I am a junior undergraduate student majoring in Artificial Intelligence at Northeastern University.

My research interests focus on grounding language in spatial understanding and robotic manipulation, specifically how computational models can learn from real-world data, uncover the underlying causal relationships, and use this understanding to perform reasoning and decision-making. Ultimately, I aim to explore how these models interact more effectively with the real world and generate positive impacts.

Currently, I am a research assistant (RA) working on Embodied AI, Spatial Intelligence and Robotics under the supervision of Prof. Yao (Mark) Mu at ScaleLab, Shanghai Jiao Tong University. Meanwhile, I closely collaborate with Zhixuan Liang from MMLab@HKU.

📖 Past Research Experiences

Tsinghua University – Pervasive HCI Lab

📅 June 2024 – January 2025
👨‍🏫 Advisor: Dr. Nan Gao, Shuimu Scholar postdoc researcher, currently associate professor at Nankai University.

• Conducted research on family education support using LLM and HCI technologies.
• Developed methods to infer human behaviors and mental states to enhance self-awareness and promote well-being.
• Proposed a novel LLM application to encode and analyze human behavior through dialogue data.
• Innovatively combined LLM-based analysis with human expert qualitative coding to process real-world data.
• Designed and implemented a family education strategies recommendation system for practical applications.

Northeastern University – Information Retrieval Group (NEUIR)

📅 Second Year Undergraduate
👨‍🏫 Advisor: Associate Professor Zhenghao Liu

• Focused on Retrieval-Augmented Generation (RAG) methods to enhance LLM knowledge capabilities.
• Explored cognitive science-inspired augmentation techniques to integrate external knowledge with parametric memory.
• Investigated self-generated common sense knowledge and reasoning instructions to improve LLM reasoning ability.

📝 Publications

(*indicates equal contribution) 

Nan Gao, Yibin Liu, Xin Tang, Yanyan Liu, Chun Yu, Yun Huang, Xuhai “Orson” Xu, Jun Wei, Yuanchun Shi. The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions. Under Review of IMWUT 2025. (Paper)

Yibin Liu, Zhenghao Liu, Yukun Yan, Shi Yu, Shuo Wang, Liner Yang, Yu Gu, Ge Yu, Huimin Chen. Self-Guide: A LLM Reasoning Enhancement Method Based on Self-Guided Planning. CCL 2024 / Journal of Chinese Information Processing, accepted. (Paper EN / Paper CN/ Code)

💬 Talks

• 2024.08, “Retrieval-Augmented Generation Modeling” for Mingtong Weilai (Beijing).

👥 Academic Service

• Reviewer for Chinese CHI 2024.

🏆 Awards

• 2024.11 Outstanding Individual in Technological Innovation of Northeastern University.
• 2024.05 Finalist of Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling (MCM/ICM 2024, Top 2% in 10,387 teams).
• 2023.10 National Level Third Prize in 2023 RoboCup China Competition Simulation 3D League Simulation (RoboCup 2023).
• 2023.10 National Level Second Prize in 2023 FIRA SimuroSot China Competition (RoboCup 2023).
• 2023.11 Future Technology Taihu Scholarship
• 2023.09 Excellent Student Scholarship in Northeastern University