Caijun Xu
Ph.D. Student · Fudan University & SII
Fudan University & SII
Alex Research
Advisor: Prof. Yixin Cao
xxcaijun@gmail.com
Hi, I’m Caijun Xu (徐才峻) — a Ph.D. student at Fudan University & SII, working with Prof. Yixin Cao in Alex Research.
My research centers on data synthesis and reasoning for large language models, including reinforcement learning for multi-step reasoning, trajectory generation, and verifier & feedback design. Before my Ph.D., I received a B.Eng. from Beihang University (BUAA), where I worked on graph neural networks and knowledge graphs for recommendation.
Feel free to reach out — I’m always happy to chat about reasoning, RL, and synthetic-data pipelines. You can also find me on Google Scholar and GitHub.
research interests
LLM Reasoning Reinforcement Learning Synthetic Data Verifier & Feedback Knowledge Graphs Recommender Systems
highlights
- Paper SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning accepted to ACL 2026 Findings.
- Paper KG-based recommendation paper accepted to CIKM 2024.
- Medal ICPC Asia Regional (Xi'an & Jinan) and CCPC Silver (Harbin) medals.
news
| May 04, 2026 | 📄🎉 SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning — accepted to ACL 2026 Findings. |
|---|---|
| Oct 20, 2024 | 📄🎉 Exploring High-Order User Preference with Knowledge Graph for Recommendation — accepted to CIKM 2024 (short paper). |
| Dec 03, 2023 | 🥉 Won ICPC Bronze Medal (Jinan). |
| Nov 05, 2023 | 🥈 Won CCPC Silver Medal (Harbin). |
| Oct 22, 2023 | 🥉 Won ICPC Bronze Medal (Xi’an). |
selected publications
- CIKM’24Exploring High-Order User Preference with Knowledge Graph for RecommendationIn Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024