Tianliang Zhang
Computer Vision Engineer, IDVerse at LexisNexis Risk Solutions
Canberra, Australia
Summary
👤
Senior🎓
Top SchoolTianliang Zhang is a computer vision engineer with 11 years of experience bridging deep learning research and industrial AI, currently at LexisNexis Risk Solutions (IDVerse). He holds a Ph.D. in Signal and Information Processing and has published at CVPR and IEEE Transactions, with award-winning work including the ICCV LVIS Challenge championship. Prior roles at Tencent YouTu Lab, Huawei Noah’s Ark Lab, and 3irobotix show a pattern of moving research into production—most recently leading vision and multi-modal sensing for intelligent robotic cleaning. His expertise spans object detection, weakly supervised learning, and self-learning techniques, with a knack for optimizing algorithms for real-world systems. Based in Canberra, he pairs rigorous academic training with hands-on product delivery and has been recognized internally (Tencent Outstanding Employee) for driving impact. An under-the-radar strength is his ability to translate complex detection models into lightweight, deployable solutions for embedded and edge platforms.
10 years of coding experience
Doctor of Philosophy - PhD, Signal and Information Processing, Doctor of Philosophy - PhD, Signal and Information Processing at University of Chinese Academy of SciencesBachelor's degree, Electronic Information Engineering, Bachelor's degree, Electronic Information Engineering at Wuhan University of Technology
Github Skills (47)
python10
machine-learning10
deep-learning10
gpu10
annotations9
generative-adversarial-network9
caffe9
matlab9
numpy9
classification9
semantic-segmentation9
acceleration9
autograd9
tensorflow9
neural-network9
Programming languages (4)
Github contributions (5)
xingkongliang/Pedestrian-Detection
Sep 2018 - Apr 2020
Contributions:13 commits, 11 pushes, 1 comment in 1 year 7 months
xingkongliang/blog
Nov 2016 - Mar 2018
Contributions:54 pushes, 5 branches in 1 year 4 months
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