De Ma

According to our database, De Ma authored at least 54 papers between 2010 and 2026.

Collaborative distances:

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

2026

NPEva: An NoC-Based Neuromorphic Processors Performance Evaluation Framework for Benchmarking Spiking Neural Networks.

Ziyang Kang, Shiming Li, Lei Wang, De Ma, Gang Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2026

DepAsync: An Asynchronous SNN Accelerator Based on Core-Dependency.

Zhuo Chen, De Ma, Xiaofei Jin, Qinghui Xing, Ouwen Jin, Xin Du, Shuibing He, Gang Pan

IEEE Trans. Computers, January, 2026

S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding.

Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement.

Ruimin Sun, Haoran Xu, De Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware.

Ouwen Jin, Qinghui Xing, Zhuo Chen, Ming Zhang, De Ma, Ying Li, Xin Du, Shuibing He, Shuiguang Deng, Gang Pan

IEEE Trans. Parallel Distributed Syst., November, 2025

DarwinWafer: A Wafer-Scale Neuromorphic Chip.

Xiaolei Zhu, Xiaofei Jin, Ziyang Kang, Chonghui Sun, Junjie Feng, Dingwen Hu, Zengyi Wang, Hanyue Zhuang, Qian Zheng, Huajin Tang, Shi Gu, Xin Du, De Ma, Gang Pan

CoRR, September, 2025

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware.

Zhenhui Chen, Haoran Xu, De Ma

CoRR, May, 2025

FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics.

Zeke Wang, Jie Zhang, Hongjing Huang, Yingtao Li, Xueying Zhu, Mo Sun, Zihan Yang, De Ma, Huajin Tang, Gang Pan, Fei Wu, Bingsheng He, Gustavo Alonso

CoRR, March, 2025

HetSub: A Heterogeneous Multi-NoC With Reconfigurable Long-Range Links for Neuromorphic Systems.

Yitao Li, Youneng Hu, Xiaofei Jin, Ziyang Kang, De Ma, Gang Pan

IEEE Trans. Very Large Scale Integr. Syst., 2025

Post-training quantization for efficient ANN-SNN conversion.

Ruimin Sun, De Ma, Gang Pan

Neural Networks, 2025

SCCS: A neuromorphic architecture supporting synapse compression for converted spiking neural networks.

Yitao Li, Youneng Hu, Xiaofei Jin, De Ma

Microelectron. J., 2025

Training multi-bit Spiking Neural Network with Virtual Neurons.

Haoran Xu, Zonghua Gu, Ruimin Sun, De Ma

Neurocomputing, 2025

An NoC-Based Latency Upper-Bound Model for Reducing Timestep Length in SNN Communication.

Ziyang Kang, Shiming Li, Lei Wang, De Ma, Gang Pan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

An SRAM-Based Digital Compute-in-Memory Macro with Dual-Bit Input Data Sparsification and Restructuring for Energy-Efficient MAC.

Jingyang Chen, De Ma, Zhiping Yu, Xiaolei Zhu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video.

Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors.

Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

HSRL: A Hierarchical Control System Based on Spiking Deep Reinforcement Learning for Robot Navigation.

Bo Yang, Shibo Zhou, Chaohui Lin, Qingao Chai, Rui Yan, De Ma, Gang Pan, Huajin Tang

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Training High Performance Spiking Neural Network by Temporal Model Calibration.

Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes.

Yan Liu, Zehao Chen, Haojie Yan, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making.

Zuojin Tang, Bin Hu, Chenyang Zhao, De Ma, Gang Pan, Bin Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

EvSTVSR: Event Guided Space-Time Video Super-Resolution.

Haojie Yan, Zhan Lu, Zehao Chen, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events.

Zehao Chen, Zhanfeng Liao, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting.

Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning improvement of spiking neural networks with dynamic adaptive hyperparameter neurons.

Jiakai Liang, Chao Wang, De Ma, Ruixue Li, Keqiang Yue, Wenjun Li

Appl. Intell., October, 2024

LSM-Based Hotspot Prediction and Hotspot-Aware Routing in NoC-Based Neuromorphic Processor.

Ziyang Kang, Jingwei Zhu, Xun Xiao, Shiming Li, Lei Wang, De Ma, Gang Pan

IEEE Trans. Very Large Scale Integr. Syst., July, 2024

R-SNN: Region-Based Spiking Neural Network for Object Detection.

Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma

IEEE Trans. Cogn. Dev. Syst., June, 2024

Efficient spiking neural network design via neural architecture search.

Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan

Neural Networks, 2024

How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?

Zuojin Tang, Bin Hu, Chenyang Zhao, De Ma, Gang Pan, Bin Liu

CoRR, 2024

Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting.

Weixing Zhang, Zongrui Li, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan

CoRR, 2024

An Asynchronous Multi-core Accelerator for SNN inference.

Zhuo Chen, De Ma, Xiaofei Jin, Qinghui Xing, Ouwen Jin, Xin Du, Shuibing He, Gang Pan

CoRR, 2024

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor.

Mengting Xu, De Ma, Huajin Tang, Qian Zheng, Gang Pan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing.

Qi Xu, Xuanye Fang, Yaxin Li, Jiangrong Shen, De Ma, Yi Xu, Gang Pan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Event-ID: Intrinsic Decomposition Using an Event Camera.

Zehao Chen, Zhan Lu, De Ma, Huajin Tang, Xudong Jiang, Qian Zheng, Gang Pan

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-Based Detection with Recurrent Spiking Neural Networks.

Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Manipulate Artistic Images.

Wei Guo, Yuqi Zhang, De Ma, Qian Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning.

De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan

CoRR, 2023

Spike-EFI: Spiking Neural Network for Event-Based Video Frame Interpolation.

Dong-Sheng Wu, De Ma

Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023

2022

A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function.

Zhe Pan, Zonghua Gu, Xiaohong Jiang, Guoquan Zhu, De Ma

IEEE Trans. Ind. Electron., 2022

An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks.

Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang

IEEE Trans. Cogn. Dev. Syst., 2022

Darwin-S: A Reference Software Architecture for Brain-Inspired Computers.

Shuiguang Deng, Pan Lv, Ouwen Jin, Schahram Dustdar, Ying Li, De Ma, Zhaohui Wu, Gang Pan

Computer, 2022

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks.

Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Event-based Action Recognition Using Motion Information and Spiking Neural Networks.

Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Efficient Spiking Neural Networks With Logarithmic Temporal Coding.

Ming Zhang, Zonghua Gu, Nenggan Zheng, De Ma, Gang Pan

IEEE Access, 2020

2019

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications.

Juncheng Shen, Xiaolei Zhu, De Ma

IEEE Access, 2019

2018

Relative ordering learning in spiking neural network for pattern recognition.

Zhitao Lin, De Ma, Jianyi Meng, Linna Chen

Neurocomputing, 2018

Dating ancient paintings of Mogao Grottoes using deeply learnt visual codes.

Qingquan Li, Qin Zou, De Ma, Qian Wang, Song Wang

Sci. China Inf. Sci., 2018

Scalable NoC-based Neuromorphic Hardware Learning and Inference.

Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks.

Juncheng Shen, De Ma, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan

Sci. China Inf. Sci., 2016

Interpolation by nonuniform B-spline through uniform B-spline filter banks.

Yanli Yang, De Ma, Ting Yu

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

Profiling and annotation combined method for multimedia application specific MPSoC performance estimation.

Kai Huang, Xiaoxu Zhang, Siwen Xiu, Dan-dan Zheng, Min Yu, De Ma, Kai Huang, Gang Chen, Xiaolang Yan

Frontiers Inf. Technol. Electron. Eng., 2015

2014

Annotation and analysis combined cache modeling for native simulation.

Rongjie Yan, De Ma, Kai Huang, Xiaoxu Zhang, Siwen Xiu

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

Performance Estimation Techniques With MPSoC Transaction-Accurate Models.

De Ma, Rongjie Yan, Kai Huang, Min Yu, Siwen Xiu, Haitong Ge, Xiaolang Yan, Ahmed Amine Jerraya

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013

High throughput VLSI architecture for H.264/AVC context-based adaptive binary arithmetic coding (CABAC) decoding.

Kai Huang, De Ma, Rongjie Yan, Haitong Ge, Xiaolang Yan

J. Zhejiang Univ. Sci. C, 2013

2010

A high efficient memory architecture for H.264/AVC motion compensation.

Chunshu Li, Kai Huang, Xiaolang Yan, Jiong Feng, De Ma, Haitong Ge

Proceedings of the 21st IEEE International Conference on Application-specific Systems Architectures and Processors, 2010