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.

Research Interests

Multimodal Affective Computing, Multimodal, AI in Mental Health, Large Language Model, Summarization, Named Entity Recognition, and Natural Language Processing

News

• three papers are accepted to EMNLP 2025
• one paper is accepted to ACMMM 2025
• one paper is accepted to TCSS 2024
• two papers are accepted to ACL 2023
• two papers are accepted to AAAI 2023
• three papers are accepted to NAACL 2022
• two papers are accepted to ACL 2022
• one paper are accepted to ACL 2021

Project

PsycoLLM [project]

Psyche-R1 Psyche-R1 is a Chinese psychological reasoning LLM that unifies empathy, expertise, and reasoning capabilities. [project]

Publications

• Improving Radiology Summarization with Radiograph and Anatomy Prompts [pdf]
  Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan and Tsung-Hui Chang
  Findings of ACL 2023

• Improving Grammatical Error Correction with Multimodal Feature Integration. [pdf]
  Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao and Tsung-Hui Chang
  Findings of ACL 2023

• A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER [pdf]
  Jinpeng Hu, DanDan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang
  AAAI 2023

• EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition [pdf]
  Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan and Tsung-Hui Chang
  AAAI 2023

• Hero-Gang Neural Model For Named Entity Recognition [pdf]
  Jinpeng Hu, Yaling Shen, Yang Liu, Xiang Wan and Tsung-Hui Chang
  NAACL 2022

• Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training [pdf]
  Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan and Tsung-Hui Chang
  MICCAI 2022

• A Label-Aware Autoregressive Framework for Cross-Domain NER [pdf]
  Jinpeng Hu, He Zhao, Dan Guo, Xiang Wan and Tsung-Hui Chang
  Findings of NAACL 2022

• Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction [pdf]
  Yang Liu, Jinpeng Hu, Xiang Wan and Tsung-Hui Chang
  Findings of NAACL 2022

• Graph Enhanced Contrastive Learning for Radiology Findings Summarization [pdf]
  Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan and Tsung-Hui Chang
  ACL 2022

• A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction [pdf]
  Yang Liu, Jinpeng Hu, Xiang Wan and Tsung-Hui Chang
  Findings of ACL 2022

• Word Graph Guided Summarization for Radiology Findings [pdf]
  Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan and Tsung-Hui Chang
  Findings of ACL 2021