Wei Yuan

67 papers A* 8A 4Misc 2Journal 49Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2026 J jnl
Federated Learning and Unlearning for Recommendation with Personalized Data Sharing.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Shangfei Zheng, Lu Chen, Chengfei Liu, Hongzhi Yin
2026 J jnl
Integrating Vision-Centric Text Understanding for Conversational Recommender Systems.
CoRR
Wei Yuan, Shutong Qiao, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Hongzhi Yin
2026 J jnl
Reasoning Pattern Alignment Merging for Adaptive Reasoning.
CoRR
Zhaofeng Zhong, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
SDFed: Bridging Local Global Discrepancy via Subspace Refinement and Divergence Control in Federated Prompt Learning.
CoRR
Yicheng Di, Wei Yuan, Tieke He, Zhanjie Zhang, Ao Ma, Yuan Liu, Hongzhi Yin
2026 J jnl
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
ACM Trans. Intell. Syst. Technol.
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2026 J jnl
When Text-as-Vision Meets Semantic IDs in Generative Recommendation: An Empirical Study.
CoRR
Shutong Qiao, Wei Yuan, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios.
Knowl. Based Syst.
Shangfei Zheng, Xiaotong Nie, Wei Yuan, Liang Qu, Xiangjie Kong, Yuchao Zhang, Jian Hou
2025 J jnl
Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion.
CoRR
Shutong Qiao, Wei Yuan, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 — conf
Data Watermarking for Sequential Recommender Systems.
KDD (2)
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2025 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
HMamba: Hyperbolic Mamba for Sequential Recommendation.
CoRR
Qianru Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
CoRR
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 J jnl
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering.
ACM Trans. Inf. Syst.
Xurong Liang, Tong Chen, Wei Yuan, Hongzhi Yin
2025 J jnl
Multi-agents based User Values Mining for Recommendation.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Xiangyu Zhao, Nguyen Quoc Viet Hung, Hongzhi Yin
2025 J jnl
On Mitigating Data Sparsity in Conversational Recommender Systems.
CoRR
Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin
2025 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
Data Sci. Eng.
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2025 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
ACM Trans. Inf. Syst.
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2025 J jnl
Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation.
CoRR
Liang Qu, Jianxin Li, Wei Yuan, Penghui Ruan, Yuhui Shi, Hongzhi Yin
2025 J jnl
Robust federated contrastive recommender system against targeted model poisoning attack.
Sci. China Inf. Sci.
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding.
CoRR
Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin
2025 J jnl
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model.
CoRR
Zhaofeng Zhong, Wei Yuan, Liang Qu, Tong Chen, Hao Wang, Xiangyu Zhao, Hongzhi Yin
2025 A* conf
Towards Propagation-Aware Representation Learning for Supervised Social Media Graph Analytics.
ICDM
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics.
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
Watermarking Large Language Model-based Time Series Forecasting.
CoRR
Wei Yuan, Chaoqun Yang, Yu Xing, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
ACM Trans. Inf. Syst.
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
Automated Similarity Metric Generation for Recommendation.
CoRR
Liang Qu, Yun Lin, Wei Yuan, Xiaojun Wan, Yuhui Shi, Hongzhi Yin
2024 J jnl
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks.
IEEE Trans. Knowl. Data Eng.
Shijie Zhang, Wei Yuan, Hongzhi Yin
2024 J jnl
Data Watermarking for Sequential Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR
Wei Yuan, Chaoqun Yang, Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
ICDE
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2024 A* conf
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
ICDE
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2024 J jnl
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.
ACM Trans. Inf. Syst.
Wei Yuan, Shilong Yuan, Chaoqun Yang, Nguyen Quoc Viet Hung, Hongzhi Yin
2024 J jnl
On-Device Recommender Systems: A Comprehensive Survey.
CoRR
Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang
2024 J jnl
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Guanhua Ye, Hongzhi Yin
2024 J jnl
Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024 J jnl
ROIC-DM: Robust Text Inference and Classification via Diffusion Model.
CoRR
Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He
2024 J jnl
Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 J jnl
Tackling Data Heterogeneity in Federated Time Series Forecasting.
CoRR
Wei Yuan, Guanhua Ye, Xiangyu Zhao, Quoc Viet Hung Nguyen, Yang Cao, Hongzhi Yin
2024 A* conf
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
WWW
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 J jnl
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
CoRR
Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin
2024 A conf
Watermarking Recommender Systems.
CIKM
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024 J jnl
Watermarking Recommender Systems.
CoRR
Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2023 J jnl
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR
Lijian Chen, Wei Yuan, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 A conf
Federated Unlearning for On-Device Recommendation.
WSDM
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2023 J jnl
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
CoRR
Wei Yuan, Liang Qu, Lizhen Cui, Yongxin Tong, Xiaofang Zhou, Hongzhi Yin
2023 J jnl
Hide Your Model: A Parameter Transmission-free Federated Recommender System.
CoRR
Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin
2023 A* conf
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
WWW
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 J jnl
Interaction-level Membership Inference Attack Against Federated Recommender Systems.
CoRR
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin
2023 J jnl
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR
Xuhui Ren, Wei Yuan, Tong Chen, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2023 — conf
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
ACL (1)
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 J jnl
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.
CoRR
Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023 A* conf
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
SIGIR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023 J jnl
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
CoRR
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023 J jnl
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures.
CoRR
Wei Yuan, Shilong Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Hongzhi Yin
2022 J jnl
CIRCLE: Continual Repair across Programming Languages.
CoRR
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 A conf
CIRCLE: continual repair across programming languages.
ISSTA
Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao, Hongzhi Yin
2022 J jnl
Federated Unlearning for On-Device Recommendation.
CoRR
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
2022 A* conf
Unified Question Generation with Continual Lifelong Learning.
WWW
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2022 J jnl
Unified Question Generation with Continual Lifelong Learning.
CoRR
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
2021 — conf
Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration.
NCAA
Choujun Zhan, Wei Jiang, Qiaoling Zhen, Haoran Hu, Wei Yuan
2021 A* conf
Improving Neural Question Generation using Deep Linguistic Representation.
WWW
Wei Yuan, Tieke He, Xinyu Dai
2020 — conf
An Empirical Study of Law Articles Prediction on Transportation Legal Cases.
DSA
Yifei Yang, Wei Yuan, Yansong Li, Desheng Wang, Jia Liu, Tieke He
2020 A conf
Crowdsourced requirements generation for automatic testing via knowledge graph.
ISSTA
Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao
2020 Misc conf
Mining the Software Engineering Forums: What's New and What's Left.
WISA
Wei Yuan, Peng Wang, Yue Guo, Linyang He, Tieke He
2020 Misc conf
N2One: Identifying Coreference Object Among User Generated Content with Siamese Network.
WISA
Wei Yuan, Peng Wang, Mengyao Yuan, Yue Guo, Tieke He