姓名：陈挺

职称：教授

电话：62797101

邮箱：tingchen@tsinghua.edu.cn

英文主页：http://timlab.cn

工作履历

讲师（遗传学），美国哈佛大学医学院（Harvard Medical School），美国, 1997-2000

教授（生命科学，计算机科学，数学），美国南加州大学（USC），美国，2000-2016

教授（计算机科学），清华大学，至 今

研究概况

陈挺教授现为清华大学计算机科学与技术系教授。同时在北京信息科学与技术国家研究中心任职，疑难重症和罕见病全国重点实验室PI。1988年保送进入清华大学计算机系学习，1993年获学士学位，1997年获美国纽约州立大学石溪分校（Stony Brook University）计算机科学博士学位。入职清华大学前是美国南加州大学（University of Southern California）生命科学系和计算机科学系正教授，曾经担任南加州大学计算生物学系主任。

陈挺教授长期研究大数据高效算法设计和人工智能，并应用于研究人类基因组、转录组和蛋白组的数据分析和功能预测，在疾病诊断、治疗、预防，复杂疾病的遗传学研究、医学信息处理等方面均取得了一系列重要的研究成果。主持及参与美国自然科学基金会（NSF）、美国国家卫生研究院（NIH）、中国自然科学基金（NSFC）等项目十余项。在Cell、Science、Nature Biomedical Engineering、Nature Communications、PNAS、npj Digital Medicine、Genome Biology、Nucleic Acid Research、PLoS Medicine等国际著名期刊，以及CVPR、ICLR、AAAI、KDD、IJCAI、RECOMB、ISMB、MICCAI等计算机会议发表学术论文180余篇，被引15000次（Google Scholar），其中39篇论文被引用超过100次。

入选世界前2%顶尖科学家榜单，2004年获得美国史隆基金会研究奖（Sloan Fellow）。

学术成果（近5年）

1. Chen X, Qiao Z*, Chen G, Su L, Zhang Z, Wang X, Xie P, Huang F, Zhou J, Jiang Y*, Chen T* (2026) Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis. International Conference on Learning Representations (ICLR 2026).

2. Zhang P, Han R, Kong X, Chen T*, and Ma J* (2026) SpecLig: Energy-Guided Hierarchical Model for Target-Specific 3D Ligand Design. Research in Computational Molecular Biology (RECOMB 2026).

3. Chen X, Ye J, Mao X, Wang L, Zhang S, Chen T* (2026) RAREAGENTS: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment. Association for the Advancement of Artificial Intelligence (AAAI 2026 Oral, top 4%)

4. Zhu, C., Wu, L., Ning, D. et al. (2025) Global diversity and distribution of antibiotic resistance genes in human wastewater treatment systems. Nature Communications 16, 4006 (2025). doi.org/10.1038/s41467-025-59019-3

5. Zhang P, Ma J*, and Chen T* (2025) Escaping the drug-bias trap: using debiasing design to improve interpretability and generalization of drug-target interaction prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. vol. 22, no. 4, pp. 1902-1911, July-Aug. 2025, doi: 10.1109/TCBBIO.2025.3576488.

6. Lv D, Guo Q, Lan B, Yi Z, Qiang H, Guan Y, Peng X, Chen T*, Ma F* (2025) Exploration of the clonal evolution and construction of the tumor clonal evolution rate as a prognostic indicator in metastatic breast cancer. BMC Medicine. 2025 Feb 25,23(1):122. doi: 10.1186/s12916-025-03959-6.

7. Luo L, Tang B, Chen X, Han R, Chen T* (2025) VividMed: Vision Language Model with Versatile Visual Grounding for Medicine. North American Chapter of the Association for Computational Linguistics (NAACL 2025).

8. Zhang P, Peng X, Han R, Chen T*, and Ma J* (2025) Rag2Mol: Structure-based drug design based on Retrieval Augmented Generation. (RECOMB 2025) Briefings in Bioinformatics. Volume 26, Issue 3, May 2025, bbaf265, https://doi.org/10.1093/bib/bbaf265.

