Longqi Yang

According to our database, Longqi Yang authored at least 49 papers between 2015 and 2025.

Collaborative distances:

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

2025

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

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

ACM Trans. Web, August, 2025

Teaching Language Models To Gather Information Proactively.

Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou

CoRR, July, 2025

Group Preference Alignment: Customized LLM Response Generation from In-Situ Conversations.

Ishani Mondal, Jack W. Stokes, Sujay Kumar Jauhar, Longqi Yang, Mengting Wan, Xiaofeng Xu, Xia Song, Jennifer Neville

CoRR, March, 2025

Leveraging Large Language Models for Collective Decision-Making.

Marios Papachristou, Longqi Yang, Chin-Chia Hsu

Proc. ACM Hum. Comput. Interact., 2025

GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation.

Jie He, Jennifer Neville, Mengting Wan, Longqi Yang, Hui Liu, Xiaofeng Xu, Xia Song, Jeff Z. Pan, Pei Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Lightweight Compositional Embeddings for Incremental Streaming Recommendation.

Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville

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

2021

Local Factor Models for Large-Scale Inductive Recommendation.

Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Learning to Represent Human Motives for Goal-directed Web Browsing.

Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Large Scale Analysis of Multitasking Behavior During Remote Meetings.

Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19.

Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent J. Hecht, Jaime Teevan

CoRR, 2020

2019

User-centric Recommendation Systems.

Longqi Yang

PhD thesis, 2019

Creative Procedural-Knowledge Extraction From Web Design Tutorials.

Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin

CoRR, 2019

How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content.

Longqi Yang, Michael Sobolev, Yu Wang, Jenny Chen, Drew Dunne, Christina Tsangouri, Nicola Dell, Mor Naaman, Deborah Estrin

Proceedings of the World Wide Web Conference, 2019

RecBoard: A Web-based Platform for Recommendation System Research and Development.

Mohit Chawla, Kriti Singh, Longqi Yang, Deborah Estrin

Proceedings of the World Wide Web Conference, 2019

More Than Just Words: Modeling Non-Textual Characteristics of Podcasts.

Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, Deborah Estrin

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Leveraging post-click feedback for content recommendations.

Hongyi Wen, Longqi Yang, Deborah Estrin

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks.

Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin

ACM Trans. Intell. Syst. Technol., 2018

OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms.

Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Understanding user interactions with podcast recommendations delivered via voice.

Longqi Yang, Michael Sobolev, Christina Tsangouri, Deborah Estrin

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

Unbiased offline recommender evaluation for missing-not-at-random implicit feedback.

Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin

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

Modularizing deep neural network-inspired recommendation algorithms.

Longqi Yang, Eugene Bagdasaryan, Hongyi Wen

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

Exploring recommendations under user-controlled data filtering.

Hongyi Wen, Longqi Yang, Michael Sobolev, Deborah Estrin

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

2017

Yum-Me: A Personalized Nutrient-Based Meal Recommender System.

Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge J. Belongie, Curtis L. Cole, Deborah Estrin

ACM Trans. Inf. Syst., 2017

Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces.

Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin

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

Collaborative Metric Learning.

Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin

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

2016

Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain.

Min S. Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, John P. Pollak, Deborah Estrin, Tanzeem Choudhury

IEEE J. Sel. Top. Signal Process., 2016

Yum-me: Personalized Healthy Meal Recommender System.

Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge J. Belongie, Deborah Estrin

CoRR, 2016

Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces.

Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman, Deborah Estrin

Proceedings of the 25th International Conference on World Wide Web, 2016

Your activities of daily living (YADL): an image-based survey technique for patients with arthritis.

Longqi Yang, Diana Freed, Alex Wu, Judy Wu, John P. Pollak, Deborah Estrin

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

GroupLink: Group Event Recommendations Using Personal Digital Traces.

Honghao Wei, Cheng-Kang Hsieh, Longqi Yang, Deborah Estrin

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015

Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis.

Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface.

Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge J. Belongie, Deborah Estrin

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015