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2020 – today
- 2024
[j7]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:
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. Adv. Intell. Syst. 6(1) (2024)- [j6]Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Self-architectural knowledge distillation for spiking neural networks. Neural Networks 178: 106475 (2024) - [c11]Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang:
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. ACL (1) 2024: 7278-7292 - [c10]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. ICANN (10) 2024: 422-436 - [c9]Xue Zhao, Jiahao Zhou, Jing Zhang, Rui Wang, Zhengyu Ma, Shaohua Hu, Bo Xu, Kun Qiu:
Low-Complexity Multi-tap ET-DFE-PU for Soft-Input FEC in High-Speed IM/DD systems. OFC 2024: 1-3 - [i17]Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min Zhang, Zhiguo Zhang:
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder. CoRR abs/2402.17433 (2024) - [i16]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. CoRR abs/2403.16552 (2024) - [i15]Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian:
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. CoRR abs/2405.04289 (2024) - [i14]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:
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection. CoRR abs/2405.10300 (2024) - [i13]Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. CoRR abs/2406.15034 (2024) - [i12]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics. CoRR abs/2408.07908 (2024) - 2023
- [j5]Wenrui Li, Zhengyu Ma, Jinqiao Shi, Xiaopeng Fan:
The Style Transformer With Common Knowledge Optimization for Image-Text Retrieval. IEEE Signal Process. Lett. 30: 1197-1201 (2023) - [j4]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian:
Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3516-3528 (2023) - [c8]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. AAAI 2023: 31-39 - [c7]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. ICLR 2023 - [c6]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Hengyu Man, Xiaopeng Fan:
Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning. ICME 2023: 426-431 - [c5]Wenrui Li, Xi-Le Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, Yonghong Tian:
Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. ACM Multimedia 2023: 3994-4002 - [c4]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Penghong Wang, Jinqiao Shi, Xiaopeng Fan:
Reservoir Computing Transformer for Image-Text Retrieval. ACM Multimedia 2023: 5605-5613 - [c3]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS 2023 - [i11]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. CoRR abs/2302.13019 (2023) - [i10]Wenrui Li, Zhengyu Ma, Jinqiao Shi, Xiaopeng Fan:
The style transformer with common knowledge optimization for image-text retrieval. CoRR abs/2303.00448 (2023) - [i9]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. CoRR abs/2303.06060 (2023) - [i8]Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. CoRR abs/2304.11954 (2023) - [i7]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR abs/2304.12760 (2023) - [i6]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:
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy. CoRR abs/2304.12866 (2023) - [i5]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian:
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. CoRR abs/2305.05954 (2023) - [i4]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. CoRR abs/2305.13909 (2023) - [i3]Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian:
Auto-Spikformer: Spikformer Architecture Search. CoRR abs/2306.00807 (2023) - [i2]Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. CoRR abs/2306.01354 (2023) - 2022
- [c2]Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian:
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML 2022: 3701-3715 - 2021
- [j3]Zhengyu Ma, Hong Seo Ryoo:
Spherical Classification of Data, a New Rule-Based Learning Method. J. Classif. 38(1): 44-71 (2021) - 2020
- [j2]Jingping Qiu, Zhenbang Guo, Long Li, Shiyu Zhang, Yingliang Zhao, Zhengyu Ma:
A Hybrid Artificial Intelligence Model for Predicting the Strength of Foam-Cemented Paste Backfill. IEEE Access 8: 84569-84583 (2020)
2010 – 2019
- 2019
- [j1]Guizhong Tian, Wei Zhang, Zhengyu Ma, Honggen Zhou, Xuwen Jing, Guochao Li:
Modeling and Analysis of the Reliability of Machining Process of Diesel Engine Blocks Based on PFMECA. IEEE Access 7: 124759-124773 (2019) - [i1]Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai:
Mining Data from the Congressional Record. CoRR abs/1906.00529 (2019) - 2017
- [c1]Zhengyu Ma, Quansheng Guan, Fei Ji, Hua Yu, Fangjiong Chen:
An Efficient and Low-Signaling Opportunistic Routing for Underwater Acoustic Sensor Networks. ICISA 2017: 22-29
Coauthor Index
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