Zhengyu Ma

Orcid: 0000-0003-0799-440X

According to our database¹, Zhengyu Ma authored at least 36 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Min-Pooling Cost Aggregation for Semi-Global Matching of Stereo Vision Processor.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, January, 2025

2024

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy.

[BibT_eX]

[DOI]

Adv. Intell. Syst., January, 2024

Self-architectural knowledge distillation for spiking neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2024

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching.

[BibT_eX]

[DOI]

CoRR, 2024

A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training.

[BibT_eX]

[DOI]

CoRR, 2024

Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training.

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[DOI]

CoRR, 2024

DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron.

[BibT_eX]

[DOI]

CoRR, 2024

Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.

[BibT_eX]

[DOI]

CoRR, 2024

QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

[BibT_eX]

[DOI]

CoRR, 2024

Low-Complexity Multi-tap ET-DFE-PU for Soft-Input FEC in High-Speed IM/DD systems.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Temporal Contrastive Learning for Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., July, 2023

The Style Transformer With Common Knowledge Optimization for Image-Text Retrieval.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli.

[BibT_eX]

[DOI]

CoRR, 2023

Auto-Spikformer: Spikformer Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.

[BibT_eX]

[DOI]

CoRR, 2023

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability.

[BibT_eX]

[DOI]

CoRR, 2023

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reservoir Computing Transformer for Image-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Unified Framework for Soft Threshold Pruning.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Spherical Classification of Data, a New Rule-Based Learning Method.

[BibT_eX]

[DOI]

Zhengyu Ma

Hong Seo Ryoo

J. Classif., 2021

2020

A Hybrid Artificial Intelligence Model for Predicting the Strength of Foam-Cemented Paste Backfill.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Mining Data from the Congressional Record.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling and Analysis of the Reliability of Machining Process of Diesel Engine Blocks Based on PFMECA.

[BibT_eX]

[DOI]

IEEE Access, 2019

2017

An Efficient and Low-Signaling Opportunistic Routing for Underwater Acoustic Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the Information Science and Applications 2017, 2017

Zhengyu Ma

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