An Efficient and Low-Signaling Opportunistic Routing for Underwater Acoustic Sensor Networks. - Zhengyu Ma; Quansheng Guan; Fei Ji; Hua Yu 001; Fangjiong Chen (ICISA, 2017)

Modeling and Analysis of the Reliability of Machining Process of Diesel Engine Blocks Based on PFMECA. - Guizhong Tian; Wei Zhang 136; Zhengyu Ma; Honggen Zhou; Xuwen Jing; Guochao Li (IEEE Access, 2019)

Mining Data from the Congressional Record. - Zhengyu Ma; Tianjiao Qi; James Route; Amir Ziai (CoRR, 2019)

A Hybrid Artificial Intelligence Model for Predicting the Strength of Foam-Cemented Paste Backfill. - Jingping Qiu; Zhenbang Guo; Long Li 016; Shiyu Zhang; Yingliang Zhao; Zhengyu Ma (IEEE Access, 2020)

Spherical Classification of Data, a New Rule-Based Learning Method. - Zhengyu Ma; Hong Seo Ryoo (J. Classif., 2021)

State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. - Yanqi Chen; Zhaofei Yu; Wei Fang 006; Zhengyu Ma; Tiejun Huang 001; Yonghong Tian 001 (ICML, 2022)

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 001 (AAAI, 2023)

A Unified Framework for Soft Threshold Pruning. - Yanqi Chen; Zhengyu Ma; Wei Fang 006; Xiawu Zheng; Zhaofei Yu; Yonghong Tian 001 (ICLR, 2023)

Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Hengyu Man; Xiaopeng Fan (ICME, 2023)

Reservoir Computing Transformer for Image-Text Retrieval. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Penghong Wang; Jinqiao Shi; Xiaopeng Fan (ACM Multimedia, 2023)

Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. - Wenrui Li 001; Xi-Le Zhao; Zhengyu Ma; Xingtao Wang; Xiaopeng Fan; Yonghong Tian 001 (ACM Multimedia, 2023)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Ding Chen; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (NeurIPS, 2023)

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. - Chenlin Zhou; Liutao Yu; Zhaokun Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (CoRR, 2023)

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Zhengyu Ma; Huihui Zhou; Xiaopeng Fan; Yonghong Tian 001 (CoRR, 2023)

Auto-Spikformer: Spikformer Architecture Search. - Kaiwei Che; Zhaokun Zhou; Zhengyu Ma; Wei Fang 006; Yanqi Chen; Shuaijie Shen; Li Yuan 007; Yonghong Tian 001 (CoRR, 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 001 (CoRR, 2023)

The Style Transformer With Common Knowledge Optimization for Image-Text Retrieval. - Wenrui Li 001; Zhengyu Ma; Jinqiao Shi; Xiaopeng Fan (IEEE Signal Process. Lett., 2023)

Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. - Wenrui Li 001; Zhengyu Ma; Liang-Jian Deng; Xiaopeng Fan; Yonghong Tian 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. - Jiaqi Wang 003; Zhenxi Song; Zhengyu Ma; Xipeng Qiu; Min Zhang; Zhiguo Zhang (ACL (1), 2024)

Temporal Contrastive Learning for Spiking Neural Networks. - Haonan Qiu; Zeyin Song; Yanqi Chen; Munan Ning; Wei Fang 006; Tao Sun; Zhengyu Ma; Li Yuan 007; Yonghong Tian 001 (ICANN (10), 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 001 (NeurIPS, 2024)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Liwei Huang; Xiaopeng Fan; Li Yuan 007; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 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 (OFC, 2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. - Chenlin Zhou; Han Zhang 025; Liutao Yu; Yumin Ye; Zhaokun Zhou; Liwei Huang; Zhengyu Ma; Xiaopeng Fan; Huihui Zhou; Yonghong Tian 001 (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 097; et al. (CoRR, 2024)

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. - Liutao Yu; Liwei Huang; Chenlin Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (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 001 (CoRR, 2024)

ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. - Kaiwei Che; Wei Fang 006; Zhengyu Ma; Li Yuan 007; Timothée Masquelier; Yonghong Tian 001 (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; et al. (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 001; Huihui Zhou (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; et al. (CoRR, 2024)

Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. - Yifan Huang 002; Wei Fang 006; Zhengyu Ma; Guoqi Li; Yonghong Tian 001 (CoRR, 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)

Self-architectural knowledge distillation for spiking neural networks. - Haonan Qiu; Munan Ning; Zeyin Song; Wei Fang 006; Yanqi Chen; Tao Sun; Zhengyu Ma; Li Yuan 007; Yonghong Tian 001 (Neural Networks, 2024)

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. - Yang Li 203; Wei Wang 209; Ming Wang; Chunmeng Dou; Zhengyu Ma; Huihui Zhou; Peng Zhang 077; Nicola Lepri; Xumeng Zhang; Qing Luo; Xiaoxin Xu; Guanhua Yang; et al. (Adv. Intell. Syst., 2024)

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. - Peng Xue; Wei Fang 006; Zhengyu Ma; Zihan Huang; Zhaokun Zhou; Yonghong Tian 001; Timothée Masquelier; Huihui Zhou (CoRR, 2025)

Min-Pooling Cost Aggregation for Semi-Global Matching of Stereo Vision Processor. - Wenyue Zhang; Pingcheng Dong; Lei Chen 001; Zhengyu Ma; Fengwei An (IEEE Trans. Circuits Syst. II Express Briefs, 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, 2025)

A Self-Ensemble Inspired Approach for Effective Training of Binary-Weight Spiking Neural Networks. - Qingyan Meng; Mingqing Xiao 002; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001; Zhouchen Lin (CoRR, 2025)