导师风采 Supervisor's Information

Dr. Ting Chen is currently National Qianren Professor of computer science at Tsinghua University. He is also a faculty member at the Institute for Artificial Intelligence and Beijing National Laboratory of Information Science and Technology.  He graduated from Tsinghua University in 1993 with B.E. in computer science and received his Ph.D. in computer science at Stony Brook University in 1997. He was a lecturer of genetics at Harvard Medical School until 2000. Later, he became an assistant, associate, and full professor of biological sciences and computer science at the University of Southern California (USC) before joining Tsinghua University.

His research interests are computational biology/bioinformatics, medical informatics, algorithms, and artificial intelligence. His current research topics include (1) medical data analysis and intelligent medicine, (2) diagnosis of rare diseases, (3) human genome and transcriptome data analysis, (4) human microbial interactions and functions. He has published over 140 papers, many in the top journals including Science, Cell, Nature Biomedical Engineering, PNAS, Nature Communications, Cell Systems, Genome Research, American Journal of Human Genetics, Genome Biology, and Nucleic Acid Research. His publications have been cited over 14,000 times (Google Scholar).

He received the Sloan Research Fellowship in 2004, given to the top young scientists in North America. He has advised 51 postdoctoral fellows, doctoral and master students.

陈挺教授任职清华大学计算机科学与技术系，人工智能研究院，北京信息科学与技术国家研究中心，清华数据科学院医疗健康大数据中心主任。陈挺教授1993年获清华大学计算机科学与技术学士学位，1997年获美国石溪大学（Stony Brook University）计算机科学博士学位。历任美国哈佛医学院（Harvard Medical School）遗传学讲师；美国南加州大学（University of Southern California）生命科学系，计算机科学系和数学系助理教授、副教授、正教授，曾经担任南加州大学计算生物学部主任（系主任）。 

陈挺教授长期研究大数据高效算法设计和机器学习，并应用于研究人类基因组、转录组、蛋白组、微生物组、医学信息。在蛋白质组学以及质谱仪数据处理、高通量测序数据处理、复杂疾病的遗传学研究、人工智能医疗大数据等方面均取得了一系列重要的研究成果。曾负责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。曾担任项美国自然科学基金（NSF），美国国家卫生研究院（NIH），美国能源部（DOE），加拿大国家科学与工程研究基金（NSERC），新加坡科技研究局（A-STAR），以色列科学基金（ISF），芬兰国家科学基金（Academy of Finland），台湾国科会，微软研究基金，中国自然科学基金（NSFC）重点项目的评委。在Science、Cell、Nature Biomedical Engineering、PNAS、Nature Communications、Cell Systems、Genome Research、Nucleic Acid Research、American Journal of Human Genetics、Genome Biology、PLoS Medicine等国际著名期刊发表学术论文140多篇，被引将近12000次（Google Scholar）。指导过博士研究生和博士后研究人员50多名。陈挺教授2004年获得美国史隆研究奖（Sloan Fellow）。

• Professor (Present), Department of Computer Science and Technology,  Tsinghua University, China.

• Professor,  Association Professor, Assistant Professor (2000-2016), Departments of Biological Sciences, Computer Science, and Mathematics, University of Southern California (USC), USA

• Lecturer (1997-2000), Department of Genetics, Harvard Medical School, USA.

• Guest Research Associate (1995-1998), Biology Department, Brookhaven National Laboratory, USA.

• Bioinformatics, Medical Informatics, Artificial Intelligence, Algorithm Design

• 生物信息，医学人工智能，人工智能，算法设计

2022

1.      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. https:/doi.org/10.1016/j.artmed.2022.102379.

2.      Han R, Liu X, and Chen T (2022) YOLO-SG: Salience-Guided Detection of Small Objects in Medical Images. IEEE International Conference on Image Processing (ICIP 2022).

3.      Huang S, Wang B, Li D, Hao J, Chen T, and Zhu J (2022) Ranking Cost: Building an Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization. 2nd International Workshop on Heuristic Search in Industry (HIS2022).

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

5.      Huang S, Yu C, Wang B, Li D, Wang Y, Chen T and Zhu J (2022) VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. IEEE Conference on Games (COG 2022).

6.      Chen X, Chen T* (2022) FOXM1 promotes malignant proliferation of esophageal squamous cell carcinoma through transcriptional activating CDC6. DNA and Cell Biology.

7.      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).

8.      Zhu C, Wang X, Li J, Jiang R, Chen H, Chen T*  and Yang Y* (2022) Determine independent gut microbiota diseases association by eliminating the effects of human lifestyle factors. BMC Microbiology. (2022) 22:4. https://doi.org/10.1186/s12866-021-02414-9.

2021

9.      Huang S, Chen W, Zhang L, Xu X, Li Z, Zhu F, Ye D, Chen T, Zhu J (2021) TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. NeurIPS 2021 Offline RL Workshop.

