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Zhihong Chen
The first name is pronounced as /tsi hung/. I'm more than happy to accept any approximation, so please feel free to use your favorite variants/surrogates!
Cognita
Email: zhihongc DOT work AT gmail DOT com.
Github, Google Scholar
Projects & Papers / Teaching & Service / Awards
About
Hi, I was a postdoctoral researcher at Stanford University, working with Curtis Langlotz and Akshay Chaudhari on the intersection of AI for healthcare, vision-language, and large language models. Before that, I received my Ph.D. from The Chinese University of Hong Kong, Shenzhen, where I worked with Xiang Wan, Tsung-Hui Chang, Guanbin Li, and Benyou Wang. I was also a visiting student researcher at Stanford from July 2023 to July 2024. I finished my B.Eng. degree from Sun Yat-sen University in 2019.
News
- 09/2024: Two paper accepted to NeurIPS-2024: (i) one in main track (Topic: robustness in vision-language models) and (ii) one in D&B track (spotlight) (Topic: evaluating multimodal agents with board games).
Projects
- LLM Zoo: democratizing ChatGPT
Project Leader
[Website]
Publications
- Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, Zhihong Chen, Prayag Tiwari, Zhao Li, Jie Fu
ACM Computing Surveys 2023.
I am responsible for the content of multi-modality.
- HuatuoGPT, Towards Taming Language Model to Be a Doctor
Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, Haizhou Li
Findings of EMNLP 2023.
- Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Zhihong Chen*, Shizhe Diao*, Benyou Wang, Guanbin Li and Xiang Wan
ICCV 2023. - Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge
Zhihong Chen, Guanbin Li and Xiang Wan
ACMMM 2022. - Mapping medical image-text to a joint space via masked modeling
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan and Tsung-Hui Chang
Medical Image Analysis 2023. - Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan and Tsung-Hui Chang
MICCAI 2022.
- Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
Zhihong Chen*, Maya Varma*, Xiang Wan, Curtis P. Langlotz and Jean-Benoit Delbrouck*
ACL 2023. - Improving Radiology Summarization with Radiograph and Anatomy Prompts
Jinpeng Hu, Zhihong Chen, Yang Liu, Xiang Wan, and Tsung-Hui Chang
Findings of ACL 2023. - Cross-modal Memory Networks for Radiology Report Generation
Zhihong Chen, Yaling Shen, Yan Song and Xiang Wan
ACL 2021. - Generating Radiology Reports via Memory-driven Transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang and Xiang Wan
EMNLP 2020. - Hierarchical Attention Network for Image Captioning
Weixuan Wang, Zhihong Chen and Haifeng Hu
AAAI 2019.
- Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Zunnan Xu*, Zhihong Chen*, Yong Zhang, Yibing Song, Xiang Wan and Guanbin Li
ICCV 2023. - On the Difference of BERT-style and CLIP-style Text Encoders
Zhihong Chen*, Guiming Hardy Chen*, Shizhe Diao, Xiang Wan and Benyou Wang
Findings of ACL 2023. - Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
Zhihong Chen*, Ruifei Zhang*, Yibin Song, Xiang Wan and Guanbin Li
CVPR 2023.
- EASAL: Entity-Aware Subsequence-based Active Learning for Named Entity Recognition
Yang Liu, Jinpeng Hu, Zhihong Chen, Xiang Wan, and Tsung-Hui Chang
AAAI 2023. - A Simple yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, and Tsung-Hui Chang
AAAI 2023. - Graph Enhanced Contrastive Learning for Radiology Findings Summarization
Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan and Tsung-Hui Chang
ACL 2022. - Word Graph Guided Summarization for Radiology Findings
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan and Tsung-Hui Chang
Findings of ACL 2021.
Teaching
- Teaching Assistant, ERG2050 Introduction to Data Analytics, Spring 2021
- Teaching Assistant, MAT1001 Calculus, Fall 2020 (Outstanding TA Award)
- Teaching Assistant, STA2001 Probability and Statistics, Spring 2020
- Teaching Assistant, MAT1001 Calculus, Fall 2019
Service
- Reviewer: ACL (2021; 2022; 2023; 2024), EMNLP (2020; 2022; 2023), NAACL (2022; 2024), COLING (2020), ARR (2021; 2022; 2023), CVPR (2024), TMI (2023)
Awards
- Presidential Fellowship, 2019-2024
- MICCAI Student Travel Award, 2023
- Outstanding Teaching Assistant (TA) Award, 2021
- National Scholarship, 2018
Last update: 09/2024. Template credited to Tengyu Ma's and Danqi Chen's.