A high efficient memory architecture for H.264/AVC motion compensation. - Chunshu Li; Kai Huang 002; Xiaolang Yan; Jiong Feng; De Ma; Haitong Ge (ASAP, 2010)

High throughput VLSI architecture for H.264/AVC context-based adaptive binary arithmetic coding (CABAC) decoding. - Kai Huang 002; De Ma; Rongjie Yan; Haitong Ge; Xiaolang Yan (J. Zhejiang Univ. Sci. C, 2013)

Performance Estimation Techniques With MPSoC Transaction-Accurate Models. - De Ma; Rongjie Yan; Kai Huang 002; Min Yu 006; Siwen Xiu; Haitong Ge; Xiaolang Yan; Ahmed Amine Jerraya (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Annotation and analysis combined cache modeling for native simulation. - Rongjie Yan; De Ma; Kai Huang 002; Xiaoxu Zhang; Siwen Xiu (ASP-DAC, 2014)

Profiling and annotation combined method for multimedia application specific MPSoC performance estimation. - Kai Huang 002; Xiaoxu Zhang; Siwen Xiu; Dan-dan Zheng 001; Min Yu 006; De Ma; Kai Huang 001; Gang Chen 023; Xiaolang Yan (Frontiers Inf. Technol. Electron. Eng., 2015)

Interpolation by nonuniform B-spline through uniform B-spline filter banks. - Yanli Yang; De Ma; Ting Yu (DSP, 2016)

Darwin: A neuromorphic hardware co-processor based on spiking neural networks. - De Ma; Juncheng Shen; Zonghua Gu 001; Ming Zhang 018; Xiaolei Zhu; Xiaoqiang Xu; Qi Xu; Yangjing Shen; Gang Pan 001 (J. Syst. Archit., 2017)

Scalable NoC-based Neuromorphic Hardware Learning and Inference. - Haowen Fang; Amar Shrestha; De Ma; Qinru Qiu (IJCNN, 2018)

Dating ancient paintings of Mogao Grottoes using deeply learnt visual codes. - Qingquan Li; Qin Zou 001; De Ma; Qian Wang 002; Song Wang 002 (Sci. China Inf. Sci., 2018)

Relative ordering learning in spiking neural network for pattern recognition. - Zhitao Lin; De Ma; Jianyi Meng; Linna Chen (Neurocomputing, 2018)

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications. - Juncheng Shen; Xiaolei Zhu; De Ma (IEEE Access, 2019)

Efficient Spiking Neural Networks With Logarithmic Temporal Coding. - Ming Zhang 018; Zonghua Gu 001; Nenggan Zheng; De Ma; Gang Pan 001 (IEEE Access, 2020)

Event-based Action Recognition Using Motion Information and Spiking Neural Networks. - Qianhui Liu; Dong Xing; Huajin Tang; De Ma; Gang Pan 001 (IJCAI, 2021)

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. - Lang Feng 002; Qianhui Liu; Huajin Tang; De Ma; Gang Pan 001 (IJCAI, 2022)

Darwin-S: A Reference Software Architecture for Brain-Inspired Computers. - Shuiguang Deng; Pan Lv; Ouwen Jin; Schahram Dustdar; Ying Li 001; De Ma; Zhaohui Wu 001; Gang Pan 001 (Computer, 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)

A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function. - Zhe Pan; Zonghua Gu 001; Xiaohong Jiang 002; Guoquan Zhu; De Ma (IEEE Trans. Ind. Electron., 2022)

Spike-EFI: Spiking Neural Network for Event-Based Video Frame Interpolation. - Dong-Sheng Wu; De Ma (PSIVT, 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 001 (CoRR, 2023)

Learning to Manipulate Artistic Images. - Wei Guo; Yuqi Zhang; De Ma; Qian Zheng (AAAI, 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 (ECCV (60), 2024)

Event-ID: Intrinsic Decomposition Using an Event Camera. - Zehao Chen; Zhan Lu; De Ma; Huajin Tang; Xudong Jiang 001; Qian Zheng; Gang Pan 001 (ACM Multimedia, 2024)

RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing. - Qi Xu; Xuanye Fang; Yaxin Li; Jiangrong Shen; De Ma; Yi Xu 008; Gang Pan 001 (ACM Multimedia, 2024)

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor. - Mengting Xu; De Ma; Huajin Tang; Qian Zheng; Gang Pan 001 (NeurIPS, 2024)

An Asynchronous Multi-core Accelerator for SNN inference. - Zhuo Chen; De Ma; Xiaofei Jin; Qinghui Xing; Ouwen Jin; Xin Du 002; Shuibing He; Gang Pan 001 (CoRR, 2024)

Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting. - Weixing Zhang; Zongrui Li 001; De Ma; Huajin Tang; Xudong Jiang 001; Qian Zheng; Gang Pan 001 (CoRR, 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 001; Bin Liu (CoRR, 2024)

Efficient spiking neural network design via neural architecture search. - Jiaqi Yan; Qianhui Liu; Malu Zhang; Lang Feng 002; De Ma; Haizhou Li 001; Gang Pan 001 (Neural Networks, 2024)

R-SNN: Region-Based Spiking Neural Network for Object Detection. - Xiaobo Jin; Ming Zhang 018; Rui Yan 005; Gang Pan 001; De Ma (IEEE Trans. Cogn. Dev. Syst., 2024)

LSM-Based Hotspot Prediction and Hotspot-Aware Routing in NoC-Based Neuromorphic Processor. - Ziyang Kang; Jingwei Zhu; Xun Xiao; Shiming Li; Lei Wang 011; De Ma; Gang Pan 001 (IEEE Trans. Very Large Scale Integr. Syst., 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., 2024)

EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting. - Zehao Chen; Zhan Lu; De Ma; Huajin Tang; Xudong Jiang 001; Qian Zheng; Gang Pan 001 (AAAI, 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 001 (AAAI, 2025)

EvSTVSR: Event Guided Space-Time Video Super-Resolution. - Haojie Yan; Zhan Lu; Zehao Chen; De Ma; Huajin Tang; Qian Zheng; Gang Pan 001 (AAAI, 2025)

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors. - Lang Feng 002; Jiahao Lin; Dong Xing; Li Zhang 045; De Ma; Gang Pan 001 (AAMAS, 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 (ISCAS, 2025)

An NoC-Based Latency Upper-Bound Model for Reducing Timestep Length in SNN Communication. - Ziyang Kang; Shiming Li; Lei Wang 011; De Ma; Gang Pan 001 (ISCAS, 2025)

Training multi-bit Spiking Neural Network with Virtual Neurons. - Haoran Xu; Zonghua Gu 001; Ruimin Sun; De Ma (Neurocomputing, 2025)

Post-training quantization for efficient ANN-SNN conversion. - Ruimin Sun; De Ma; Gang Pan 001 (Neural Networks, 2025)

FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics. - Zeke Wang; Jie Zhang 081; Hongjing Huang; Yingtao Li; Xueying Zhu; Mo Sun 001; Zihan Yang; De Ma; Huajin Tang; Gang Pan 001; Fei Wu 001; Bingsheng He; et al. (CoRR, 2025)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware. - Zhenhui Chen; Haoran Xu; De Ma (CoRR, 2025)