Portrait of Hao Liu

Hao Liu

刘浩

Research Professor (Zijiang Young Scholar) Assistant to the Dean of

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),博导,院长助理

华东师范大学空间人工智能学院

Room B501, Estuary and Coastal Building
Minhang Campus, Shanghai 200241

I am a Zijiang Young Scholar, Principal Investigator, 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, point cloud understanding, 3D object detection and tracking, scene understanding, and 3D reconstruction. The overarching goal of my research is to enable machines to perceive, understand, and reconstruct complex three-dimensional environments reliably.

Previously, I was a Postdoctoral Research Fellow at 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, my M.E. from the National University of Defense Technology in 2018, and my B.E. from the University of Electronic Science and Technology of China in 2016.

OPENINGS

Ph.D. / Master / RA — I am always looking for self-motivated students and research interns to work on 3D vision and spatial intelligence, covering topics such as point cloud understanding, 3D detection and tracking, scene understanding, and reconstruction.

Interested? Send me your resume and transcripts.

News

Publications

2026

2025

2024

2023

Earlier publications

  1. DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences. IEEE TIM, 2022.
  2. Spatial-Temporal Transformer for 3D Point Cloud Sequences. WACV, 2022.
  3. Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark. IEEE TGRS, 2021.
  4. Semantic Context Encoding for Accurate 3D Point Cloud Segmentation. IEEE TMM, 2020.
  5. Deep Learning for 3D Point Clouds: A Survey. IEEE TPAMI, 2020.
  6. Robust Long-Term Tracking via Instance Specific Proposals. IEEE TIM, 2019.
  7. Global Context Reasoning for Semantic Segmentation of 3D Point Clouds. WACV, 2020.
  8. Long-Term Object Tracking with Instance Specific Proposals. ICPR, 2018.

About

Appointments & Education

  • 2025–present: Zijiang Young Scholar, ECNU
  • 2023–2025: Postdoctoral Research Fellow, NTU
  • 2023: Ph.D., Sun Yat-sen University
  • 2018: M.E., National University of Defense Technology
  • 2016: B.E., University of Electronic Science and Technology of China

Selected Honors

  • Excellent Graduate, Sun Yat-sen University, 2023
  • Wang Shujun Donation Scholarship, 2023
  • National Scholarship, Ministry of Education, China, 2020
  • Third Prize, National Post-Graduate Mathematical Contest in Modeling, 2018