个人简介
胡金鹏，男，博士，于2023年11月入职合肥工业大学，黄山学者学术骨干，副教授，硕士生导师。以第一作者在ACL、AAAI、NAACL等顶级自然语言处理及人工智能会议上发表多篇文章，担任ACL ARR Area Chair以及多个顶会reviewer。中文信息学会情感计算专委会委员，CSIG情感计算专委会委员。
个人主页：https://jinpeng01.github.io。
本团队隶属于汪萌教授和洪日昌教授所领导的媒体计算实验室（Laboratory of Multimedia Computing, LMC），常年招收硕士研究生及本科生，本人主要从事自然语言处理、大语言模型、具身智能、医疗信息处理、多模态等研究方向。招生方向：计算机相关专业（计算机科学、人工智能、软件工程等）。欢迎对科研有浓厚兴趣，具有较强的主观能动性和自驱力的学生与我联系。
欢迎考研学生、保研学生联系以及面谈，也非常欢迎对科研以及大创等比赛有兴趣的本科生加入团队学习。
教育经历
2013.09至2017.07（本科） 哈尔滨工业大学 计算机科学与技术
2017.09至2019.07（硕士） 哈尔滨工业大学 计算机科学与技术
2019.09至2023.08（博士）香港中文大学（深圳）计算机与信息工程
主要工作
2026.09 一篇文章被EMNLP 2026 Findings接收
2026.04 ACL 2026 发表4篇，Psyche-R1文章被接收
2026.03 胡金鹏老师担任ACL ARR March Area Chairs (AC)
2026.01 WWW26发表1篇论文（oral），关于社交媒体的抑郁症诊断
2025.12 胡金鹏老师担任ACL ARR Area Chair (AC)
2025.11 AAAI 发表论文一篇，关于多智能体心理评估
2025.09 团队发布心理推理大模型，集共情、知识、推理于一体，https://github.com/MindIntLab-HFUT/Psyche-R1，欢迎大家使用
2025.08 EMNLP 2025发表3篇论文，分别关于数据选择、多智能体的情感支持对话、reward model
2025.07 ACM MM25发表1篇论文，关于多模态情感推理MTMEUR和多智能体
2025.06 团队戴崇远同学主持的心理推理大模型项目获批国家级大创项目
2024.12 团队心理大模型psycoLLM被TCSS接收，https://github.com/MindIntLab-HFUT/PsycoLLM，欢迎大家使用
2024.09 胡金鹏老师获批国家自然科学基金青年项目1项
发表论文
Jinpeng Hu, Hongchang Shi, Chongyuan Dai, Zhuo Li, Peipei Song, and Meng Wang. "Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark." In Proceedings of the 33rd ACM International Conference on Multimedia, pp. 5814-5823. 2025.
Yangyang Xu, Jinpeng Hu*, Peipei Song, Zhangling Duan, and Xun Yang. "From Social Media to Psychological Scale: An Adaptive Framework with Two-Hop Retrieval for Depression Screening." In Proceedings of the ACM Web Conference 2026, pp. 4817-4828. 2026.
Jinpeng Hu, Ao Wang, Qianqian Xie, Zhuo Li, Hui Ma, and Dan Guo. "AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 37, pp. 31050-31058. 2026.
Chongyuan Dai, Jinpeng Hu*, Hongchang Shi, Zhuo Li, Dan Guo, Xun Yang, and Meng Wang. "Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning." In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 24889-24906. 2026.
Yangyang Xu, Jinpeng Hu*, Zhuoer Zhao, Zhangling Duan, Xiao Sun, and Xun Yang. "MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation." In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 4665-4681. 2025.
Chongyuan Dai, Yaling Shen, Zihan Gao, Jia Li, Yishun Jiang, Yaxiong Wang, Liu Liu, Zongyuan Ge, and Jinpeng Hu*. "Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses." In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 38171-38196. 2026.
Yaling Shen, Stephanie Fong, Yiwen Jiang, Zimu Wang, Feilong Tang, Qingyang Xu, Xiangyu Zhao, Zhongxing Xu, Jiahe Liu, Jinpeng Hu*, Dominic Dwyer, and Zongyuan Ge. "PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics." In Findings of the Association for Computational Linguistics: ACL 2026, pp. 39571-39589. 2026.
Jinpeng Hu, Tengteng Dong, Luo Gang, Hui Ma, Peng Zou, Xiao Sun, Dan Guo, Xun Yang, and Meng Wang. "Psycollm: Enhancing llm for psychological understanding and evaluation." IEEE Transactions on Computational Social Systems (2024).
Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, and Tsung-Hui Chang. "A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER." AAAI 2023
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, and Tsung-Hui Chang. "Improving Radiology Summarization with Radiograph and Anatomy Prompts" Findings of ACL2023
Fang Tao *, Jinpeng Hu *, Derek F. Wong, Xiang Wan, Lidia S. Chao, and Tsung-Hui Chang. "Improving grammatical error correction with multimodal feature integration." Findings of ACL2023
Jinpeng Hu *, Zhuo Li *, Zhihong Chen, Zhen Li, Xiang Wan, and Tsung-Hui Chang. "Graph Enhanced Contrastive Learning for Radiology Findings Summarization." ACL 2022.
Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, and Tsung-Hui Chang. "Hero-Gang Neural Model For Named Entity Recognition." NAACL 2022.
Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan, and Tsung-Hui Chang. "A Label-Aware Autoregressive Framework for Cross-Domain NER." Findings of NAACL 2022
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, and Tsung-Hui Chang. "Word Graph Guided Summarization for Radiology Findings." Findings of ACL-IJCNLP 2021
Yang Liu, Jinpeng Hu#, Zhihong Chen, Xiang Wan#, and Tsung-Hui Chang. "EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition." AAAI 2023
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, and Tsung-Hui Chang. "Mapping medical image-text to a joint space via masked modeling." Medical Image Analysis 91 (2024): 103018.
Yang Liu, Jinpeng Hu, Xiang Wan, and Tsung-Hui Chang. "A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction." Findings of ACL 2022
Yang Liu, Jinpeng Hu, Xiang Wan, and Tsung-Hui Chang. " Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction." Findings of NAACL 2022
Chen, Zhihong, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, and Tsung-Hui Chang. "Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training." MICCAI 2022.
Jia Su, Jinpeng Hu, Jinchi Jiang, Jing Xie, Bin He, Yang Yang and Yi Guan, " Extraction of risk factors for cardiovascular diseases from Chinese electronic medical records". Computer Methods and Programs in Biomedicine, 172, 1-10, Aug.2019.