Junle WANG
Principal Researcher / Team Manager @ Tencent
About
• AI research leader at Tencent IEG, leading Turing Lab with a focus on Game AI, multimodal agents, and AI-native systems for games.• Research interests include AI agents, multimodal foundation models, VLA systems, world models, real-time decision making, evaluation frameworks, and data pipelines.• Over 15 years of experience across AI research, computer vision, machine learning, human perception, interactive media, and large-scale applied AI systems.• Experienced in building and leading research teams, driving frontier AI topics from early exploration to practical systems and production scenarios.• Product leadership experience at Tencent Games, including leading Aurora Dance from technical prototype to product launch.Google Scholar: https://scholar.google.fr/citations?user=gMbAGbMAAAAJ&hl=en
China
Shenzhen
Internet
Matlab, Signal Processing, Visual Perception, Image Processing, Eye Tracking, 3DTV, Stereo Vision, Computer Vision, Digital Image Processing, Image Quality, Machine Learning, User Experience, C/C++, Video Coding, Digital Signal Processing, C, Algorithms, Video Processing, LaTeX, Programming
Experience
Principal Researcher / Team Manager
Tencent
Shenzhen
- Head of Turing Lab at Tencent IEG - Working on game agents and multimodal interactive AI (VLA, WAM, long-horizon tasks, evaluation & data pipelines)
Producer / 制作人
Tencent
Shenzhen
腾讯游戏《舞动极光》制作人 / Producer of Aurora Dance from Tencent Games， - Producer of Aurora Dance, a Tencent Games motion-interactive title showcased at Tencent Game Release. - Led the project from technical prototype to product launch, covering core gameplay design, motion interaction, production pipeline, licensing negotiations, launch and operations. - Built a cross-functional team from scratch across design, art, engine, backend, algorithms, operations and project management.
Co-Founder
PicPurify
Nantes Area, France
Working on computer vision, image processing, deep learning and active learning. Picpurify.com is an online realtime image moderation API based on the most advanced computer vision and deep learning technology. This API can be customized to analyze any type of image to be used in different situations.
Research Fellow
Nanyang Technological University Singapore
Singapore
Visual attention and saliency
Assistant professor
Ecole polytechnique Université de Nantes, Polytech Nantes
Greater Nantes Metropolitan Area
- Computer vision, computational modeling of visual attention, image processing, quality assessment, image retargeting - Human visual perception, eye-tracking, psychophysical experimentation, quality of experience, subjective quality assessment - Binocular vision, stereopsis, depth perception, accommodation/vergence, visual discomfort measurement - Coordinated collaborations, supervised engineers and contributed to: --France-Singapore Merlion project “Resourceful Exploitation of Visual Attention for Media Processing ” with Nanyang Technological University, Singapore --Research project on “Perceptual Relevance Based Image Retargeting” with CSIRO, Australia. --Research project on “Visual saliency driven error protection for stereoscopic-3D video” with Kingston University-London, UK
Ph.D. student
Ecole polytechnique Université de Nantes, Polytech Nantes
Nantes, France
Thesis: From 2D to stereoscopic-3D visual saliency: revisiting psychophysical methods and computational modeling. Projects: - Researcher in French National Research Agency (ANR) project “PERSEE - Perceptual Scheme for 2D and 3D video coding” - Researcher in European project “JEDI-Just Explore DImension, End to End High Definition 3DTV for Consumer” (ITEA GOLD award 2012) *****Experimental research on visual perception and vision science - Psychophysical experiments on combination of blur and disparity for depth perception in 3DTV. - Eye-tracking experimentation for 2D/stereoscopic-3D images and corresponding data analysis and computational modeling. - Research on the relationship between bottom-up and top-down visual attention. *****Computational modeling & algorithm development - Developed a computational model of visual attention for stereoscopic 3D image based on the probabilistic modeling of eye-tracking data. - Investigated the added value of visual attention
Education
Nantes Université
Computer Science, Signal and Image Processing
Nantes Université
Electronic Engineering: Communications
South China University of Technology
Signal and Information Processing
South China University of Technology
Information Engineering
Junle WANG's Contact Information
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