简要履历

北京大学科学智能(AI for Science, AI4S)中心主任。分别在台湾大学，麻省理工学院，哈佛大学学习和工作。曾任麻省理工学院博士后、研究员，哈佛大学研究员、匹兹堡大学教授、北京大学客座教授、浙江大学光彪讲座教授、中山大学智能工程学院智能医疗中心主任教授。从事人工智能在药物、医学、化学、生物上的研究，累计发表Nature 子刊、Cell子刊等期刊和会议论文300余篇。累计被引9800余次，H因子为51。在2020-2023年入选Elsevier中国高被引学者榜单（计算机学与技术领域）。 2021-2023年入选了全球学者学术影响力排行榜，2018-2023年入选了全球World’s Top 2% Scientists。

AI＋X实验室简介: 利用人工智能技术在科学上的应用。

人才培养：注重算法和编程和科学的交叉专业技能

对研究生的期待：如果您探讨科学时，眼睛有光，请您来找我就對了!

主要研究方向：

AI for Science、图像视频处理、自然语言处理、元宇宙数字人

2004   Best Teaching Award

2007   Young Scholar Award, Biochemical Engineering

2008   Outstanding research Award

2009   Outstanding research Award

2009   MIT 100 international young innovator awards

2010   She Yan-Ping Best Paper Award

2012   Best paper from MIT Koch Institute

2013   MIT Young Scientist Award  

2014   Outstanding research Award

2015   Best Teaching Award

2016   Best Teaching Award

  详细论文请参考  https://orcid.org/0000-0001-9213-9832

Recent Years Referee Papers

1. Guanxing Chen^#, Haohuai He^#, Lu Zhao^#, Qiujie Lv, Calvin Yu-Chian Chen*, GINCM-DTA: a graph isomorphic network with protein contact map representation for possible against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16, Expert Systems with Applications, 2024, 236, 121274 (中科院一区, 中科院Top, IF: 8.665)

2. Yiyang Yin; Shuangling Luo; Jun Zhou; Liang Kang, Calvin Yu-Chian Chen*, LDCNet: Lightweight dynamic convolution network for laparoscopic procedures image segmentation, Neural Networks, 2024, 170, 441-452 (中科院一区, 中科院Top,, IF: 7.8)

3. Lu Zhao, Zhuojian Li, Guanxing Chen, Yiyang Yin, Calvin Yu-Chian Chen*, Multi-Perspective Neural Network for Dual Drug Repurposing in Alzheimer’s Disease, Knowledge-Based Systems. 2024, 263, 111195 (中科院一区, 中科院Top, IF: 8.8)

4. Qiujie Lv; Guanxing Chen; Haohuai He; Ziduo Yang; Lu Zhao; Hsin-Yi Chen, Calvin Yu-Chian Chen*, TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining, Chemical Science, 2023, 13, 8693 - 8703 (中科院一区, 中科院Top, IF: 9.969, 26 / 398)

5. Xuedong He, Calvin Yu-Chian Chen*, Attention Fusion and Target-Uncertain Detection for Discriminative Tracking， Knowledge-Based Systems. 2023, 278, 110860 (中科院一区, 中科院Top, IF: 8.8)

6. Xuedong He, Calvin Yu-Chian Chen*, Color Attention Encoding and Score Matching for Visual Tracking Computer Vision and Image Understanding，Expert Systems with Applications. 2023, 278, 110860 (中科院一区, 中科院Top, IF: 8.665)

7. Qiujie Lv, Jun Zhou, Ziduo Yang, Haohuai He, Calvin Yu-Chian Chen*, 3D Graph Neural Network with Few-Shot Learning for Predicting Drug-Drug Interactions in Scaffold-based Cold Start Scenarios, Neural Networks, 2023, 165, 94-105 (中科院一区, 中科院Top, IF: 9.657)

8. Weihe Zhong#, Ziduo Yang#, Calvin Yu-Chian Chen*, Retrosynthesis prediction using an end-to-end graph neural network for molecular graph editing, Nature Communications, 2023, 14, 3009 (中科院一区, 中科院Top, IF:17.3134)

9. Qiujie Lv, Guanxing Chen, Haohuai He, Ziduo Yang, Lu Zhao, Kang Zhang, Calvin Yu-Chian Chen*, TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction, Signal Transduction and Targeted Therapy, 2023, 8, 127 (中科院一区, 中科院Top, IF: 39.3)

10. Qiujie Lv, Calvin Yu-Chian Chen*, Meta Learning with Graph Attention Networks for Low Data Drug Discovery, IEEE Transactions on Neural Networks and Learning Systems. 2023, https://doi.org/10.1109/TNNLS.2023.3250324 (中科院一区, 中科院Top, IF: 14.225)

11. Xuedong He, Calvin Yu-Chian Chen*, Enhancing Discriminative Appearance Model for Visual Tracking，Expert Systems With Applications, 2023, 219, 119670 (中科院一区, 中科院Top, IF: 8.665)

12. Zhenchao Tang, Guanxing Chen, Hualin Yang, Weihe Zhong, Calvin Yu-Chian Chen*, DSIL-DDI: a domain-invariant substructure interaction learning for generalizable drug-drug interaction prediction, IEEE Transactions on Neural Networks and Learning Systems. 2023, https://doi.org/ 10.1109/TNNLS.2023.3242656 (中科院一区, 中科院Top, IF: 14.225)

13. Jun Zhou, Qiujie Lv, Calvin Yu-Chian Chen*, Dynamic Concept-Aware Network for Few-Shot Learning, Knowledge-Based Systems. 2022, 258, 110045 (中科院一区, Top, IF: 8.1388)

14. Guanxing Chen, Xuefei Jiang, Qiujie Lv, Xiaojun Tan, Zihuan Yang, Calvin Yu-Chian Chen*, VAERHNN: voting-averaged ensemble regression and hybrid neural network to investigate potent leads against colorectal cancer, Knowledge-Based Systems. 2022, 257，109925 (中科院一区, 中科院Top, IF: 8.1388)

15. Ziduo Yang^#, Weihe Zhong^#, Qiujie Lv, Calvin Yu-Chian Chen*, Learning size-adaptive molecular substructures for explainable drug-drug interaction prediction by substructure-aware graph neural network, Chemical Science, 2022, 13, 8693 - 8703 (中科院一区, 中科院Top, IF: 9.969, 26 / 398)

16. Haohuai He^#, Guanxing Chen^#, Calvin Yu-Chian Chen*, 3DGT-DDI: 3D graph and text based neural network for drug-drug interaction prediction, Briefings in Bioinformatics, 2022, 23(3), 1–15 (中科院一区, 中科院 Top, IF: 13.994)

17. Xuedong He, Calvin Yu-Chian Chen*, Exploring Reliable Visual Tracking via Target Embedding Network, Knowledge-Based Systems. 2022, 244, 108584(中科院一区, 中科院Top, IF: 8.1388)