9. Han R, Liu X, Pan T, Xu J, Wang X, Lan W, Li Z, Wang Z, Song J, Wang G, Chen T* (2025) CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction. Association for the Advancement of Artificial Intelligence (AAAI 2025 Oral, top 4%)

10. Han R, Huang W, Luo L, Han X, Shen J, Zhang Z, Zhou J, Chen T* (2025) HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning. Association for the Advancement of Artificial Intelligence (AAAI 2025).

11. Mao X, Huang Y, Jin Y, Wang L, et al., Zhang S* and Chen T* (2025) PhenoBrain: A Phenotype-Based AI Differential Diagnosis Pipeline Outperforms Human Experts in Diagnosing Rare Diseases Using EHRs. npj Digital Medicine. (2025) 8:68.

12. Zheng S, Gu Y, Gu Y, Zhao Y, Li L, Wang M, Jiang R, Yu X, Chen T* and Li J* (2025) Machine learning–enabled virtual screening indicates the anti-tuberculosis activity of aldoxorubicin and quarfloxin with verification by molecular docking, molecular dynamics simulations, and biological evaluations. Briefings in Bioinformatics, Volume 26, Issue 1, January 2025, bbae696, https://doi.org/10.1093/bib/bbae696

13. Li J, Gao Y, Shu G, Chen X, Zhu J, Zheng S, Chen T* (2024) HMicroDB: A Comprehensive Database of Herpetofaunal Microbiota with a Focus on Host Phylogeny, Physiological Traits, and Environment Factors. Molecular Ecology Resources. 15 November 2024 https://doi.org/10.1111/1755-0998.14046

14. Zou X, He W, Huang Y, et al, Chen T* (2024) AI-Driven Diagnostic Assistant: A Reinforcement Learning Approach to Medical Inquiry. J Med Internet Res. 2024,26:e54616, doi:10.2196/54616

15. Chen X, Mao X, Guo Q, Zhang S, Chen T* (2024) Rare Bench: Can LLM Serve as Rare Diseases Specialists? ACM Knowledge discovery in databases (KDD), 2024.

16. Chen W, Huang S, Chiang Y, Pearce T, Tu W, Chen T*, Zhu J* (2024) DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

17. Zhao L, Lin L, Teng W, Chen M, Zeng Y, Zheng L, Brand J, Chen T, Han B, Song L, Shu W, Gan N, Gong Y, and Li X (2023) The facilitating role of phycospheric heterotrophic bacteria in cyanobacterial phosphonate availability and Microcystis bloom maintenance. Microbiome. 11, 142 (2023). https://doi.org/10.1186/s40168-023-01582-2

18. Zhang X and Chen T* (2023) DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

19. Xu Y#, Zheng B#, Liu X, Wu T, Ju J, Wang S, Lian Y, Zhang H, Liang T, Sang Y, Jiang R, Wang G*, Ren J* and Chen T* (2023) Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames. Briefings in Bioinformatics. 2023, 24(1), 1–13. doi.org/10.1093/bib/bbac569.

20. Li W, Hu W, Chen T, Chen N, Feng C (2022) StackVAE-G: An efficient and interpretable model for time series anomaly detection. AI Open Volume 3, 2022, Pages 101-110.

21. Zhang X, Wu H, Chen T*, and Wang G* (2022) Automatic Diagnosis of Arrhythmia with Electrocardiogram Using Multiple Instance Learning: from Rhythm Annotation to Heartbeat Prediction. Artificial Intelligence In Medicine. 2022 Oct:132:102379. doi: 10.1016/j.artmed.2022.102379. Epub 2022 Aug 22.

22. He W and Chen T* (2022) Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. Proceeding of SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2022).

23. He W, Mao X, Ma C, Huang Y, Hernandez-Lobato J, and Chen T*(2022) BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. ACM Web Conference (WWW2022).

