Zhengyu Ma

According to our database, Zhengyu Ma authored at least 55 papers between 2017 and 2026.

Collaborative distances:

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

2026

Adaptive Spiking Neurons for Vision and Language Modeling.

Chenlin Zhou, Sihang Guo, Jiaqi Wang, Dongyang Ma, Jin Cheng, Qingyan Meng, Zhengyu Ma, Yonghong Tian

CoRR, April, 2026

Winner-Take-All Spiking Transformer for Language Modeling.

Chenlin Zhou, Sihang Guo, Jiaqi Wang, Dongyang Ma, Kaiwei Che, Baiyu Chen, Qingyan Meng, Zhengyu Ma, Yonghong Tian

CoRR, April, 2026

Hierarchical Zero-Order Optimization for Deep Neural Networks.

Sansheng Cao, Zhengyu Ma, Yonghong Tian

CoRR, February, 2026

BrainFuse: a unified infrastructure integrating realistic biological modeling and core AI methodology.

Baiyu Chen, Yujie Wu, Siyuan Xu, Peng Qu, Dehua Wu, Xu Chu, Haodong Bian, Shuo Zhang, Bo Xu, Youhui Zhang, Zhengyu Ma, Guoqi Li

CoRR, January, 2026

Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.

Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Honghai Liu, Min Zhang, Zhengyu Ma, Zhiguo Zhang

Neural Networks, 2026

Spikingformer: A Key Foundation Model for Spiking Neural Networks.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition.

Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang, Zhengyu Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Parallel Training Time-to-First-Spike Spiking Neural Networks.

Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Temporal-adaptive Weight Quantization for Spiking Neural Networks.

Han Zhang, Qingyan Meng, Jiaqi Wang, Baiyu Chen, Zhengyu Ma, Xiaopeng Fan

CoRR, November, 2025

High-Rate Monocular Depth Estimation via Cross Frame-Rate Collaboration of Frames and Events.

Xu Liu, Xiaopeng Fan, Jianing Li, Dianze Li, Wei Zhang, Zhengyu Ma, Yonghong Tian

Int. J. Comput. Vis., October, 2025

One-Timestep is Enough: Achieving High-performance ANN-to-SNN Conversion via Scale-and-Fire Neurons.

Qiuyang Chen, Huiqi Yang, Qingyan Meng, Zhengyu Ma

CoRR, October, 2025

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks.

Qingyan Meng, Mingqing Xiao, Zhengyu Ma, Huihui Zhou, Yonghong Tian, Zhouchen Lin

CoRR, August, 2025

S²M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection.

Jiaqi Wang, Zhengyu Ma, Xiongri Shen, Chenlin Zhou, Leilei Zhao, Han Zhang, Yi Zhong, Siqi Cai, Zhenxi Song, Zhiguo Zhang

CoRR, August, 2025

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

Wenyue Zhang, Pingcheng Dong, Lei Chen, Zhengyu Ma, Fengwei An

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

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields.

Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

CoRR, January, 2025

DSF-Net: Dynamic Sparse Fusion of Event-RGB via Spike-Triggered Attention for High-Speed Detection.

Dongyang Ma, Zhengyu Ma, Wei Zhang, Yonghong Tian

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Enhancing GraphRAG with Syntactic Knowledge and Mixture-of-Experts for Knowledge-Intensive QA.

Zhengyu Ma, Xiaojia Jin, Dongming Zhao, Bo Wang

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Traceback-Assisted Simplified Soft-Output MLSE for 320 Gb/s PAM4 Transmissions.

Xue Zhao, Jiahao Zhou, Zhengyu Ma, Jing Zhang, Shaohua Hu, Zhaopeng Xu, Bo Xu, Kun Qiu

Proceedings of the European Conference on Optical Communications, 2025

An Adaptive and Reconfigurable Hybrid Free-Space Optical and Millimeter-Wave Wireless Communication System.

Yizhou Wang, Chenghao Chay, Zhen Luo, Shuren Mao, Zhengyu Ma, Jing Zhangh, Chen Liu, Shenmao Zhang, Xiaoxiao Dai, Qi Yang, Deming Liu

Proceedings of the European Conference on Optical Communications, 2025

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

Self-architectural knowledge distillation for spiking neural networks.

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

Neural Networks, 2024

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

Jiaqi Wang, Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhenxi Song, Min Zhang, Zhengyu Ma, Zhiguo Zhang

CoRR, 2024

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

Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian

CoRR, 2024

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

Mingjing Li, Huihui Zhou, Xiaofeng Xu, Zhiwei Zhong, Puli Quan, Xueke Zhu, Yanyu Lin, Wenjie Lin, Hongyu Guo, Junchao Zhang, Yunhao Ma, Wei Wang, Qingyan Meng, Zhengyu Ma, Guoqi Li, Xiaoxin Cui, Yonghong Tian

CoRR, 2024

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

Xueke Zhu, Wenjie Lin, Yanyu Lin, Wenxiang Cheng, Zhengyu Ma, Yonghong Tian, Huihui Zhou

CoRR, 2024

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

Tianhe Ren, Yihao Chen, Qing Jiang, Zhaoyang Zeng, Yuda Xiong, Wenlong Liu, Zhengyu Ma, Junyi Shen, Yuan Gao, Xiaoke Jiang, Xingyu Chen, Zhuheng Song, Yuhong Zhang, Hongjie Huang, Han Gao, Shilong Liu, Hao Zhang, Feng Li, Kent Yu, Lei Zhang

CoRR, 2024

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

Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian

CoRR, 2024

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

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

CoRR, 2024

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

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

CoRR, 2024

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

Tianhe Ren, Qing Jiang, Shilong Liu, Zhaoyang Zeng, Wenlong Liu, Han Gao, Hongjie Huang, Zhengyu Ma, Xiaoke Jiang, Yihao Chen, Yuda Xiong, Hao Zhang, Feng Li, Peijun Tang, Kent Yu, Lei Zhang

CoRR, 2024

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

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

CoRR, 2024

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

Xue Zhao, Jiahao Zhou, Jing Zhang, Rui Wang, Zhengyu Ma, Shaohua Hu, Bo Xu, Kun Qiu

Proceedings of the Optical Fiber Communications Conference and Exhibition, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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.

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

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.

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

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

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