Hi! I am a 4th-year Ph.D. candidate in Institute of Information Engineering, Chinese Academy of Sciences, supervised by Prof. Tingwen Liu. I’ve also interned at ByteDance (TikTok), Kuaishou and Baidu.

My research focus on Recommendation Systems and LLMs. I am expected to complete my Ph.D. in June 2026, and will be actively seeking opportunities in both industry and academia. If you are interested, please feel free to get in touch.

🔥 News

2025.05: 🎉 Our paper “SOTOPIA-$\Omega$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents” has been accepted by ACL 2025 (Main)!
2025.05: 🎉 Our paper “Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations” has been accepted by ICML 2025!
2025.04: 🎉 Our paper “Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective” has been accepted by SIGIR 2025!
2025.03: 🎉 Our paper “Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users” has been accepted by ICDE 2025!
2024.11: 🎉 Our paper “Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation” has been accepted by KDD 2025!
2023.10: 🎉 Our paper “CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process” has been accepted by WSDM 2024!

📝 Publications

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation. Xiaodong Li, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users. Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Xinghua Zhang, Wenyuan Zhang, Yong Sun, Shirui Pan, Zhihong Tian, Tingwen Liu. The 41st IEEE International Conference on Data Engineering (ICDE 2025).
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu. The 17th ACM International Conference on Web Search and Data Mining (WSDM 2024).
FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. Xiaodong Li, Ruochen Yang, Shuang Wen, Shen Wang, Yueyang Liu, Guoquan Wang, Weisong Hu, Qiang Luo, Jiawei Sheng, Tingwen Liu, Jiangxia Cao, Shuang Yang, Zhaojie Liu. arXiv preprint arXiv:2502.09375.
SOTOPIA-$\Omega$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents. Wenyuan Zhang, Tianyun Liu, Mengxiao Song, Xiaodong Li, Tingwen Liu. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Main).
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations. Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo. The Forty-Second International Conference on Machine Learning (ICML 2025).
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective. Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu. The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025).

🎖 Honors and Awards

2025.05 Pacemaker to Merit Student (Top 1%) of University of Chinese Academy of Sciences
2024.03 Merit Student of University of Chinese Academy of Sciences
2019.09 National Encouragement Scholarship
2018.09 Merit Student of University of International Relations

📖 Educations

2021.09 - Present, Ph.D. Candidate, Chinese Academy of Sciences
2017.09 - 2021.06, Undergraduate, University of International Relations

⭐ Services

Program Committee / Reviewer: ACM TKDD, WWW 2024, DASFAA 2024
Secondary Reviewer: CIKM 2023-24, WSDM 2024, IJCAI 2023, KDD 2025, AAAI 2023-24, SIGIR 2023-25

💻 Internships