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 memory for generative agents, relational data mining, graph learning, and computational social science. In my free time, I am also interested in finance and economics.

News

• 2026.01 Our new benchmark on Multimodal Long-Term Memory for MLLM Agents is available here.

Research Highlight

🤝 Open to collaboration: Please kindly reach out to me if you have cooperation interests in related directions and topics!

Memory for Generative Agents

• Long-Term Memory: Mem-Gallery ACL 2026
• Self-Evolving Memory: Evo-Memory

Relational Data Mining

• Large-Scale Recommender Systems: MacGNN Top-10 Influential Paper | WWW 2024, POGCN KDD 2024, AliBoost KDD 2025
• Graph Anomaly Detection: RAND ICDM 2023, G3AD TNNLS 2025

Graph Learning

• General GNNs: CorGCN KDD 2025, CMGNN NeurIPS 2025
• Graph Pre-Training: CPDG ICDE 2024

Computational Social Science

• E-Commerce Popularity Bias: USIM Spotlight | NeurIPS 2024, ColdLLM WSDM 2025
• AI for Social Good

Selected Open-Source Project

Mem-Gallery

Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. Including 10+ memory models with a new evaluation dataset.

ColdRec

Benchmarking Cold-Start Recommendation. Including 20+ cold-start recommendation models with comprehensive evaluations.

Graph for AI Agents Literature Library

A curated reading list of papers on graphs meeting AI agents.

GraphRAG Literature Library

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

Cold-Start Recommendation Literature Library

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

Honors and Awards

• Outstanding Reviewer (KDD 2025, TNNLS)
• National Scholarship (Bachelor, Master)
• First Class Scholarship (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

• 2025.03 – 2025.06 Research Intern, Alibaba Group, Hangzhou, China.
• 2024.06 – 2024.10 Research Assistant, The Hong Kong Polytechnic University, Hong Kong SAR, China.
• 2023.05 – 2023.11 Research Intern, Alibaba Group, Hangzhou, China.
• 2022.02 – 2022.08 Research Intern, Meituan, Beijing, China.