Zhe Ma

Orcid: 0009-0001-6697-4858

Affiliations:
  • Intelligent Science & Technology Academy of CASIC, Beijing, China
  • X Lab, The Second Academy of China Aerospace Science And Industry Corporation, Beijing, China


According to our database1, Zhe Ma authored at least 26 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
5
10
2
4
2
6
6
4
2

Legend:

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Links

Online presence:

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Bibliography

2024
Improved Event-Based Image De-Occlusion.
IEEE Signal Process. Lett., 2024

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN.
IEEE Signal Process. Lett., 2024

TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.
Pattern Recognit., October, 2023

Zero-Shot Predicate Prediction for Scene Graph Parsing.
IEEE Trans. Multim., 2023

Reducing Information Loss for Spiking Neural Networks.
CoRR, 2023

Direct Learning-Based Deep Spiking Neural Networks: A Review.
CoRR, 2023

Spiking PointNet: Spiking Neural Networks for Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Clustering by centroid drift and boundary shrinkage.
Pattern Recognit., 2022

3D target location based on RFID polarization phase model.
EURASIP J. Wirel. Commun. Netw., 2022

IM-Loss: Information Maximization Loss for Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation.
Proceedings of the Advances in Computer Graphics, 2021


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