实验室队伍

Faculty

Si Liu

Professor, Doctoral Supervisor

National High-level Young Talent Deputy Secretary-General & Council Member, CSIG Associate Editor, IEEE T-PAMI

Si Liu is a Professor at Beihang University. Her research focuses on embodied intelligence and multimodal content understanding. She has published extensively in top-tier venues (CCF-A), including 17 papers in IEEE T-PAMI, with over 20,000 Google Scholar citations. She has received prestigious awards including the ACM MM Best Paper Award (2013, 2021), ACM MM Best Technical Demo Award (2012), and IJCAI Best Video Award (2021). She is also a recipient of the National Science and Technology Progress Award (Second Class).

Prof. Liu has led numerous high-profile projects funded by the NSFC (Excellent Young Scientists Fund) and the National Science and Technology Innovation 2030 Major Project. Her team has secured 10+ championships in international competitions at CVPR, ICCV, and ACL. She serves as an Associate Editor for IEEE T-PAMI, T-MM, T-CSVT, and CVIU, and has been an Area Chair for CVPR, ICCV, ECCV, NeurIPS, and ACM MM. Her developed technologies are widely deployed at leading industry giants such as Baidu, Alibaba, Tencent, Huawei, SenseTime, Xiaomi, and Meituan.

She received her Ph.D. from the Institute of Automation, Chinese Academy of Sciences (CASIA). Prior to joining Beihang, she was a Postdoctoral Fellow at the National University of Singapore and a 'Star-Track' Researcher at Microsoft Research Asia (MSRA). A dedicated mentor, she has guided undergraduates to publish first-author papers in CCF-A venues and win the Beihang Fengru Cup First Prize. Her students have earned direct Ph.D. admissions to top institutions including Cambridge, ETH Zurich, NUS, Tsinghua, and Peking University.

Linjiang Huang

Tenure-Track Associate Professor, Doctoral Supervisor

National High-level Young Talent Generative AI & Embodied Intelligence

Linjiang Huang is a Tenure-Track Associate Professor at the School of Artificial Intelligence, Beihang University. His research interests encompass generative AI and embodied intelligence. He has authored over 10 papers as first/corresponding author in premier journals and conferences, including IEEE T-PAMI, CVPR, ICCV, ECCV, and AAAI.

He contributes to the academic community as a Program Committee member or reviewer for major conferences (CVPR, ICCV, ICML, NeurIPS, ICLR) and top-tier journals (IEEE T-PAMI, IJCV). He is actively recruiting graduate students with strong mathematical foundations and programming skills who are passionate about computer vision and robotics.

He earned his B.S. and M.S. from Huazhong University of Science and Technology (HUST) and his Ph.D. from the Institute of Automation, Chinese Academy of Sciences (CASIA). Before joining Beihang, he was a Postdoctoral Fellow at the Multimedia Laboratory (MMLab) of The Chinese University of Hong Kong.

Jiahao Xie

Tenure-Track Associate Professor, Doctoral Supervisor

National High-level Young Talent Area Chair, ECCV 2026 7,000+ GitHub Stars (OpenMMLab)

Jiahao Xie is a Tenure-Track Associate Professor at Beihang University. His research focuses on foundation models, multimodal understanding, and embodied intelligence. He has published 10+ CCF-A papers in top venues such as IJCV, CVPR, ICCV, NeurIPS, and ICLR over the past five years. Notably, he was the international champion in all four tracks of the Facebook AI Self-Supervised Learning Challenge.

Jiahao is a core contributor to OpenMMLab, having developed the widely-used open-source projects MMSelfSup and MMPreTrain, which have surpassed 700,000 downloads. He serves as an Area Chair for ECCV 2026 and has been recognized as an Outstanding Reviewer for CVPR (2021, 2023) and ICLR (2025). He is also a recipient of the National Scholarship for Outstanding Students Abroad.

He received his Ph.D. in 2023 from the Multimedia Laboratory at Nanyang Technological University (MMLab@NTU) and subsequently served as a Postdoctoral Researcher at the Max Planck Institute for Informatics (MPII) from 2023 to 2025.

Yangyang Guo

Tenure-Track Associate Professor, Doctoral Supervisor

National High-level Young Talent Area Chair, ACM MM & IJCAI

Yangyang Guo is a Tenure-Track Associate Professor at the Beihang Hangzhou International Innovation Institute. His current research focuses on trustworthy large models and trustworthy embodied intelligence. Over the past five years, he has published over 20 CCF-A papers, including contributions to IEEE T-PAMI.

He has been honored with the ACM MM 2022 Best BNI Paper Award and the sole Gold Medal at the ICML 2024 Workshop Challenge. He serves the community as an Area Chair (Senior PC) for flagship conferences such as ACM MM and IJCAI.

He obtained his Ph.D. from Shandong University and completed his postdoctoral training at the National University of Singapore (NUS) between 2021 and 2026.