Ruocheng Guo

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


According to our database1, Ruocheng Guo authored at least 49 papers between 2015 and 2022.

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

Timeline

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Bibliography

2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
CoRR, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.
CoRR, 2022

A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning.
CoRR, 2022

Evaluation Methods and Measures for Causal Learning Algorithms.
CoRR, 2022

Graph Few-shot Class-incremental Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Causal Mediation Analysis with Hidden Confounders.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.
Trans. Data Sci., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.
SIGKDD Explor., 2021

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix.
CoRR, 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.
Proceedings of the WSDM '21, 2021

Long-Term Effect Estimation with Surrogate Representation.
Proceedings of the WSDM '21, 2021

Causal Understanding of Fake News Dissemination on Social Media.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Cause Effect Estimation with Disentangled Confounder Representation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks.
ACM Trans. Soc. Comput., 2020

Causal Interpretability for Machine Learning - Problems, Methods and Evaluation.
SIGKDD Explor., 2020

A Survey of Learning Causality with Data: Problems and Methods.
ACM Comput. Surv., 2020

Towards Causal Understanding of Fake News Dissemination.
CoRR, 2020

Learning Individual Causal Effects from Networked Observational Data.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Representation Learning for Imbalanced Cross-Domain Classification.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Debiasing Grid-based Product Search in E-commerce.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Using network motifs to characterize temporal network evolution leading to diffusion inhibition.
Soc. Netw. Anal. Min., 2019

I Am Not What I Write: Privacy Preserving Text Representation Learning.
CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.
CoRR, 2019

Robust Cyberbullying Detection with Causal Interpretation.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy Preserving Text Representation Learning.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Causal Learning in Question Quality Improvement.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

A Practical Data Repository for Causal Learning with Big Data.
Proceedings of the Benchmarking, Measuring, and Optimizing, 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
Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Detecting Pathogenic Social Media Accounts without Content or Network Structure.
Proceedings of the 1st International Conference on Data Intelligence and Security, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Understanding and forecasting lifecycle events in information cascades.
Soc. Netw. Anal. Min., 2017

Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

2016
Toward early and order-of-magnitude cascade prediction in social networks.
Soc. Netw. Anal. Min., 2016

An empirical evaluation of social influence metrics.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A comparison of methods for cascade prediction.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Diffusion in Social Networks
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-23105-1, 2015

Toward Order-of-Magnitude Cascade Prediction.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015


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