Portrait of Hao Liu

Hao Liu

刘浩

Research Professor (Zijiang Young Scholar), Ph.D. Supervisor, and Assistant to the Dean

School of Geospatial Artificial Intelligence

East China Normal University (ECNU), Shanghai, China

青年研究员（“双百人才计划”紫江青年学者），博士生导师，院长助理

华东师范大学空间人工智能学院

Room 507, School of Geospatial Artificial Intelligence
No. 2, Lane 33, Yangqi Road, Xuhui District, Shanghai (上海市徐汇区扬启路33弄2号)
Google Scholar ECNU Profile GitHub ORCID Email

I am a Research Professor (Zijiang Young Scholar) and Ph.D. Supervisor at the School of Geospatial Artificial Intelligence, East China Normal University (ECNU). My research interests lie in spatial intelligence, 3D vision, and point cloud processing. The overarching goal of my research is to enable machines to reliably perceive, understand, and reconstruct complex 3D environments. Before that, I was a Postdoctoral Research Fellow at the College of Computing and Data Science, Nanyang Technological University, working with Prof. Ying He. I received my Ph.D. from Sun Yat-sen University in 2023, supervised by Prof. Yulan Guo.

In 2025, I was selected for the Shanghai Overseas High-Level Talent Program (上海市海外高层次人才计划) and the Ministry of Education's Overseas Postdoctoral Talent Introduction Program (教育部博士后海外引才专项).

OPENINGS

Ph.D. / Master / RA / Postdoc — I am always looking for self-motivated students, research interns, and researchers to work on 3D vision and spatial intelligence, covering topics such as multi-agent collaborative 3D detection, 3D scene reconstruction, and generation.

If interested, please send me your resume.

News

Research Funding

I gratefully acknowledge the following organizations and programs for supporting my research.

在研

结题

Publications

All Publications Monograph ×1, TPAMI ×1, ICML ×1, AAAI ×1, ECCV ×1, SCIS x1, TIP ×1, TMM ×3, TITS ×1, TCSVT ×3, TGRS ×1, TIM ×2, WACV ×2, ICPR ×1

Type-Specific Prototype-Enhanced Heterogeneous Graph Learning for 3D Scene Graph Prediction

Yanni Ma, Hao Liu, Yun Pei, Yulan Guo, Theo Gevers, Martin R. Oswald

Science China Information Science, 2026. SCIS (CCF-A)

Awards

Teaching

Service