Haoran Hao
Scholar

Haoran Hao

Google Scholar ID: sBHFXCYAAAAJ
Carnegie Mellon University | Nanjing University
Artificial IntelligenceRoboticsMachine LearningMultimodal Learning
Citations & Impact
All-time
Citations
60
 
H-index
3
 
i10-index
2
 
Publications
8
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • * Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning (Preprint, Under review)
  • * Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy (AAAI 2026)
  • * Multimodal Long Video Modeling Based on Temporal Dynamic Context (Preprint, Under review)
  • * RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models (CVPR 2025)
  • * Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation (KDD 2025)
  • - Awards:
  • * BYD Scholarship (Ranked 2/102 in my grade), 2024.10
  • * National Scholarship (Ranked 1/102 in my grade), 2023.12
Research Experience
  • - Carnegie Mellon University, Robotics Institute, Master's Student, 2025.08 - Present
  • - MMLab@The Chinese University of Hong Kong, Research Intern, 2024.03 - 2025.06, Worked with Prof. Xiangyu Yue
  • - Shanghai Artificial Intelligence Laboratory, Worked with Dr. Zhi Hou
  • - Nanjing University, Worked with Prof. Yu-Feng Li
Education
  • - Carnegie Mellon University, Robotics Institute, Master's, 2025.08 - Present, Advisors: Prof. Jeff Schneider and Prof. Jeffrey Ichnowski
  • - Nanjing University, Bachelor's in Artificial Intelligence, 2021.09 - 2025.06, Previously worked with Prof. Yu-Feng Li
Background
  • - Research Interest: Artificial Intelligence and Robotics, specifically Machine Learning, Multimodal Perception, and Robotic Manipulation
  • - Professional Field: Enhancing the performance and data efficiency of machine learning methods for Robotics; enabling robots to perceive and understand environments through multimodal information; developing an intelligent system with perception, reasoning, and interaction capabilities to solve real-world tasks
Miscellany
  • - Open to discussions or collaboration opportunities
  • - Interested parties can reach out via email