Hey, I am Jintai Chen, a tenure-track assistant professor at HKUST, guangzhou campus.
Prior to that, I am a postdoctoral researcher at the University of Illinois at Urbana-Champaign, where I collaborated closely with Prof. Jimeng Sun. I obtained my Ph.D. from the College of Computer Science and Technology at Zhejiang University, under the supervision of Prof. Jian Wu. My research interests lie at the intersection of AI and healthcare, with a particular focus on developing generalizable foundation models and generative models to address real-world medical challenges, including clinical trial optimization, biomedical discovery, clinical predictive modeling, and health monitoring.
I am actively seeking highly motivated Ph.D. students, research assistants, and postdoctoral researchers with strong backgrounds in computer science, statistics, or other related subjects. Proficiency in coding is required.
For Ph.D. applications, please fill out the form.
For research assistant applications, please fill out the form.
For postdoc applications, please email me directly at jtchen147[AT]gmail[DOT]com.
For MPhil students, please contact me after passing the interview with the school’s Red Bird MPhil committee.
📄 Selected Publications
(*: Equal contribution; $\dagger$: Corresponding author(s))
The full list can be accessed on Google Scholar.
I. Clinical Predictive Modelling
◦ Biosignal Processing
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[Nature Com.] Congenital Heart Disease Detection by Pediatric Electrocardiogram Based Deep Learning Integrated with Human Concepts, [Code], Jintai Chen$^*$, Shuai Huang$^*$, Ying Zhang$^*$, Qing Chang$^*$, Yixiao Zhang, Dantong Li, Jia Qiu, Lianting Hu, Xiaoting Peng, Yunmei Du, Yunfei Gao, Danny Chen, Abdelouahab Bellou$^\dagger$, Jian Wu$^\dagger$, Huiying Liang$^\dagger$, Nature Communications, 2024
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[IJCAI] Electrocardio panorama: Synthesizing new ECG views with self-supervision, [Code and Data], Jintai Chen$^*$, Xiangshang Zheng$^*$, Hongyun Yu$^*$, Danny Z. Chen, Jian Wu$^\dagger$, International Joint Conference on Artificial Intelligence, 2021
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[ICML] ME-GAN: Learning panoptic electrocardio representations for multi-view ECG synthesis conditioned on heart diseases, Jintai Chen$^*$, Kuanlun Liao$^*$, Kun Wei, Haochao Ying$^\dagger$, Danny Z Chen, Jian Wu, International Conference on Machine Learning, 2022
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[TCBB] Identifying electrocardiogram abnormalities using a handcrafted-rule-enhanced neural network, Yuexin Bian, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Danny Z. Chen, Jian Wu$^\dagger$, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022
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[IJCAI] Personalized Heart Disease Detection via ECG Digital Twin Generation, Yaojun Hu, Jintai Chen$^\dagger$, Lianting Hu, Dantong Li, Jiahuan Yan, Haochao Ying, Huiying Liang, Jian Wu, International Joint Conference on Artificial Intelligence, 2024
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ANYECG: Foundational Models for Electrocardiogram Analysis, Yue Wang$^*$, Xu Cao$^*$, Yaojun Hu, Haochao Ying, James Matthew Rehg, Jimeng Sun, Jian Wu, Jintai Chen$^\dagger$, Preprint, 2024
◦ Medical Image Analysis
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[MICCAI|Oral] TeleOR: Real-time Telemedicine System for Full-Scene Operating Room, Yixuan Wu$^*$, Kaiyuan Hu$^*$, Qian Shao, Jintai Chen$^\dagger$, Danny Z. Chen, and Jian Wu$^\dagger$, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
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[MICCAI] LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation, Jinhong Wang, Jintai Chen$^\dagger$, Danny Chen, Jian Wu$^\dagger$, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
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[MICCAI|Oral] Doctor Imitator: Hand-Radiography-based Bone Age Assessment by Imitating Scoring Methods, Jintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, and Jian Wu, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020
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[BIBM] Flow-Mixup: Classifying multi-labeled medical images with corrupted labels, Jintai Chen, Hongyun Yu, Ruiwei Feng, Danny Z Chen, Jian Wu$^\dagger$, International Conference on Bioinformatics and Biomedicine, 2020
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[TMI] Interactive few-shot learning: Limited supervision, better medical image segmentation, Ruiwei Feng$^*$, Xiangshang Zheng$^*$, Tianxiang Gao$^*$, Jintai Chen, Wenzhe Wang, Danny Z Chen, Jian Wu$^\dagger$, IEEE Transactions on Medical Imaging, 2021
