Mengting Wan

According to our database, Mengting Wan authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface.

Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang

CoRR, 2024

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback.

Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville

CoRR, 2024

Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media.

Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan

CoRR, 2024

The Use of Generative Search Engines for Knowledge Work and Complex Tasks.

Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Sathish Manivannan, Nagu Rangan, Longqi Yang

CoRR, 2024

TnT-LLM: Text Mining at Scale with Large Language Models.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models.

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 J. Hecht, Jaime Teevan

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.

Sarkar Snigdha Sarathi Das, Chirag Shah, Mengting Wan, Jennifer Neville, Longqi Yang, Reid Andersen, Georg Buscher, Tara Safavi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Targeted Training for Multi-organization Recommendation.

Kiran Tomlinson, Mengting Wan, Cao Lu, Brent J. Hecht, Jaime Teevan, Longqi Yang

Trans. Recomm. Syst., September, 2023

Causal Effect Estimation under Interference on Hypergraphs.

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

AI Matters, June, 2023

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.

Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi

CoRR, 2023

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies.

Chirag Shah, Ryen W. White, Reid Andersen, Georg Buscher, Scott Counts, Sarkar Snigdha Sarathi Das, Ali Montazer, Sathish Manivannan, Jennifer Neville, Xiaochuan Ni, Nagu Rangan, Tara Safavi, Siddharth Suri, Mengting Wan, Leijie Wang, Longqi Yang

CoRR, 2023

Large-Scale Analysis of New Employee Network Dynamics.

Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan

Proceedings of the ACM Web Conference 2023, 2023

Workplace Recommendation with Temporal Network Objectives.

Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Causal Effects on Hypergraphs (Extended Abstract).

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates.

Tobias Schnabel, Mengting Wan, Longqi Yang

CoRR, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

RecWork: Workshop on Recommender Systems for the Future of Work.

Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning Causal Effects on Hypergraphs.

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Addressing Marketing Bias in Product Recommendations.

Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network.

Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2019

Modeling the Dynamics of Consumer Behavior from Massive Interaction Data.

Mengting Wan

PhD thesis, 2019

CosRec: 2D Convolutional Neural Networks for Sequential Recommendation.

An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fine-Grained Spoiler Detection from Large-Scale Review Corpora.

Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses.

Mengting Wan, Xin Chen

CoRR, 2018

One-Class Recommendation with Asymmetric Textual Feedback.

Mengting Wan, Julian J. McAuley

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Item recommendation on monotonic behavior chains.

Mengting Wan, Julian J. McAuley

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Decomposing fit semantics for product size recommendation in metric spaces.

Rishabh Misra, Mengting Wan, Julian J. McAuley

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty.

Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Recommendation Through Mixtures of Heterogeneous Item Relationships.

Wang-Cheng Kang, Mengting Wan, Julian J. McAuley

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs.

Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.

Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems.

Mengting Wan, Julian J. McAuley

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network.

Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015