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)

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)

Distant Supervision for Relation Extraction with Neural Instance Selector. - Yubo Chen 002; Hongtao Liu; Chuhan Wu; Zhigang Yuan; Minyu Jiang; Yongfeng Huang 001 (NLPCC (1), 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)

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)

Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. - Ji Zhao 010; Dan Peng; Chuhan Wu; Huan Chen; Meiyu Yu; Wanji Zheng; Li Ma; Hua Chai; Jieping Ye; Xiaohu Qie (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)

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)

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)

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 News Recommendation with Heterogeneous User Behavior. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Tao Qi; Jianqiang Huang; 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)

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

NPA: Neural News Recommendation with Personalized Attention. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Jianqiang Huang; 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)

THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2019)

THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. - Tao Qi; Suyu Ge; Chuhan Wu; Yubo Chen 002; Yongfeng Huang 001 (SemEval@NAACL-HLT, 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)

Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SMM4H@ACL, 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)

Legends of Nature and Editors-in-chief. - Zhiwen Hu; Chuhan Wu; Zhongliang Yang; Yongfeng Huang 001 (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)

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)

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)

Named Entity Recognition in Multi-level Contexts. - Yubo Chen 002; Chuhan Wu; Tao Qi; Zhigang Yuan; Yongfeng Huang 001 (AACL/IJCNLP, 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)

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)

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)

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)

In-hospital resource utilization prediction from electronic medical records with deep learning. - Kaiye Yu; Zhongliang Yang; Chuhan Wu; Yongfeng Huang 001; Xiaolei Xie (Knowl. Based Syst., 2021)

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)

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)

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; Yongfeng Huang 001 (SIGIR, 2022)

MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Chao Zhang; 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)

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)

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)

Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. - Yubo Chen 002; Chuhan Wu; Yongfeng Huang 001 (Neurocomputing, 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)

A Token-wise Graph-based Framework for Multimodal Named Entity Recognition. - Zhengxuan Zhang; Weixing Mai; Haoliang Xiong; Chuhan Wu; Yun Xue (ICME, 2023)

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. - Chuhan Wu; Qinglin Jia; Zhenhua Dong; Ruiming Tang (RecSys, 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)

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. - Xiaofan Liu; Qinglin Jia; Chuhan Wu; Jingjie Li; Quanyu Dai; Lin Bo; Rui Zhang 003; Ruiming Tang (WWW (Companion Volume), 2023)

Contrastive Multi-view Framework for Customer Lifetime Value Prediction. - Chuhan Wu; Jingjie Li; Qinglin Jia; Hong Zhu 003; Yuan Fang; Ruiming Tang (CoRR, 2023)

Semi-supervised named entity recognition in multi-level contexts. - Yubo Chen 002; Chuhan Wu; Tao Qi; Zhigang Yuan; Yuesong Zhang; Shuai Yang; Jian Guan 009; Donghong Sun; Yongfeng Huang 001 (Neurocomputing, 2023)

Architecture Alternative Deep Multi-View Clustering. - Ke Ping; Shuxiao Li; Chuhan Wu; Zhenwen Ren (IEEE Signal Process. Lett., 2023)

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

BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction. - Haoliang Xiong; Zehao Yan; Chuhan Wu; Guojun Lu; Shiguan Pang; Yun Xue; Qianhua Cai (Int. J. Mach. Learn. Cybern., 2023)

Learning to Edit: Aligning LLMs with Knowledge Editing. - Yuxin Jiang; Yufei Wang 005; Chuhan Wu; Wanjun Zhong; Xingshan Zeng; Jiahui Gao; Liangyou Li; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Qun Liu 001; Wei Wang (ACL (1), 2024)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Chuhan Wu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CCIR, 2024)

Confidence-Aware Multi-Field Model Calibration. - Yuang Zhao; Chuhan Wu; Qinglin Jia; Hong Zhu 003; Jia Yan; Libin Zong; Linxuan Zhang; Zhenhua Dong; Muyu Zhang (CIKM, 2024)

CIMTD: Class Incremental Multi-Teacher Knowledge Distillation for Fractal Object Detection. - Chuhan Wu; Xiaochuan Luo; Haoran Huang; Yulin Zhang 002 (PRCV (12), 2024)

A Tutorial on Feature Interpretation in Recommender Systems. - Zhaocheng Du; Chuhan Wu; Qinglin Jia; Jieming Zhu; Xu Chen 017 (RecSys, 2024)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. - Yu Liu 083; Qinglin Jia; Shuting Shi; Chuhan Wu; Zhaocheng Du; Zheng Xie 001; Ruiming Tang; Muyu Zhang; Ming Li 005 (RecSys, 2024)

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. - Zhaocheng Du; Junhao Chen; Qinglin Jia; Chuhan Wu; Jieming Zhu; Zhenhua Dong; Ruiming Tang (WWW (Companion Volume), 2024)

