Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, Bin Gu
Bin Gu

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, Huan Xiong
Huan Xiong

On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
Huan Xiong

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection, Peng Zheng, Jie Qin, Shuo Wang, Tian Zhu Xiang, Huan Xiong
Machine Learning Faculty Publications

Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, Bin Gu
Machine Learning Faculty Publications

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge, Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Štern, Edward G.A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang
Machine Learning Faculty Publications

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge, Jun Ma, Yao Zhang, Song Gu, Xingle An, Zhihe Wang, Cheng Ge, Congcong Wang, Fan Zhang, Yu Wang, Yinan Xu, Shuiping Gou, Franz Thaler, Christian Payer, Darko Štern, Edward G.A. Henderson, Dónal M. McSweeney, Andrew Green, Price Jackson, Lachlan McIntosh, Quoc-Cuong Nguyen, Abdul Qayyum, Pierre-Henri Conze, Ziyan Huang, Ziqi Zhou, Deng-Ping Fan, Huan Xiong, Guoqiang Dong, Qiongjie Zhu, Jian He, Xiaoping Yang
Huan Xiong

A Generalized Method for Binary Optimization: Convergence Analysis and Applications, Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao
Machine Learning Faculty Publications

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Bin Gu

A Generalized Method for Binary Optimization: Convergence Analysis and Applications, Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, Ling Shao
Huan Xiong

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Huan Xiong

Implicit Motion Handling for Video Camouflaged Object Detection, Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
Huan Xiong

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation, Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Huan Xiong

Balanced Self-Paced Learning for AUC Maximization, Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang
Machine Learning Faculty Publications

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation, Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves
Machine Learning Faculty Publications

Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, Ling Shao
Huan Xiong

Implicit Motion Handling for Video Camouflaged Object Detection, Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge
Machine Learning Faculty Publications

Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation, Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao
Machine Learning Faculty Publications

Learning to Learn Variational Semantic Memory, Xiantong Zhen, Yingjun Du, Huan Xiong, Cees G.M. Snoek, Ling Shao
Machine Learning Faculty Publications

Learning to Learn with Variational Information Bottleneck for Domain Generalization, Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G.M. Snoek, Ling Shao
Machine Learning Faculty Publications

On the Number of Linear Regions of Convolutional Neural Networks, Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao
Machine Learning Faculty Publications