Yanwei Xu

Yanwei Xu

Brief Intro

I am currently a University-appointed Associate Professor at the School of Computer and Information (School of Artificial Intelligence), Anhui Normal University. I received my Ph.D. from the College of Intelligence and Computing at Tianjin University in June 2024. Previously, I was a postdoctoral researcher at the School of EECS, Peking University, where I worked with Prof. Bin Cui at the PKU-DAIR Lab. My research interests include online social networks, recommender systems, and machine learning.

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Publications

  1. Yanwei Xu, Ye Tian, Fangcheng Fu, Peichao Lai, Guoli Wu, Lianyong Qi, Bin Cui*. Collaborative-Guided Diffusion for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering, 2026. DOI: 10.1109/TKDE.2026.3722938.
  2. Yanwei Xu, Yifei Xia, Fangcheng Fu, Gaoyong Han, Peichao Lai, Bin Cui*. Social-guided Conditional Diffusion Modeling for Robust Social Recommendation. Science China Information Sciences, 2026. DOI: 10.1007/s11432-025-5184-8.
  3. Yanwei Xu, Zhiyong Feng, et al. Collaborative Trust Evaluation with Relative Attention in Evolving Online Social Networks. IEEE Transactions on Computational Social Systems, 2025: 1–13.
  4. Yanwei Xu, Yifei Xia, Bin Cui, et al. Flow Matching with Collaborative Contexts and Variational Interests for POI Recommendation. 2026 IEEE International Conference on Web Services, 2026: 1–11. DOI: 10.1109/ICWS72778.2026.00059.
  5. Yanwei Xu, Zhiyong Feng, Xian Zhou, Meng Xing, Hongyue Wu*, et al. Attention-based Neural Networks for Trust Evaluation in Online Social Networks. Information Sciences, 630: 507–522, 2023.
  6. Yanwei Xu, Zhiyong Feng, Xiao Xue, Shizhan Chen, Hongyue Wu, et al. Metapath-guided Multi-Headed Attention Networks for Trust Prediction. Knowledge-Based Systems, 282 (2023): 111119.
  7. Yanwei Xu, Zhiyong Feng, Xiao Xue, Shizhan Chen, Hongyue Wu*, et al. MemTrust: Find Deep Trust in Your Mind. The 28th IEEE International Conference on Web Services (ICWS), 2021: 598–607.
  8. Feng Zhiyong, Xu Yanwei, Xue Xiao, Chen Shizhan. Review on the Development of Microservice Architecture. Journal of Computer Research and Development, 2019: 1103–1122.
  9. Fan Wang, Lianyong Qi, Weiming Liu, Bowen Yu, Jintao Chen, Yanwei Xu. Inter- and Intra-Similarity Preserved Counterfactual Incentive Effect Estimation for Recommendation Systems. ACM Transactions on Information Systems, 43(6): 148:1–148:24, 2025.
  10. Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou. CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024: 1589–1598.
  11. Xiaotong Wu, Yan Ding, Xiaokang Zhou, Yanwei Xu, Shoujin Wang, Xiaolong Xu, Lianyong Qi. Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis. IEEE Transactions on Fuzzy Systems, 32(10): 5493–5507, 2024.
  12. Yanwei Xu, Lianyong Qi*, Wanchun Dou, Jiguo Yu. Privacy-Preserving and Scalable Service Recommendation Based on SimHash in a Distributed Cloud Environment. Complexity, 2017: 1–9.
  13. Yanwei Xu, Lianyong Qi*. SimHash-Based Similar Neighbor Finding for Scalable and Privacy-Preserving Service Recommendation. International Conference on Cloud Computing and Security, 2017: 113–122.
  14. Gaoyong Han, Zhiyong Feng, Yanwei Xu, et al. Building a Decentralized Crowdsourcing System with Blockchain as a Service. 2023 IEEE International Conference on Web Services (ICWS), 2023: 196–205.
  15. Hongqi Chen, Zhiyong Feng, Yanwei Xu, et al. Evolving Graph Contrastive Learning for Socially-aware Recommendation. 2023 IEEE International Conference on Web Services (ICWS), 2023: 563–572.
  16. Hongqi Chen, Zhiyong Feng, …, Yanwei Xu. Capturing Users’ Fresh Interests via Evolving Session-Based Social Recommendation. IEEE International Conference on Web Services (ICWS), 2022: 1–6.
  17. Jianhang Liu, …, Yanwei Xu, et al. A Smart Data Driven Multi-Level Synchronous Digital Twin Model for Vehicle-Assisted Driving. IEEE Transactions on Consumer Electronics, 2023: 1–13.
  18. Hongqi Chen, Zhiyong Feng, …, Yanwei Xu, et al. Towards evolving software recommendation with time-sliced social and behavioral information. Applied Intelligence, 53(21): 25343–25358, 2023.