Longqi Yang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 73

Top Topics

Nonnegative Matrix

Current Challenges

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)
Xin Luo, Wei Chen, Zhengfa Liang, Longqi Yang, Siwei Wang, Chen Li
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation. Int. J. Comput. Vis. 132 (1) (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)
Harish Haresamudram, Jina Suh, Javier Hernandez, Jenna L. Butler, Ahad Chaudhry, Longqi Yang, Koustuv Saha, Mary Czerwinski
Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing. ACIIW (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)
Jiahao Zheng, Longqi Yang, Yiying Li, Ke Yang, Zhiyuan Wang, Jun Zhou
Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention. ICCV (Workshops) (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)
Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang
Treatment Effect Estimation with Adjustment Feature Selection. KDD (2023)
Marios Papachristou, Longqi Yang, Chin-Chia Hsu
Leveraging Large Language Models for Collective Decision-Making. 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)
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville
Lightweight Compositional Embeddings for Incremental Streaming Recommendation. CoRR (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)
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri
The future of information work. Commun. ACM 65 (7) (2022)
Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR (2022)
Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang
Estimating Individualized Causal Effect with Confounded Instruments. KDD (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)
Shuman Li, Weijiang Feng, Longqi Yang, Wenjing Yang, Shaowu Yang, Long Lan
FAFMOTS: A Fast and Anchor Free Method for Online Joint Multi-Object Tracking and Segmentation. ISMAR Adjunct (2022)
Longqi Yang, Liangliang Zhang, Wenjing Yang
Graph Adversarial Self-Supervised Learning. NeurIPS (2021)
Jenna L. Butler, Mary Czerwinski, Shamsi T. Iqbal, Sonia Jaffe, Kate Nowak, Emily Peloquin, Longqi Yang
Personal Productivity and Well-being - Chapter 2 of the 2021 New Future of Work Report. CoRR (2021)
Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang
Large Scale Analysis of Multitasking Behavior During Remote Meetings. CHI (2021)
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan
Learning to Represent Human Motives for Goal-directed Web Browsing. RecSys (2021)
Ching-Wei Chen, Rosie Jones, Zahra Nazari, Longqi Yang, Maria Eskevich, Gareth James Francis Jones, Sergio Oramas
PodRecs 2021: 2nd Workshop on Podcast Recommendations. RecSys (2021)
Longqi Yang, Liangliang Zhang, Yuhua Tang
Scalable Auto-weighted Discrete Multi-view Clustering. WWW (2021)
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan
Learning to Represent Human Motives for Goal-directed Web Browsing. CoRR (2021)
Zhenyu Sun, Jianyu Hu, Zhaozhang Chen, Jia Zhu, Longqi Yang, Xirong Chen, Xuewen Wu
A Strong Kuroshio Intrusion into the South China Sea and Its Accompanying Cold-Core Anticyclonic Eddy in Winter 2020-2021. Remote. Sens. 13 (14) (2021)
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
Current Challenges and Future Directions in Podcast Information Access. CoRR (2021)
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
Current Challenges and Future Directions in Podcast Information Access. SIGIR (2021)
Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel, Brent J. Hecht, Jaime Teevan, Longqi Yang
Large Scale Analysis of Multitasking Behavior During Remote Meetings. CoRR (2021)
Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais
Local Factor Models for Large-Scale Inductive Recommendation. RecSys (2021)
Longqi Yang, Liangliang Zhang, Yuhua Tang
Online Binary Incomplete Multi-view Clustering. ECML/PKDD (1) (2020)
Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard
PodRecs: Workshop on Podcast Recommendations. RecSys (2020)
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
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19. CoRR (2020)
Longqi Yang, Michael Sobolev, Yu Wang, Jenny Chen, Drew Dunne, Christina Tsangouri, Nicola Dell, Mor Naaman, Deborah Estrin
How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content. WWW (2019)
Hongyi Wen, Longqi Yang, Deborah Estrin
Leveraging post-click feedback for content recommendations. RecSys (2019)
Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, Deborah Estrin
