Portrait of Fangzhao Wu

Fangzhao Wu

Researcher

About

Fangzhao Wu is now a researcher at Social Computing (SC) group, Microsoft Research Asia. He joined MSRA in 2017. His research mainly focuses on natural language processing, user profiling and social media mining. He has published several papers on conferences and journals in NLP and data mining areas, such as ACL, KDD, WWW, AAAI, IJCAI, SIGIR, WSDM, CIKM, ICDM and TKDE.

Fangzhao Wu received the Ph.D. and B.S. degrees both from Electronic Engineering Department of Tsinghua University in 2017 and 2012 respectively.

吴方照,微软亚洲研究院(MSRA)社会计算组副研究员,2017年加入MSRA。研究兴趣为自然语言处理、用户画像和社交媒体挖掘。在自然语言处理和数据挖掘领域的会议和期刊如ACL, KDD, WWW, AAAI, IJCAI, SIGIR, WSDM, CIKM, ICDM and TKDE上发表过若干论文。

吴方照分别于2012和2017年在清华大学电子工程系获得学士和博士学位。

 

Recent News:

5/2019: Our paper “Neural News Recommendation with Long- and Short-term User Representations” is accepted by ACL 2019. Congratulations to Mingxiao, Chuhan, and all the collaborators!

5/2019: Our paper “Neural News Recommendation with Topic-Aware News Representation” is accepted by ACL 2019. Congratulations to Chuhan, Mingxiao, and all the collaborators!

5/2019: Our paper “Exploring Sequence-to-Sequence Learning in Aspect Term Extraction” is accepted by ACL 2019. Congratulations to Dehong and all the collaborators!

5/2019: Our paper “Neural News Recommendation with Attentive Multi-View Learning” is accepted by IJCAI 2019. Congratulations to Chuhan, Mingxiao, Jianqiang and all the collaborators!

5/2019: Our paper “Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network” is accepted by IJCAI 2019. Congratulations to Zheng, Mingxiao, and all the collaborators!

4/2019: Our paper “NPA: Neural News Recommendation with Personalized Attention” is accepted by KDD 2019. Congratulations to Chuhan, Mingxiao, Jianqiang and all the collaborators!

4/2019: One of our paper on neural recommendation is accepted by SIGIR 2019. Congratulations to Hongtao and all the collaborators!

2/2019: Our paper “Hierarchical User and Item Representation with Three-Tier Attention for Recommendation” is accepted by NAACL 2019. Congratulations to Chuhan and all the collaborators!

1/2019: Our paper “Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation” is accepted by WWW 2019. Congratulations to Junxin, Chuhan and all the collaborators!

1/2019: Our paper “Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization” is accepted by WWW 2019. Congratulations to Chuhan, Junxin and all the collaborators!

1/2019: Our paper “Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors” is accepted by DASFAA 2019. Congratulations to Hongtao and all the collaborators!

11/2018: Our paper “DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching” is accepted by AAAI 2019. Congratulations to Kun and all the collaborators!

10/2018: Our paper “Neural Demographic Prediction using Search Query” is accepted by WSDM 2019. Congratulations to Chuhan, Junxin and all the collaborators!

10/2018: Our paper “MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention” is accepted by WSDM 2019. Congratulations to Chuhan and all the collaborators!

10/2018: Our paper “Semi-supervised Dimensional Sentiment Analysis with Variational Autoencoder” is accepted by Knowledge-Based Systems. Congratulations to Chuhan and all the collaborators!

08/2018: Our paper “Neural Sentence-level Sentiment Classification with Heterogeneous Supervision” is accepted by ICDM 2018. Congratulations to Zhigang and all the collaborators!

08/2018: Our paper “Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference” is accepted by ICDM 2018. Congratulations to Kun and all the collaborators!

08/2018: Our system ranked 1st in the first and third shared tasks of Social Media Mining for Health Applications (SMM4H) Workshop!

