2025
Can Multimodal LLMs Perform Time Series Anomaly Detection?
CoRR, February, 2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
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CoRR, February, 2025
Benchmarking LLMs for Political Science: A United Nations Perspective.
CoRR, February, 2025
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding.
CoRR, February, 2025
Multi-modal Robustness Fake News Detection with Cross-Modal and Propagation Network Contrastive Learning.
Knowl. Based Syst., 2025
Piecing It All Together: Verifying Multi-Hop Multimodal Claims.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.
SIGKDD Explor., December, 2024
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.
ACM Trans. Knowl. Discov. Data, September, 2024
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
CoRR, 2024
ConQRet: Benchmarking Fine-Grained Evaluation of Retrieval Augmented Argumentation with LLM Judges.
CoRR, 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
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CoRR, 2024
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
CoRR, 2024
Can Knowledge Editing Really Correct Hallucinations?
CoRR, 2024
Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach.
CoRR, 2024
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
CoRR, 2024
Can Editing LLMs Inject Harm?
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CoRR, 2024
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR, 2024
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting.
CoRR, 2024
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.
CoRR, 2024
Can Large Language Model Agents Simulate Human Trust Behaviors?
CoRR, 2024
Understanding the concerns and choices of public when using large language models for healthcare.
CoRR, 2024
TrustLLM: Trustworthiness in Large Language Models.
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CoRR, 2024
Combating misinformation in the age of LLMs: Opportunities and challenges.
AI Mag., 2024
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire.
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
Can Large Language Model Agents Simulate Human Trust Behavior?
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2024
Position: TrustLLM: Trustworthiness in Large Language Models.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Can LLM-Generated Misinformation Be Detected?
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024
Can Large Language Models Identify Authorship?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection.
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
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Investigating Gender Euphoria and Dysphoria on TikTok: Characterization and Comparison.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
2023
Memory-Guided Multi-View Multi-Domain Fake News Detection.
IEEE Trans. Knowl. Data Eng., July, 2023
Meta-prompt based learning for low-resource false information detection.
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
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.
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
Emulating Reader Behaviors for Fake News Detection.
CoRR, 2023
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR, 2023
Data Augmentation for Seizure Prediction with Generative Diffusion Model.
CoRR, 2023
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.
CoRR, 2023
Attacking Fake News Detectors via Manipulating News Social Engagement.
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
Hybrid PDES Simulation of HPC Networks Using Zombie Packets.
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
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.
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
Cross-Domain Graph Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Applications of machine learning for COVID-19 misinformation: a systematic review.
Soc. Netw. Anal. Min., 2022
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics, 2022
Characterizing multi-domain false news and underlying user effects on Chinese Weibo.
Inf. Process. Manag., 2022
Foreword to the special issue on dis/misinformation mining from social media.
Inf. Process. Manag., 2022
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations".
Neurocomputing, 2022
Fair classification via domain adaptation: A dual adversarial learning approach.
Frontiers Big Data, 2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.
CoRR, 2022
On Fair Classification with Mostly Private Sensitive Attributes.
CoRR, 2022
Benchmarking Node Outlier Detection on Graphs.
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CoRR, 2022
Joint Adversarial Learning for Cross-domain Fair Classification.
CoRR, 2022
PyGOD: A Python Library for Graph Outlier Detection.
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CoRR, 2022
Artificial Intelligence Algorithms for Treatment of Diabetes.
Algorithms, 2022
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Domain Adaptive Fake News Detection via Reinforcement Learning.
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
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
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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
A Model-Agnostic Approach to Differentially Private Topic Mining.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
An OTFS Channel Estimation Scheme Based on Efficient Sparse Bayesian Learning.
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
Delving into Data Science Methods in Response to the COVID -19 Infodemic.
Proceedings of the Crisis, Transition, Resilience: Re-imagining an information resilient society, 2022
2021
Temporally evolving graph neural network for fake news detection.
Inf. Process. Manag., 2021
An Approximation of Label Distribution-Based Ensemble Learning Method for Online Educational Prediction.
Int. J. Comput. Commun. Control, 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
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
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, ISBN: 978-3-031-01915-9, 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
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 Computing, 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