2022

doi dblp
Graph Few-shot Class-incremental Learning
Zhen Tan | Kaize Ding | Ruocheng Guo | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Learning Fair Node Representations with Graph Counterfactual Fairness
Jing Ma | Ruocheng Guo | Mengting Wan | Longqi Yang | Aidong Zhang | Jundong Li
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Causal Mediation Analysis with Hidden Confounders
Lu Cheng | Ruocheng Guo | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

doi dblp
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
Lu Cheng | Ruocheng Guo | Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

doi dblp
Long-Term Effect Estimation with Surrogate Representation
Lu Cheng | Ruocheng Guo | Huan Liu
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
Deconfounding with Networked Observational Data in a Dynamic Environment
Jing Ma | Ruocheng Guo | Chen Chen | Aidong Zhang | Jundong Li
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

doi dblp
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods
Paras Sheth | Ujun Jeong | Ruocheng Guo | Huan Liu | K. Selçuk Candan
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

doi dblp
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo | Jundong Li | Huan Liu
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

doi dblp
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
Ghazaleh Beigi | Ahmadreza Mosallanezhad | Ruocheng Guo | Hamidreza Alvari | Alexander Nou | Huan Liu
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

2019

doi dblp
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
Ghazaleh Beigi | Ruocheng Guo | Alexander Nou | Yanchao Zhang | Huan Liu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

doi dblp
Robust Cyberbullying Detection with Causal Interpretation
Lu Cheng | Ruocheng Guo | Huan Liu
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

doi dblp
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Vineeth Rakesh | Ruocheng Guo | Raha Moraffah | Nitin Agarwal | Huan Liu
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

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