Longqi Yang

According to our database, Longqi Yang authored at least 70 papers between 2014 and 2024.

Collaborative distances:

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

2024

Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation.

Xin Luo, Wei Chen, Zhengfa Liang, Longqi Yang, Siwei Wang, Chen Li

Int. J. Comput. Vis., January, 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

Leveraging Large Language Models for Collective Decision-Making.

Marios Papachristou, Longqi Yang, Chin-Chia Hsu

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

Treatment Effect Estimation with Adjustment Feature Selection.

Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang

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

Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention.

Jiahao Zheng, Longqi Yang, Yiying Li, Ke Yang, Zhiyuan Wang, Jun Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing.

Harish Haresamudram, Jina Suh, Javier Hernandez, Jenna L. Butler, Ahad Chaudhry, Longqi Yang, Koustuv Saha, Mary Czerwinski

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 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

The future of information work.

Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri

Commun. ACM, 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

Estimating Individualized Causal Effect with Confounded Instruments.

Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang

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

FAFMOTS: A Fast and Anchor Free Method for Online Joint Multi-Object Tracking and Segmentation.

Shuman Li, Weijiang Feng, Longqi Yang, Wenjing Yang, Shaowu Yang, Long Lan

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

2021

A Strong Kuroshio Intrusion into the South China Sea and Its Accompanying Cold-Core Anticyclonic Eddy in Winter 2020-2021.

Zhenyu Sun, Jianyu Hu, Zhaozhang Chen, Jia Zhu, Longqi Yang, Xirong Chen, Xuewen Wu

Remote. Sens., 2021

Personal Productivity and Well-being - Chapter 2 of the 2021 New Future of Work Report.

Jenna L. Butler, Mary Czerwinski, Shamsi T. Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang

CoRR, 2021

Scalable Auto-weighted Discrete Multi-view Clustering.

Longqi Yang, Liangliang Zhang, Yuhua Tang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Current Challenges and Future Directions in Podcast Information Access.

Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

PodRecs 2021: 2nd Workshop on Podcast Recommendations.

Ching-Wei Chen, Rosie Jones, Zahra Nazari, Longqi Yang, Maria Eskevich, Gareth James Francis Jones, Sergio Oramas

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

Graph Adversarial Self-Supervised Learning.

Longqi Yang, Liangliang Zhang, Wenjing Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 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

PodRecs: Workshop on Podcast Recommendations.

Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Online Binary Incomplete Multi-view Clustering.

Longqi Yang, Liangliang Zhang, Yuhua Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.

Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.

Xiaohu Zheng, Xianqi Chen, Wen Yao, Xiaoqian Chen, Longqi Yang, Yazhong Luo

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Satellite Lifetime Optimization Based on Discrete Cross Entropy Method.

Wen Yao, Zhengyang Ma, Yazhong Luo, Xiaoqian Chen, Longqi Yang

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Community Detection Based on Co-regularized Nonnegative Matrix Tri-Factorization in Multi-view Social Networks.

Longqi Yang, Liangliang Zhang, Zhisong Pan, Guyu Hu, Yanyan Zhang

Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 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 Cole, Deborah Estrin

ACM Trans. Inf. Syst., 2017

Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization.

Liangliang Zhang, Longqi Yang, Yong Gong, Zhisong Pan, Yanyan Zhang, Guyu Hu

IEICE Trans. Inf. Syst., 2017

Entropy-based link selection strategy for multidimensional complex networks.

Liangliang Zhang, Longqi Yang, Guyu Hu, Yanyan Zhang, Zhisong Pan

Intell. Data Anal., 2017

Modeling Actuation Constraints for IoT Applications.

Bharathan Balaji, Bradford Campbell, Amit Levy, Xiaozhou Li, Addison Mayberry, Nirupam Roy, Vasuki Narasimha Swamy, Longqi Yang, Victor Bahl, Ranveer Chandra, Ratul Mahajan

CoRR, 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

Anomaly detection based on efficient Euclidean projection.

Longqi Yang, Guyu Hu, Dong Li, Yibing Wang, Bo Jia, Zhisong Pan

Secur. Commun. Networks, 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

2014

Multi-task Feature Selection based Anomaly Detection.

Longqi Yang, Yibing Wang, Zhisong Pan, Guyu Hu

CoRR, 2014

Inferring occupancy from opportunistically available sensor data.

Longqi Yang, Kevin Ting, Mani B. Srivastava

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014