Hao LU
Scholar

Hao LU

Google Scholar ID: OrbGCGkAAAAJ
HKUST-GZ
Computer VisionDeep Learing
Citations & Impact
All-time
Citations
653
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
17
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published Papers: DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving (NeurIPS 2025); Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model (CVPR 2025); Hawk: Learning to Understand Open-World Video Anomalies (NeurIPS 2024); Sage Deer: A Super-Aligned Driving Generalist Is Your Cockpit (preprint); Towards Generalizable Multi-Camera 3D Object Detection via Perspective Debiasing (AAAI 2024); Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting (preprint); rPPG-HiBa: Hierarchical Balanced Framework for Remote Physiological Measurement (ACM MM 2024); GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing (CVPR Workshops 2024); Neuron Structure Modeling for Generalizable Remote Physiological Measurement (CVPR 2023); Dual-GAN: Joint BVP and Noise modelling for Remote Physiological Measurement (CVPR 2021).
Research Experience
  • Involved in multiple research projects including multimodal large models, 4D reconstruction and generation, autonomous driving, etc.
Education
  • Ph.D. at The Hong Kong University of Science and Technology (Guangzhou), Advisor: Dr. Yingcong Chen, Year: Third year; M.S. from University of Chinese Academy of Sciences (UCAS) and Institute of Computing Technology (ICT), Chinese Academy of Sciences, Advisors: Prof. Dr. Hu Han and Dr. S. Kevin Zhou, Year: 2022; Collaborated with: Dr. Shiguang Shan and Dr. Xilin Chen.
Background
  • Research Interests: Artificial Intelligence and Deep Learning. Current Research Focus: Multimodal Large Models, 4D Reconstruction and Generation, Autonomous Driving, AI for Science.
Miscellany
  • Personal interests not mentioned