| 2024 | AAAI | Enhancing Training of Spiking Neural Network with Stochastic Latency. | Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | AAAI | Dynamic Spiking Graph Neural Networks. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | AISTATS | Data Driven Threshold and Potential Initialization for Spiking Neural Networks. | Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong |
| 2024 | ICLR | TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks. | Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Bin Gu, Huan Xiong |
| 2024 | ICLR | Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s). | Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu |
| 2024 | ICLR | Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks. | Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks. | Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu |
| 2023 | AAAI | Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection. | Peng Zheng, Jie Qin, Shuo Wang, Tian-Zhu Xiang, Huan Xiong |
| 2023 | CVPR | 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 |
| 2023 | ICML | 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 |
| 2022 | AAAI | Balanced Self-Paced Learning for AUC Maximization. | Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang |
| 2022 | AAAI | DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems. | Huan Xiong |
| 2022 | CVPR | Implicit Motion Handling for Video Camouflaged Object Detection. | Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge |
| 2022 | CVPR | Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. | Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves |
| 2021 | CVPR | Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation. | Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao |
| 2021 | ICCV | Few-Shot Semantic Segmentation with Cyclic Memory Network. | Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao |
| 2020 | ECCV | Learning to Learn with Variational Information Bottleneck for Domain Generalization. | Ying-Jun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao |
| 2020 | ICML | On the Number of Linear Regions of Convolutional Neural Networks. | Huan Xiong, Lei Huang, Mengyang Yu, Li Liu, Fan Zhu, Ling Shao |
| 2009 | IKE | Research of Knowledge Supply Flow Based on Workflow. | Jian Wu, ShiKai Jing, HaiBin Liu, Huan Xiong |