I am a senior student at School of Artificial Intelligence, Nanjing University. I am also a member of LAMDA Group led by Prof. Zhi-Hua Zhou, where I am fortunate to work with Prof. Yu-Feng Li.
Currently, I work as a research intern at MMLab@The Chinese University of Hong Kong with Prof. Xiangyu Yue.
I am open to discussions or collaboration opportunities. If you are interested in my work, feel free to reach out via email.

My research interests mainly include Machine Learning and Computer Vision. Specifically, I'm interested in Multimodal Machine Learning, Imitation Learning (application in robotics) and Embodied AI. I am keen on developing intelligent system with capabilities across multiple dimensions.

• Multimodal Machine Learning: Bridging the gap of different modalities, especially in vision and language.
• Imitation Learning: Improving the generalization performance and data efficiency of decision-making methods to solve real-world robotic tasks.
• Embodied AI: Developing an intelligent system with perception, reasoning, and action capabilities.

• [2025.2] RAP is accepted by CVPR 2025.
• [2024.11] ABIL is accepted by KDD 2025.
• [2024.10] Awarded BYD Scholarship (Ranked 2/102 in my grade).
• [2024.6] I'm glad to participate in LAMDA & RIKEN-AIP Joint Workshop on Machine Learning.
• [2024.5] Give an oral presentation at Robust Machine Learning in Open Environments Workshop at PAKDD 2024. [Slides]
• [2023.12] Awarded National Scholarship (Ranked 1/102 in my grade).

Retrieval-Augmented Personalization for Multimodal Large Language Models
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Haoran Hao*, Jiaming Han*, Changsheng Li, Yufeng Li, Xiangyu Yue
Paper | Project | Code

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Robust Machine Learning in Open Environments Workshop at PAKDD 2024, Best Paper Award
Jiejing Shao*, Haoran Hao*, Xiaowen Yang, Yufeng Li
Paper | Project | Code

Lightweight Retrieval Tuning for Black-Box Language Models
Efficient Natural Language and Speech Processing Workshop at NeurIPS, 2023
Xiaowen Yang, Hongjie You, Pengxiao Song, Haoran Hao, Jiejing Shao, Yufeng Li
Paper