📄 Selected Publications

The full list can be accessed on Google Scholar. (*: Equal contribution; $\dagger$: Corresponding author(s))

AI for Medicine: Towards Multimodal and Individualized Diagnosis Support

[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
[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
[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

[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
[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

[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
[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

[ACM MM] GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels, Yixuan Wu, Jintai Chen$^\dagger$, Jiahuan Yan, Yiheng Zhu, Danny Chen, Jian Wu$^\dagger$, ACM International Conference on Multimedia, 2023

[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

[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

AI for Biomedical Science: Towards Drug Design and Therapeutic Science

[Nature Scientific Data] 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$^\dagger$, Nature Scientific Data, 2025
[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
[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

[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

Machine Learning Foundations

[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
[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
[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
[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
[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

[CVPR] Scalable Autoregressive Monocular Depth Estimation, Jinhong Wang, Jian Liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Danny Chen, Jintai Chen$^\dagger$, Jian Wu$^\dagger$, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
[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
[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
[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
[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