Honglei Zhang

According to our database, Honglei Zhang authored at least 28 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Transfer to Collaboration: A Federated Framework for Cross-Market Sequential Recommendation.

Jundong Chen, Honglei Zhang, Xiangmou Qu, Haoxuan Li, Han Yu, Yidong Li

CoRR, April, 2026

FedUTR: Federated Recommendation with Augmented Universal Textual Representation for Sparse Interaction Scenarios.

Kang Fu, Honglei Zhang, Zikai Zhang, Jundong Chen, Xin Zhou, Zhiqi Shen, Dusit Niyato, Yidong Li

CoRR, April, 2026

CoDS: Enhancing Collaborative Perception in Heterogeneous Scenarios via Domain Separation.

Yushan Han, Hui Zhang, Honglei Zhang, Chuntao Ding, Yuanzhouhan Cao, Yidong Li

IEEE Trans. Mob. Comput., March, 2026

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.

Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li

ACM Trans. Inf. Syst., February, 2026

Efficient Federated Metric Learning and Machine Unlearning Based on Prototype Distillation.

Jingyi Li, Zikai Zhang, Honglei Zhang, Yidong Li

IEEE Trans. Serv. Comput., 2026

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models.

Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.

Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation.

Kang Fu, Honglei Zhang, Xuechao Zou, Yidong Li

CoRR, December, 2025

Debiased Recommendation via Wasserstein Causal Balancing.

Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong

ACM Trans. Inf. Syst., November, 2025

Personalized Recommendation Models in Federated Settings: A Survey.

Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang

IEEE Trans. Knowl. Data Eng., November, 2025

Learn to Preserve Personality: Federated Foundation Models in Recommendations.

Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang

CoRR, June, 2025

Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition.

Jundong Chen, Honglei Zhang, Haoxuan Li, Chunxu Zhang, Zhiwei Li, Yidong Li

CoRR, June, 2025

PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding.

Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li

IEEE Trans. Neural Networks Learn. Syst., January, 2025

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions.

Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework.

Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning to Hash for Recommendation: A Survey.

Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu

CoRR, 2024

Advancing Sustainability via Recommender Systems: A Survey.

Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen

CoRR, 2024

TransFR: Transferable Federated Recommendation with Pre-trained Language Models.

Honglei Zhang, He Liu, Haoxuan Li, Yidong Li

CoRR, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.

Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.

Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li

ACM Trans. Inf. Syst., October, 2023

On robustness of neural ODEs image classifiers.

Wenjun Cui, Honglei Zhang, Haoyu Chu, Pipi Hu, Yidong Li

Inf. Sci., 2023

SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds.

Yushan Han, Hui Zhang, Honglei Zhang, Yidong Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Comprehensive Analysis of Trusted Internet of Things.

Xiaochun Wang, Hong Yang, Honglei Zhang

Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

2022

Digital Watermarking via Inverse Gradient Attention.

Honglei Zhang, Yidong Li

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021

RepBFL: Reputation Based Blockchain-Enabled Federated Learning Framework for Data Sharing in Internet of Vehicles.

Haoyu Chen, Naiyue Chen, He Liu, Honglei Zhang, Jiabo Xu, Huaping Chen, Yidong Li

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

2020

Robust Watermarking Using Inverse Gradient Attention.

Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen

CoRR, 2020

2019

Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems^∗.

Liying Chen, Honglei Zhang, Jun Wu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Social Collaborative Filtering Ensemble.

Honglei Zhang, Gangdu Liu, Jun Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018