Ke Liu
Ph.D. Candidate
State Key Lab of CAD & CG
Center for Data Science
College of Computer Science and Technology
Zhejiang University
Zhejiang, China. 310058.
Github: zjuKeLiu & Gitee
Scholar: Google scholar
Email: kliu ατ zju δατ edu δατ cn
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Biography
I'm currently a fourth-year Ph.D student of the College of Computer Science and Technology at Zhejiang University, fortunately advised by Prof. Chunhua Shen, and scheduled to graduate in 2026. Before that I got my bachelor's degree from Zhejiang University in july, 2021 majoring in Automation and minoring in Advanced-honor Class of Engineering Education(ACEE), Chu Kochen honors College(CKC). Before I got to Zhejiang University, all my life was spent in my hometown, Chendu, Sichuan province.
Research Interests
AI for science, protein design, material discovery, and Computer Vision
I focus on Molecule Artificial Intelligence, including crystals for inorganic materials, small molecules for drug, and biomolecules (Protein, RNA, DNA).
More research can be found here.
News
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[2024.09] One paper was accepted by MICCAI 2024 CARE challenge.
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[2024.06] One paper was accepted by ICML AI4SCience Workshop.
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[2024.05] One paper was accepted by ICML.
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[2024.04] One paper was accepted by Information Sciences (IF=8.1).
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[2023.09] One paper was accepted by BioEngineering (IF=4.7).
Selected Publications
ICML'24
Floating Anchor Diffusion Model for Multi-motif Scaffolding
Ke Liu, Shuaike Shen, Weian Mao, Xiaoran Jiao, Zheng Sun, Hao Chen, Chunhua Shen.
Proc. International Conference on Machine Learning (ICML'24), 2024.
[code] [paper] [bib] [Project Page]
UAI'23
Group Equivariant Vision Transformer
Rux Xu*, Kaifan Yang*, Ke Liu*✉, Fengxiang He.
Proc. Conference on Uncertainty in Artificial Intelligence (UAI'23), 2023.
[code] [paper] [bib]
IJCAI'22
S2SNet: A Pretrained Neural Network for Superconductivity Discovery
Ke Liu, Kaifan Yang, Jiahong Zhang, Rux Xu.
Proc. International Joint Conference on Artificial Intelligence (IJCAI'22), 2022.
[code] [paper] [bib]
IJCNN'23
PCVAE: a Physics-Informed Neural Network for Determining the Symmetry and Geometry of Crystals
Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han.
Proc. International Joint Conference on Neural Networks (IJCNN'23) 2023.
(Oral presentation)
[code] [paper] [bib]
Full publication list
Useful Links
Last updated on Nov 29th, 2024.