Dr. Shenlu Jiang Website

Introduction

Jiang Shenlu received his undergraduate degree in Computer Science from Shanghai Ocean University in 2015 and a Ph.D. degree in Computer Electronics and Electrical Engineering from Sungkyunkwan University in 2020 (1.5 years in advance). He worked as a Computer Vision Engineer at Shark Ninja from 2015 to 2016, and as a Research Assistant at The Chinese University of Hong Kong and The Hong Kong Polytechnic University from 2018 to 2020. He served as a Postdoctoral Researcher at INRIA from 2020 to 2021 and is currently an Assistant Professor at the Macau University of Science and Technology since 2021.

Email: shenlujiang@must.edu.mo

Google Scholar : https://scholar.google.com/citations?user=_j66KpqcyI0C&hl=en&oi=ao


Education

Phd. of Engineering supported by Samsung Funding (2017.3-2020.8, complete 1.5 years in advance)

-          Major: Computer Engineering

-          Sungkyunkwan University

-          Supervisor: Prof. Tae-Yong Kuc

-          Duties: SLAM and SFM in indoor environment (vision part), Deep learning in object detection, semantic segmentation for street view detection, visual tracking and their application in ground and aerial robots (person following robots and multi-story self-navigating robots).

 

Bachelor of Engineering (2011.8-2015.6)

-          Major: Computer Science and Technology

-          Shanghai Ocean University

-          Supervisor: Dr. Zhonghua Hong

-          Duties: Self-navigation robot in uncertain environment (vision part), Structure from motion in UAV imagery and its application in collapsed buildings detection after earthquake happening


Working Experience

Assistant professor (2021.7-)

-          The Macau University of Science and Technology (Rank 101-125 in Computer Science, 201-250 world rank)

-          Work: Academic staff

 

Postdoctoral Researcher (2020.10-2021.4)

-          INRIA: French National Institute for Research in Computer Science and Automatic Control

-          Work: Deep learning in 3D vision


Research Assistant (2020.3-2020.9)

-          The Chinese University of Hongkong

-          Work: Deep learning in remote sensing.

 

Research Assistant (2018.9-2019.12)

-          Hongkong Polytechnic University

-          Work: Deep learning in remote sensing, land use evaluation, damage evaluation on buildings and roads after earthquake through UAVs images.

 

Computer Vision Researcher (2015.9-2016.10)

-          Shark Ninja (Beijing)

-          Work: Person Following robot, SLAM, SFM


Academic Activity

-         Program Committee Member in MICAD 2024

-         Early Career Editorial Board Member in Biomimetic Intelligence and Robotics(2024-present)         

-     Associate Editor in International Conference the International Conference on Robotics and Automation (ICRA 2024)

-          Guest Editor in Electronics on Special Issue "Applications of Deep Neural Network for Smart City"

-          Edition Committee Member in the 2021 XXIVTH ISPRS Congress

-          Committee Member in Robot Master Macau.

Awards

Dean scholarship of Sungkyunkwan University

Outstanding oversea student award by Brain Korea 21 project

Best paper in 2017 International Symposium on Computer Science and Intelligent Controls.

Journals

 

S. Jiang, R. Cui, R. Wei, Z. Fu, Z. Hong, G. Feng, Tracking by Segmentation with Future Motion Estimation Applied on Person-following Robot, Frontiers in Neurorobotics, 2023 (JCR Q2)


S. Jiang, Y. Tarabalka, Z. Hong, W. Yao, Space-to-speed Architecture Supporting Acceleration for Building Segmentation on VHR Images, ISPRS Journal of Photogrammetry and Remote Sensing, 2023, (JCR Q1)

 

S. Jiang, Z. Hong*. Unexpectedly Dynamic Obstacle Monocular Detection in Driver View. IEEE Intelligent Transportation Systems Magazine, 2022, (JCR Q1)

 

Z. Hong, Y. Yang, J. Liu*, S. Jiang* etc. Enhancing 3D Reconstruction Model by Deep Learning and Its Application in Building Damage Assessment after Earthquake, Applied Sciences-Basel, 2022 (JCR Q2)

 

Y. Bian, E. Zhang, R. Xie, J. Wang, S. Jiang*, Swin Transformer UNet for Very High Resolution Image Dehazing, Sensors and Materials, accepted, 2022. (JCR Q3)

 

Z. Hong, T. Yang, X. Tong, Y. Zhang, S. Jiang etc. Multi-scale ship detection from SAR and optical imagery via a more accurate YOLOv3. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 (JCR Q1)

