Zhe Ma
27 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
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Conferences
AAAI (7)
NIPS (7)
CVPR (5)
ICCV (4)
ECCV (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
spiking neural network
(10)
surrogate gradient
(3)
knowledge distillation
(3)
energy efficiency
(3)
diffusion model
(2)
model compression
(2)
binary spike
(2)
transformer architecture
(2)
radar semantic segmentation
(2)
quantization error
(2)
semantic segmentation
(2)
membrane potential
(2)
neuromorphic computing
(1)
temporal coding
(1)
catastrophic forgetting
(1)
sequential decision-making
(1)
self-attention mechanism
(1)
continual learning
(1)
few-shot learning
(1)
neural network training
(1)
Papers
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ICML 2025
An Inversion-based Measure of Memorization for Diffusion Models
ICCV 2025
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
AAAI 2025
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
AAAI 2025
Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
CVPR 2025
AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation
NIPS 2024
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
AAAI 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations
AAAI 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
IJCAI 2024
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network
NIPS 2024
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
NIPS 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NIPS 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NIPS 2024
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
ICCV 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NIPS 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
CVPR 2023
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
CVPR 2023
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NIPS 2022
Reducing Information Loss for Spiking Neural Networks
ECCV 2022
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
ECCV 2022
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks
CVPR 2022
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
CVPR 2021
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
AAAI 2020