Liang Wu

Orcid: 0000-0002-2336-7695

Affiliations:
  • Arizona State University, Tempe, AZ, USA


According to our database1, Liang Wu authored at least 28 papers between 2016 and 2023.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2023
Collaborative Large Language Model for Recommender Systems.
CoRR, 2023

Path-Specific Counterfactual Fairness for Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Remote Work Optimization with Robust Multi-channel Graph Neural Networks.
CoRR, 2022

2021
Toward User Engagement Optimization in 2D Presentation.
Proceedings of the WSDM '21, 2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Misinformation in Social Media: Definition, Manipulation, and Detection.
SIGKDD Explor., 2019

Debunking Rumors in Social Networks: A Timely Approach.
Proceedings of the 11th ACM Conference on Web Science, 2019

Multi-level network embedding with boosted low-rank matrix approximation.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Detecting Crowdturfing in Social Media.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Identifying Framing Bias in Online News.
ACM Trans. Soc. Comput., 2018

SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification.
Lang. Resour. Evaluation, 2018

Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation.
CoRR, 2018

Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Streaming Link Prediction on Dynamic Attributed Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Toward Relational Learning with Misinformation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Unsupervised Personalized Feature Selection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Toward Personalized Relational Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Detecting Camouflaged Content Polluters.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Identification of Personalized Trending Topics in Microblogging.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification.
CoRR, 2016

Relational Learning with Social Status Analysis.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Robust Unsupervised Feature Selection on Networked Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A new approach to bot detection: Striking the balance between precision and recall.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016


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