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De Ma
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2020 – today
- 2024
- [j16]Jiakai Liang, Chao Wang, De Ma, Ruixue Li, Keqiang Yue, Wenjun Li:
Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons. Appl. Intell. 54(19): 9158-9176 (2024) - [j15]Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan:
Efficient spiking neural network design via neural architecture search. Neural Networks 173: 106172 (2024) - [j14]Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma:
R-SNN: Region-Based Spiking Neural Network for Object Detection. IEEE Trans. Cogn. Dev. Syst. 16(3): 810-817 (2024) - [j13]Ziyang Kang, Jingwei Zhu, Xun Xiao, Shiming Li, Lei Wang, De Ma, Gang Pan:
LSM-Based Hotspot Prediction and Hotspot-Aware Routing in NoC-Based Neuromorphic Processor. IEEE Trans. Very Large Scale Integr. Syst. 32(7): 1239-1252 (2024) - [c8]Wei Guo, Yuqi Zhang, De Ma, Qian Zheng:
Learning to Manipulate Artistic Images. AAAI 2024: 1994-2002 - [i8]Wei Guo, Yuqi Zhang, De Ma, Qian Zheng:
Learning to Manipulate Artistic Images. CoRR abs/2401.13976 (2024) - [i7]Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang:
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks. CoRR abs/2403.12574 (2024) - [i6]Zhuo Chen, De Ma, Xiaofei Jin, Qinghui Xing, Ouwen Jin, Xin Du, Shuibing He, Gang Pan:
An Asynchronous Multi-core Accelerator for SNN inference. CoRR abs/2407.20947 (2024) - 2023
- [c7]Dong-Sheng Wu, De Ma:
Spike-EFI: Spiking Neural Network for Event-Based Video Frame Interpolation. PSIVT 2023: 312-325 - [i5]De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan:
Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning. CoRR abs/2312.17582 (2023) - 2022
- [j12]Shuiguang Deng, Pan Lv, Ouwen Jin, Schahram Dustdar, Ying Li, De Ma, Zhaohui Wu, Gang Pan:
Darwin-S: A Reference Software Architecture for Brain-Inspired Computers. Computer 55(5): 51-63 (2022) - [j11]Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang:
An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 14(3): 847-856 (2022) - [j10]Zhe Pan, Zonghua Gu, Xiaohong Jiang, Guoquan Zhu, De Ma:
A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function. IEEE Trans. Ind. Electron. 69(10): 10694-10703 (2022) - [c6]Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI 2022: 2471-2477 - [i4]Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR abs/2210.06386 (2022) - 2021
- [c5]Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan:
Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI 2021: 1743-1749 - 2020
- [j9]Ming Zhang, Zonghua Gu, Nenggan Zheng, De Ma, Gang Pan:
Efficient Spiking Neural Networks With Logarithmic Temporal Coding. IEEE Access 8: 98156-98167 (2020)
2010 – 2019
- 2019
- [j8]Juncheng Shen, Xiaolei Zhu, De Ma:
TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications. IEEE Access 7: 41498-41506 (2019) - 2018
- [j7]Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang:
Dating ancient paintings of Mogao Grottoes using deeply learnt visual codes. Sci. China Inf. Sci. 61(9): 092105:1-092105:14 (2018) - [j6]Zhitao Lin, De Ma, Jianyi Meng, Linna Chen:
Relative ordering learning in spiking neural network for pattern recognition. Neurocomputing 275: 94-106 (2018) - [c4]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN 2018: 1-8 - [i3]Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang:
Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes. CoRR abs/1810.09168 (2018) - [i2]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR abs/1810.09233 (2018) - [i1]Ming Zhang, Nenggan Zheng, De Ma, Gang Pan, Zonghua Gu:
Efficient Spiking Neural Networks with Logarithmic Temporal Coding. CoRR abs/1811.04233 (2018) - 2017
- [j5]De Ma, Juncheng Shen, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan:
Darwin: A neuromorphic hardware co-processor based on spiking neural networks. J. Syst. Archit. 77: 43-51 (2017) - 2016
- [j4]Juncheng Shen, De Ma, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan:
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks. Sci. China Inf. Sci. 59(2): 1-5 (2016) - [c3]Yanli Yang, De Ma, Ting Yu:
Interpolation by nonuniform B-spline through uniform B-spline filter banks. DSP 2016: 375-378 - 2015
- [j3]Kai Huang, Xiaoxu Zhang, Siwen Xiu, Dan-dan Zheng, Min Yu, De Ma, Kai Huang, Gang Chen, Xiaolang Yan:
Profiling and annotation combined method for multimedia application specific MPSoC performance estimation. Frontiers Inf. Technol. Electron. Eng. 16(2): 135-151 (2015) - 2014
- [c2]Rongjie Yan, De Ma, Kai Huang, Xiaoxu Zhang, Siwen Xiu:
Annotation and analysis combined cache modeling for native simulation. ASP-DAC 2014: 406-411 - 2013
- [j2]Kai Huang, De Ma, Rongjie Yan, Haitong Ge, Xiaolang Yan:
High throughput VLSI architecture for H.264/AVC context-based adaptive binary arithmetic coding (CABAC) decoding. J. Zhejiang Univ. Sci. C 14(6): 449-463 (2013) - [j1]De Ma, Rongjie Yan, Kai Huang, Min Yu, Siwen Xiu, Haitong Ge, Xiaolang Yan, Ahmed Amine Jerraya:
Performance Estimation Techniques With MPSoC Transaction-Accurate Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(12): 1920-1933 (2013) - 2010
- [c1]Chunshu Li, Kai Huang, Xiaolang Yan, Jiong Feng, De Ma, Haitong Ge:
A high efficient memory architecture for H.264/AVC motion compensation. ASAP 2010: 239-245
Coauthor Index
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