LIANG Junwei 梁俊卫

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.