LIANG Junwei 梁俊卫


卡内基梅隆大学博士,前腾讯高级研究员(T10)—— Ph.D. from Carnegie Mellon University, Former Senior Researcher (T10) at Tencent YouTu Lab, Shanghai
研究由美国政府IARPA、NIST资助,相关开源研究被多个自动驾驶公司采用,并被Waymo邀请内部分享 —— Research was funded by the U.S. government IARPA and NIST, related open source research was adopted by several autonomous driving companies, invited by Waymo for internal sharing
近五年在CVPR、NeurIPS、TPAMI等发表论文31篇,含CCF A类一作论文10篇,谷歌学术引用量1200余次(包含三篇领域内高引用论文,Github领域内热度第一)—— Published 31 papers on CVPR, NeurIPS, TPAMI, etc., Cited over 900 times (3 frequently-cited papers in the field, the most popular in GitHub field).
 研究被机器之心、量子位、将门创投、华盛顿邮报、纽约时报等媒体机构报道与邀请报告 —— Research was invited for reports by medias such as Heart of the Machine, Qubit, J Ventures, The Washington Post and the New York Times


梁俊卫,香港科技大学(广州)人工智能学域助理教授/博士生导师/独立PI,香港科技大学兼任助理教授,创立并领导智能感知与预测研究组。梁博士在卡内基梅隆大学计算机学院取得博士与硕士学位,毕业后曾担任腾讯优图实验室的高级研究员。他曾获得2019年百度奖学金(全球10名),2018年雅虎奖学金,2020年世界人工智能大会明日之星云帆奖,2021年ICCV博士奖,以及多项国际AI比赛包括视频行为识别的冠军。梁博士的研究工作被包括美国华盛顿邮报、纽约时报以及机器之心等媒体报道。梁博士关于轨迹预测的相关研究受到自动驾驶领域业界广泛关注,受邀在Waymo、将门创投、百度、华为等公司以及国际会议做学术报告。梁博士的研究方向为计算机视觉的感知与预测,包括长视频中的动作识别、大规模视频预训练、3D行为识别与仿真训练、行人轨迹预测、长时时序预测等。他在近五年内于CVPR、ECCV、ICCV、IEEE TPAMI、NeurIPS、AAAI、IJCAI、ACM Multimedia等国际顶级期刊会议发表论文30+篇(包含三篇领域内高引文章),谷歌学术引用量1200+, h-index 16。

Dr. Junwei Liang is a tenure-track Assistant Professor (TTAP) at The Hong Kong University of Science and Technology (Guangzhou). He is also an affiliated TTAP of HKUST CSE. He was a senior researcher at Tencent Youtu Lab working on cutting-edge computer vision research and applications. Prior to that, he received his Ph.D. degree from Carnegie Mellon University, working with Prof. Alexander Hauptmann. He is the recipient of the Baidu Scholarship, Yahoo Fellowship and ICCV Doctoral Consortium Award. He received the Rising Star Award at the World AI Conference in 2020. He is the winner of several public safety video analysis competitions, including NIST ASAPS and TRECVID ActEV. His work has helped and been reported by major news agencies like the Washington Post and New York Times. His research interests include human trajectory forecasting, action recognition, and large-scale computer vision and video analytics in general. His mission: develop AI technologies for social good.

Honors & Awards


Receiver of Baidu Scholarship (2019)


Receiver of Yahoo! Fellowship (2018)


World AI Conference – AI Rising Stars (2020)

Research Interest

 智能感知与预测  Intelligent Perception & Prediction

  计算机视觉  Computer Vision

 行为识别  Behavior Recognition

 多模态处理  Multimodal Processing

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