Zhou, Yun

10 publications

ICML 2025 COSDA: Counterfactual-Based Susceptibility Risk Framework for Open-Set Domain Adaptation Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu, Ruichun Tang, Bo Han, Nevin L. Zhang

ICML 2025 ReferSplat: Referring Segmentation in 3D Gaussian Splatting Shuting He, Guangquan Jie, Changshuo Wang, Yun Zhou, Shuming Hu, Guanbin Li, Henghui Ding

AAAI 2025 Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, Nevin L. Zhang

AAAI 2024 Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan, Yun Zhou, Changyin Sun

AAAI 2020 Relation-Guided Spatial Attention and Temporal Refinement for Video-Based Person Re-Identification Xingze Li, Wengang Zhou, Yun Zhou, Houqiang Li

AAAI 2020 Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li

IJCAI 2017 Adversarial Generation of Real-Time Feedback with Neural Networks for Simulation-Based Training Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey

UAI 2015 Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil

AAAI 2015 Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz

IJCAI 2013 Incorporating Expert Judgement into Bayesian Network Machine Learning Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu