Review rating prediction based on the content and weighting strong social relation of reviewers. - Bing-kun Wang; Yulin Min; Yongfeng Huang 001; Xing Li 001; Fangzhao Wu (UnstructureNLP@CIKM, 2013)

Lead-lag analysis via sparse co-projection in correlated text streams. - Fangzhao Wu; Yangqiu Song; Shixia Liu; Yongfeng Huang 001; Zhenyu Liu (CIKM, 2013)

Ranking Optimization with Constraints. - Fangzhao Wu; Jun Xu 001; Hang Li 001; Xin Jiang 002 (CIKM, 2014)

OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media. - Yingcai Wu; Shixia Liu; Kai Yan 003; Mengchen Liu; Fangzhao Wu (IEEE Trans. Vis. Comput. Graph., 2014)

Microblog Sentiment Classification with Contextual Knowledge Regularization. - Fangzhao Wu; Yangqiu Song; Yongfeng Huang 001 (AAAI, 2015)

Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization. - Fangzhao Wu; Jinyun Shu; Yongfeng Huang 001; Zhigang Yuan (CIKM, 2015)

Collaborative Multi-domain Sentiment Classification. - Fangzhao Wu; Yongfeng Huang 001 (ICDM, 2015)

Personalized Microblog Sentiment Classification via Multi-Task Learning. - Fangzhao Wu; Yongfeng Huang 001 (AAAI, 2016)

Sentiment Domain Adaptation with Multiple Sources. - Fangzhao Wu; Yongfeng Huang 001 (ACL (1), 2016)

Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. - Fangzhao Wu; Sixing Wu; Yongfeng Huang 001; Songfang Huang; Yong Qin 001 (CIKM, 2016)

Towards building a high-quality microblog-specific Chinese sentiment lexicon. - Fangzhao Wu; Yongfeng Huang 001; Yangqiu Song; Shixia Liu (Decis. Support Syst., 2016)

Structured microblog sentiment classification via social context regularization. - Fangzhao Wu; Yongfeng Huang 001; Yangqiu Song (Neurocomputing, 2016)

Co-detecting social spammers and spam messages in microblogging via exploiting social contexts. - Fangzhao Wu; Jinyun Shu; Yongfeng Huang 001; Zhigang Yuan (Neurocomputing, 2016)

Microblog sentiment classification with heterogeneous sentiment knowledge. - Fangzhao Wu; Yangqiu Song; Yongfeng Huang 001; M. Rosario Suárez (Inf. Sci., 2016)

Active Sentiment Domain Adaptation. - Fangzhao Wu; Yongfeng Huang 001; Jun Yan 001 (ACL (1), 2017)

THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001; Sixing Wu; Zhigang Yuan (IJCNLP (Shared Tasks), 2017)

Sentence-level Sentiment Classification with Weak Supervision. - Fangzhao Wu; Jia Zhang; Zhigang Yuan; Sixing Wu; Yongfeng Huang 001; Jun Yan 001 (SIGIR, 2017)

Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources. - Fangzhao Wu; Yongfeng Huang 001; Zhigang Yuan (Inf. Fusion, 2017)

Collaboratively Training Sentiment Classifiers for Multiple Domains. - Fangzhao Wu; Zhigang Yuan; Yongfeng Huang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Neural Metaphor Detecting with CNN-LSTM Model. - Chuhan Wu; Fangzhao Wu; Yubo Chen 002; Sixing Wu; Zhigang Yuan; Yongfeng Huang 001 (Fig-Lang@NAACL-HLT, 2018)

Imbalanced Sentiment Classification with Multi-Task Learning. - Fangzhao Wu; Chuhan Wu; Junxin Liu (CIKM, 2018)

Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. - Fangzhao Wu; Chuhan Wu; Junxin Liu (CIKM, 2018)

Tweet Emoji Prediction Using Hierarchical Model with Attention. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Yongfeng Huang 001; Xing Xie 001 (UbiComp/ISWC Adjunct, 2018)

Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision. - Zhigang Yuan; Fangzhao Wu; Junxin Liu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (ICDM, 2018)

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Fangzhao Wu (ICDM, 2018)

Neural Chinese Word Segmentation with Dictionary Knowledge. - Junxin Liu; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (NLPCC (2), 2018)

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Zhigang Yuan; Sixing Wu; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2018)

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Junxin Liu; Zhigang Yuan; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2018)

THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Zhigang Yuan; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2018)

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Zhigang Yuan; Junxin Liu; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2018)

Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Sixing Wu; Yongfeng Huang 001; Xing Xie 001 (SMM4H@EMNLP, 2018)

Skeptical Deep Learning with Distribution Correction. - Mingxiao An; Yongzhou Chen; Qi Liu 003; Chuanren Liu; Guangyi Lv; Fangzhao Wu; Jianhui Ma (CoRR, 2018)

A hybrid unsupervised method for aspect term and opinion target extraction. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Zhigang Yuan; Yongfeng Huang 001 (Knowl. Based Syst., 2018)

Domain attention model for multi-domain sentiment classification. - Zhigang Yuan; Sixing Wu; Fangzhao Wu; Junxin Liu; Yongfeng Huang 001 (Knowl. Based Syst., 2018)

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Linyuan Wang; Le Wu; Enhong Chen; Fangzhao Wu; Xing Xie 001 (AAAI, 2019)

Neural News Recommendation with Long- and Short-term User Representations. - Mingxiao An; Fangzhao Wu; Chuhan Wu; Kun Zhang 015; Zheng Liu 011; Xing Xie 001 (ACL (1), 2019)

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. - Dehong Ma; Sujian Li; Fangzhao Wu; Xing Xie 001; Houfeng Wang (ACL (1), 2019)

Neural News Recommendation with Topic-Aware News Representation. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Yongfeng Huang 001; Xing Xie 001 (ACL (1), 2019)

Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. - Tao Qi; Chuhan Wu; Fangzhao Wu; Suyu Ge; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CCKS, 2019)

REKA: Relation Extraction with Knowledge-Aware Attention. - Peiyi Wang; Hongtao Liu; Fangzhao Wu; Jinduo Song; Hongyan Xu 001; Wenjun Wang 002 (CCKS, 2019)

NICE: Neural In-Hospital Cost Estimation from Medical Records. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

Sentiment Lexicon Enhanced Neural Sentiment Classification. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

ARP: Aspect-aware Neural Review Rating Prediction. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

Neural Gender Prediction in Microblogging with Emotion-aware User Representation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

Neural Review Rating Prediction with User and Product Memory. - Zhigang Yuan; Fangzhao Wu; Junxin Liu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

Neural CTR Prediction for Native Ad. - Mingxiao An; Fangzhao Wu; Heyuan Wang 001; Tao Di; Jianqiang Huang 001; Xing Xie 001 (CCL, 2019)

Title-Aware Neural News Topic Prediction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CCL, 2019)

Neural Gender Prediction from News Browsing Data. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CCL, 2019)

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. - Xianchen Wang; Hongtao Liu; Peiyi Wang; Fangzhao Wu; Hongyan Xu 001; Wenjun Wang 002; Xing Xie 001 (DASFAA (3), 2019)

Neural News Recommendation with Heterogeneous User Behavior. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Tao Qi; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Neural News Recommendation with Multi-Head Self-Attention. - Chuhan Wu; Fangzhao Wu; Suyu Ge; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. - Chuhan Wu; Fangzhao Wu; Tao Qi; Suyu Ge; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. - Zheng Liu 011; Yu Xing; Fangzhao Wu; Mingxiao An; Xing Xie 001 (IJCAI, 2019)

Neural News Recommendation with Attentive Multi-View Learning. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (IJCAI, 2019)

NPA: Neural News Recommendation with Personalized Attention. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Jianqiang Huang 004; Yongfeng Huang 001; Xing Xie 001 (KDD, 2019)

Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Yongfeng Huang 001 (NAACL-HLT (1), 2019)

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. - Hongtao Liu; Peiyi Wang; Fangzhao Wu; Pengfei Jiao; Wenjun Wang 002; Xing Xie 001; Yueheng Sun (NLPCC (1), 2019)

REKER: Relation Extraction with Knowledge of Entity and Relation. - Hongtao Liu; Yian Wang 002; Fangzhao Wu; Pengfei Jiao; Hongyan Xu 001; Xing Xie 001 (NLPCC (2), 2019)

NRPA: Neural Recommendation with Personalized Attention. - Hongtao Liu; Fangzhao Wu; Wenjun Wang 002; Xianchen Wang; Pengfei Jiao; Chuhan Wu; Xing Xie 001 (SIGIR, 2019)

Neural Demographic Prediction using Search Query. - Chuhan Wu; Fangzhao Wu; Junxin Liu; Shaojian He; Yongfeng Huang 001; Xing Xie 001 (WSDM, 2019)

MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. - Chuhan Wu; Fangzhao Wu; Zhigang Yuan; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (WSDM, 2019)

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. - Junxin Liu; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (WWW, 2019)

Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. - Fangzhao Wu; Junxin Liu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (WWW, 2019)

Helpfulness-aware review based neural recommendation. - Suyu Ge; Tao Qi; Chuhan Wu; Fangzhao Wu; Xing Xie 001; Yongfeng Huang 001 (CCF Trans. Pervasive Comput. Interact., 2019)

Logic Rules Powered Knowledge Graph Embedding. - Pengwei Wang 004; Dejing Dou; Fangzhao Wu; Nisansa de Silva; Lianwen Jin (CoRR, 2019)

Automatic construction of target-specific sentiment lexicon. - Sixing Wu; Fangzhao Wu; Yue Chang; Chuhan Wu; Yongfeng Huang 001 (Expert Syst. Appl., 2019)

Neural Chinese word segmentation with dictionary. - Junxin Liu; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (Neurocomputing, 2019)

Semi-supervised dimensional sentiment analysis with variational autoencoder. - Chuhan Wu; Fangzhao Wu; Sixing Wu; Zhigang Yuan; Junxin Liu; Yongfeng Huang 001 (Knowl. Based Syst., 2019)

Aspect-based sentiment analysis via fusing multiple sources of textual knowledge. - Sixing Wu; Yuanfan Xu; Fangzhao Wu; Zhigang Yuan; Yongfeng Huang 001; Xing Li 001 (Knowl. Based Syst., 2019)

Fine-grained Interest Matching for Neural News Recommendation. - Heyuan Wang 001; Fangzhao Wu; Zheng Liu 011; Xing Xie 001 (ACL, 2020)

MIND: A Large-scale Dataset for News Recommendation. - Fangzhao Wu; Ying Qiao; Jiun-Hung Chen; Chuhan Wu; Tao Qi; Jianxun Lian; Danyang Liu; Xing Xie 001; Jianfeng Gao 001; Winnie Wu; Ming Zhou 001 (ACL, 2020)

Attentive Pooling with Learnable Norms for Text Representation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Xiaohui Cui; Yongfeng Huang 001 (ACL, 2020)

Named Entity Recognition with Context-Aware Dictionary Knowledge. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CNCL, 2020)

Clickbait Detection with Style-Aware Title Modeling and Co-attention. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CNCL, 2020)

A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. - Sixing Wu; Fang Chen; Fangzhao Wu; Yongfeng Huang 001; Xing Li 001 (ECAI, 2020)

Privacy-Preserving News Recommendation Model Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2020)

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. - Chuhan Wu; Fangzhao Wu; Tao Qi; Jianxun Lian; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2020)

User Modeling with Click Preference and Reading Satisfaction for News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (IJCAI, 2020)

SentiRec: Sentiment Diversity-aware Neural News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (AACL/IJCNLP, 2020)

Graph Enhanced Representation Learning for News Recommendation. - Suyu Ge; Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (WWW, 2020)

Neural news recommendation with negative feedback. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001; Xing Xie 001 (CCF Trans. Pervasive Comput. Interact., 2020)

FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. - Suyu Ge; Fangzhao Wu; Chuhan Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

Privacy-Preserving News Recommendation Model Training via Federated Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. - Chuhan Wu; Fangzhao Wu; Tao Di; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

Improving Attention Mechanism with Query-Value Interaction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2020)

Hybrid neural recommendation with joint deep representation learning of ratings and reviews. - Hongtao Liu; Yian Wang 002; Qiyao Peng 001; Fangzhao Wu; Lin Gan; Lin Pan 002; Pengfei Jiao (Neurocomputing, 2020)

Detecting Entities of Works for Chinese Chatbot. - Chuhan Wu; Fangzhao Wu; Tao Qi; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Fairness-aware News Recommendation with Decomposed Adversarial Learning. - Chuhan Wu; Fangzhao Wu; Xiting Wang; Yongfeng Huang 001; Xing Xie 001 (AAAI, 2021)

PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (ACL/IJCNLP (1), 2021)

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Peiru Yang; Yang Yu 038; Xing Xie 001; Yongfeng Huang 001 (ACL/IJCNLP (1), 2021)

One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001 (ACL/IJCNLP (Findings), 2021)

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL/IJCNLP (2), 2021)

Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2021)

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. - Chuhan Wu; Fangzhao Wu; Yang Yu 038; Tao Qi; Yongfeng Huang 001; Qi Liu 003 (EMNLP (Findings), 2021)

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Ruixuan Liu; Guangzhong Sun; Xing Xie 001 (EMNLP (1), 2021)

User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001; Xing Xie 001 (IJCAI, 2021)

DA-Transformer: Distance-aware Transformer. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001 (NAACL-HLT, 2021)

Personalized News Recommendation with Knowledge-aware Interactive Matching. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2021)

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. - Yu Tian; Yuhao Yang 002; Xudong Ren; Pengfei Wang 009; Fangzhao Wu; Qian Wang 002; Chenliang Li 005 (SIGIR, 2021)

Empowering News Recommendation with Pre-trained Language Models. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (SIGIR, 2021)

FeedRec: News Feed Recommendation with Various User Feedbacks. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. - Chuhan Wu; Fangzhao Wu; Yang Cao 011; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Qifei Li; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

MM-Rec: Multimodal News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. - Lingjuan Lyu; Xuanli He; Fangzhao Wu; Lichao Sun 001 (CoRR, 2021)

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001 (CoRR, 2021)

Personalized News Recommendation: A Survey. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001 (CoRR, 2021)

Is News Recommendation a Sequential Recommendation Task? - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

Fastformer: Additive Attention Can Be All You Need. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. - Chuhan Wu; Fangzhao Wu; Tao Qi; Binxing Jiao; Daxin Jiang; Yongfeng Huang 001 (CoRR, 2021)

FedKD: Communication Efficient Federated Learning via Knowledge Distillation. - Chuhan Wu; Fangzhao Wu; Ruixuan Liu; Lingjuan Lyu; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

UserBERT: Contrastive User Model Pre-training. - Chuhan Wu; Fangzhao Wu; Yang Yu 038; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. - Yang Yu 038; Fangzhao Wu; Chuhan Wu; Jingwei Yi; Tao Qi; Qi Liu 003 (CoRR, 2021)

Toward Comprehensive User and Item Representations via Three-tier Attention Network. - Hongtao Liu; Wenjun Wang 002; Qiyao Peng 001; Nannan Wu; Fangzhao Wu; Pengfei Jiao (ACM Trans. Inf. Syst., 2021)

Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Xing Xie 001; Fangzhao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. - Xuanli He; Qiongkai Xu; Lingjuan Lyu; Fangzhao Wu; Chenguang Wang 001 (AAAI, 2022)

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL (2), 2022)

Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL (Findings), 2022)

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xing Xie 001; Meeyoung Cha (ECCV (30), 2022)

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. - Chuhan Wu; Fangzhao Wu; Xiangnan He 001; Yongfeng Huang 001 (EMNLP (Findings), 2022)

Effective and Efficient Query-aware Snippet Extraction for Web Search. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Xiaolong Huang; Binxing Jiao; Guangzhong Sun; Xing Xie 001 (EMNLP, 2022)

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. - Yang Yu 038; Fangzhao Wu; Chuhan Wu; Jingwei Yi; Qi Liu 003 (EMNLP, 2022)

Rethinking InfoNCE: How Many Negative Samples Do You Need? - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001 (IJCAI, 2022)

