Kai Shu

According to our database1, Kai Shu authored at least 75 papers between 2014 and 2021.

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Bibliography

2021
Temporally evolving graph neural network for fake news detection.
Inf. Process. Manag., 2021

Detecting Fake News With Weak Social Supervision.
IEEE Intell. Syst., 2021

Enhancing Model Robustness and Fairness with Causality: A Regularization Approach.
CoRR, 2021

A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues.
CoRR, 2021

WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding.
CoRR, 2021

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features.
CoRR, 2021

Mining Dual Emotion for Fake News Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

User Preference-aware Fake News Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Labeled Data Generation with Inexact Supervision.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

DAFD: Domain Adaptation Framework for Fake News Detection.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Generating Topic-Preserving Synthetic News.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Fact-Enhanced Synthetic News Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Combating disinformation in a social media age.
WIREs Data Mining Knowl. Discov., 2020

Exploring Correlation Network for Cheating Detection.
ACM Trans. Intell. Syst. Technol., 2020

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.
CoRR, 2020

Incorporating User-Comment Graph for Fake News Detection.
CoRR, 2020

Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach.
CoRR, 2020

Towards Causal Understanding of Fake News Dissemination.
CoRR, 2020

Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR, 2020

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR, 2020

Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements.
CoRR, 2020

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media.
Big Data, 2020

Joint Spatial and Temporal Modeling for Hydrological Prediction.
IEEE Access, 2020

Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Learning with Weak Supervision for Email Intent Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Spatial Community-Informed Evolving Graphs for Demand Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Authorship Attribution for Neural Text Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Detecting Fake News on Social Media
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2019

Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web, 2019

Deep causal representation learning for unsupervised domain adaptation.
CoRR, 2019

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

Applications of Social Media in Hydroinformatics: A Survey.
CoRR, 2019

The Role of User Profile for Fake News Detection.
CoRR, 2019

Graph Neural Networks for User Identity Linkage.
CoRR, 2019

Exploiting Emotions for Fake News Detection on Social Media.
CoRR, 2019

FakeNewsTracker: a tool for fake news collection, detection, and visualization.
Comput. Math. Organ. Theory, 2019

Fake News: Fundamental Theories, Detection Strategies and Challenges.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Beyond News Contents: The Role of Social Context for Fake News Detection.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Exploiting Emojis for Sarcasm Detection.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

Fake News Research: Theories, Detection Strategies, and Open Problems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

dEFEND: Explainable Fake News Detection.
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

dEFEND: A System for Explainable Fake News Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

The role of user profiles for fake news detection.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

5 sources of clickbaits you should know!: using synthetic clickbaits to improve prediction and distinguish between bot-generated and human-written headlines.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Unsupervised Fake News Detection on Social Media: A Generative Approach.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media.
CoRR, 2018

Studying Fake News via Network Analysis: Detection and Mitigation.
CoRR, 2018

CrossFire: Cross Media Joint Friend and Item Recommendations.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Understanding Cyber Attack Behaviors with Sentiment Information on Social Media.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018

Understanding User Profiles on Social Media for Fake News Detection.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Multimodal Fusion of Brain Networks with Longitudinal Couplings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Headline Generation for Clickbait Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Securing Social Media User Data: An Adversarial Approach.
Proceedings of the 29th on Hypertext and Social Media, 2018

Exploiting User Actions for App Recommendations.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Personalized Privacy-Preserving Social Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Fake News Detection on Social Media: A Data Mining Perspective.
SIGKDD Explor., 2017

Exploiting Tri-Relationship for Fake News Detection.
CoRR, 2017

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications.
CoRR, 2017

What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Beamforming with Enhanced CNN Network.
Proceedings of the VI International Conference on Network, Communication and Computingm, 2017

2016
User Identity Linkage across Online Social Networks: A Review.
SIGKDD Explor., 2016

Multi-Label Informed Feature Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014
Deal or deceit: detecting cheating in distribution channels.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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