Zhengyu Ma

According to our database, Zhengyu Ma authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu

Adv. Intell. Syst., January, 2024

QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2024

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

Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang

CoRR, 2024

2023

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

Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian

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

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

Wenrui Li, Zhengyu Ma, Jinqiao Shi, Xiaopeng Fan

IEEE Signal Process. Lett., 2023

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

Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2023

Auto-Spikformer: Spikformer Architecture Search.

Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian

CoRR, 2023

Temporal Contrastive Learning for Spiking Neural Networks.

Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian

CoRR, 2023

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

Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian

CoRR, 2023

Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy.

Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu

CoRR, 2023

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

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

CoRR, 2023

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

Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian

CoRR, 2023

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

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

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.

Wenrui Li, Xi-Le Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, Yonghong Tian

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

Reservoir Computing Transformer for Image-Text Retrieval.

Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Penghong Wang, Jinqiao Shi, Xiaopeng Fan

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

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

Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Hengyu Man, Xiaopeng Fan

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

A Unified Framework for Soft Threshold Pruning.

Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

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.

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

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

2022

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

Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Zhengyu Ma, Hong Seo Ryoo

J. Classif., 2021

2020

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

Jingping Qiu, Zhenbang Guo, Long Li, Shiyu Zhang, Yingliang Zhao, Zhengyu Ma

IEEE Access, 2020

2019

Mining Data from the Congressional Record.

Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai

CoRR, 2019

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

Guizhong Tian, Wei Zhang, Zhengyu Ma, Honggen Zhou, Xuwen Jing, Guochao Li

IEEE Access, 2019

2017

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

Zhengyu Ma, Quansheng Guan, Fei Ji, Hua Yu, Fangjiong Chen

Proceedings of the Information Science and Applications 2017, 2017