Liang Wu - RankMe

36 papers A* 6A 14B 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. ICLR Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2025	J	`jnl`	LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. ACM Trans. Intell. Syst. Technol. Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
2025	—	`conf`	LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. KDD (1) 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
2024	A*	`conf`	Collaborative Large Language Model for Recommender Systems. WWW Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2024	J	`jnl`	LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. CoRR Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Kay Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang
2024	A	`conf`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CIKM Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024	J	`jnl`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2023	J	`jnl`	Collaborative Large Language Model for Recommender Systems. CoRR Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023	A*	`conf`	Path-Specific Counterfactual Fairness for Recommender Systems. KDD Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2023	J	`jnl`	Path-Specific Counterfactual Fairness for Recommender Systems. CoRR Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li
2022	J	`jnl`	Remote Work Optimization with Robust Multi-channel Graph Neural Networks. CoRR Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong
2021	A	`conf`	REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
2021	A	`conf`	Toward User Engagement Optimization in 2D Presentation. WSDM Liang Wu, Mihajlo Grbovic, Jundong Li
2020	A*	`conf`	How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace. SIGIR Liang Wu, Mihajlo Grbovic
2019	—	`conf`	Debunking Rumors in Social Networks: A Timely Approach. WebSci Liang Wu, Huan Liu
2019	J	`jnl`	Misinformation in Social Media: Definition, Manipulation, and Detection. SIGKDD Explor. Liang Wu, Fred Morstatter, Kathleen M. Carley, Huan Liu
2019	B	`conf`	Multi-level network embedding with boosted low-rank matrix approximation. ASONAM Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu
2018	—	`ch.`	Detecting Crowdturfing in Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Liang Wu, Huan Liu
2018	J	`jnl`	Identifying Framing Bias in Online News. ACM Trans. Soc. Comput. Fred Morstatter, Liang Wu, Uraz Yavanoglu, Steven R. Corman, Huan Liu
2018	J	`jnl`	Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. CoRR Jundong Li, Liang Wu, Huan Liu
2018	J	`jnl`	SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification. Lang. Resour. Evaluation Liang Wu, Fred Morstatter, Huan Liu
2018	A	`conf`	Streaming Link Prediction on Dynamic Attributed Networks. WSDM Jundong Li, Kewei Cheng, Liang Wu, Huan Liu
2018	A	`conf`	Toward Relational Learning with Misinformation. SDM Liang Wu, Jundong Li, Fred Morstatter, Huan Liu
2018	A	`conf`	Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate. WSDM Liang Wu, Huan Liu
2018	A*	`conf`	Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce. SIGIR Liang Wu, Diane Hu, Liangjie Hong, Huan Liu
2018	A*	`conf`	Unsupervised Personalized Feature Selection. AAAI Jundong Li, Liang Wu, Harsh Dani, Huan Liu
2017	A	`conf`	Adaptive Spammer Detection with Sparse Group Modeling. ICWSM Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017	A	`conf`	Detecting Camouflaged Content Polluters. ICWSM Liang Wu, Xia Hu, Fred Morstatter, Huan Liu
2017	A	`conf`	Early Identification of Personalized Trending Topics in Microblogging. ICWSM Liang Wu, Xia Hu, Huan Liu
2017	A	`conf`	Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. SDM Liang Wu, Jundong Li, Xia Hu, Huan Liu
2017	A	`conf`	Toward Personalized Relational Learning. SDM Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu
2016	B	`conf`	A new approach to bot detection: Striking the balance between precision and recall. ASONAM Fred Morstatter, Liang Wu, Tahora H. Nazer, Kathleen M. Carley, Huan Liu
2016	A	`conf`	Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. CIKM Justin Sampson, Fred Morstatter, Liang Wu, Huan Liu
2016	A	`conf`	Relational Learning with Social Status Analysis. WSDM Liang Wu, Xia Hu, Huan Liu
2016	A	`conf`	Robust Unsupervised Feature Selection on Networked Data. SDM Jundong Li, Xia Hu, Liang Wu, Huan Liu
2016	J	`jnl`	SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification. CoRR Liang Wu, Fred Morstatter, Huan Liu