Xuelian Cheng
Adjunct Lecturer at Monash University
Suzhou City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolXuelian Cheng is a Lecturer and Research Fellow with eight years of experience at the intersection of computer vision, XR and deep learning, currently based between Monash University and Suzhou. She completed a PhD in Electrical & Computer Systems Engineering at Monash and has applied her research in industry internships at SenseTime and Tencent, focusing on 3D vision, dense depth estimation and XR-enabled computer vision systems. Her work spans both teaching—supporting neural networks and computer vision courses—and hands-on R&D, blending academic rigor with product-oriented research. Colleagues describe her as someone who bridges theory and application, turning complex vision models into practical prototypes for augmented reality and stereo systems.
8 years of coding experience
Australian National UniversityMaster of Engineering - MEng, Communication and Media Studies, Master of Engineering - MEng, Communication and Media Studies at Northwestern Polytechnical UniversityBachelor of Engineering - BE, Information Engineering, Bachelor of Engineering - BE, Information Engineering at Xi'an University of Posts and TelecommunicationsDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Monash University
Github Skills (16)
camouflaged-object-detection10
stereo9
image-matching9
matching9
depth-estimation9
nas8
lidar6
kinect4
robotics3
3d-reconstruction3
rendering2
tensorflow2
slam2
inverse-problems2
computer-vision2
Programming languages (2)
Github contributions (5)
XuelianCheng/SLT-Net
Mar 2022 - Sep 2022
Implicit Motion Handling for Video Camouflaged Object Detection (CVPR 2022)
Contributions:22 commits, 8 pushes, 3 comments in 6 months
camouflaged-object-detection
XuelianCheng/NAS-PaperReading
Dec 2019 - Apr 2020
Contributions:42 commits, 3 pushes in 3 months
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