Scholar
Yang Liang
Google Scholar ID: jV_fdF0AAAAJ
Apple; The City College of New York
Citations & Impact
Citations
1,889
H-index
24
i10-index
34
Publications
20
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. 2014 IEEE ICMA Best Student Paper Award; 2. 2015 ICIRA Best Student Paper Award Finalist; 3. 2017 Best IBM CRL Intern Research Project; 4. 2018 Third Prize of UTC Graduate Research Poster; 5. 2019 Second Poster Prize of Soft Robotics and Robot Learning Workshop. Published papers include 'RGB-D Camera Calibration and Trajectory Estimation for Indoor Mapping' accepted by Autonomous Robots, 'Concrete Defects Inspection and 3D Mapping using CityFlyer Quadrotor Robot' accepted by IEEE/CAA Journal of Automatica Sinica, among others.
Research Experience
- Interned at Microsoft Research & AI, working on Person Verification and Tracking using Ambient and Ego-centric Video, collaborating with Dr. Hao Jiang and the Ambient Intelligence Team. Also interned at IBM CRL NLP Group (summer 2017), developing a robotic deep DJ system with Dr. Zhong Su. Worked on two projects supported by the US Department of Transportation: 1. Deep Inspection using a Multi-scale network from detection to segmentation, and then back project to 3D space; 2. Flying and Wall Climbing Robots for Inspection, involving ROS, Android, Computer Vision, etc.
Education
- 1. Ph.D. in Electrical Engineering, 2019, The City College/City University of New York, supervised by Dr. Jizhong Xiao at the CCNY Robotics Lab; 2. Ph.D. in Pattern Recognition and Intelligent Systems, 2017, University of Chinese Academy of Sciences; 3. MS in Control System, 2013, University of Science and Technology of China.
Background
- A 3D computer vision researcher with interests in 3D semantic understanding, 3D Object Graph Learning, visual localization and sensor fusion, deep inspection, and navigation for mobile autonomous robots.
Miscellany
- Interests include Visual Inspection, Deep Learning, Visual SLAM, UAV and UGV motion planning and navigation.
Co-authors