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ORCIDWei Yuan 0003
Person information
- affiliation: University of Queensland, Brisbane, QLD, Australia
Other persons with the same name
- Wei Yuan — disambiguation page
- Wei Yuan 0001 — Huazhong University of Science and Technology, Department of Electronics and Information Engineering, Wuhan, China
- Wei Yuan 0002
![[0000-0003-4880-844X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4880-844X")
— Shanghai Jiao Tong University, Global Institute of Future Technology, China - Wei Yuan 0004 — Tohoku University, International Research Institute of Disaster Science, Sendai, Japan (and 1 more)
- Wei Yuan 0005 — Chinese Academy of Sciences, Suzhou Institute of Nano-Tech and Nano-Bionics, China (and 1 more)
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2020 – today
- 2024
[j3]Shijie Zhang, Wei Yuan, Hongzhi Yin:
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks. IEEE Trans. Knowl. Data Eng. 36(3): 987-999 (2024)- [j2]Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin:
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures. ACM Trans. Inf. Syst. 42(3): 64:1-64:26 (2024) - [j1]Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Nguyen Quoc Viet Hung, Hongzhi Yin:
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. ACM Trans. Inf. Syst. 42(6): 156:1-156:26 (2024) - [c15]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CIKM 2024: 3217-3226 - [c14]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. ICDE 2024: 611-624 - [c13]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. ICDE 2024: 1324-1337 - [c12]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. WWW 2024: 3910-3918 - [i22]Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He:
ROIC-DM: Robust Text Inference and Classification via Diffusion Model. CoRR abs/2401.03514 (2024) - [i21]Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang:
On-Device Recommender Systems: A Comprehensive Survey. CoRR abs/2401.11441 (2024) - [i20]Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. CoRR abs/2401.17630 (2024) - [i19]Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Robust Federated Contrastive Recommender System against Model Poisoning Attack. CoRR abs/2403.20107 (2024) - [i18]Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin:
Automated Similarity Metric Generation for Recommendation. CoRR abs/2404.11818 (2024) - [i17]Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin:
Poisoning Attacks and Defenses in Recommender Systems: A Survey. CoRR abs/2406.01022 (2024) - [i16]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin:
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System. CoRR abs/2406.05387 (2024) - [i15]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Watermarking Recommender Systems. CoRR abs/2407.21034 (2024) - [i14]Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services. CoRR abs/2410.04927 (2024) - [i13]Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin:
Data Watermarking for Sequential Recommender Systems. CoRR abs/2411.12989 (2024) - [i12]Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin:
Tackling Data Heterogeneity in Federated Time Series Forecasting. CoRR abs/2411.15716 (2024) - 2023
- [c11]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c10]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [c9]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c8]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. WWW 2023: 1053-1062 - [i11]Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. CoRR abs/2301.10964 (2023) - [i10]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i9]Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling. CoRR abs/2304.12083 (2023) - [i8]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i7]Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. CoRR abs/2305.08183 (2023) - [i6]Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin:
HeteFedRec: Federated Recommender Systems with Model Heterogeneity. CoRR abs/2307.12810 (2023) - [i5]Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Hide Your Model: A Parameter Transmission-free Federated Recommender System. CoRR abs/2311.14968 (2023) - [i4]Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin:
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. CoRR abs/2312.15826 (2023) - 2022
- [c7]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin:
CIRCLE: continual repair across programming languages. ISSTA 2022: 678-690 - [c6]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [i3]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i2]Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin:
CIRCLE: Continual Repair across Programming Languages. CoRR abs/2205.10956 (2022) - [i1]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - 2021
- [c5]Wei Yuan, Tieke He, Xinyu Dai:
Improving Neural Question Generation using Deep Linguistic Representation. WWW 2021: 3489-3500 - 2020
- [c4]Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He:
N2One: Identifying Coreference Object Among User Generated Content with Siamese Network. WISA 2020: 276-288 - [c3]Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He:
Mining the Software Engineering Forums: What's New and What's Left. WISA 2020: 513-524 - [c2]Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He:
An Empirical Study of Law Articles Prediction on Transportation Legal Cases. DSA 2020: 125-130 - [c1]Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao:
Crowdsourced requirements generation for automatic testing via knowledge graph. ISSTA 2020: 545-548
Coauthor Index
aka: Quoc Viet Hung Nguyen
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