Yuanchen Bei

Yuanchen Bei

Ph.D. Student at UIUC

Champaign, IL, USA

bei4@illinois.edu Google Scholar GitHub LinkedIn

Yuanchen Bei

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

My current research mainly focuses on Memory and Personalization for LLM Agents.

Research Highlight

🀝 Open to collaboration β€” feel free to reach out if you share interests in any of the directions below!

🧠 Memory for LLM Agents
  • Long-Term Agent Memory: Mem-Gallery ACL 2026, Evo-Memory Preprint
  • Memory and Continual Learning Architecture
πŸ”— User Modeling and Personalization
  • Large-Scale User Modeling: MacGNN πŸ”₯ Top-10 | WWW 2024, POGCN KDD 2024
  • Cold-Start and Debiased User Modeling: ColdLLM WSDM 2025, USIM Spotlight | NeurIPS 2024, AliBoost KDD 2025
πŸ“ Graph Learning
  • General-Purpose GNNs: CorGCN KDD 2025, CMGNN NeurIPS 2025
  • GNN Pre-Training: CPDG ICDE 2024

Selected Open-Source Projects

  • Mem-Gallery Benchmark stars

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

  • ColdRec Toolkit stars

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

  • Awesome-GraphRAG Reading List stars

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

  • Awesome-Cold-Start-Recommendation Reading List stars

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

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: KDD (2024–2027), WSDM (2026–2027), ICLR (2025–2027), AAAI 2027, ICML 2026, NeurIPS 2026, WWW 2026, ARR 2026, MM (2025–2026), CIKM (2025–2026), SIGIR 2025, SIGIR-AP 2025, ECAI 2024.
  • Journal Reviewer: TMLR, IEEE TKDE, IEEE TNNLS, IEEE TII, IEEE TIP, ACM CSUR, ACM TKDD.

Experiences

  • NEC Laboratories AmericaResearch Intern Β· 2026.05 – 2026.08 Β· Princeton, NJ, USA
  • Alibaba GroupResearch Intern Β· 2023.05 – 2023.11, 2025.03 – 2025.06 Β· Hangzhou, China
  • The Hong Kong Polytechnic UniversityResearch Assistant Β· 2024.06 – 2024.10 Β· Hong Kong SAR, China
  • MeituanResearch Intern Β· 2022.02 – 2022.08 Β· Beijing, China

Misc

In my free time, I enjoy learning about finance and the global economy, and I highly recommend 小Linθ―΄ for its engaging and accessible explainer videos. I’m also into music and movies (especially mysteries), a fan of Jisoo, and a dog lover.

If you share any of these interests, feel free to reach out. I’d be happy to make new friends!

Languages: Chinese (native), English (fluent), and Cantonese (proficient listening).