10.   Huang S, Wang B, Li D, Hao J, Zhu J* and Chen T* (2021) Off-policy Training for Truncated TD(lambda) Boosted Soft Actor-Critic. Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2021).

11.   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. DOI: 10.1109/JBHI.2021.3103271

12.   Wang K, Wang G, Zhang K and Chen T* (2021) An Adversarial Collaborative-learning Approach for Corneal Scar Segmentation wth Ocular Anterior Segment Photography. IEEE International Conference on Image Processing (ICIP 2021).

13.   Liu X, Wang K and Chen T* (2021) Deep Active Learning for Fibrosis Segmentation of Chest CT Scans from COVID-19 Patients. IEEE International Conference on Image Processing (ICIP 2021).

14.   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

15.   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.

16.   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. DOI: 10.1038/s41551-021-00704-1.

17.   Zhang H, Li X, Wu J, Zhang J, Huang H, Li Y, Li M, Wang S, Xia J, Qi L*, Chen T*, and Ao L* (2021) A qualitative transcriptional signature of recurrence risk for stageⅡ-Ⅲ gastric cancer patients after surgical resection. Journal of Gastroenterology and Hepatology. 2021 Sep; 36(9): 2501-2512. https://doi.org/10.1111/jgh.15439.

18.   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.

19.   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.

2020

20.   Xia J, Zhang H, Guan Q, Wang S, Li Y, Xie J, Li M, Huang H, Yan H*, Chen T* (2020) A qualitative diagnostic signature for pancreatic ductal adenocarcinoma based on the within-sample relative expression orderings. Journal of Gastroenterology and Hepatology. https://doi.org/10.1111/jgh.15326

21.   Zhang X and Chen T* (2020) Attention U-net for Interpretable Classification on Chest X-ray Image. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2020).

22.   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

23.   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

24.   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. DOI: 10.1016/j.cell.2020.04.045 

25.   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).

26.   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).

27.   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).

28.   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).

29.   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).

30.     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.

2019

31.     Wang G, Liu X, Xie K, Chen N and Chen T* (2019) DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019).

32.     Liu X, Wang G, Xu Y, Chen N and Chen T* (2019) Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS.  IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019).

33.     Wang K, Wang G, Chen N and Chen T* (2019) How Robust is Your Automatic Diagnosis Model? IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019).

34.     Huang S, Zhu J and Chen T* (2019) SVQN: Sequential Variational Soft Q-Learning Networks. ICCV-19 Workshop on Statistical Deep Learning in Computer Vision.

35.     Wang K, Zhang X, Zhong H and Chen T* (2019) Automatic Diagnosis with 12-lead ECG Signals. MLMECH-MICCAI 2019.

36.     Xu Z, Feng Y, Gan L, Min X, Chalant A, Chen N, Yu B, Chen T and Wang F* (2019) Double Core Memory Networks for Mortality Prediction using Multimodal Intensive Care Data. DSHealth 2019.

37.     Feng Y, Xu Z, Gan L, Chen L, Yu B, Chen T*, and Wang F* (2019) DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. IEEE International Conference on Data Mining (ICDM 2019).

38.     Zhu C, Zhang J, Guan R, Hale L, Zhou K, Chen N, Li M, Lu Z, Ge Q, Yang Y, Zhou J* and Chen T* (2019) Alternate succession of aggregate-forming cyanobacterial genera correlated with their attached bacteria by co-pathways. Science of the Total Environment. 688:867-879, 2019. https://doi.org/10.1016/j.scitotenv.2019.06.150

39.     Zhang X, Wang G, Chen N and Chen T* (2019)  Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection. IEEE International Conference on Healthcare Informatics (ICHI 2019).

40.     Cui H, Zeng J*, Chen T* (2019)  DeepShape: Estimating Isoform-Level Ribosome Abundance and Distribution with Ribo-seq data. the International Conference on Intelligent Biology and Medicine (ICIBM 2019). Best Paper Award.

41.     Zhu C, Zhang J, Nawaz M, Mahboob SZ, Al-Ghanim KA, Khan IA, Lu Z & Chen T* (2019) Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu. Science of the Total Environment. 669:29-40, 2019. https://doi.org/10.1016/j.scitotenv.2019.03.087

42.     Huang S, Su, H, Zhu J* and Chen T* (2019) Combo-Action: Training Agent for FPS Game with Auxiliary Tasks. Association for the Advancement of Artificial Intelligence (AAAI 2019).

43.     Yang Y, Wang X, Huang Y, Chen N, Shi J and Chen T* (2019)  Ontology-based venous Thromboembolism Risk Factors Mining and Model Developing from Medical Records.  BMC Medical Informatics and Decision Making. 2019, 19(Suppl 4):151. doi.org/10.1186/s12911-019-0856-2.

2004 Sloan Research Fellow