Ruocheng Guo

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.

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[DOI]

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 Disentanglement with Network Information for Debiased Recommendations.

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[DOI]

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

Supervised Graph Contrastive Learning for Few-Shot Node Classification.

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[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

CLEAR: Generative Counterfactual Explanations on Graphs.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.

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[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.

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[DOI]

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.

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[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Distributional Shift Adaptation using Domain-Specific Features.

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Proceedings of the IEEE International Conference on Big Data, 2022

Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.

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Proceedings of the IEEE International Conference on Big Data, 2022

2021

Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.

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[DOI]

Trans. Data Sci., 2021

Adversarial Attacks and Defenses: An Interpretation Perspective.

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[DOI]

SIGKDD Explor., 2021

A Survey of Learning Causality with Data: Problems and Methods.

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[DOI]

ACM Comput. Surv., 2021

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

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CoRR, 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.

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[DOI]

Proceedings of the WSDM '21, 2021

Long-Term Effect Estimation with Surrogate Representation.

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[DOI]

Proceedings of the WSDM '21, 2021

Causal Understanding of Fake News Dissemination on Social Media.

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[DOI]

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.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.

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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.

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[DOI]

Ericsson Marin

ACM Trans. Soc. Comput., 2020

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

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[DOI]

SIGKDD Explor., 2020

Towards Causal Understanding of Fake News Dissemination.

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[DOI]

CoRR, 2020

Learning Individual Causal Effects from Networked Observational Data.

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[DOI]

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.

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[DOI]

Ghazaleh Beigi

Ahmadreza Mosallanezhad

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.

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Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Representation Learning for Imbalanced Cross-Domain Classification.

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[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Debiasing Grid-based Product Search in E-commerce.

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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.

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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.

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[DOI]

Soumajyoti Sarkar

Soc. Netw. Anal. Min., 2019

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

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[DOI]

CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.

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[DOI]

CoRR, 2019

Robust Cyberbullying Detection with Causal Interpretation.

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[DOI]

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.

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[DOI]

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.

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[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.

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[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Privacy Preserving Text Representation Learning.

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Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Causal Learning in Question Quality Improvement.

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Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

A Practical Data Repository for Causal Learning with Big Data.

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[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

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

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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.

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[DOI]

Hamidreza Alvari

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

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.

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[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Detecting Pathogenic Social Media Accounts without Content or Network Structure.

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[DOI]

Elham Shaabani

Proceedings of the 1st International Conference on Data Intelligence and Security, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

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[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Understanding and forecasting lifecycle events in information cascades.

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[DOI]

Soumajyoti Sarkar

Soc. Netw. Anal. Min., 2017

Temporal Analysis of Influence to Predict Users' Adoption in Online Social Networks.

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[DOI]

Ericsson Marin

Proceedings of the Social, Cultural, and Behavioral Modeling, 2017

2016

Toward early and order-of-magnitude cascade prediction in social networks.

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[DOI]

Soc. Netw. Anal. Min., 2016

An empirical evaluation of social influence metrics.

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[DOI]

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

A comparison of methods for cascade prediction.

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[DOI]