Huang, Kun

18 publications

ICLR 2023 Learning Sparse Group Models Through Boolean Relaxation Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma

NeurIPS 2023 Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation Kun Huang, Xin Guo, Meng Wang

ECCV 2022 Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang

ICLR 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

ICLRW 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

CoRL 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning Kun Huang, Edward S. Hu, Dinesh Jayaraman

AAAI 2022 Width & Depth Pruning for Vision Transformers Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui

NeurIPS 2021 Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics Man Shun Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang

WACV 2021 Towards Fair Cross-Domain Adaptation via Generative Learning Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang

IJCAI 2021 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang

AAAI 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations Kun Huang, Bingbing Ni, Xiaokang Yang

CVPRW 2010 Two-Point Correlation as a Feature for Histology Images: Feature Space Structure and Correlation Updating Lee Cooper, Joel H. Saltz, Raghu Machiraju, Kun Huang

ECCV 2006 Spatial Segmentation of Temporal Texture Using Mixture Linear Models Lee Cooper, Jun Liu, Kun Huang

ICCV 2005 A Multi-Scale Hybrid Linear Model for Lossy Image Representation Wei Hong, John Wright, Kun Huang, Yi Ma

CVPR 2004 Minimum Effective Dimension for Mixtures of Subspaces: A Robust GPCA Algorithm and Its Applications Kun Huang, Yi Ma, René Vidal

AISTATS 2003 A Unifying Theorem for Spectral Embedding and Clustering Matthew Brand, Kun Huang

ICCV 2003 Geometric Segmentation of Perspective Images Based on Symmetry Groups Allen Y. Yang, Shankar R. Rao, Kun Huang, Wei Hong, Yi Ma

ECCV 2002 Generalized Rank Conditions in Multiple View Geometry with Applications to Dynamical Scenes Kun Huang, Robert M. Fossum, Yi Ma