Longqi Yang

Orcid: 0000-0002-2565-9181

According to our database1, Longqi Yang authored at least 65 papers between 2014 and 2024.

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Bibliography

2024
Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation.
Int. J. Comput. Vis., January, 2024

2023
Targeted Training for Multi-organization Recommendation.
Trans. Recomm. Syst., September, 2023

Causal Effect Estimation under Interference on Hypergraphs.
AI Matters, June, 2023

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.
CoRR, 2023

Leveraging Large Language Models for Collective Decision-Making.
CoRR, 2023

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies.
CoRR, 2023

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs.
CoRR, 2023

Large-Scale Analysis of New Employee Network Dynamics.
Proceedings of the ACM Web Conference 2023, 2023

Workplace Recommendation with Temporal Network Objectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Treatment Effect Estimation with Adjustment Feature Selection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Causal Effects on Hypergraphs (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing.
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.
CoRR, 2022

Lightweight Compositional Embeddings for Incremental Streaming Recommendation.
CoRR, 2022

The future of information work.
Commun. ACM, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.
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.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning Causal Effects on Hypergraphs.
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.
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.
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.
Remote. Sens., 2021

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

Scalable Auto-weighted Discrete Multi-view Clustering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Current Challenges and Future Directions in Podcast Information Access.
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.
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.
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.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Graph Adversarial Self-Supervised Learning.
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.
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.
CoRR, 2020

PodRecs: Workshop on Podcast Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Online Binary Incomplete Multi-view Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
User-centric Recommendation Systems.
PhD thesis, 2019

Creative Procedural-Knowledge Extraction From Web Design Tutorials.
CoRR, 2019

How Intention Informed Recommendations Modulate Choices: A Field Study of Spoken Word Content.
Proceedings of the World Wide Web Conference, 2019

RecBoard: A Web-based Platform for Recommendation System Research and Development.
Proceedings of the World Wide Web Conference, 2019

More Than Just Words: Modeling Non-Textual Characteristics of Podcasts.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Leveraging post-click feedback for content recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
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.
ACM Trans. Intell. Syst. Technol., 2018

OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Understanding user interactions with podcast recommendations delivered via voice.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Unbiased offline recommender evaluation for missing-not-at-random implicit feedback.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Modularizing deep neural network-inspired recommendation algorithms.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Exploring recommendations under user-controlled data filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Satellite Lifetime Optimization Based on Discrete Cross Entropy Method.
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.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
Yum-Me: A Personalized Nutrient-Based Meal Recommender System.
ACM Trans. Inf. Syst., 2017

Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization.
IEICE Trans. Inf. Syst., 2017

Entropy-based link selection strategy for multidimensional complex networks.
Intell. Data Anal., 2017

Modeling Actuation Constraints for IoT Applications.
CoRR, 2017

Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Collaborative Metric Learning.
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.
IEEE J. Sel. Top. Signal Process., 2016

Yum-me: Personalized Healthy Meal Recommender System.
CoRR, 2016

Immersive Recommendation: News and Event Recommendations Using Personal Digital Traces.
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.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

GroupLink: Group Event Recommendations Using Personal Digital Traces.
Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015
Anomaly detection based on efficient Euclidean projection.
Secur. Commun. Networks, 2015

Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Multi-task Feature Selection based Anomaly Detection.
CoRR, 2014

Inferring occupancy from opportunistically available sensor data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014


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