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. - Changyu Chen; Xiting Wang; Xiaoyuan Yi; Fangzhao Wu; Xing Xie 001; Rui Yan 001 (KDD, 2022)

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Lingjuan Lyu; Hong Chen 001; Xing Xie 001 (KDD, 2022)

FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (KDD, 2022)

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. - Shitao Xiao; Zheng Liu 011; Yingxia Shao; Tao Di; Bhuvan Middha; Fangzhao Wu; Xing Xie 001 (KDD, 2022)

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. - Xuanli He; Qiongkai Xu; Yi Zeng 005; Lingjuan Lyu; Fangzhao Wu; Jiwei Li 001; Ruoxi Jia 001 (NeurIPS, 2022)

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Lingjuan Lyu; Tong Xu 001; Hao Liao; Zhongliang Yang; Yongfeng Huang 001; Xing Xie 001 (NeurIPS, 2022)

News Recommendation with Candidate-aware User Modeling. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2022)

FUM: Fine-grained and Fast User Modeling for News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2022)

ProFairRec: Provider Fairness-aware News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Peijie Sun; Le Wu; Xiting Wang; Yongfeng Huang 001; Xing Xie 001 (SIGIR, 2022)

UserBERT: Pre-training User Model with Contrastive Self-supervision. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (SIGIR, 2022)

Is News Recommendation a Sequential Recommendation Task? - Chuhan Wu; Fangzhao Wu; Tao Qi; Chenliang Li 005; Yongfeng Huang 001 (SIGIR, 2022)

MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Chao Zhang 096; Yongfeng Huang 001; Tong Xu 001 (SIGIR, 2022)

FeedRec: News Feed Recommendation with Various User Feedbacks. - Chuhan Wu; Fangzhao Wu; Tao Qi; Qi Liu 003; Xuan Tian; Jie Li; Wei He 020; Yongfeng Huang 001; Xing Xie 001 (WWW, 2022)

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yanlin Wang 001; Yuqing Yang 001; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

UA-FedRec: Untargeted Attack on Federated News Recommendation. - Jingwei Yi; Fangzhao Wu; Bin Zhu 008; Yang Yu 038; Chao Zhang 096; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

Quality-aware News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Are Big Recommendation Models Fair to Cold Users? - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

End-to-end Learnable Diversity-aware News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Unified and Effective Ensemble Knowledge Distillation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Yang Cao 011; Lingjuan Lyu; Weike Pan; Yun Chen 007; Hong Chen 001; Xing Xie 001 (CoRR, 2022)

FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

Robust Quantity-Aware Aggregation for Federated Learning. - Jingwei Yi; Fangzhao Wu; Huishuai Zhang; Bin Zhu 008; Tao Qi; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Lingjuan Lyu; Tong Xu 001; Zhongliang Yang; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

Two-Stage Neural Contextual Bandits for Personalised News Recommendation. - Mengyan Zhang 001; Thanh Nguyen-Tang; Fangzhao Wu; Zhenyu He 008; Xing Xie 001; Cheng Soon Ong (CoRR, 2022)

Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. - Yueqi Xie; Weizhong Zhang; Renjie Pi; Fangzhao Wu; Qifeng Chen 001; Xing Xie 001; Sunghun Kim 001 (CoRR, 2022)

FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. - Chuhan Wu; Fangzhao Wu; Lingjuan Lyu; Yongfeng Huang 001; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2022)

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. - Wenjun Peng; Jingwei Yi; Fangzhao Wu; Shangxi Wu; Bin Zhu 008; Lingjuan Lyu; Binxing Jiao; Tong Xu 001; Guangzhong Sun; Xing Xie 001 (ACL (1), 2023)

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. - Chao Zhang 096; Fangzhao Wu; Jingwei Yi; Derong Xu; Yang Yu 038; Jindong Wang 001; Yidong Wang 003; Tong Xu 001; Xing Xie 001; Enhong Chen (CIKM, 2023)

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (ICCV, 2023)

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. - Yuchen Liu; Chen Chen 043; Lingjuan Lyu; Fangzhao Wu; Sai Wu; Gang Chen 001 (ICML, 2023)

