default search action
Longqi Yang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2019
- [b1]Longqi Yang:
User-centric Recommendation Systems. Cornell University, USA, 2019
Journal Articles
- 2024
- [j11]Xin Luo
, Wei Chen
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation. Int. J. Comput. Vis. 132(1): 20-39 (2024) - 2023
- [j10]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Causal Effect Estimation under Interference on Hypergraphs. AI Matters 9(2): 15-19 (2023) - [j9]Kiran Tomlinson
Targeted Training for Multi-organization Recommendation. Trans. Recomm. Syst. 1(3): 1-18 (2023) - 2022
- [j8]Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri:
The future of information work. Commun. ACM 65(7): 27-29 (2022) - 2021
- [j7]Zhenyu Sun
A Strong Kuroshio Intrusion into the South China Sea and Its Accompanying Cold-Core Anticyclonic Eddy in Winter 2020-2021. Remote. Sens. 13(14): 2645 (2021) - 2018
- [j6]Longqi Yang
Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks. ACM Trans. Intell. Syst. Technol. 9(6): 68:1-68:18 (2018) - 2017
- [j5]Liangliang Zhang, Longqi Yang, Guyu Hu, Yanyan Zhang, Zhisong Pan:
Entropy-based link selection strategy for multidimensional complex networks. Intell. Data Anal. 21(5): 1233-1244 (2017) - [j4]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. 100-D(6): 1262-1270 (2017) - [j3]Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, John P. Pollak, Nicola Dell, Serge J. Belongie
Yum-Me: A Personalized Nutrient-Based Meal Recommender System. ACM Trans. Inf. Syst. 36(1): 7:1-7:31 (2017) - 2016
- [j2]Min S. Hane Aung
Leveraging Multi-Modal Sensing for Mobile Health: A Case Review in Chronic Pain. IEEE J. Sel. Top. Signal Process. 10(5): 962-974 (2016) - 2015
- [j1]Longqi Yang
Anomaly detection based on efficient Euclidean projection. Secur. Commun. Networks 8(17): 3229-3237 (2015)
Conference and Workshop Papers
- 2024
- [c44]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: 11100-11115 - [c43]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: 14996-15014 - [c42]Mengting Wan
TnT-LLM: Text Mining at Scale with Large Language Models. KDD 2024: 5836-5847 - 2023
- [c41]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: 1-8 - [c40]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: 1484-1488 - [c39]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs (Extended Abstract). IJCAI 2023: 6463-6467 - [c38]Haotian Wang
Treatment Effect Estimation with Adjustment Feature Selection. KDD 2023: 2290-2301 - [c37]Kiran Tomlinson
Workplace Recommendation with Temporal Network Objectives. KDD 2023: 4958-4969 - [c36]Yulin Yu
Large-Scale Analysis of New Employee Network Dynamics. WWW 2023: 2719-2730 - 2022
- [c35]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: 465-470 - [c34]Jing Ma
Learning Causal Effects on Hypergraphs. KDD 2022: 1202-1212 - [c33]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: 1857-1867 - [c32]Joseph A. Konstan
RecWork: Workshop on Recommender Systems for the Future of Work. RecSys 2022: 675-677 - [c31]Jing Ma
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM 2022: 695-703 - 2021
- [c30]Hancheng Cao, Chia-Jung Lee, Shamsi T. Iqbal, Mary Czerwinski, Priscilla N. Y. Wong, Sean Rintel
Large Scale Analysis of Multitasking Behavior During Remote Meetings. CHI 2021: 448:1-448:13 - [c29]Longqi Yang, Liangliang Zhang, Wenjing Yang:
Graph Adversarial Self-Supervised Learning. NeurIPS 2021: 14887-14899 - [c28]Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais:
Local Factor Models for Large-Scale Inductive Recommendation. RecSys 2021: 252-262 - [c27]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: 361-371 - [c26]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: 796-798 - [c25]Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren
Current Challenges and Future Directions in Podcast Information Access. SIGIR 2021: 1554-1565 - [c24]Longqi Yang, Liangliang Zhang, Yuhua Tang:
Scalable Auto-weighted Discrete Multi-view Clustering. WWW 2021: 3269-3278 - 2020
- [c23]Longqi Yang, Liangliang Zhang, Yuhua Tang:
Online Binary Incomplete Multi-view Clustering. ECML/PKDD (1) 2020: 75-90 - [c22]Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard:
PodRecs: Workshop on Podcast Recommendations. RecSys 2020: 621-622 - 2019
- [c21]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: 1055-1063 - [c20]Hongyi Wen, Longqi Yang, Deborah Estrin:
Leveraging post-click feedback for content recommendations. RecSys 2019: 278-286 - [c19]Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman
More Than Just Words: Modeling Non-Textual Characteristics of Podcasts. WSDM 2019: 276-284 - [c18]Longqi Yang, Michael Sobolev
How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content. WWW 2019: 2169-2180 - [c17]Mohit Chawla, Kriti Singh, Longqi Yang, Deborah Estrin:
RecBoard: A Web-based Platform for Recommendation System Research and Development. WWW 2019: 3493-3497 - 2018
- [c16]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: 98-105 - [c15]Wen Yao, Zhengyang Ma, Yazhong Luo, Xiaoqian Chen, Longqi Yang:
