Huan Xiong
24 papers · 2020–2024 · 9 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Computer Vision
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Artificial Intelligence
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Analysis
(7)
Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Mathematics & Optimization
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Keywords
spiking neural network
(9)
few-shot learning
(3)
surrogate gradient
(3)
graph neural network
(3)
semantic segmentation
(3)
prototype learning
(3)
neuromorphic computing
(2)
camouflaged object detection
(2)
few-shot semantic segmentation
(2)
zeroth-order optimization
(2)
neural network optimization
(2)
adversarial robustness
(1)
neuronal dynamics
(1)
object detection
(1)
transfer learning
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vision transformer
(1)
image segmentation
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variational inference
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graph representation learning
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non-convex optimization
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Papers
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
ICLR 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks
AISTATS 2024
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
ICLR 2024
Dynamic Spiking Graph Neural Networks
AAAI 2024
Enhancing Training of Spiking Neural Network with Stochastic Latency
AAAI 2024
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
ICLR 2024
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
ICML 2024
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
ICLR 2024
On the Intrinsic Structures of Spiking Neural Networks
JMLR 2024
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
ICLR 2024
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
ICML 2023
Direct Training of SNN using Local Zeroth Order Method
NeurIPS 2023
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers
CVPR 2023
Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection
AAAI 2023
Balanced Self-Paced Learning for AUC Maximization
AAAI 2022
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems
AAAI 2022
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
CVPR 2022
Implicit Motion Handling for Video Camouflaged Object Detection
CVPR 2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
NeurIPS 2022
Few-Shot Semantic Segmentation With Cyclic Memory Network
ICCV 2021
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
CVPR 2021
Learning to Learn Variational Semantic Memory
NeurIPS 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
ECCV 2020
On the Number of Linear Regions of Convolutional Neural Networks
ICML 2020