Hi! I am a 5th-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

2026.02: 🎉 Our paper “COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence” has been accepted by CVPR 2026!
2026.01: 🎉 Our paper “S$^2$CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation” has been accepted by WWW 2026!
2026.01: 🎉 Our paper “Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion” has been accepted by WWW 2026!
2025.11: 🎉 Our paper “FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation” has been accepted by KDD 2026!
2025.11: 🎉 Our paper “From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation” has been accepted by KDD 2026!
2025.05: 🎉 Our paper “SOTOPIA-$\Omega$: Dynamic Strategy Injection Learning and Social Instruction Following Evaluation for Social Agents” has been accepted by ACL 2025!
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)
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

The 32st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation

Ruochen Yang*, Xiaodong Li*, Jiawei Sheng, Jiangxia Cao, Xinkui Lin, Shen Wang, Shuang Yang, Zhaojie Liu, Tingwen Liu

The 32st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
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)
S$^2$CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation

Xiaodong Li, Juwei Yue, Xinghua Zhang, Jiawei Sheng, Wenyuan Zhang, Taoyu Su, Zefeng Zhang, Tingwen Liu

The ACM Web Conference (WWW 2026)
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)
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)
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)
Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion

Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu

The ACM Web Conference (WWW 2026)
COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence

Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang, Zhenyu Zhang, Jiawei Sheng, Xiaodong Li, Zhenyang Li, Li Gao, Daiting Shi, Dawei Yin, Tingwen Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

🎖 Honors and Awards

2025.10 National Scholarship for Doctoral Students
2025.10 Presidential Scholarship of Institute of Information Engineering, UCAS
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

💻 Internships

ByteDance Inc (TikTok), focusing on Live-Streaming RecSys
ByteDance Inc, focusing on Multi-Modal LLMs
Kuaishou Technology, focusing on Live-Streaming RecSys
Baidu Research, focusing on Generative RecSys

⭐ Services