Ke Liu - RankMe

26 papers A* 5A 1B 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video. CoRR Zihui Gao, Ke Liu, Donny Y. Chen, Duochao Shi, Guosheng Lin, Hao Chen, Chunhua Shen
2025	—	`conf`	A Universal Periodicity Injection Module for Crystal Property Prediction. ICIC (26) Yichao Fu, Ke Liu, Shangde Gao, Lai Wei, Te Qiao, Chao Zhang
2025	B	`conf`	Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. IJCNN Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu
2025	J	`jnl`	Matrix Factorization with Dynamic Multi-view Clustering for Recommender System. CoRR Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu
2025	A*	`conf`	Physics Aware Neural Networks for Unsupervised Binding Energy Prediction. ICML Ke Liu, Hao Cheng, Chunhua Shen
2025	J	`jnl`	Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization. CoRR Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen
2025	J	`jnl`	R CoRR Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao
2025	J	`jnl`	Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading. CoRR Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu
2025	—	`conf`	Uncertainty-Aware Multi-expert Knowledge Distillation for Imbalanced Disease Grading. MICCAI (13) Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu
2024	J	`jnl`	A periodicity aware transformer for crystal property prediction. Neural Comput. Appl. Ke Liu, Kaifan Yang, Shangde Gao
2024	J	`jnl`	Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning. Inf. Sci. Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han
2024	A*	`conf`	Floating Anchor Diffusion Model for Multi-motif Scaffolding. ICML Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen
2024	J	`jnl`	Floating Anchor Diffusion Model for Multi-motif Scaffolding. CoRR Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen
2024	—	`conf`	KA CARE@MICCAI Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu
2024	J	`jnl`	KA CoRR Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu
2023	—	`conf`	Contrastive Knowledge Amalgamation for Unsupervised Image Classification. ICANN (2) Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han
2023	J	`jnl`	Contrastive Knowledge Amalgamation for Unsupervised Image Classification. CoRR Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han
2023	A	`conf`	E(2)-Equivariant Vision Transformer. UAI Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
2023	J	`jnl`	E(2)-Equivariant Vision Transformer. CoRR Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
2023	A*	`conf`	Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling. KDD Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu
2023	B	`conf`	PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. IJCNN Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han
2023	J	`jnl`	S2SNet: A Pretrained Neural Network for Superconductivity Discovery. CoRR Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu
2023	J	`jnl`	Unified Matrix Factorization with Dynamic Multi-view Clustering. CoRR Shangde Gao, Ke Liu, Yichao Fu
2022	A*	`conf`	Learning Interest-oriented Universal User Representation via Self-supervision. ACM Multimedia Qinghui Sun, Jie Gu, Xiaoxiao Xu, Renjun Xu, Ke Liu, Bei Yang, Hong Liu, Huan Xu
2022	A*	`conf`	S2SNet: A Pretrained Neural Network for Superconductivity Discovery. IJCAI Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu
2021	J	`jnl`	Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling. CoRR Bei Yang, Ke Liu, Xiaoxiao Xu, Renjun Xu, Hong Liu, Huan Xu