- [MICCAI|Oral] OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation, Yixuan Wu, Bo Zheng, Jintai Chen, Danny Chen, and Jian Wu$^\dagger$, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022
◦ Multi-modal EHR Analysis
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[Info. Fusion] OmniFuse: A General Modality Fusion Framework for Multi-Modality Learning on Low-quality Medical Data, Yixuan Wua, Jintai Chen$^\dagger$, Lianting Hu, Hongxia Xu, Huiying Liang$^\dagger$, Jian Wu$^\dagger$, Information Fusion, 2024
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[EMNLP-F] Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification [Code], Jiahuan Yan, Haojun Gao, Zhang Kai, Weize Liu, Danny Chen, Jian Wu$^\dagger$, Jintai Chen$^\dagger$, Findings of Empirical Methods in Natural Language Processing, 2023
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[Info. Fusion] From Screens to Scenes: A Survey of Embodied AI in Healthcare, Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen$^\dagger$, Information Fusion, 2025
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[ICLR] Synergy learning with Small Models Promotes LLM zero-shot Medical Tabular Prediction, Jiahuan Yan, Jintai Chen$^\dagger$, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu, International Conference on Learning Representations, 2025
II. AI for Drug Development
◦ Protein and Drug Design
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[TOMM] TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model, Yue Wang$^*$, Tianfan Fu$^*$, Yinlong Xu, Zihan Ma, Hongxia Xu, Bang Du, Yingzhou Lu, Honghao Gao$^\dagger$, Jian Wu, Jintai Chen$^\dagger$, ACM Transactions on Multimedia Computing, Communications, and Applications, 2024
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[HDS] Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction, Yingzhou Lu, Tianyi Chen, Nan Hao, Capucine Van Rechem, Jintai Chen, Tianfan Fu$^\dagger$, Health Data Science, 2024
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[ACM BCB] ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning, Ling Yue, Sixue Xing, Jintai Chen, Tianfan Fu, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2024
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[ACM BCB] TrialEnroll: Predicting clinical trial enrollment success with deep & cross network and large language models, Ling Yue, Jintai Chen, Tianfan Fu, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2024
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TrialBench: Multi-modal artificial intelligence-ready clinical trial datasets, Jintai Chen$^*$, Yaojun Hu$^*$, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu$^\dagger$, Preprint, 2024
◦ Clinical Trial Design
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[AAAI|Oral] ProtCLIP: Function-Informed Protein Multi-Modal Learning, Hanjing Zhou$^*$, Mingze Yin$^*$, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen$^\dagger$, Jian Wu$^\dagger$, Zheng Wang$^\dagger$, AAAI Association for the Advancement of Artificial Intelligence, 2025
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[HDS] Multi-modal CLIP-informed protein editing, Mingze Yin$^*$, Hanjing Zhou$^*$, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou$^\dagger$, Jintai Chen$^\dagger$, Jian Wu$^\dagger$, Health Data Science, 2024
- S$^2$ALM: Sequence-Structure Pre-trained Large Language Model for Comprehensive Antibody Representation Learning, Mingze Yin$^*$, Hanjing Zhou$^*$, Jialu Wu, Yiheng Zhu, Yuxuan Zhan, Zitai Kong, Hongxia Xu, Chang-Yu Hsieh$^\dagger$, Jintai Chen$^\dagger$, Tingjun Hou$^\dagger$, and Jian Wu$^\dagger$, Preprint, 2024
III. General AI Methodology
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[CVPR] A hierarchical graph network for 3D object detection on point clouds, Jintai Chen$^*$, Biwen Lei$^*$, Qingyu Song$^*$, Haochao Ying, Danny Z Chen, Jian Wu$^\dagger$, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
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[ICLR|Spotlight] Making Pre-trained Language Models Great on Tabular Prediction [Code and Data], Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen, Jimeng Sun, Jian Wu$^\dagger$, Jintai Chen$^\dagger$, International Conference on Learning Representations, 2024
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[KDD|Oral] ExcelFormer: Can a Deep Learning Model be a Sure Bet for Tabular Prediction?, Jintai Chen$^*$, Jiahuan Yan$^*$, Qiyuan Chen, Danny Ziyi Chen, Jian Wu, Jimeng Sun$^\dagger$, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
