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Dr

Wei Yuan

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Overview

Availability

Dr Wei Yuan is:
Available for supervision

Qualifications

  • Doctor of Philosophy of Computing Science, The University of Queensland

Works

Search Professor Wei Yuan’s works on UQ eSpace

8 works between 2023 and 2025

1 - 8 of 8 works

2025

Journal Article

FELLAS: enhancing federated sequential recommendation with LLM as external services

Yuan, Wei, Yang, Chaoqun, Ye, Guanhua, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2025). FELLAS: enhancing federated sequential recommendation with LLM as external services. ACM Transactions on Information Systems, 43 (6) 144, 1-24. doi: 10.1145/3709138

FELLAS: enhancing federated sequential recommendation with LLM as external services

2025

Journal Article

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

Liang, Xurong, Chen, Tong, Yuan, Wei and Yin, Hongzhi (2025). Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. ACM Transactions on Information Systems, 43 (4) 108, 1-29. doi: 10.1145/3742424

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

2025

Journal Article

PTF-FSR: a parameter transmission-free federated sequential recommender system

Yuan, Wei, Yang, Chaoqun, Qu, Liang, Hung, Nguyen Quoc Viet, Ye, Guanhua and Yin, Hongzhi (2025). PTF-FSR: a parameter transmission-free federated sequential recommender system. ACM Transactions on Information Systems, 43 (2) 52, 1-24. doi: 10.1145/3708344

PTF-FSR: a parameter transmission-free federated sequential recommender system

2024

Journal Article

Adversarial item promotion on visually-aware recommender systems by guided diffusion

Chen, Lijian, Yuan, Wei, Chen, Tong, Ye, Guanhua, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). Adversarial item promotion on visually-aware recommender systems by guided diffusion. ACM Transactions on Information Systems, 42 (6) 156, 1-26. doi: 10.1145/3666088

Adversarial item promotion on visually-aware recommender systems by guided diffusion

2024

Conference Publication

HeteFedRec: federated recommender systems with model heterogeneity

Yuan, Wei, Qu, Liang, Cui, Lizhen, Tong, Yongxin, Zhou, Xiaofang and Yin, Hongzhi (2024). HeteFedRec: federated recommender systems with model heterogeneity. 2024 IEEE 40th International Conference on Data Engineering (ICDE), Utrecht, Netherlands, 13-16 May 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/icde60146.2024.00109

HeteFedRec: federated recommender systems with model heterogeneity

2024

Conference Publication

Towards personalized privacy: user-governed data contribution for federated recommendation

Qu, Liang, Yuan, Wei, Zheng, Ruiqi, Cui, Lizhen, Shi, Yuhui and Yin, Hongzhi (2024). Towards personalized privacy: user-governed data contribution for federated recommendation. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645690

Towards personalized privacy: user-governed data contribution for federated recommendation

2023

Journal Article

Manipulating visually-aware federated recommender systems and its countermeasures

Yuan, Wei, Yuan, Shilong, Yang, Chaoqun, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). Manipulating visually-aware federated recommender systems and its countermeasures. ACM Transactions on Information Systems, 42 (3) 64, 1-26. doi: 10.1145/3630005

Manipulating visually-aware federated recommender systems and its countermeasures

2023

Conference Publication

Interaction-level membership inference attack against federated recommender systems

Yuan, Wei, Yang, Chaoqun, Nguyen, Quoc Viet Hung, Cui, Lizhen, He, Tieke and Yin, Hongzhi (2023). Interaction-level membership inference attack against federated recommender systems. The ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583359

Interaction-level membership inference attack against federated recommender systems

Supervision

Availability

Dr Wei Yuan is:
Available for supervision

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Media

Enquiries

For media enquiries about Dr Wei Yuan's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au