Lu Cheng

CoRR, 2024

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models for Data Annotation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Safe Multi-Modal Learning System.

[BibT_eX]

[DOI]

CoRR, 2024

2023

sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2023

Causal Disentanglement for Implicit Recommendations with Network Information.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2023

Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Interpreting Pretrained Language Models via Concept Bottlenecks.

[BibT_eX]

[DOI]

CoRR, 2023

STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.

[BibT_eX]

[DOI]

Nayoung Kim

David Mosallanezhad

Michelle V. Mancenido

CoRR, 2023

Intersectionality and Testimonial Injustice in Medical Records.

[BibT_eX]

[DOI]

Kenya S. Andrews

Bhuvani Shah

CoRR, 2023

Equal Opportunity of Coverage in Fair Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges.

[BibT_eX]

[DOI]

Usman Gohar

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fair Few-Shot Learning with Auxiliary Sets.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs.

[BibT_eX]

[DOI]

Tianyi Zhao

Hui Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fairness through Aleatoric Uncertainty.

[BibT_eX]

[DOI]

Anique Tahir

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Intersectionality and Testimonial Injustice in Medical Records.

[BibT_eX]

[DOI]

Kenya S. Andrews

Bhuvni Shah

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Socially Responsible AI - Theories and Practices

[BibT_eX]

[DOI]

WorldScientific, ISBN: 9789811266645, 2023

2022

Evaluation Methods and Measures for Causal Learning Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Improving Vaccine Stance Detection by Combining Online and Offline Data.

[BibT_eX]

[DOI]

CoRR, 2022

Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data.

[BibT_eX]

[DOI]

Nayoung Kim

Baoxin Li

Huan Li

CoRR, 2022

Toward Understanding Bias Correlations for Mitigation in NLP.

[BibT_eX]

[DOI]

Suyu Ge

CoRR, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Causal Mediation Analysis with Hidden Confounders.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Causal Disentanglement with Network Information for Debiased Recommendations.

[BibT_eX]

[DOI]

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

Bias Mitigation for Toxicity Detection via Sequential Decisions.

[BibT_eX]

[DOI]

Yasin N. Silva

Deborah L. Hall

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph.

[BibT_eX]

[DOI]

Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

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

[BibT_eX]

[DOI]

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

Debiasing Word Embeddings with Nonlinear Geometry.

[BibT_eX]

[DOI]

Nayoung Kim

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Distributional Shift Adaptation using Domain-Specific Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.

[BibT_eX]

[DOI]

Trans. Data Sci., 2021

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.

[BibT_eX]

[DOI]

Kush R. Varshney

J. Artif. Intell. Res., 2021

Session-Based Cyberbullying Detection: Problems and Challenges.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2021

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

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation.

[BibT_eX]

[DOI]

CoRR, 2021

Mechanisms and Attributes of Echo Chambers in Social Media.

[BibT_eX]

[DOI]

CoRR, 2021

Automated Meta-Analysis: A Causal Learning Perspective.

[BibT_eX]

[DOI]

Dmitriy A. Katz-Rogozhnikov

Kush R. Varshney

Ioana Baldini

CoRR, 2021

Improving Cyberbullying Detection with User Interaction.

[BibT_eX]

[DOI]

Suyu Ge

Proceedings of the WWW '21: The Web Conference 2021, 2021

Long-Term Effect Estimation with Surrogate Representation.

[BibT_eX]

[DOI]

Ruocheng Guo

Proceedings of the WSDM '21, 2021

Causal Understanding of Fake News Dissemination on Social Media.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Causal Learning for Socially Responsible AI.

[BibT_eX]

[DOI]

Paras Sheth

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

Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach.

[BibT_eX]

[DOI]

Yasin N. Silva

Deborah L. Hall

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Improving Cyberbully Detection with User Interaction.

[BibT_eX]

[DOI]

Suyu Ge

CoRR, 2020

Towards Causal Understanding of Fake News Dissemination.

[BibT_eX]

[DOI]