About Me

Hello! This is Honglei Zhang (张洪磊, E-mail: honglei.zhang@bjtu.edu.cn). Now I’m a Siyuan Postdoc Fellow in School of Computer Science and Technology, Beijing Jiaotong University and Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education. I got my Ph.D. degree in School of Computer Science and Technology, Beijing Jiaotong University (SCST, BJTU), advised by Prof. Yidong Li (李浥东). Before that, I got my Master degree in SCST of BJTU, advised by Prof. Jun Wu (邬俊). From October 2023 to October 2024, I am a visiting Ph.D. in Prof. Zhiqi Shen and Xin Zhou’s group at Nanyang Technological University (NTU), Singapore.

My research interests lie in recommender system and federated learning. More specifically, I focus on:

• Recommender System: trustworthy recommendation, privacy-preserving/federated recommendation, debiased recommendation
• Federated Learning: personalized federated learning, on-device learning, local elastic adaptation, global composite aggregation

✨ Repositories

Comments and contributions are welcome.

• RSTutorials-RSPapers
  This repository collects a curated list of must-read papers on recommender system.
• RSTutorials-RSAlgorithms
  This repository collects a set of algorithms about traditional and social recommender system

📝 Selected Preprints and Publications

Survey Papers

• Learn to Preserve Personality: Federated Foundation Models in Recommendations
  Arxiv 2025 | Paper
  Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang.

• Learning to Hash for Recommendation: A Survey
  Arxiv 2024 | Paper Code
  Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu.

• Advancing Sustainability via Recommender Systems: A Survey
  Arxiv 2024 | Paper Code
  Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen.

• Personalized Recommendation Models in Federated Settings: A Survey
  TKDE 2025 | Paper Code
  Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang.

• 面向可信联邦学习公平性的研究综述
  电子学报 2023 | Paper
  陈颢瑜, 李浥东, 张洪磊, 陈乃月.

• 基于隐私保护的联邦推荐算法综述
  自动化学报 2022 | Paper
  张洪磊, 李浥东, 邬俊, 陈乃月, 董海荣.

Conference Papers

• Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition
  Arxiv 2025 | Paper
  Jundong Chen, Honglei Zhang, Haoxuan Li, Chunxu Zhang, Zhiwei Li, Yidong Li.

• CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework
  AAAI 2025 |Paper Code
  Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li.

• A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
  WWW 2025 | Paper
  Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang.

• Uncovering the Propensity Identification Problem in Debiased Recommendations
  ICDE 2025 | Paper
  Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu.

• TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
  Arxiv 2024 | Paper
  Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li.

• Robust Watermarking using Inverse Gradient Attention
  Arxiv 2022 | Paper
  Honglei Zhang, Hu Wang, Yuanzhouhan Cao, Chunhua Shen, Yidong Li.

• Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems
  IJCNN 2019 | Paper
  Liying Chen$^{\ast}$, Honglei Zhang$^{\ast}$ ($^{\ast}$ indicates co-first authors), Jun Wu.

• Social Collaborative Filtering Ensemble
  PRICAI 2018 | Paper
  Honglei Zhang, Gangdu Liu, Jun Wu.

Journal Papers

• Debiased Recommendation via Wasserstein Causal Balancing
  TOIS 2025 | Paper
  Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong.

• Learning to Unlearn for Bayesian Personalized Ranking via Influence Function
  电子学报 2025 | Paper
  Jundong Chen$^{\ast}$, Honglei Zhang$^{\ast}$ ($^{\ast}$ indicates co-first authors), Haoxuan Li, Yidong Li.

• Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
  Arxiv 2025 | Paper Code
  Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li.

• PrivFR: Privacy-Enhanced Federated Recommendation with Shared Hash Embedding
  TNNLS 2024 | Paper
  Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li.

• On Robustness of Neural ODEs Image Classifiers
  INS 2024 | Paper
  Wenjun Cui, Honglei Zhang, Haoyu Chu, Pipi Hu, Yidong Li.

• LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
  TOIS 2023 | Paper
  Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li.

📖 Educations

• 2023.10 - 2024.10: Visiting Ph.D. Student at Nanyang Technological University, Singapore.
• 2020.09 - 2025.03 Ph.D. Student at Beijing Jiaotong University, China.
• 2016.09 - 2019.06 M.S. Student at Beijing Jiaotong University, China.
• 2012.09 - 2016.06 B.S. Student at Hebei Normal University, China.

💬 Invited Talks

• 2025.04: “A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions”; Inviter: WWW 2025
• 2024.07: “How to Identify Innovation Opportunities in Recommender Systems”; Inviter: Xijing University

🔖 Services

Conference Reviewers

• AAAI Conference on Artificial Intelligence (AAAI) 2026
• ACM International Conference on Web Search and Data Mining (WSDM) 2026
• Conference on Neural Information Processing Systems (NeurIPS) 2025
• International Conference on Machine Learning (ICML) 2025
• International Conference on Learning Representations (ICLR) 2025
• International World Wide Web Conference (WWW) 2025
• ACM Special Interest Group on Information Retrieval (SIGIR) 2025
• ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP) 2025
• ACM International Conference on Multimedia (MM) 2025
• Conference on Neural Information Processing Systems (NeurIPS) 2024
• International Conference on Machine Learning (ICML) 2024
• International World Wide Web Conference (WWW) 2024
• ACM International Conference on Multimedia (MM) 2024

Journal Reviewers

• ACM Transactions on Information Systems (TOIS)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Image Processing (TIP)
• 自动化学报

Organizers

• SIGKDD2022 Workshop on Trustworthy Recommender Systems, Publicity Chair
• WWW2025 Tutorials on Federated Recommender Systems, Speaker
• Official Account on Machine Learning and Recommender Systems, Founder