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. - Peijie Sun; Yifan Wang 017; Min Zhang 006; Chuhan Wu; Yan Fang; Hong Zhu 003; Yuan Fang; Meng Wang 001 (WWW (Companion Volume), 2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial. - Jieming Zhu; Xin Zhou 008; Chuhan Wu; Rui Zhang 003; Zhenhua Dong (WWW (Companion Volume), 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Adaptive and robust watermark against model extraction attack. - Kaiyi Pang; Tao Qi; Chuhan Wu; Minhao Bai (CoRR, 2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial. - Jieming Zhu; Chuhan Wu; Rui Zhang 003; Zhenhua Dong (CoRR, 2024)

Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction. - Kexin Jiang; Chuhan Wu; Yaoran Chen (CoRR, 2024)

Entropy Law: The Story Behind Data Compression and LLM Performance. - Mingjia Yin; Chuhan Wu; Yufei Wang 005; Hao Wang 076; Wei Guo 006; Yasheng Wang; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Performance Law of Large Language Models. - Chuhan Wu; Ruiming Tang (CoRR, 2024)

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. - Yuanqing Yu; Zhefan Wang; Weizhi Ma; Zhicheng Guo; Jingtao Zhan; Shuai Wang 020; Chuhan Wu; Zhiqiang Guo; Min Zhang 006 (CoRR, 2024)

Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Tingjia Shen; Hao Wang 076; Chuhan Wu; Jin Yao Chin; Wei Guo 006; Yong Liu 020; Huifeng Guo; Defu Lian; Ruiming Tang; Enhong Chen (CoRR, 2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. - Zhuo Wu; Qinglin Jia; Chuhan Wu; Zhaocheng Du; Shuai Wang 020; Zan Wang; Zhenhua Dong (CoRR, 2024)

CogAware: Cognition-Aware framework for sentiment analysis with textual representations. - Zhihan Zhang; Chuhan Wu; Hongyi Chen; Hongyang Chen (Knowl. Based Syst., 2024)

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. - Peijie Sun; Yifan Wang 017; Min Zhang 006; Chuhan Wu; Yan Fang; Hong Zhu 003; Yuan Fang; Meng Wang 001 (Zenodo, 2024)

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. - Yuxin Jiang; Yufei Wang 005; Chuhan Wu; Xinyi Dai; Yan Xu; Weinan Gan; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Wei Wang (ACL (Findings), 2025)

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. - Qiyuan Zhang; Yufei Wang 005; Yuxin Jiang; Liangyou Li; Chuhan Wu; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ACL (1), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. - Qiyuan Zhang; Yufei Wang 005; Tiezheng Yu; Yuxin Jiang; Chuhan Wu; Liangyou Li; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ICLR, 2025)

Beyond Utility: Evaluating LLM as Recommender. - Chumeng Jiang; Jiayin Wang; Weizhi Ma; Charles L. A. Clarke; Shuai Wang 020; Chuhan Wu; Min Zhang 006 (WWW, 2025)

Few-shot LLM Synthetic Data with Distribution Matching. - Jiyuan Ren; Zhaocheng Du; Zhihao Wen; Qinglin Jia; Sunhao Dai; Chuhan Wu; Zhenhua Dong (WWW (Companion Volume), 2025)

ModelShield: Adaptive and Robust Watermark Against Model Extraction Attack. - Kaiyi Pang; Tao Qi; Chuhan Wu; Minhao Bai; Minghu Jiang; Yongfeng Huang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. - Xu Huang 008; Weiwen Liu; Xingshan Zeng; Yuefeng Huang; Xinlong Hao; Yuxian Wang; Yirong Zeng; Chuhan Wu; Yasheng Wang; Ruiming Tang; Defu Lian (CoRR, 2025)

The Real Barrier to LLM Agent Usability is Agentic ROI. - Weiwen Liu; Jiarui Qin; Xu Huang 008; Xingshan Zeng; Yunjia Xi; Jianghao Lin; Chuhan Wu; Yasheng Wang; Lifeng Shang; Ruiming Tang; Defu Lian; Yong Yu 001; et al. (CoRR, 2025)

Advanced long-term earth system forecasting by learning the small-scale nature. - Hao Wu; Yuan Gao; Ruiqi Shu; Kun Wang 056; Ruijian Gou; Chuhan Wu; Xinliang Liu; Juncai He; Shuhao Cao; Junfeng Fang; Xingjian Shi; Feng Tao; et al. (CoRR, 2025)

WildSpeech-Bench: Benchmarking Audio LLMs in Natural Speech Conversation. - Jian Zhang; Linhao Zhang; Bokai Lei; Chuhan Wu; Wei Jia; Xiao Zhou (CoRR, 2025)

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. - Xianquan Wang; Zhaocheng Du; Jieming Zhu; Chuhan Wu; Qinglin Jia; Zhenhua Dong (CoRR, 2025)

Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation. - Huili Wang; Chuhan Wu; Yongfeng Huang 001; Tao Qi (ACM Trans. Inf. Syst., 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)