| 2026 | AAAI | AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment. | Jinpeng Hu, Ao Wang, Qianqian Xie, Zhuo Li, Hui Ma, Dan Guo |
| 2026 | ACL | Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning. | Chongyuan Dai, Jinpeng Hu, Hongchang Shi, Zhuo Li, Dan Guo, Xun Yang, Meng Wang |
| 2026 | ACL | Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses. | Chongyuan Dai, Yaling Shen, Zihan Gao, Jia Li, Yishun Jiang, Yaxiong Wang, Liu Liu, Zongyuan Ge, Jinpeng Hu |
| 2026 | ACL | PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics. | Yaling Shen, Stephanie Fong, Yiwen Jiang, Zimu Wang, Feilong Tang, Qingyang Xu, Xiangyu Zhao, Zhongxing Xu, Jiahe Liu, Jinpeng Hu, Dominic Dwyer, Zongyuan Ge |
| 2026 | ACL | WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent. | Lingfeng Zhang, Yongan Sun, Jinpeng Hu, Hui Ma, Ying Yang, Kuien Liu, Zenglin Shi, Meng Wang |
| 2026 | WWW | From Social Media to Psychological Scale: An Adaptive Framework with Two-Hop Retrieval for Depression Screening. | Yangyang Xu, Jinpeng Hu, Peipei Song, Zhangling Duan, Xun Yang |
| 2025 | ACL | Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs. | Zhuo Li, Yuhao Du, Jinpeng Hu, Xiang Wan, Anningzhe Gao |
| 2025 | EMNLP | Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm. | Zhuo Li, Yuhao Du, Xiaoqi Jiao, Steven Y. Guo, Yuege Feng, Xiang Wan, Anningzhe Gao, Jinpeng Hu |
| 2025 | EMNLP | APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport. | Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao, Xiang Wan |
| 2025 | EMNLP | MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation. | Yangyang Xu, Jinpeng Hu, Zhuoer Zhao, Zhangling Duan, Xiao Sun, Xun Yang |
| 2025 | SMC | SIEP-YOLO: Small Target Cluster Detection in Aerial Images. | Peiyao Liu, Jun Wang, Jinpeng Hu, Huanyu Yang, Peng Zhu, Yuming Bo |
| 2023 | AAAI | A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. | Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | AAAI | EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition. | Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang |
| 2023 | ACL | Improving Grammatical Error Correction with Multimodal Feature Integration. | Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao, Tsung-Hui Chang |
| 2023 | ACL | Improving Radiology Summarization with Radiograph and Anatomy Prompts. | Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang |
| 2022 | ACL | Graph Enhanced Contrastive Learning for Radiology Findings Summarization. | Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang |
| 2022 | ACL | A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction. | Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang |
| 2022 | MICCAI | Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training. | Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang |
| 2022 | NAACL | Hero-Gang Neural Model For Named Entity Recognition. | Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang |
| 2022 | NAACL | A Label-Aware Autoregressive Framework for Cross-Domain NER. | Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan, Tsung-Hui Chang |
| 2022 | NAACL | Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction. | Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang |
| 2021 | ACL | Word Graph Guided Summarization for Radiology Findings. | Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang |