Xiong, Huan

24 publications

ICLR 2024 Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu

ICLR 2024 DREAM: Dual Structured Exploration with Mixup for Open-Set Graph Domain Adaption Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo

AISTATS 2024 Data Driven Threshold and Potential Initialization for Spiking Neural Networks Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong

AAAI 2024 Dynamic Spiking Graph Neural Networks Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu

AAAI 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu

ICLR 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu

ICML 2024 NDOT: Neuronal Dynamics-Based Online Training for Spiking Neural Networks Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu

ICLR 2024 New Insight of Variance Reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong

JMLR 2024 On the Intrinsic Structures of Spiking Neural Networks Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu, Gao Zhang, Huan Xiong, Bin Gu, Zhi-Hua Zhou

ICLR 2024 TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Bin Gu, Huan Xiong

ICML 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu

NeurIPS 2023 Direct Training of SNN Using Local Zeroth Order Method Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu

CVPR 2023 Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong

AAAI 2023 Memory-Aided Contrastive Consensus Learning for Co-Salient Object Detection Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong

AAAI 2022 Balanced Self-Paced Learning for AUC Maximization Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang

AAAI 2022 DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems Huan Xiong

CVPR 2022 Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves

CVPR 2022 Implicit Motion Handling for Video Camouflaged Object Detection Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

NeurIPS 2022 Zeroth-Order Negative Curvature Finding: Escaping Saddle Points Without Gradients Hualin Zhang, Huan Xiong, Bin Gu

ICCV 2021 Few-Shot Semantic Segmentation with Cyclic Memory Network Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao

CVPR 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao

NeurIPS 2020 Learning to Learn Variational Semantic Memory Xiantong Zhen, Yingjun Du, Huan Xiong, Qiang Qiu, Cees Snoek, Ling Shao

ECCV 2020 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

ICML 2020 On the Number of Linear Regions of Convolutional Neural Networks Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao