Kai Shu
Orcid: 0000-0002-6043-1764
According to our database1,
Kai Shu
authored at least 146 papers
between 2014 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, September, 2024
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
CoRR, 2024
CoRR, 2024
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
CoRR, 2024
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR, 2024
CoRR, 2024
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.
CoRR, 2024
Understanding the concerns and choices of public when using large language models for healthcare.
CoRR, 2024
AI Mag., 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features.
Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024
EGGesture: Entropy-Guided Vector Quantized Variational AutoEncoder for Co-Speech Gesture Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Trojan Activation Attack: Red-Teaming Large Language Models using Steering Vectors for Safety-Alignment.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Knowl. Data Eng., July, 2023
Inf. Process. Manag., May, 2023
FinD: Fine-grained discrepancy-based fake news detection enhanced by event abstract generation.
Comput. Speech Lang., 2023
Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment.
CoRR, 2023
CoRR, 2023
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.
CoRR, 2023
Investigating Online Financial Misinformation and Its Consequences: A Computational Perspective.
CoRR, 2023
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation.
CoRR, 2023
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR, 2023
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation.
Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023
Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2023
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Soc. Netw. Anal. Min., 2022
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics, 2022
Inf. Process. Manag., 2022
Inf. Process. Manag., 2022
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations".
Neurocomputing, 2022
Frontiers Big Data, 2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022
2021
Inf. Process. Manag., 2021
An Approximation of Label Distribution-Based Ensemble Learning Method for Online Educational Prediction.
Int. J. Comput. Commun. Control, 2021
CoRR, 2021
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
Proceedings of the WWW '21: The Web Conference 2021, 2021
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
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Advances in Social Network Analysis and Mining in the Big Data Era: Overview of the IEEE/ACM ASONAM 2021 International Conference
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
Racial Attacks during the COVID -19 Pandemic: Politicizing an Epidemic Crisis on Longstanding Racism and Misinformation, Disinformation, and Misconception.
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
ACM Trans. Intell. Syst. Technol., 2020
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation.
CoRR, 2020
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach.
CoRR, 2020
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges.
CoRR, 2020
CoRR, 2020
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 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
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020
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
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, ISBN: 978-3-031-01915-9, 2019
Towards privacy preserving social recommendation under personalized privacy settings.
World Wide Web, 2019
Comput. Math. Organ. Theory, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019
Proceedings of the Social, Cultural, and Behavioral Modeling, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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
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
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Proceedings of the Social, Cultural, and Behavioral Modeling, 2018
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the 29th on Hypertext and Social Media, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
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
Proceedings of the VI International Conference on Network, Communication and Computing, 2017
2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014