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[AAAI|Oral] T2G-Former: Organizing tabular features into relation graphs promotes heterogeneous feature interaction [Code], Jiahuan Yan$^*$, Jintai Chen$^*$, Yixuan Wu, Danny Ziyi Chen, Jian Wu$^\dagger$, AAAI Association for the Advancement of Artificial Intelligence, 2023
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[AAAI] DANETs: Deep abstract networks for tabular data classification and regression [Code], Jintai Chen, Kuanlun Liao, Yao Wan, Danny Ziyi Chen, Jian Wu$^\dagger$, AAAI Association for the Advancement of Artificial Intelligence, 2022
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Scalable Autoregressive Monocular Depth Estimation, Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen$^\dagger$, Jian Wu$^\dagger$, Preprint, 2024
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[ICCV] Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction [Code], Jinhong Wang$^*$, Yi Cheng$^*$, Jintai Chen$^\dagger$, Tingting Chen, Danny Chen, Jian Wu$^\dagger$, IEEE/CVF International Conference on Computer Vision, 2023
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[ICLR] TabCaps: A capsule neural network for tabular data classification with BoW Routing[Code], Jintai Chen, Kuanlun Liao, Yanwen Fang, Danny Ziyi Chen, Jian Wu$^\dagger$, International Conference on Learning Representations, 2023
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[ICLR] Cross-layer retrospective retrieving via layer attention, Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li$^\dagger$, International Conference on Learning Representations, 2023
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[ICML] A receptor skeleton for capsule neural networks, Jintai Chen, Hongyun Yu, Chengde Qian, Danny Z. Chen, Jian Wu$^\dagger$, International Conference on Machine Learning, 2021
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[KDD|Oral] Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs, Jiahuan Yan, Jintai Chen$^\dagger$, Qianxing Wang, Danny Chen, Jian Wu, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
- Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data, Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun, Preprint, 2024
🎖 Awards
- 2023.04, Excellent Doctoral Graduates of Zhejiang Province, China (Top 1%)
- 2023.04, Excellent Doctoral Graduates of Zhejiang University (Top 1%)
- 2023.04, 产学研合作创新成果奖,浙江省产学研合作创新与促进奖
- 2023.02, 医学影像智能处理关键技术创新与应用, 产学研合作创新成果二等奖, 中国产学研合作促进会
- 2023.02, 科技进步二等奖,中国电子学会
- 2022.10, Huawei Fundamental Research Scholarship (Top 3%)
- 2021.10, Tencent Doctoral Scholarship (Top 1%)
- 2021.10, National Scholarship of China (Top 1%)
- 2020.10, Outstanding Doctoral Student Scholarship (Top 3%)
- 2019.10, Doctoral Freshman Scholarship (Top 3%)
- 2016.10, Chinese Bank Scholarship (Undergraduate) (Top 1%)
- 2015.10, National Scholarship (Undergraduate) (Top 1%)
💬 Talks
- 2024.12, Advanced Guidelines and Principles for Academic Writing, @International Campus of SCUT
- 2024.12, AI for Healthcare: New Perspectives and New Applications, @International Campus of SCUT
- 2024.11, From Single-Modality to Multi-Modality Learning: Shaping the Future of Digital Medicine, @ Datathon Challenge, Beijing
- 2022.11, How to Excel in AI-for-healthcare Researches, @ Shanghai University
- 2022.10, ECG Signal Processing and Synthesis for Computer-Aided Heart Disease Diagnosis, @ Carnegie Mellon University
- 2022.10, ECG Synthesis for New View and New Data, @ Shanghai AI Lab
- 2022.09, Part-Hierarchy Learning, @ ByteDance
- 2022.06, Supervised Tabular Learning, @ UberAI
- 2021.10, Domain Mixup for Distant Transfer Learning, @ Shanghai Jiaotong University
🏫 Courses
- AIAA1010 - Academic Orientation for Al Students (Spring 2025)
- AIAA6011B - Frontier of “AI for Healthcare” (Spring 2025)
- AIAA6101 - Artificial Intelligence Seminar (Spring 2025)
🔎 Professional Services
- Reviewer @ ML/AI/AI4H Conferences: NeurIPS, ICLR, ICML, KDD, AAAI, IJCAI, ACM MM, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, MICCAI, ISBI.
- Area Chair/Senior Program Chair: IJCAI;
- Review for Journals: TPAMI, TNNLS, TCBB, JBHI, Frontiers in Public Health, JBSM, TCDS, Frontiers in Genetics
- Guest Editor for Journals: JBHI, spj Health Data Science
- Executive Board Member of the Digital Medicine Symposium within the China Computer Federation
- Committee Member of the Computer Academy of Guangdong
- Committee Member of the Guangdong Respiratory and Health Association
- Workshop Organization: ICLR 2025 Workshop on AI for Children: Healthcare, Psychology, Education (AI4CHL) , Corresponding organizer, [website]