← Authors

Huan Xiong

24 papers · 2020–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (43) 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (24) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (95)

Conferences

AAAI (5) ICLR (5) CVPR (4) ICML (3) NIPS (3) AISTATS (1) ECCV (1) ICCV (1) JMLR (1)

Top co-authors

Bin Gu (14) Giulia De Masi (8) Ling Shao (5) Bhaskar Mukhoty (3) Velibor Bojkovic (3) Haiyan Jiang (3) Guo-sen Xie (3) Jie Liu (3) Srinivas Anumasa (3) Jie Qin (2)

Research topics

Core AI (1)

Keywords

spiking neural network (6) few-shot learning (3) semantic segmentation (3) prototype learning (3) few-shot semantic segmentation (2) camouflaged object detection (2) graph neural network (2) surrogate gradient (2) neural network optimization (2) attention mechanism (1) motion estimation (1) vision transformer (1) image segmentation (1) graph representation learning (1) dynamic graph learning (1) object detection (1) adversarial learning (1) video understanding (1) model architecture (1) neuromorphic computing (1)

Papers

TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks ICLR 2024
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption ICLR 2024
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks ICLR 2024
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks ICML 2024
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024
On the Intrinsic Structures of Spiking Neural Networks JMLR 2024
Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024
Dynamic Spiking Graph Neural Networks AAAI 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks AISTATS 2024
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions ICLR 2024
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers CVPR 2023
Direct Training of SNN using Local Zeroth Order Method NIPS 2023
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients NIPS 2022
Implicit Motion Handling for Video Camouflaged Object Detection CVPR 2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation CVPR 2022
Balanced Self-Paced Learning for AUC Maximization AAAI 2022
Few-Shot Semantic Segmentation With Cyclic Memory Network ICCV 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021
On the Number of Linear Regions of Convolutional Neural Networks ICML 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization ECCV 2020