Liu, Yanbin

13 publications

ECML-PKDD 2024 Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang

WACV 2024 NeRFEditor: Differentiable Style Decomposition for 3D Scene Editing Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould

NeurIPS 2024 TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning Hui Chen, Yanbin Liu, Yongqiang Ma, Nanning Zheng, Xin Yu

ECCV 2024 Unsupervised Dense Prediction Using Differentiable Normalized Cuts Yanbin Liu, Stephen Gould

CVPR 2023 Aligning Step-by-Step Instructional Diagrams to Video Demonstrations Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez, Stephen Gould

CVPRW 2023 Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long, Xiaolin Zhang, Yanbin Liu, Zongtai Luo, Jianbo Liu

ICMLW 2023 PMaF: Deep Declarative Layers for Principal Matrix Features Zhiwei Xu, Hao Wang, Yanbin Liu, Stephen Gould

ICMLW 2023 Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks Stephen Gould, Ming Xu, Zhiwei Xu, Yanbin Liu

ECML-PKDD 2022 Feature-Robust Optimal Transport for High-Dimensional Data Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada

ICCV 2021 A Multi-Mode Modulator for Multi-Domain Few-Shot Classification Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang

ECML-PKDD 2021 LSMI-Sinkhorn: Semi-Supervised Mutual Information Estimation with Optimal Transport Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang

AAAI 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, Yi Yang

ICLR 2019 Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang