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Fangzhao Wu

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Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems

Feb 28, 2023
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim

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GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition

Feb 13, 2023
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen

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A Survey on Federated Recommendation Systems

Dec 27, 2022
Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui

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Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization

Nov 20, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Optimizing Server-side Aggregation For Robust Federated Learning via Subspace Training

Nov 10, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Effective and Efficient Query-aware Snippet Extraction for Web Search

Oct 17, 2022
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie

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FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

Jul 19, 2022
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha

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Two-Stage Neural Contextual Bandits for Personalised News Recommendation

Jun 26, 2022
Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong

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FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Jun 07, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie

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Robust Quantity-Aware Aggregation for Federated Learning

May 22, 2022
Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie

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