Fangzhao Wu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 204

Top Venues

Publications

Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
Federated Unlearning for On-Device Recommendation. WSDM (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD (2023)
Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui
A Survey on Federated Recommendation Systems. CoRR (2023)
Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV (2023)
Jiawei Shao, Fangzhao Wu, Jun Zhang
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR (2023)
Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang
Personalized Federated Learning with Inferred Collaboration Graphs. ICML (2023)
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR (2023)
Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR (2023)
Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. CoRR (2023)
Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie
UA-FedRec: Untargeted Attack on Federated News Recommendation. KDD (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41 (1) (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR (2023)
Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. ACL (1) (2023)
Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM (2023)
Yueqi Xie, Jingwei Yi, Jiawei Shao, Justin Curl, Lingjuan Lyu, Qifeng Chen, Xing Xie, Fangzhao Wu
Defending ChatGPT against jailbreak attack via self-reminders. Nat. Mac. Intell. 5 (12) (2023)
Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR (2022)
Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
Federated Unlearning for On-Device Recommendation. CoRR (2022)
Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
News Recommendation with Candidate-aware User Modeling. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR (2022)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS (2022)
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI (2022)
Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) (2022)
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
ProFairRec: Provider Fairness-aware News Recommendation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
End-to-end Learnable Diversity-aware News Recommendation. CoRR (2022)
Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Unified and Effective Ensemble Knowledge Distillation. CoRR (2022)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
News Recommendation with Candidate-aware User Modeling. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Quality-aware News Recommendation. CoRR (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR (2022)
Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang
Is News Recommendation a Sequential Recommendation Task? SIGIR (2022)
Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie
Robust Quantity-Aware Aggregation for Federated Learning. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Are Big Recommendation Models Fair to Cold Users? CoRR (2022)
Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie
UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR (2022)
Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR (2022)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR (2022)
Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD (2022)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI (2022)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
DA-Transformer: Distance-aware Transformer. NAACL-HLT (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR (2021)
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51 (6) (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Empowering News Recommendation with Pre-trained Language Models. SIGIR (2021)
Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39 (3) (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) (2021)
Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
Personalized News Recommendation: A Survey. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Is News Recommendation a Sequential Recommendation Task? CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL/IJCNLP (1) (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR (2021)
Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR (2021)
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie
UserBERT: Contrastive User Model Pre-training. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fangzhao Wu