Mengting Wan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Convolutional Neural Network

Question Answering

Product Recommendation

Top Venues

Publications

Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR (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 J. Hecht, Jaime Teevan
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. CoRR (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. KDD (2024)
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
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR (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 J. Hecht, Jaime Teevan
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models. ACL (1) (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. CoRR (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. ACL (Findings) (2024)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI (2023)
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
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR (2023)
Kiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu
Workplace Recommendation with Temporal Network Objectives. KDD (2023)
Kiran Tomlinson, Mengting Wan, Cao Lu, Brent J. Hecht, Jaime Teevan, Longqi Yang
Targeted Training for Multi-organization Recommendation. Trans. Recomm. Syst. 1 (3) (2023)
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR (2023)
Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
Large-Scale Analysis of New Employee Network Dynamics. CoRR (2023)
Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan
Large-Scale Analysis of New Employee Network Dynamics. WWW (2023)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9 (2) (2023)
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. CoRR (2023)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs. CoRR (2022)
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Learning Causal Effects on Hypergraphs. KDD (2022)
Tobias Schnabel, Mengting Wan, Longqi Yang
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates. CoRR (2022)
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM (2022)
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR (2022)
Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang
RecWork: Workshop on Recommender Systems for the Future of Work. RecSys (2022)
Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. CoRR (2020)
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
Addressing Marketing Bias in Product Recommendations. WSDM (2020)
Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. SDM (2020)
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CIKM (2019)
Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
Addressing Marketing Bias in Product Recommendations. CoRR (2019)
An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. CoRR (2019)
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. ACL (1) (2019)
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian J. McAuley
Fine-Grained Spoiler Detection from Large-Scale Review Corpora. CoRR (2019)
Mengting Wan, Julian J. McAuley
Item recommendation on monotonic behavior chains. RecSys (2018)
Mengting Wan, Xin Chen
Beyond "How may I help you?": Assisting Customer Service Agents with Proactive Responses. CoRR (2018)
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
Recommendation Through Mixtures of Heterogeneous Item Relationships. CoRR (2018)
Rishabh Misra, Mengting Wan, Julian J. McAuley
Decomposing fit semantics for product size recommendation in metric spaces. RecSys (2018)
Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM (2018)
Mengting Wan, Julian J. McAuley
One-Class Recommendation with Asymmetric Textual Feedback. SDM (2018)
Wang-Cheng Kang, Mengting Wan, Julian J. McAuley
Recommendation Through Mixtures of Heterogeneous Item Relationships. CIKM (2018)
Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. WWW (2017)
Mengting Wan, Julian J. McAuley
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. CoRR (2016)
Mengting Wan, Julian J. McAuley
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems. ICDM (2016)
Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD (2016)
Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network. SDM (2015)