陈语谦

职称:AI for Science (AI4S)主任
电话:
办公室:A410
Email:cy[at]pku dot edu dot cn; ycc929 [at]MIT dot edu
实验室网站:
研究方向:AI for Science
职称 AI for Science (AI4S)主任 电话
办公室 A410 Email cy[at]pku dot edu dot cn; ycc929 [at]MIT dot edu
研究方向 AI for Science 实验室网站

陈语谦

职称:AI for Science (AI4S)平台中心主任

电话:

办公室:A410

Email:cy[at]pku dot edu dot cn

研究方向:AI for Science

导师与研究领域、方向:

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,Nature子刊、Cell子刊和TPAMI等期刊和ICML、CVPR、AAAI会议论文370余篇,累计被引9800余次,H-index为53。在2020-2024年入选Elsevier中国高被引学者榜单(计算机学与技术领域)。2021-2024年入选了全球学者学术影响力排行榜,2018-2024年同时入选全球World’s Top 2% Scientists的“终身科学影响力排行榜(career-long impact)”和“年度科学影响力排行榜(single-year impact)”榜单。

AI4S实验室简介:将人工智能应用在科学上。

人才培养:注重算法和科学的交叉专业技能。

对研究生的期待:探讨科学,眼睛有光。

主要研究方向:

AI药物设计、数字化学、AIGC化学反应数据库、大语言模型蛋白质环肽疫苗设计。

荣誉与获奖

2009MIT 100international young innovator awards

2010"Professor Shi Yanping's Thesis Award"

2010MIT Young Scientist Award (2010/11/8)

2010Harvard University, Systems Biology, Outstanding research Award

2011IEEE Senior Member, Institute of Electrical and Electronics Engineers

2013Bentham Science high cited paper

20192019-2024 Stanford University World’s Top 2% Scientists

20192019-2024highly cited(computer science and Technology)

20202020-2024world top scientist

2022Shenzhen Pengcheng Peacock Plan Overseas High-Level Talents

2022Shenzhen City Young Scientific and Technological Talents

2024Shenzhen Pengcheng Peacock Plan Overseas High-Level Talents

代表性论文

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

Recent Referee Papers

1.Ziduo Yang , Yi-Ming Zhao, Xian Wang, Xiaoqing Liu, Xiuying Zhang, Yifan Li, Qiujie Lv,Calvin Yu-Chian Chen*, Lei Shen*, Scalable Crystal Structure Relaxation Using an Iteration-Free Deep Generative Model with Uncertainty Quantification,Nature Communications,2024,15, 8148

2.Zhenchao Tang, Guanxing Chen, Shouzhi Chen, Jianhua Yao, Linlin You,Calvin Yu-Chian Chen, Modal-nexus auto-encoder for multi-modalitycellular data integration and imputation,Nature Communications,2024,15, 1, 9021

3.Ziduo Yang, Weihe Zhong, Qiujie Lv, Tiejun Dong, Guanxing Chen,Calvin Yu-Chian Chen*, Interaction-Based Inductive Bias in Graph Neural Networks: Enhancing Protein-Ligand Binding Affinity Predictions from 3D Structures,IEEE Transactions on Pattern Analysis and Machine Intelligence,2024,46, 12, 8189-8208.

4.Haohuai He, Bing He, Lei Guan, Yu Zhao, Feng Jiang, Guanxing Chen, Qingge Zhu,Calvin Yu-Chian Chen*, Ting Li*, Jianhua Yao*, De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model,Nature Communications,2024,15:6867

5.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