Yingcheng Lin

According to our database, Yingcheng Lin authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine With On-Chip Learning.

Cong Shi, Xiang Fu, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian

IEEE Trans. Circuits Syst. II Express Briefs, October, 2024

2023

Multi-Scale FPGA-Based Infrared Image Enhancement by Using RGF and CLAHE.

Jialong Liu, Xichuan Zhou, Zhenlong Wan, Xuefei Yang, Wei He, Rulong He, Yingcheng Lin

Sensors, October, 2023

2022

A Real-Time FPGA Implementation of Infrared and Visible Image Fusion Using Guided Filter and Saliency Detection.

Ling Zhang, Xuefei Yang, Zhenlong Wan, Dingxin Cao, Yingcheng Lin

Sensors, 2022

2021

A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features.

Wei He, Jie Zhang, Yingcheng Lin, Xichuan Zhou, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi

IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps.

Ling Zhang, Jing Yang, Cong Shi, Yingcheng Lin, Wei He, Xichuan Zhou, Xu Yang, Liyuan Liu, Nanjian Wu

Sensors, 2021

An Efficient Ensemble Binarized Deep Neural Network on Chip with Perception-Control Integrated.

Wei He, Dehang Yang, Haoqi Peng, Songhong Liang, Yingcheng Lin

Sensors, 2021

CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.

Tengxiao Wang, Cong Shi, Xichuan Zhou, Yingcheng Lin, Junxian He, Ping Gan, Ping Li, Ying Wang, Liyuan Liu, Nanjian Wu, Gang Luo

Neurocomputing, 2021

A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

2020

ICONet: A Lightweight Network with Greater Environmental Adaptivity.

Wei He, Yanmei Huang, Zanhao Fu, Yingcheng Lin

Symmetry, 2020

A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.

Wei He, Jinguo Huang, Tengxiao Wang, Yingcheng Lin, Junxian He, Xichuan Zhou, Ping Li, Ying Wang, Nanjian Wu, Cong Shi

Sensors, 2020

A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution.

Yingcheng Lin, Rui Li, Wei He, Xichuan Zhou, Junxian He, Ping Li, Ying Jiang, Liyuan Liu, Nanjian Wu, Cong Shi

Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

2019

High-speed Classification of AER Data Based on a Low-cost Hardware System.

Jinguo Huang, Yingcheng Lin, Wei He, Xichuan Zhou, Cong Shi, Nanjian Wu, Gang Luo

Proceedings of the 13th IEEE International Conference on ASIC, 2019

20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip.

Junxian He, Xichuan Zhou, Yingcheng Lin, Chonglei Sun, Cong Shi, Nanjian Wu, Gang Luo

Proceedings of the 13th IEEE International Conference on ASIC, 2019

An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression.

Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, Cheng Zhuo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019