Chuhan Wu

2021

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

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

Chuhan Wu, Fangzhao Wu, Yongfeng Huang: One Teacher is Enough? Language Model Distillation from Multiple Teachers. Findings of ACL-IJCNLP 2021.

Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang: PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL-IJCNLP 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, Tao Qi, Yongfeng Huang: Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021.

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

Chuhan Wu, Fangzhao Wu, Yongfeng Huang: DA-Transformer: Distance-aware Transformer. NAACL 2021.

Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie: FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021.

2020

Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang: Attentive Pooling with Learnable Norms for Text Representation. ACL 2020.

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

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

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

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI 2020.

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

Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang: Named Entity Recognition in Multi-level Contexts. AACL-IJCNLP 2020.

Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: Graph Enhanced Representation Learning for News Recommendation. WWW 2020.

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: Named Entity Recognition with Context-Aware Dictionary Knowledge. CCL 2020.

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: Clickbait Detection with Style-Aware Title Modeling and Co-attention. CCL 2020.

2019

Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie: Neural News Recommendation with Topic-Aware News Representation. ACL 2019.

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

Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie: NPA: Neural News Recommendation with Personalized Attention. KDD 2019.

Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie: Neural News Recommendation with Long- and Short-term User Representations. ACL 2019.

Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie: Neural News Recommendation with Heterogeneous User Behavior. EMNLP-IJCNLP 2019.

Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie: Neural News Recommendation with Multi-Head Self-Attention. EMNLP-IJCNLP 2019.

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

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

Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie: Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM 2019.

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

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

Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang: Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. NAACL 2019.

Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie: Neural Demographic Prediction using Search Query. WSDM 2019.

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

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

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

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

Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie: NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019.

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

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie: Neural Gender Prediction from News Browsing Data. CCL 2019.

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

2018

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

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

Yubo Chen, Hongtao Liu, Chuhan Wu, Zhigang Yuan, Minyu Jiang, Yongfeng Huang: Distant Supervision for Relation Extraction with Neural Instance Selector. NLPCC 2018.

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

Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie: Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC 2018.

2017

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

2021

Kaiye Yu, Zhongliang Yang, Chuhan Wu, Yongfeng Huang, Xiaolei Xie: In-hospital Resource Utilization Prediction from Electronic Medical Records with Deep Learning. Knowl. Based Syst. 2021.

2020

Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie: Detecting Entities of Works for Chinese Chatbot. TALLIP. 2020.

Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie: Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. 2020.

2019

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

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

Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie: Neural Chinese word segmentation with dictionary. Neurocomputing. 2019.

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

2018

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

2019

Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang: THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. SemEval 2019.

Tao Qi, Suyu Ge, Chuhan Wu, Yubo Chen, Yongfeng Huang: THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. SemEval 2019.

2018

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

Chuhan Wu, Fangzhao Wu, Sixing Wu, Yongfeng Huang, Xing Xie: Tweet Emoji Prediction Using Hierarchical Model with Attention. UbiComp/ISWC Adjunct 2018.

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

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

Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang: THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model. SemEval 2018.

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