08/2018: Two of our papers are accepted by CIKM 2018 as short papers. Congratulations to Chuhan, Junxin and all the collaborators!

07/2018: Our paper “Automatic construction of target-specific sentiment lexicon” is accepted by Expert Systems With Applications. Congratulations to Sixing and all the collaborators!

06/2018: Our paper “Neural Chinese Word Segmentation with Dictionary Knowledge” is accepted by NLPCC 2018. Congratulations to Junxin and all the collaborators!

04/2018: Our system ranked 1st in the NAACL2018 shared task on Metaphor Detection!

02/2018: Our system ranked 2nd in the third shared task of SemEval-2018 on Irony detection in English tweets!

 

Other

2019

  1. Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie: NPA: Neural News Recommendation with Personalized Attention, KDD 2019
  2. Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie: Neural News Recommendation with Long- and Short-term User Representations, ACL 2019
  3. Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang and Xing Xie: Neural News Recommendation with Topic-Aware News Representation, ACL 2019
  4. Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie and Houfeng Wang: Exploring Sequence-to-Sequence Learning in Aspect Term Extraction, ACL 2019
  5. Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang and Xing Xie: Neural News Recommendation with Attentive Multi-View Learning, IJCAI 2019
  6. Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, and Xing Xie: Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network, IJCAI 2019
  7. Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie: Neural Demographic Prediction using Search Query, WSDM 2019
  8. 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
  9. 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
  10. Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie: Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization, WWW 2019
  11.  Chuhan Wu, Fangzhao Wu, et al. : Hierarchical User and Item Representation with
    Three-Tier Attention for Recommendation, NAACL 2019
  12. Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu and Xing Xie: NRPA: Neural Recommendation with Personalized Attention, SIGIR 2019
  13. Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie: DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching, AAAI 2019

2018

  1. Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie: Neural Sentence-level Sentiment Classification with Heterogeneous Supervision, ICDM 2018
  2. Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, and Fangzhao Wu: Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference, ICDM 2018
  3. Fangzhao Wu, Chuhan Wu, Junxin Liu: Imbalanced Sentiment Classification with Multi-Task Learning. CIKM 2018: 1631-1634
  4. Fangzhao Wu, Chuhan Wu, Junxin Liu: Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging. CIKM 2018: 1791-1794
  5. Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie: Neural Chinese Word Segmentation with Dictionary Knowledge. NLPCC (2) 2018: 80-91
  6. Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Yongfeng Huang: A hybrid unsupervised method for aspect term and opinion target extraction. Knowl.-Based Syst. 148: 66-73 (2018)
  7. Zhigang Yuan, Sixing Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang: Domain attention model for multi-domain sentiment classification. Knowl.-Based Syst. 155: 1-10 (2018)
  8. 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: 51-56
  9. 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: 186-192
  10. 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: 410-414
  11. 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: 958-962

2017

  1. Fangzhao Wu, Yongfeng Huang, Jun Yan: Active Sentiment Domain Adaptation. ACL (1) 2017: 1701-1711
  2. Fangzhao Wu, Jia Zhang, Zhigang Yuan, Sixing Wu, Yongfeng Huang, Jun Yan: Sentence-level Sentiment Classification with Weak Supervision. SIGIR 2017: 973-976
  3. Fangzhao Wu, Zhigang Yuan, Yongfeng Huang: Collaboratively Training Sentiment Classifiers for Multiple Domains. IEEE Trans. Knowl. Data Eng. 29(7): 1370-1383 (2017)
  4. 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 (Shared Tasks) 2017: 47-52

 

Acamedic Service and Activity

PC member:

  1. PC of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
  2. PC of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
  3. PC of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019
  4. PC of the AAAI Conference on Artificial Intelligence (AAAI), 2019
  5. PC  of the 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019 (Outstanding PC reward)
  6. PC  of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
  7. PC  of the 11th ACM International Conference on Web Search and Data Mining (WSDM), 2018

 

Reviewer:

  1. TIST, TKDD, TOIS, KBS

 

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