Get to know me

Hello! I am currently a PostDoc working with Prof. Noah Smith and Prof. Hanna Hajishirzi in Paul G. Allen School of Computer Science and Engineering at the University of Washington. I was previously a Research Fellow under the "Lee Kuan Yew Postdoctoral Fellowship" in Nanyang Technological University. I worked with Prof. Sinno Jialin Pan, who was also my supervisor during my PhD studies in NTU. My research interests include deep learning, logic reasoning with knowledge integration and their applications in natural language processing, e.g., information extraction, natural language understanding etc. Prior to PhD, I received my bachelor degree in Mathematical Sciences, NTU.

Publication

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Quanyu Long, Tianze Luo, Wenya Wang and Sinno Jialin Pan. To appear in Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-22). Seattle, Washington, USA. July 10-15, 2022. (Long paper)

Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.
Wenya Wang and Sinno Jialin Pan. To appear in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22). Dublin, Ireland. May 22-27, 2022. (Long paper)

Variational Deep Logic Network for Joint Inference of Entities and Relations.
Wenya Wang and Sinno Jialin Pan. In Computational Linguistics. Volume 47 (4), pages 775–812. (CL 2021)

Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer.
Tao Liang, Wenya Wang and Fengmao Lv. In IEEE Transactions on Neural Networks and Learning Systems. Pages 1-12. (TNNLS 2021)

Deep Weighted MaxSAT for Aspect-based Opinion Extraction.
Meixi Wu, Wenya Wang and Sinno Jialin Pan. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP-20). (Long paper)

Integrating Deep Learning with Logic Fusion for Information Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20). New York, USA. Feb. 7-12, 2020. (Full paper)

Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction.
Wenya Wang and Sinno Jialin Pan. In Computational Linguistics (CL). 2019.

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization .
Shangyu Chen, Wenya Wang and Sinno Jialin Pan. In 33rd Conference on Neural Information Processing Systems 2019 (NeurIPS-19). Vancouver, Canada. Dec. 8-14, 2019. (Full paper)

Cooperative Pruning in Cross-Domain Deep Neural Network Compression.
Shangyu Chen, Wenya Wang and Sinno Jialin Pan. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug. 10-16, 2019. (Full paper) [paper]

Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data.
Shangyu Chen, Wenya Wang and Sinno Jialin Pan. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. (Full paper) [paper][code]

Transferable Interactive Memory Network for Domain Adaptation in Fine-grained Opinion Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA. Jan. 27 - Feb. 1, 2019. (Full paper) [paper]

Memory Networks for Fine-grained Opinion Mining.
Wenya Wang, Sinno Jialin Pan and Daniel Dahlmeier. In Artificial Intelligence (AIJ). Volume 265, Pages 1-17, 2018. [paper]

Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18). Melbourne, Australia. July 15-20, 2018. (Long paper) [paper][code/data]

Transition-based Adversarial Network for Cross-lingual Aspect Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18). Stockholm, Sweden. July 13-19, 2018. (Full paper) [paper]

Coupled Multi-layer Attentions for Co-extraction of Aspect and Opinion Terms.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier and Xiaokui Xiao. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). San Francisco, CA, USA. February 4-9, 2017. (Full paper) [paper][code/data]

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier and Xiaokui Xiao. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-16). Austin, Texas, USA. November 1-5, 2016. (Long paper) [paper][code/data]

Talk

  • Tutorial: Fine-grained Opinion Mining: Current Trend and Cutting-Edge Dimensions, at the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China. Aug. 2019. [website]
  • Professional Service

    Conference Session Chair
  • Natural Language Semantics, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
  • Information Extraction, the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

  • Conference PC Member
  • The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)

  • The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
  • The 33th Annual Conference on Neural Information Processing Systems (NeurIPS 2019)
  • The 36th International Conference on Machine Learning (ICML 2019)
  • The 33th AAAI Conference on Artificial Intelligence (AAAI 2019)
  • The 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)
  • Annual Conference of the North American Chapter of the Association for Computational Linguistics(NAACL-HLT 2019)
  • The International Conference on Learning Representations (ICLR 2019)
  • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019)
  • The 32th Annual Conference on Neural Information Processing Systems (NeurIPS 2018)
  • The 10th Asian Conference on Machine Learning (ACML 2018)
  • The 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017)

  • Journal Reviewer
  • SCIENCE CHINA Information Sciences, 2019
  • Transactions on Asian and Low-Resource Language Information Processing (TALLIP 2019)
  • Transactions on Asian and Low-Resource Language Information Processing (TALLIP 2018)
  • Machine Learning Journal, Springer, 2018
  • Natural Language Engineering, Cambridge University Press (NLE 2018)
  • Experience

  • International Postdoctoral Fellowship (awarded by NTU), Paul G. Allen School of Computer Science & Engineering, University of Washington. (Jan 2022 - present)
  • Lee Kuan Yew Postdoctoral Fellowship, School of Computer Science and Engineering, Nanyang Technological University (NTU). (Jul 2019 - Jan 2022)
  • Research Fellow, School of Computer Science and Engineering, Nanyang Technological University (NTU). (Jul 2018 - Jun 2019)
  • Research Associate, PhD schorlarship, SAP Innovation Center Singapore. (Aug 2014 - June 2018)
  • Ph.D Student, School of Computer Science and Engineering, Nanyang Technological University (NTU). (Aug 2014 - Jul 2018)
  • B.Sc, First Class Honor, Mathematical Sciences, Nanyang Technological University (NTU). (Aug 2010 - May 2014)
  • Exchange Student, Technical University of Munich (TUM), Germany. (Apr 2013 - Aug 2013)