Personalized Federated Learning with Inferred Collaboration Graphs. - Rui Ye 001; Zhenyang Ni; Fangzhao Wu; Siheng Chen; Yanfeng Wang 001 (ICML, 2023)

FedSampling: A Better Sampling Strategy for Federated Learning. - Tao Qi; Fangzhao Wu; Lingjuan Lyu; Yongfeng Huang 001; Xing Xie 001 (IJCAI, 2023)

FedDefender: Client-Side Attack-Tolerant Federated Learning. - Sungwon Park 001; Sungwon Han 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (KDD, 2023)

UA-FedRec: Untargeted Attack on Federated News Recommendation. - Jingwei Yi; Fangzhao Wu; Bin Zhu 008; Jing Yao; Zhulin Tao; Guangzhong Sun; Xing Xie 001 (KDD, 2023)

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. - Yueqi Xie; Jingqi Gao; Peilin Zhou; Qichen Ye; Yining Hua; Jae Boum Kim; Fangzhao Wu; Sunghun Kim 001 (RecSys, 2023)

Federated Unlearning for On-Device Recommendation. - Wei Yuan 003; Hongzhi Yin; Fangzhao Wu; Shijie Zhang; Tieke He; Hao Wang 005 (WSDM, 2023)

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. - Sungwon Han 001; SeungEon Lee 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xiting Wang; Xing Xie 001; Meeyoung Cha (WWW, 2023)

GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. - Yuchen Liu; Chen Chen 043; Lingjuan Lyu; Fangzhao Wu; Sai Wu; Gang Chen 001 (CoRR, 2023)

Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. - Shangxi Wu; Qiuyang He; Fangzhao Wu; Jitao Sang; Yaowei Wang 001; Changsheng Xu (CoRR, 2023)

Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. - Jiawei Shao; Fangzhao Wu; Jun Zhang 004 (CoRR, 2023)

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Keegan Hines; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (CoRR, 2023)

Personalized News Recommendation: Methods and Challenges. - Chuhan Wu; Fangzhao Wu; Yongfeng Huang 001; Xing Xie 001 (ACM Trans. Inf. Syst., 2023)

Defending ChatGPT against jailbreak attack via self-reminders. - Yueqi Xie; Jingwei Yi; Jiawei Shao; Justin Curl; Lingjuan Lyu; Qifeng Chen 001; Xing Xie 001; Fangzhao Wu (Nat. Mac. Intell., 2023)

On the Vulnerability of Safety Alignment in Open-Access LLMs. - Jingwei Yi; Rui Ye 001; Qisi Chen; Bin Zhu 008; Siheng Chen; Defu Lian; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (ACL (Findings), 2024)

Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector. - Zhihao Xu 003; Ruixuan Huang; Xiting Wang; Fangzhao Wu; Jing Yao; Xing Xie 001 (CoRR, 2024)

Measuring Human Contribution in AI-Assisted Content Generation. - Yueqi Xie; Tao Qi; Jingwei Yi; Ryan Whalen; Junming Huang 001; Qian Ding; Yu Xie; Xing Xie 001; Fangzhao Wu (CoRR, 2024)

Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (KDD (1), 2025)

A Survey on Federated Recommendation Systems. - Zehua Sun; Yonghui Xu; Yong Liu 020; Wei He 020; Lanju Kong; Fangzhao Wu; Yali Jiang; Lizhen Cui (IEEE Trans. Neural Networks Learn. Syst., 2025)

Uncovering inequalities in new knowledge learning by large language models across different languages. - Chenglong Wang 004; Haoyu Tang; Xiyuan Yang; Yueqi Xie; Jina Suh; Sunayana Sitaram; Junming Huang 001; Yu Xie; Zhaoya Gong; Xing Xie 001; Fangzhao Wu (CoRR, 2025)

Defending against Indirect Prompt Injection by Instruction Detection. - Tongyu Wen; Chenglong Wang 004; Xiyuan Yang; Haoyu Tang; Yueqi Xie; Lingjuan Lyu; Zhicheng Dou; Fangzhao Wu (CoRR, 2025)