Junying Chen陈俊颖

Hello! 👋

I am a Ph.D. candidate in Computer Science at The Chinese University of Hong Kong, Shenzhen, advised by Prof. Benyou Wang. Prior to CUHKSZ, I earned my master's from Harbin Institute of Technology (Shenzhen), supervised by Prof. Qingcai Chen, and my bachelor's from Jinan University.

My research interests include Medical LLMs, Multimodal LLMs, and LLM Agents.

Find me on Google Scholar (3K+ citations), and GitHub (6K stars)!

Email: junying.chen.cs@gmail.com

Junying Chen
I'm exploring opportunities for 2027, when I expect to graduate, in both industry and academia.

Education

The Chinese University of Hong Kong, Shenzhen, Ph.D. 2023 – Present
GPA Rank: 1st / 24
Harbin Institute of Technology, Shenzhen, M.S. 2020 – 2023
GPA Rank: 1st / 111
Jinan University, B.S. 2016 – 2020
GPA Rank: 1st / 51

Impact

3KCitations (1.8K as first author)
6KGitHub stars
487KOpen-source model downloads
274KOpen-source dataset downloads

Publications

Selected (co-)first-author papers. * denotes equal contribution. Full list on Google Scholar.

Conference Papers
OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
Junying Chen*, Xinyuan Xie*, et al.
ICML 2026 (HuatuoGPT-3) [PDF][Code]
Incentivizing Medical Vision Capabilities from Large-Scale Multimodal Pre-training
Junying Chen, Zhenyang Cai, et al.
NeurIPS 2026 Oral (HuatuoGPT-Vision2)
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Junying Chen, Zhenyang Cai, et al.
ACL 2025 Findings [PDF][Code] 437 citations
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
Junying Chen, Chi Gui, et al.
EMNLP 2024 [PDF][Code] 314 citations
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
Junying Chen, Xidong Wang, et al.
COLM 2024 [PDF][Code] 183 citations
HuatuoGPT, Towards Taming Language Model to Be a Doctor
Hongbo Zhang*, Junying Chen*, Feng Jiang*, et al.
EMNLP 2023 Findings [PDF][Code] 557 citations
ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
Junying Chen*, Zhenyang Cai*, et al.
EMNLP 2026 Findings [PDF][Code]
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
Junying Chen*, Chi Gui*, et al.
ACL 2025 Findings [PDF][Code]
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
Zhenyang Cai*, Junying Chen*, Rongsheng Wang*, et al.
ACL 2025 [PDF][Code]
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
Wanlong Liu*, Junying Chen*, et al.
EMNLP 2025 [PDF][Code]
Benchmarking LLMs on Authentic Cases from Medical Journals
Wanlong Liu*, Junying Chen*, Yunjin Yang*, et al.
ACL 2026 Findings [PDF]
LLMs Could Autonomously Learn Without External Supervision
Ke Ji*, Junying Chen*, et al.
ACL 2025 Findings [PDF][Code]
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen*, Dongfang Li*, et al.
AAAI 2022 [PDF][Code]
Preprints
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Junying Chen*, Zhenyang Cai*, Pengcheng Chen*, Shunian Chen*, et al.
Preprint 2025 [PDF][Code]
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
Rongsheng Wang*, Junying Chen*, et al.
Preprint 2025 [PDF][Code]
Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People
Xidong Wang*, Nuo Chen*, Junying Chen*, et al.
Preprint 2024 [PDF][Code]
SeDR: Segment Representation Learning for Long Documents Dense Retrieval
Junying Chen, Qingcai Chen, et al.
Preprint 2022 [PDF][Code]

Experience

Tencent Hunyuan, Research Intern Qingyun Program Jul 2026 – Sep 2026
Foundation Model Department (LLM)

Academic Service

Awards