About Me
I am an Associate Professor at Hefei University of Technology. I obtained my Ph.D. from The Chinese University of Hong Kong, Shenzhen, supervised by Prof. Xiang Wan and Prof. Tsung-Hui Chang. Before that, I received a master’s degree in Computer Science and Technology from Harbin Institute of Technology, supervised by Prof. Yi Guan.
My research interests include Multimodal Affective Computing, AI in Mental Health, Large Language Models, Summarization, Named Entity Recognition, and Natural Language Processing.
🔥 News
- [2026.05] 🎉 Four papers accepted to ACL 2026!
- [2026.03] 🎉 One paper accepted to WWW 2026 (oral)!
- [2026.01] 🎉 One paper accepted to AAAI 2026!
- [2025.09] 🎉 Three papers accepted to EMNLP 2025!
- [2025.07] 🎉 One paper accepted to ACM MM 2025!
- [2024] One paper accepted to TCSS 2024!
- [2023] Two papers accepted to ACL 2023!
- [2023] Two papers accepted to AAAI 2023!
- [2022] Three papers accepted to NAACL 2022!
- [2022] Two papers accepted to ACL 2022!
- [2021] One paper accepted to ACL 2021!
🚀 Projects
- PsycoLLM — LLM for psychological understanding and evaluation. [GitHub]
- Psyche-R1 — Chinese psychological reasoning LLM. [GitHub]
📝 Publications
* denotes corresponding author.
2026
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, et al.
Findings of ACL 2026
[PDF]
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
WWW 2026 (oral)
[PDF]
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
AAAI 2026
[PDF]
2025
Beyond Emotion Recognition: A Multi-Turn Multimodal Emotion Understanding and Reasoning Benchmark
Jinpeng Hu, Hongchang Shi, Chongyuan Dai, Zhuo Li, Peipei Song, Meng Wang
ACM MM 2025
[PDF]
2024
PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation
Jinpeng Hu, Tengteng Dong, Gang Luo, Hui Ma, Peng Zou, Xiao Sun, Dan Guo, Xun Yang, Meng Wang
IEEE Transactions on Computational Social Systems, 2024
[PDF]
2023
Improving Radiology Summarization with Radiograph and Anatomy Prompts
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, Tsung-Hui Chang
Findings of ACL 2023
[PDF]
Improving Grammatical Error Correction with Multimodal Feature Integration
Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao, Tsung-Hui Chang
Findings of ACL 2023
[PDF]
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
AAAI 2023
[PDF]
EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition
Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, Tsung-Hui Chang
AAAI 2023
[PDF]
2022
Hero-Gang Neural Model For Named Entity Recognition
Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan, Tsung-Hui Chang
NAACL 2022
[PDF]
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
MICCAI 2022
[PDF]
A Label-Aware Autoregressive Framework for Cross-Domain NER
Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan, Tsung-Hui Chang
Findings of NAACL 2022
[PDF]
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction
Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang
Findings of NAACL 2022
[PDF]
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang
ACL 2022
[PDF]
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
Yang Liu, Jinpeng Hu, Xiang Wan, Tsung-Hui Chang
Findings of ACL 2022
[PDF]
2021
Word Graph Guided Summarization for Radiology Findings
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, Tsung-Hui Chang
Findings of ACL 2021
[PDF]
🏫 Education
- 2019.09 - 2023.06, Ph.D. in Computer Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)
- Supervised by Prof. Xiang Wan and Prof. Tsung-Hui Chang
- 2016.09 - 2019.06, M.Sc. in Computer Science and Technology, Harbin Institute of Technology (HIT)
- Supervised by Prof. Yi Guan
📣 Services
- Reviewer for ACL, EMNLP, NAACL, AAAI, ACM MM, IEEE TCSS, etc.
💼 Positions
- 2023.07 - Now, Associate Professor, School of Computer Science and Information Engineering, Hefei University of Technology (HFUT)