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