Tianhao Peng
Scholar

Tianhao Peng

Google Scholar ID: jykL70MAAAAJ
Beihang University, PhD candidate
Large Language ModelGraph Data Mining
Citations & Impact
All-time
Citations
163
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Published several papers, including 'MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs' (NeurIPS 2025), 'A Survey on Latent Reasoning' (ArXiv), 'Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving' (ArXiv), and more.
Research Experience
  • Served as an author or co-author on multiple research projects, covering areas such as multi-video understanding, latent reasoning, LLM-based agents, contrastive learning in recommendation systems, and graph contrastive learning.
Education
  • Ph.D. student (2021.09 - present) at the School of Computer Science and Engineering, Beihang University, Beijing, China, supervised by Prof. Wenjun Wu; BSc degree in 2020 from Beihang University (Awarded Outstanding Graduate & Honor Student).
Background
  • Research interests include Graph Data Mining and Large Language Models, pursuing innovative solutions in both areas. Current research focuses on building and training large models to enhance reasoning abilities and developing efficient, scalable GNN models to process diverse graph types.
Miscellany
  • Personal interests not mentioned