24. Xu Y, Liu X, Pan L, Mao X, Liang H*, Wang G*, Chen T* (2021) Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients with Suspected Central Precocious Puberty. IEEE Journal of Biomedical and Health Informatics (JBHI). 2021 Aug 13,PP. http://doi.org/10.1109/JBHI.2021.3103271

25. Zhang K*, Liu X, Xu J, Yuan J, Cai W, Chen T*, et al., Xu T*, Zhou Y*, Wang G* (2021) Deep learning models for the detection and incidence prediction of chronic kidney disease and type-2 diabetes from retinal fundus images. Nature Biomedical Engineering. 2021 Jun, 5(6): 533-545. https://doi.org/10.1038/s41551-021-00745-6.

26. Zhu C, Zhang J, Wang X, Yang Y, Chen N, Lu Z, Ge Q, Jiang R, Zhang X, Yang Y, and Chen T* (2021) Responses of cyanobacterial aggregate microbial communities to algal blooms. Water Research. 2021, 196: 117014. https://doi.org/10.1016/j.watres.2021.117014.

27. Wang G*, Liu X, Shen J, Li Z, Ye L, Wang C, Wu X, Chen T*, et al., Li W*, Zhang K*, Lin T* (2021) A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. Nature Biomedical Engineering. 2021 Jun, 5(6): 509-521. http://doi.org/10.1038/s41551-021-00704-1.

28. Yang Y, Wang X, Zhu C, Chen N and Chen T* (2021) kLDM: Inferring Multiple Metagenomic Association Networks based on the Variation of Environmental Factors. Genomics, Proteomics & Bioinformatics. 2021 Feb 16, S1672-0229 (21) 00020-6. https://doi.org/10.1016/j.gpb.2020.06.015.

29. Xie K, Liu Z, Chen N and Chen T* (2021) redPATH: Reconstructing the Pseudo Development Time of Cell Lineages in Single-Cell RNA-Seq Data and Applications in Cancer Genomics. Genomics, Proteomics & Bioinformatics. 2021 Feb 17, S1672-0229 (21) 00019-X. https://doi.org/10.1016/j.gpb.2020.06.014.

30. Gu J, Shi Y, Zhu Y, Chen N, Wang H, Zhang Z*, and Chen T*(2020) Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study. PLoS Medicine 17(8): e1003188. https://doi.org/10.1371/journal.pmed.1003188.

31. Zhang K, Liu X, Shen J, et al. (2020) Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements and Prognosis of COVID-19 Pneumonia Using Computed Tomography. Cell. http://doi.org/10.1016/j.cell.2020.04.045

32. Liu X, Wang K, Zhang K, Chen T, and Wang G* (2020) KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients. Medical image computing and computer assisted intervention (MICCAI 2020).

33. Wang K, Liu X, Zhang K, Chen T, and Wang G* (2020). Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks. Medical image computing and computer assisted intervention (MICCAI 2020).

34. Wang K, Chen X, Chen N and Chen T* (2020) Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding. International Joint Conferences on Artificial Intelligence (IJCAI 2020).

35. Huang S, Su H, Zhu J* and Chen T* (2020) SVQN: Sequential Variational Soft Q-Learning Networks. The International Conference on Learning Representations (ICLR 2020).

36. Wang K, Chen N and Chen T* (2020) Joint Medical Ontology Representation Learning for Healthcare Predictions. The International Joint Conference on Neural Networks (IJCNN 2020).

37. Gu J, Shi Y, Chen N, Wang H* and Chen T* (2020) Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.136896.

38. Xie K, Huang Y, Zeng F, Liu Z, Chen T*. (2020) scAIDE: Clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types. NAR Genomics and Bioinformatics. Volume 2, Issue 4, December 2020. https://doi.org/10.1093/nargab/lqaa082

39. Gu J, Shi Y, Zhu Y, Chen N, Wang H, Zhang Z*, and Chen T*(2020) Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study. PLoS Medicine 17(8): e1003188. https://doi.org/10.1371/journal.pmed.1003188.