Get to know me

I am an Assistant Professor with the school of Computer Science and Engineering at Nanyang Technological University. Prior to joining NTU, I worked with Noah Smith and Hanna Hajishirzi as a Postdoc in Paul G. Allen School of Computer Science and Engineering at the University of Washington. I completed my PhD under the supervision of Sinno Jialin Pan at Nanyang Technological University.

My main research interest lies in Natural Language Processing with extension to Multimodal Learning, particularly investigating and utilising the mystery of generative models in the following dimensions:

  • Model Reasoning: Studying and enhancing the structured reasoning capability of generative models, including but not limited to symbolic reasoning, logic reasoning and causal reasoning, with the aim to build more robust models to solve complex tasks beyond semantic understanding.
  • Explainability and Trustworthiness: Developing effective models for misinformation/hallucination detection and mitigation. Enhancing models' explainability.
  • Efficient Learning: Developing small-scale models and optimizing long contexts.

I am now actively looking for motivated PhD Students and Research Assistants with an interest in natural language processing or multimodal reasoning.

Scholarship

Potential PhD scholarship opportunities

Publications

Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning.
Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 1st Conference on Language Modeling (COLM-24). Philadelphia, PA, USA. October 7-9, 2024.

Progressive multimodal pivot learning: towards semantic discordance understanding as humans.
Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv. In ACM International Conference on Information and Knowledge Management (CIKM-24). Boise, Idaho, USA. October 21-25, 2024

Generative Multimodal Data Augmentation for Low-Resource Multimodal Named Entity Recognition.
Ziyan Li, Jianfei Yu, Jia Yang, Wenya Wang, Li Yang, Rui Xia. In ACM International Conference on Multimedia (ACM MM). Melbourne, Australia. October 28-November 1, 2024.

Sentiment-oriented sarcasm integration for video sentiment analysis enhancement with sarcasm assistance.
Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv. In ACM International Conference on Multimedia (ACM MM). Melbourne, Australia. October 28-November 1, 2024.

Training Language Models to Generate Text with Citations via Fine-grained Rewards.
Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang. In Proceedings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL-24, main). Bangkok, Thailand. August 11-16, 2024.

TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection.
Hui Liu, Wenya Wang, Haoru Li, Haoliang Li. In Findings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL-24). Bangkok, Thailand. August 11-16, 2024.

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang Xiang Ren. In Findings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL-24). Bangkok, Thailand. August 11-16, 2024.

Adapt in Contexts: Effective Domain Adaptation via In-Context Learning.
Quanyu Long, Wenya Wang, Sinno Jialin Pan. In Proceedings of 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-23). (main)

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements.
Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hanna Hajishirzi. In Proceedings of 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-23). (main)

Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Hui Liu, Wenya Wang, Hao Sun, Anderson Rocha, and Haoliang Li. IEEE Transactions on Information Forensics and Security, 2023.

Elaboration-Generating Commonsense Question Answering at Scale.
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith. In Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL-23). Toronto, Canada. July 9-14, 2023. (Long paper)

Interpretable Multimodal Misinformation Detection with Logic Reasoning.
Hui Liu, Wenya Wang, Haoliang Li. In Findings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL-23). Toronto, Canada. July 9-14, 2023.

Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement.
Hui Liu, Wenya Wang, Haoliang Li. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-22). (Long paper)

Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction.
Fengmao Lv, Tao Liang, Zhihui Fei, Wenya Wang. In IEEE Transactions on Neural Networks and Learning Systems. (TNNLS 2022)

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan. 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. 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, 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, 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, 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, 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, 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, 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, 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, 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

  • Invited Talk: Towards Trustworthy AI for Effective Misinformation Detection. The 6th Huawei Forum on Trust and Privacy for the Future Digital World, Singapore. 2023.
  • Invited Talk: Do LLMs Excel in Every Aspect? Overcoming Limitations through Scalable Learning. NLP SIG Research Seminar, NUS IDS. 2023.
  • Invited Talk: Enhance Model Reasoning and Interpretability. StatNLP Group, SUTD. 2023.
  • 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)