 

Z. Hong, S. Xu, Y. Zhang, R. Zhou, Y. Han, J. Wang, S. Yang, J. Liu, S. Jiang*. Designing and Implementing a Low-cost Unmanned Aerial Vehicle Based on Beidou/GPS. Sensors and Materials, 2020. (JCR Q3)

 

G. Li, S. Jiang, etc, Depth-wise Asymmetric Bottleneck with Point-wise Aggregation Decoder for Real-time Semantic Segmentation in Urban Scenes, IEEE ACCESS, 2020. (JCR Q2)

 

T. Yang+, S. Jiang+, Z. Hong, T.Y. Kuc etc., Sea-land Segmentation Using Deep Learning Techniques for Landsat-8 OLI Imagery, Marine Geodesy, 2020 (JCR Q3)

 

S. Jiang, W. Yao, M. Wong, G. Li, Z. Hong, An Optimized Deep Neural Network Detecting Small and Narrow Rectangular Objects in Google Earth Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 (JCR Q1)

 

S. Jiang, W. Yao, M. Wong, M. Hang, Z. Hong, E. Kim, S. Joo and T. Kuc, Automatic Elevator Button Localization Using a Combined Detecting and Tracking Framework for Multi-story Navigation, IEEE ACCESS, 2019 (JCR Q1)

 

Y Yang, N Chen, S Jiang,Collaborative strategy for visual object tracking,Multimedia Tools and Applications 77 (6), 7283-7303,2018 (JCR Q1)

 

S Jiang, W Yao, Z Hong, L Li, C Su, T Kuc,A Classification-Lock Tracking Strategy Allowing a Person-Following Robot to Operate in a Complicated Indoor Environment,Sensors 18 (11), 3903,2018 (JCR Q1)

 

Z Hong, X Tong, W Cao, S Jiang, P Chen, S Liu,Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery,Journal of Applied Remote Sensing 9 (1), 097292,2015 (JCR Q2)

 

+ means dual first author * corresponding author

 

Conference

K. Wang, S. Lu, S. Jiang*, Unseen Obstacle Avoidance Using Optical Camera, 25th International Conference on Human-computer Interaction (HCII 2023), 2023.


K. Wang, S. Lu, S. Jiang*, Unseen Obstacle Avoidance Using Optical Camera, 25th International Conference on Human-computer Interaction (HCII 2023), 2023.

S. Jiang, G.Li, W. Yao, Z. Hong, T.Y. Kuc, Dual Pyramids Encoder-Decoder Network for Semantic Segmentation on Ground and Aerial Imagery, XXIII ISPRS Congress, 2020.

 

S. Jiang, Y. Kowk, M. Wong, Extraction OF Rocks and Boulders on Natural Terrain  Using Semantic Segmentation, acrs2019.

 

S. Jiang, W. Yao, and M. Heurich,Dead Wood Detection Based on Semantic Segmentation of VHR Aerial CIR Imagery Using Optimized FCN-DENSENET, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W16, 127–133, 2019

 

L Li, H Kim, S Jiang, Y Kim, T Kuc,Feature saliency based SLAM of mobile robot,2018 International Conference on Electronics, Information, and Communication (ICEIC),2018

 

S Jiang, M Hang, T Kuc, S Joo, S Yang, Zhonghua Hong,Classification-lock tracking approach applied on person following robot,2017 IEEE International Conference on Robotics and Biomimetics (ROBIO),2017

 

S Jiang, L Li, M Hang, T Kuc,An Adaptive 2D Tracking Approach for Person Following Robot,2017 International Symposium on Computer Science and Intelligent Controls (ISCSIC),2017 (Best paper)

 

S Jiang, Z Hong, Y Zhang, Y Han, R Zhou, B Shen,Automatic path planning and navigation with stereo cameras,2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 2014


Current Students

Mr. Enguang Zhang , PhD.  2021.9-pre

Mr. Yifeng Liu, Msc+PhD. 2020.9- pre

Mr. Zhongda Wang, M.Eng, 2021.9-pre

Alumni 

Mr. Heng Zhang, M.Eng. (Now PhD in HKU)

Mr. Zikai Li, M.Eng, (Now working in Wenzhou academy)

Mr. Zhiqiang Liang, M.Eng, (Now working in Beijing Baidu)

Mr.  Yuxin Bian, B.Eng, (Now Master in HKU)

Mr. Rixin Xie, B.Eng, (Now Master in KCL)

Mr. Yipeng Tao, B.Eng, (Now Master in KCL)