Recent News

  • [May 2024] One paper accepted to KDD'24 and two papers accepted to ACL'24

Research & Service

Selected Publications

See Google Scholar for my complete and up-to-date publication list.

  • [ KDD 2024 ]
    Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan, "TnT-LLM: Text Mining at Scale with Large Language Models", (to appear) in Proceedings of 2024 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, Spain Aug. 2024.
    [ paper ]

  • [ ACL 2024 ]
    Ying-Chun Lin, Jennifer Neville, Jack W Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan, "Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models", (to appear) in Proceedings of 2024 Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand, Aug. 2024.
    [ paper ]

  • [ ACL 2024 ]
    Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi, "S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs", (to appear) in Proceedings of 2024 Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand, Aug. 2024.
    [ paper ]

  • [ KDD 2023 ]
    Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu, "Workplace Recommendation with Temporal Network Objectives", in Proceedings of 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, Aug. 2023.
    [ paper ]

  • [ TheWebConf 2023 ]
    Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan, "Large-Scale Analysis of New Employee Network Dynamics", in Proceedings of 2023 The Web Conference (TheWebConf'23), Austin, TX, USA, Apr. 2023.
    [ paper ]

  • [ KDD 2022 ]
    Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan, "Learning Causal Effects on Hypergraphs", in Proceedings of 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), Washington DC, USA, Aug 2022.
    [ paper ] [ code ]

    Best Research Paper Award

  • [ WSDM 2020 ]
    Mengting Wan, Jianmo Ni, Rishabh Misra, Julian McAuley, "Addressing Marketing Bias in Product Recommendations", in Proceedings of 2020 ACM Conference on Web Search and Data Mining (WSDM'20), Houston, TX, USA, Feb. 2020.
    [ paper ] [ data/code ] [ slides ]

  • [ ACL 2019 ]
    Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley, "Fine-Grained Spoiler Detection from Large-Scale Review Corpora", in Proceedings of 2019 Annual Meeting of the Association for Computational Linguistics (ACL'19), Florence, Italy, Jul. 2019.
    [ paper ] [ data ] [ poster ]

  • [ CIKM 2018 ]
    Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian McAuley, "Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty", in Proceedings of 2018 ACM Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018.
    [ paper ] [ slides ] [ code ]

  • [ RecSys 2018 ]
    Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proceedings of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
    [ paper ] [ slides ] [ data ] [ code ]

  • [ WWW 2017 ]
    Mengting Wan, Di Wang, Matt Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian McAuley, "Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs", in Proceedings of 2017 International World Wide Web Conference (WWW'17), Perth, Australia, Apr. 2017
    [ paper ] [ slides ]

Academic Service

I am currently taking a break from paper reviewing, with very few exceptions.

I used to actively serve for top-tier conferences and journals in the fields of Machine Learning, Natural Language Processing, and Recommender Systems (and have won several top-reviewer awards).
Here includes a list of academic events I organized, and an (incomplete) list of conferences and journals that I have served for in the past.

  • Co-Organizer
    The AAAI-19 Workshop on Recommender Systems and Natural Language Processing (RecNLP 2019)
    The Workshop on Recommender Systems for the Future of Work (RecWork 2022)

  • Program Committee Member/Senior PC Member/Area Chair/Invited Reviewer
    • AAAI Conference on Artificial Intelligence (AAAI)
    • Annual Meeting of the Association for Computational Linguistics (ACL)
    • International Conference on Artificial Intelligence and Statistics (AISTATS)
    • The Conference on Information and Knowledge Management (CIKM)
    • The Conference on Empirical Methods in Natural Language Processing (EMNLP)
    • The International Conference on Learning Representations (ICLR)
    • International Conference on Machine Learning (ICML)
    • The International AAAI Conference on Web and Social Media (ICWSM)
    • The Conference on Neural Information Processing Systems (NeurIPS)
    • The ACM Conference on Recommender Systems (RecSys)
    • SIAM International Conference on Data Mining (SDM)
    • The Web Conference (TheWebConf)
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI);
    • IEEE Transactions on Knowledge and Data Engineering (TKDE);
    • Transactions on Information Systems (TOIS);
    • Transactions on Intelligent Systems and Technology (TIST);
    • Transactions on Machine Learning Research (TMLR).

Miscellaneous

  • My name in Chinese characters: 万梦婷 (simplified) / 萬夢婷 (traditional). I was born in Yinchuan, a beautiful city in northwest China.