I am a Senior Research Scientist at Microsoft's Office of Applied Research.
Before Microsoft I was a scientist at Airbnb working on ML and NLP problems.
I obtained my Ph.D. at University of California, San Diego
(UCSD), advised by Prof. Julian McAuley. Before
that, I received my master's degree in Statistics
from University of Illinois at Urbana-Champaign, and my undergraduate degree in Statistics from Peking University. I was also a student from the
liberal arts college program (Yuanpei
Program) at Peking University.
My current research focuses on User-Centric Large Language Models (LLMs) and LLM-Based Human-AI Interactive Systems.
I remain interested in Recommender Systems, Graph Machine Learning, Computational Social Sciences, as well as re-thinking research problems in these areas in the context of LLMs.
Mengting Wan, Ph.D.
- Pronouns: She, Her
- My LinkedIn
- My Email
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- My Github
Recent News
- [Dec. 2023] A few new manuscripts about LLMs were out on ArXiv.
- [May 2023] The Goodreads datasets were moved! Please see our new project webpage on how to download the datasets.
- [May 2023] Two papers about Recommender Systems for Organizations accepted to KDD 2023 and ACM TORS.
Research & Service
Selected Publications
See Google Scholar for my complete and up-to-date publication list.- [ 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 ]
- [ ACM Transactions on Recommender Systems ]
Kiran Tomlinson, Mengting Wan, Cao Lu, Brent Hecht, Jaime Teevan, Longqi Yang, "Targeted Training for Multi-organization Recommendation", Recommender Systems 1, no. 3 (2023): 1. [ 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.