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2020 – today
- 2024
[j9]Cong Shi
, Xiang Fu, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian:
Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine With On-Chip Learning. IEEE Trans. Circuits Syst. II Express Briefs 71(10): 4526-4530 (2024)- 2023
- [j8]Jialong Liu, Xichuan Zhou, Zhenlong Wan, Xuefei Yang, Wei He, Rulong He, Yingcheng Lin:
Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE. Sensors 23(19): 8101 (2023) - 2022
- [j7]Ling Zhang, Xuefei Yang, Zhenlong Wan, Dingxin Cao, Yingcheng Lin:
A Real-Time FPGA Implementation of Infrared and Visible Image Fusion Using Guided Filter and Saliency Detection. Sensors 22(21): 8487 (2022) - 2021
- [j6]Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo:
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features. Neurocomputing 425: 96-106 (2021) - [j5]Wei He, Dehang Yang, Haoqi Peng, Songhong Liang, Yingcheng Lin:
An Efficient Ensemble Binarized Deep Neural Network on Chip with Perception-Control Integrated. Sensors 21(10): 3407 (2021) - [j4]Ling Zhang, Jing Yang, Cong Shi, Yingcheng Lin, Wei He, Xichuan Zhou, Xu Yang, Liyuan Liu, Nanjian Wu:
A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps. Sensors 21(18): 6006 (2021) - [j3]Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi:
A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features. IEEE Trans. Circuits Syst. II Express Briefs 68(3): 1013-1017 (2021) - [c5]Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi:
A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors. ICTA 2021: 51-52 - 2020
- [j2]Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi:
A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification. Sensors 20(17): 4715 (2020) - [j1]Wei He, Yanmei Huang, Zanhao Fu, Yingcheng Lin:
ICONet: A Lightweight Network with Greater Environmental Adaptivity. Symmetry 12(12): 2119 (2020) - [c4]Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi:
A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution. ICTA 2020: 63-64
2010 – 2019
- 2019
- [c3]Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo:
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression. AAAI 2019: 5949-5956 - [c2]Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo:
20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip. ASICON 2019: 1-4 - [c1]Jinguo Huang, Yingcheng Lin, Wei He, Xichuan Zhou, Cong Shi, Nanjian Wu, Gang Luo:
High-speed Classification of AER Data Based on a Low-cost Hardware System. ASICON 2019: 1-4
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