Jinsheng Wang
Technical Staff at Alibaba
Beijing, China
Summary
👤
Senior🎓
Top SchoolJinsheng Wang is a technical staff engineer with 8 years of experience specializing in multimodal world models and reinforcement learning, currently driving world-model research at Alibaba. He has a strong research-to-product background with roles at Microsoft Research Asia, Baidu Research, SenseTime, DJI, and BAAI where he contributed to multimodal generalists (Emu3/Emu3.5) and representation models (Uni3D, EVA-CLIP-18B). Trained in EECS at Peking University, he blends academic rigor with applied engineering to bridge multimodal representations and decision-making systems. Known for shipping foundational model components and practical RL integrations, he focuses on systems that unify vision, language and interaction. Based in Beijing, he maintains an active technical presence online and in code, signaling a continuous drive to translate cutting-edge research into deployable capabilities.
8 years of coding experience
Master's degree, EECS, Master's degree, EECS at Peking University
Github Skills (40)
benchmark10
multi-camera10
toolbox10
image-segmentation10
object-detection10
3d-camera10
faster-rcnn9
pytorch9
3d-object-detection9
semantic-segmentation9
openmmlab9
sensor-fusion9
instance-segmentation9
segmentation9
vision-transformer9
Programming languages (4)
Github contributions (5)
Wolfwjs/GANet
Apr 2022 - Nov 2022
A Keypoint-based Global Association Network for Lane Detection. Accepted by CVPR 2022
Contributions:14 commits, 2 PRs, 16 pushes in 6 months
pytorchlane-detectionassociationdeep-learningcomputer-vision
Wolfwjs/Wolfwjs
May 2022 - Sep 2023
Contributions:11 pushes, 1 branch in 1 year 4 months
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