Satellite Lifetime Optimization Based on Discrete Cross Entropy Method. CEC 2018: 1-8 - [c14]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: 1-7 - [c13]Hongyi Wen, Longqi Yang, Michael Sobolev, Deborah Estrin:
Exploring recommendations under user-controlled data filtering. RecSys 2018: 72-76 - [c12]Longqi Yang, Michael Sobolev, Christina Tsangouri, Deborah Estrin:
Understanding user interactions with podcast recommendations delivered via voice. RecSys 2018: 190-194 - [c11]Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge J. Belongie
Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. RecSys 2018: 279-287 - [c10]Longqi Yang, Eugene Bagdasaryan, Hongyi Wen:
Modularizing deep neural network-inspired recommendation algorithms. RecSys 2018: 533-534 - [c9]Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin:
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. WSDM 2018: 664-672 - 2017
- [c8]Cheng-Kang Hsieh, Longqi Yang, Yin Cui, Tsung-Yi Lin, Serge J. Belongie
Collaborative Metric Learning. WWW 2017: 193-201 - [c7]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: 485-493 - 2016
- [c6]Honghao Wei, Cheng-Kang Hsieh, Longqi Yang, Deborah Estrin:
GroupLink: Group Event Recommendations Using Personal Digital Traces. CSCW Companion 2016: 110-113 - [c5]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: 41-44 - [c4]Cheng-Kang Hsieh, Longqi Yang, Honghao Wei, Mor Naaman
Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces. WWW 2016: 51-62 - 2015
- [c3]Longqi Yang, Yin Cui, Fan Zhang
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. CIKM 2015: 183-192 - [c2]Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin:
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. ICDM Workshops 2015: 1410-1416 - 2014
- [c1]Longqi Yang, Kevin Ting, Mani B. Srivastava
Inferring occupancy from opportunistically available sensor data. PerCom 2014: 60-68
Informal and Other Publications
- 2024
- [i25]Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah
TnT-LLM: Text Mining at Scale with Large Language Models. CoRR abs/2403.12173 (2024) - [i24]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 abs/2403.12388 (2024) - [i23]Siddharth Suri, Scott Counts, Leijie Wang, Chacha Chen, Mengting Wan, Tara Safavi, Jennifer Neville, Chirag Shah
The Use of Generative Search Engines for Knowledge Work and Complex Tasks. CoRR abs/2404.04268 (2024) - [i22]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 abs/2405.04656 (2024) - [i21]Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville:
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. CoRR abs/2408.15549 (2024) - 2023
- [i20]Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan:
Large-Scale Analysis of New Employee Network Dynamics. CoRR abs/2304.03441 (2023) - [i19]Sarkar Snigdha Sarathi Das, Chirag Shah
S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs. CoRR abs/2309.08827 (2023) - [i18]Chirag Shah
Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies. CoRR abs/2309.13063 (2023) - [i17]Marios Papachristou, Longqi Yang, Chin-Chia Hsu:
Leveraging Large Language Models for Collective Decision-Making. CoRR abs/2311.04928 (2023) - [i16]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 abs/2311.09180 (2023) - 2022
- [i15]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR abs/2201.03662 (2022) - [i14]Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville:
Lightweight Compositional Embeddings for Incremental Streaming Recommendation. CoRR abs/2202.02427 (2022) - [i13]Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan:
Learning Causal Effects on Hypergraphs. CoRR abs/2207.04049 (2022) - [i12]Tobias Schnabel, Mengting Wan, Longqi Yang:
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates. CoRR abs/2211.06365 (2022) - 2021
- [i11]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 abs/2101.11865 (2021) - [i10]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 abs/2103.02524 (2021) - [i9]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 abs/2106.09227 (2021) - [i8]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 abs/2108.03350 (2021) - 2020
- [i7]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 abs/2007.15584 (2020) - 2019
- [i6]Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin:
Creative Procedural-Knowledge Extraction From Web Design Tutorials. CoRR abs/1904.08587 (2019) - 2017
- [i5]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 abs/1701.01894 (2017) - 2016
- [i4]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 abs/1601.03278 (2016) - [i3]Longqi Yang, Cheng-Kang Hsieh, Hongjian Yang, Nicola Dell, Serge J. Belongie, Deborah Estrin:
Yum-me: Personalized Healthy Meal Recommender System. CoRR abs/1605.07722 (2016) - 2015
- [i2]Longqi Yang, Cheng-Kang Hsieh, Deborah Estrin:
Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis. CoRR abs/1512.06785 (2015) - 2014
- [i1]Longqi Yang, Yibing Wang, Zhisong Pan, Guyu Hu:
Multi-task Feature Selection based Anomaly Detection. CoRR abs/1403.4017 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: