Zhe Ma
27 papers · 2020–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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spiking neural network
(11)
knowledge distillation
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surrogate gradient
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energy efficiency
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model compression
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diffusion model
(2)
binary spike
(2)
radar semantic segmentation
(2)
energy-efficient computing
(2)
quantization error
(2)
transformer architecture
(2)
re-parameterization technique
(2)
semantic segmentation
(2)
membrane potential
(2)
binary spike activation
(2)
transductive learning
(1)
neuromorphic computing
(1)
catastrophic forgetting
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temporal coding
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self-attention mechanism
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Papers
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
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
ICML 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
NeurIPS 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning
AAAI 2024
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
NeurIPS 2024
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization
NeurIPS 2024
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
AAAI 2024
Robust Visual Imitation Learning with Inverse Dynamics Representations
AAAI 2024
SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series
IJCAI 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
NeurIPS 2024
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network
NeurIPS 2024
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks
AAAI 2024
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
ICCV 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
CVPR 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
CVPR 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NeurIPS 2023
IM-Loss: Information Maximization Loss for Spiking Neural Networks
NeurIPS 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
Reducing Information Loss for Spiking Neural Networks
ECCV 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