secure Communication Method for Internet of Vehicles. | Caipeng Gu, Jijing Cai, Zhihao Wen, Jiefan Qiu, Wei Wang, Meilei Lv, Kai Fang |
| 2024 | WSDM | TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models. | Yuyan Chen, Jin Zhao, Zhihao Wen, Zhixu Li, Yanghua Xiao |
| 2023 | CIKM | Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. | Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao |
| 2023 | CIKM | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. | Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao |
| 2023 | EMNLP | MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. | Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao |
| 2023 | SIGIR | Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. | Zhihao Wen, Yuan Fang |
| 2023 | WSDM | Generalizing Graph Neural Network across Graphs and Time. | Zhihao Wen |
| 2022 | WWW | TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. | Zhihao Wen, Yuan Fang |
| 2021 | SIGIR | Meta-Inductive Node Classification across Graphs. | Zhihao Wen, Yuan Fang, Zemin Liu |