Jaewon Yang

Orcid: 0009-0003-2966-3481

According to our database1, Jaewon Yang authored at least 49 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Maximizing the risk-adjusted return of classification model-based investments.
Appl. Soft Comput., 2026

Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest.
Proceedings of the ACM Web Conference 2026, 2026

Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest.
CoRR, December, 2025

PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems.
CoRR, April, 2025

InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform.
Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Unpaired Shadow Removal: Enhancing Attention to Shadow Areas via Dropkey.
Proceedings of the International Conference on Electronics, Information, and Communication, 2025

Autoregressive Generative Retrieval for Industrial-Scale Recommendations at Pinterest.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Random Key Generation from Entropy-Constrained SRAM PUFs Using Fourier Analysis.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently.
IEEE Trans. Knowl. Data Eng., April, 2024

Large Language Models for Social Networks: Applications, Challenges, and Solutions.
CoRR, 2024

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Bootstrapping Conditional Retrieval for User-to-Item Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Enhanced inhibitory control after out-of-phase theta tACS between the lDLPFC and dACC.
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

2023
Open-Air Testing of Dual-Comb Time-of-Flight Measurement.
Sensors, November, 2023

Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling.
CoRR, 2023

2022
Graph Neural Networks for the Global Economy with Microsoft DeepGraph.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

TaxoTrans: Taxonomy-Guided Entity Translation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Contextual Skill Proficiency via Multi-task Learning at LinkedIn.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Learning to Ask Screening Questions for Job Postings.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Job Understanding at LinkedIn.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Salience and Market-aware Skill Extraction for Job Targeting.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE Trans. Medical Imaging, 2019

Social Skill Validation at LinkedIn.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET.
CoRR, 2018

2017
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images.
CoRR, 2017

NEMO: Next Career Move Prediction with Contextual Embedding.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2015
Personalizing LinkedIn Feed.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Preventing Cyber-induced Irreversible Physical Damage to Cyber-Physical Systems.
Proceedings of the 10th Annual Cyber and Information Security Research Conference, 2015

2014
Structure and Overlaps of Ground-Truth Communities in Networks.
ACM Trans. Intell. Syst. Technol., 2014

Overlapping Communities Explain Core-Periphery Organization of Networks.
Proc. IEEE, 2014

Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks.
CoRR, 2014

Finding progression stages in time-evolving event sequences.
Proceedings of the 23rd International World Wide Web Conference, 2014

Detecting cohesive and 2-mode communities indirected and undirected networks.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

2013
Overlapping community detection at scale: a nonnegative matrix factorization approach.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Estimating sharer reputation via social data calibration.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Information cartography: creating zoomable, large-scale maps of information.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Community Detection in Networks with Node Attributes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Structure and Overlaps of Communities in Networks
CoRR, 2012

Community-Affiliation Graph Model for Overlapping Network Community Detection.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Defining and Evaluating Network Communities Based on Ground-Truth.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
Patterns of temporal variation in online media.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2010
Modeling Information Diffusion in Implicit Networks.
Proceedings of the ICDM 2010, 2010


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