Honglei Zhang

34 papers A* 4B 2C 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.
ACM Trans. Inf. Syst.
Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2026 A* conf
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.
AAAI
Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2026 J jnl
CoDS: Enhancing Collaborative Perception in Heterogeneous Scenarios via Domain Separation.
IEEE Trans. Mob. Comput.
Yushan Han, Hui Zhang, Honglei Zhang, Chuntao Ding, Yuanzhouhan Cao, Yidong Li
2026 J jnl
Efficient Federated Metric Learning and Machine Unlearning Based on Prototype Distillation.
IEEE Trans. Serv. Comput.
Jingyi Li, Zikai Zhang, Honglei Zhang, Yidong Li
2026 A* conf
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models.
AAAI
Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li
2025 — conf
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions.
WWW (Companion Volume)
Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2025 J jnl
Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition.
CoRR
Jundong Chen, Honglei Zhang, Haoxuan Li, Chunxu Zhang, Zhiwei Li, Yidong Li
2025 J jnl
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.
CoRR
Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2025 J jnl
CoDS: Enhancing Collaborative Perception in Heterogeneous Scenarios via Domain Separation.
CoRR
Yushan Han, Hui Zhang, Honglei Zhang, Chuntao Ding, Yuanzhouhan Cao, Yidong Li
2025 A* conf
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework.
AAAI
Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li
2025 J jnl
Debiased Recommendation via Wasserstein Causal Balancing.
ACM Trans. Inf. Syst.
Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong
2025 J jnl
Learn to Preserve Personality: Federated Foundation Models in Recommendations.
CoRR
Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang
2025 J jnl
MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation.
CoRR
Kang Fu, Honglei Zhang, Xuechao Zou, Yidong Li
2025 J jnl
Personalized Recommendation Models in Federated Settings: A Survey.
CoRR
Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025 J jnl
Personalized Recommendation Models in Federated Settings: A Survey.
IEEE Trans. Knowl. Data Eng.
Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025 J jnl
PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding.
IEEE Trans. Neural Networks Learn. Syst.
Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li
2024 J jnl
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions.
CoRR
Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2024 J jnl
Advancing Sustainability via Recommender Systems: A Survey.
CoRR
Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen
2024 J jnl
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.
CoRR
Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2024 J jnl
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework.
CoRR
Yushan Han, Hui Zhang, Honglei Zhang, Jing Wang, Yidong Li
2024 J jnl
Learning to Hash for Recommendation: A Survey.
CoRR
Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu
2024 J jnl
TransFR: Transferable Federated Recommendation with Pre-trained Language Models.
CoRR
Honglei Zhang, He Liu, Haoxuan Li, Yidong Li
2024 A* conf
Uncovering the Propensity Identification Problem in Debiased Recommendations.
ICDE
Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu
2023 — conf
A Comprehensive Analysis of Trusted Internet of Things.
PAAP
Xiaochun Wang, Hong Yang, Honglei Zhang
2023 J jnl
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
ACM Trans. Inf. Syst.
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2023 J jnl
On robustness of neural ODEs image classifiers.
Inf. Sci.
Wenjun Cui, Honglei Zhang, Haoyu Chu, Pipi Hu, Yidong Li
2023 B conf
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds.
SMC
Yushan Han, Hui Zhang, Honglei Zhang, Yidong Li
2023 J jnl
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds.
CoRR
Yushan Han, Hui Zhang, Honglei Zhang, Yidong Li
2022 — conf
Digital Watermarking via Inverse Gradient Attention.
BESC
Honglei Zhang, Yidong Li
2022 J jnl
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
CoRR
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2021 C conf
RepBFL: Reputation Based Blockchain-Enabled Federated Learning Framework for Data Sharing in Internet of Vehicles.
PDCAT
Haoyu Chen, Naiyue Chen, He Liu, Honglei Zhang, Jiabo Xu, Huaping Chen, Yidong Li
2020 J jnl
Robust Watermarking Using Inverse Gradient Attention.
CoRR
Honglei Zhang, Hu Wang, Yidong Li, Yuanzhouhan Cao, Chunhua Shen
2019 B conf
Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems
IJCNN
Liying Chen, Honglei Zhang, Jun Wu
2018 — conf
Social Collaborative Filtering Ensemble.
PRICAI (1)
Honglei Zhang, Gangdu Liu, Jun Wu