Name
Affiliation
Papers
JINCHENG YU
Tsinghua University, Beijing, China
23
Collaborators
Citations 
PageRank 
66
315
19.49
Referers 
Referees 
References 
1101
489
173
Search Limit
1001000
Title
Citations
PageRank
Year
MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model00.342022
PLC-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders00.342022
Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration00.342022
INCAME: Interruptible CNN Accelerator for Multirobot Exploration00.342022
Efficient Computing Platform Design for Autonomous Driving Systems00.342021
GAME: Gaussian Mixture Model Mapping and Navigation Engine on Embedded FPGA00.342021
SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method00.342021
CNN-based Monocular Decentralized SLAM on embedded FPGA00.342020
CNN-based Feature-point Extraction for Real-time Visual SLAM on Embedded FPGA10.352020
INCAME - INterruptible CNN Accelerator for Multi-robot Exploration.00.342020
Inca: Interruptible Cnn Accelerator For Multi-Tasking In Embedded Robots00.342020
Compressed CNN Training with FPGA-based Accelerator.20.362019
On-Chip Instruction Generation for Cross-Layer CNN Accelerator on FPGA00.342019
[DL] A Survey of FPGA-based Neural Network Inference Accelerators.190.932018
Real-Time Object Detection Towards High Power Efficiency00.342018
Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA.481.682018
Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks40.522018
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA.50.492018
RRAM Based Buffer Design for Energy Efficient CNN Accelerator10.372018
A Survey of FPGA Based Neural Network Accelerator.60.422017
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA40.412017
Real-Time Pedestrian Detection and Tracking on Customized Hardware.00.342016
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.2259.572016