Yuanchen Bei

I am a Ph.D. Student at the University of Illinois Urbana-Champaign, advised by Prof. Hanghang Tong.

My research interests mainly include knowledge management for generative agents, especially long-term agent memory and continual learning, user-centric ML and relational data mining, and graph learning.

Research Highlight

🤝 Open to collaboration — feel free to reach out if you share interests in any of the directions below!

Selected Open-Source Projects

• Mem-Gallery Benchmark

  Benchmarking multimodal long-term memory for MLLM agents. Includes 10+ memory models with a new evaluation dataset.

• ColdRec Toolkit

  A unified toolkit for cold-start recommendation. Includes 20+ models with comprehensive evaluations across multiple datasets.

• Awesome-GraphRAG Reading List

  A curated reading list of papers on graph-based retrieval-augmented generation.

• Awesome-Cold-Start-Recommendation Reading List

  A curated reading list of papers on cold-start recommendation.

• GraphTransformer-DGraphFin Leaderboard Solution

  Top-2 solution for the DGraph-Fin leaderboard on large-scale dynamic graph anomaly detection.

Honors and Awards

• Outstanding Reviewer KDD 2025, TNNLS
• National Scholarship x2 Bachelor, Master
• First Class Scholarship x2 Bachelor, Master
• Outstanding Graduate Master
• Outstanding Undergraduate Bachelor

Academic Services

• Conference Program Committee Member: ICLR (2025–2026), KDD (2024–2026), ICML 2026, WWW 2026, WSDM 2026, MM (2025–2026), CIKM (2025–2026), SIGIR 2025, SIGIR-AP 2025, ECAI 2024.
• Journal Reviewer: ACM TKDD, ACM CSUR, IEEE TKDE, IEEE TNNLS, IEEE TII, IEEE TIP.

Experiences