Wei Yuan

According to our database, Wei Yuan authored at least 26 papers between 2020 and 2024.

Collaborative distances:

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

2024

Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.

Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin

ACM Trans. Inf. Syst., May, 2024

Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks.

Shijie Zhang, Wei Yuan, Hongzhi Yin

IEEE Trans. Knowl. Data Eng., March, 2024

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.

Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.

Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin

CoRR, 2024

Poisoning Attacks and Defenses in Recommender Systems: A Survey.

Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin

CoRR, 2024

Automated Similarity Metric Generation for Recommendation.

Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin

CoRR, 2024

Robust Federated Contrastive Recommender System against Model Poisoning Attack.

Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2024

On-Device Recommender Systems: A Comprehensive Survey.

Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

CoRR, 2024

ROIC-DM: Robust Text Inference and Classification via Diffusion Model.

Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He

CoRR, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.

Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Proceedings of the ACM on Web Conference 2024, 2024

Hide Your Model: A Parameter Transmission-free Federated Recommender System.

Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin

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

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.

Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin

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

Watermarking Recommender Systems.

Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.

Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2023

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.

Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin

CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.

Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin

Proceedings of the ACM Web Conference 2023, 2023

Federated Unlearning for On-Device Recommendation.

Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.

Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Unified Question Generation with Continual Lifelong Learning.

Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CIRCLE: continual repair across programming languages.

Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

Improving Neural Question Generation using Deep Linguistic Representation.

Wei Yuan, Tieke He, Xinyu Dai

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Crowdsourced requirements generation for automatic testing via knowledge graph.

Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

An Empirical Study of Law Articles Prediction on Transportation Legal Cases.

Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

N2One: Identifying Coreference Object Among User Generated Content with Siamese Network.

Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He

Proceedings of the Web Information Systems and Applications, 2020

Mining the Software Engineering Forums: What's New and What's Left.

Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He

Proceedings of the Web Information Systems and Applications, 2020