Liang Wu

According to our database, Liang Wu authored at least 31 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LinkSAGE: Optimizing Job Matching Using Graph Neural Networks.

Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables.

Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Collaborative Large Language Model for Recommender Systems.

Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

Proceedings of the ACM on Web Conference 2024, 2024

Understanding and Modeling Job Marketplace with Pretrained Language Models.

Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Path-Specific Counterfactual Fairness for Recommender Systems.

Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

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.

Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong

CoRR, 2022

2021

Toward User Engagement Optimization in 2D Presentation.

Liang Wu, Mihajlo Grbovic, Jundong Li

Proceedings of the WSDM '21, 2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.

Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li

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.

Liang Wu, Mihajlo Grbovic

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.

Liang Wu, Fred Morstatter, Kathleen M. Carley, Huan Liu

SIGKDD Explor., 2019

Debunking Rumors in Social Networks: A Timely Approach.

Liang Wu, Huan Liu

Proceedings of the 11th ACM Conference on Web Science, 2019

Multi-level network embedding with boosted low-rank matrix approximation.

Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Detecting Crowdturfing in Social Media.

Liang Wu, Huan Liu

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Identifying Framing Bias in Online News.

Fred Morstatter, Liang Wu, Uraz Yavanoglu, Steven R. Corman, Huan Liu

ACM Trans. Soc. Comput., 2018

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

Liang Wu, Fred Morstatter, Huan Liu

Lang. Resour. Evaluation, 2018

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

Jundong Li, Liang Wu, Huan Liu

CoRR, 2018

Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate.

Liang Wu, Huan Liu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Streaming Link Prediction on Dynamic Attributed Networks.

Jundong Li, Kewei Cheng, Liang Wu, Huan Liu

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.

Liang Wu, Diane Hu, Liangjie Hong, Huan Liu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Toward Relational Learning with Misinformation.

Liang Wu, Jundong Li, Fred Morstatter, Huan Liu

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Unsupervised Personalized Feature Selection.

Jundong Li, Liang Wu, Harsh Dani, Huan Liu

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.

Liang Wu, Jundong Li, Xia Hu, Huan Liu

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Toward Personalized Relational Learning.

Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Detecting Camouflaged Content Polluters.

Liang Wu, Xia Hu, Fred Morstatter, Huan Liu

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.

Liang Wu, Xia Hu, Fred Morstatter, Huan Liu

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Early Identification of Personalized Trending Topics in Microblogging.

Liang Wu, Xia Hu, Huan Liu

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.

Liang Wu, Fred Morstatter, Huan Liu

CoRR, 2016

Relational Learning with Social Status Analysis.

Liang Wu, Xia Hu, Huan Liu

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Robust Unsupervised Feature Selection on Networked Data.

Jundong Li, Xia Hu, Liang Wu, Huan Liu

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection.

Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu

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.

Fred Morstatter, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, Huan Liu

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016