Biomolecule Design (Protein, RNA, DNA)
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]
Material Discovery
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]
Drug Discovery
BioEng
Low-Data Drug Design with Few-Shot Generative Domain Adaptation
Ke Liu, Yuqiang Han, Zhichen Gong, Hongxia Xu.
BioEngineering.
[code] [paper] [bib]
Computer Vision
UAI'24
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]
Info Sci
Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning
Shangde Gao*, Yichao Fu*, Ke Liu*, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han
Information Sciences
[paper] [bib]
* denotes equal contricbution, ✉️ denotes corresponding author.
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