Ke Liu

According to our database, Ke Liu authored at least 21 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video.

Zihui Gao, Ke Liu, Donny Y. Chen, Duochao Shi, Guosheng Lin, Hao Chen, Chunhua Shen

CoRR, February, 2026

2025

Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao, Chunhua Shen

CoRR, December, 2025

R²Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection.

Shuaike Shen, Ke Liu, Jiaqing Xie, Shangde Gao, Chunhua Shen, Ge Liu, Mireia Crispin-Ortuzar, Shangqi Gao

CoRR, November, 2025

Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors.

Ke Liu, Shangde Gao, Yichao Fu, Shangqi Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Uncertainty-Aware Multi-expert Knowledge Distillation for Imbalanced Disease Grading.

Shuo Tong, Shangde Gao, Ke Liu, Zihang Huang, Hongxia Xu, Haochao Ying, Jian Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Matrix Factorization with Dynamic Multi-view Clustering for Recommender System.

Shangde Gao, Ke Liu, Yichao Fu, Hongxia Xu, Jian Wu

Proceedings of the International Joint Conference on Neural Networks, 2025

Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models.

Ke Liu, Shangde Gao, Yichao Fu, Xiaoliang Wu, Shuo Tong, Ajitha Rajan, Hao Xu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Physics Aware Neural Networks for Unsupervised Binding Energy Prediction.

Ke Liu, Hao Cheng, Chunhua Shen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Universal Periodicity Injection Module for Crystal Property Prediction.

Yichao Fu, Ke Liu, Shangde Gao, Lai Wei, Te Qiao, Chao Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

A periodicity aware transformer for crystal property prediction.

Ke Liu, Kaifan Yang, Shangde Gao

Neural Comput. Appl., April, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.

Shangde Gao, Yichao Fu, Ke Liu, Wei Gao, Hongxia Xu, Jian Wu, Yuqiang Han

Inf. Sci., 2024

KA²ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.

Shangde Gao, Yichao Fu, Ke Liu, Hongxia Xu, Jian Wu

Proceedings of the Comprehensive Analysis and Computing of Real-World Medical Images, 2024

Floating Anchor Diffusion Model for Multi-motif Scaffolding.

Ke Liu, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unified Matrix Factorization with Dynamic Multi-view Clustering.

Shangde Gao, Ke Liu, Yichao Fu

CoRR, 2023

E(2)-Equivariant Vision Transformer.

Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling.

Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals.

Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han

Proceedings of the International Joint Conference on Neural Networks, 2023

Contrastive Knowledge Amalgamation for Unsupervised Image Classification.

Shangde Gao, Yichao Fu, Ke Liu, Yuqiang Han

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Learning Interest-oriented Universal User Representation via Self-supervision.

Qinghui Sun, Jie Gu, Xiaoxiao Xu, Renjun Xu, Ke Liu, Bei Yang, Hong Liu, Huan Xu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

S2SNet: A Pretrained Neural Network for Superconductivity Discovery.

Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling.

Bei Yang, Ke Liu, Xiaoxiao Xu, Renjun Xu, Hong Liu, Huan Xu

CoRR, 2021