More Than Just Words: Modeling Non-Textual Characteristics of Podcasts. WSDM (2019)
Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. KDD (2019)
Mohit Chawla, Kriti Singh, Longqi Yang, Deborah Estrin
RecBoard: A Web-based Platform for Recommendation System Research and Development. WWW (2019)
Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin
Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR (2019)
Longqi Yang, Michael Sobolev, Christina Tsangouri, Deborah Estrin
Understanding user interactions with podcast recommendations delivered via voice. RecSys (2018)
Xiaohu Zheng, Xianqi Chen, Wen Yao, Xiaoqian Chen, Longqi Yang, Yazhong Luo
Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network. CEC (2018)
Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin
Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks. ACM Trans. Intell. Syst. Technol. 9 (6) (2018)
Longqi Yang, Eugene Bagdasaryan, Hongyi Wen
Modularizing deep neural network-inspired recommendation algorithms. RecSys (2018)
Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie, Deborah Estrin
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. RecSys (2018)
Hongyi Wen, Longqi Yang, Michael Sobolev, Deborah Estrin
Exploring recommendations under user-controlled data filtering. RecSys (2018)
Wen Yao, Zhengyang Ma, Yazhong Luo, Xiaoqian Chen, Longqi Yang
Satellite Lifetime Optimization Based on Discrete Cross Entropy Method. CEC (2018)
Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. WSDM (2018)
Longqi Yang, Liangliang Zhang, Zhisong Pan, Guyu Hu, Yanyan Zhang
Community Detection Based on Co-regularized Nonnegative Matrix Tri-Factorization in Multi-view Social Networks. BigComp (2018)
Bharathan Balaji, Bradford Campbell, Amit Levy, Xiaozhou Li, Addison Mayberry, Nirupam Roy, Vasuki Narasimha Swamy, Longqi Yang, Victor Bahl, Ranveer Chandra, Ratul Mahajan
Modeling Actuation Constraints for IoT Applications. CoRR (2017)
Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, Deborah Estrin
Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces. WWW (Companion Volume) (2017)
Liangliang Zhang, Longqi Yang, Guyu Hu, Yanyan Zhang, Zhisong Pan
Entropy-based link selection strategy for multidimensional complex networks. Intell. Data Anal. 21 (5) (2017)
Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie, Deborah Estrin
Collaborative Metric Learning. WWW (2017)
Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge J. Belongie, Curtis Cole, Deborah Estrin
Yum-Me: A Personalized Nutrient-Based Meal Recommender System. ACM Trans. Inf. Syst. 36 (1) (2017)
Liangliang Zhang, Longqi Yang, Yong Gong, Zhisong Pan, Yanyan Zhang, Guyu Hu
Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization. IEICE Trans. Inf. Syst. (6) (2017)
Longqi Yang, Diana Freed, Alex Wu, Judy Wu, John P. Pollak, Deborah Estrin
Your activities of daily living (YADL): an image-based survey technique for patients with arthritis. PervasiveHealth (2016)
Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman, Deborah Estrin
Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces. WWW (2016)
Longqi Yang, Diana Freed, Alex Wu, Judy Wu, John P. Pollak, Deborah Estrin
Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis. CoRR (2016)
Min S. Hane Aung, Faisal Alquaddoomi, Cheng-Kang Hsieh, Mashfiqui Rabbi, Longqi Yang, John P. Pollak, Deborah Estrin, Tanzeem Choudhury
Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE J. Sel. Top. Signal Process. 10 (5) (2016)
Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge J. Belongie, Deborah Estrin
Yum-me: Personalized Healthy Meal Recommender System. CoRR (2016)
Honghao Wei, Cheng-Kang Hsieh, Longqi Yang, Deborah Estrin
GroupLink: Group Event Recommendations Using Personal Digital Traces. CSCW Companion (2016)
Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. CoRR (2015)
Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. ICDM Workshops (2015)
Longqi Yang, Guyu Hu, Dong Li, Yibing Wang, Bo Jia, Zhisong Pan
Anomaly detection based on efficient Euclidean projection. Secur. Commun. Networks 8 (17) (2015)
Longqi Yang, Yin Cui, Fan Zhang, John P. Pollak, Serge J. Belongie, Deborah Estrin
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. CIKM (2015)
Longqi Yang, Yibing Wang, Zhisong Pan, Guyu Hu
Multi-task Feature Selection based Anomaly Detection. CoRR (2014)
Longqi Yang, Kevin Ting, Mani B. Srivastava
Inferring occupancy from opportunistically available sensor data. PerCom (2014)