Liu, Huan

Fake News Detection on Social Media: A Data Mining Perspective

Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 3,304

Feature Selection: A Data Perspective

Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2018) · ACM Computing Surveys

Statistical Methods and InferenceFace and Expression Recognition

Cited by 2,442

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose

Morstatter, F., Pfeffer, J., Liu, H., & Carley, K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media

Computational and Text Analysis MethodsComplex Network Analysis Techniques

Cited by 863

Relational learning via latent social dimensions

Tang, L., & Liu, H. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 799

Recent advances in feature selection and its applications

Li, Y., Li, T., & Liu, H. (2017) · Knowledge and Information Systems

Statistical Methods and InferenceFace and Expression Recognition

Cited by 400

A Survey of Learning Causality with Data: Problems and Methods

Guo, R., Cheng, L., Li, J., Hahn, P. R., & Liu, H. (2021) · ACM Computing Surveys

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 362

Leveraging social media networks for classification

Tang, L., & Liu, H. (2011) · Data Mining and Knowledge Discovery

Complex Network Analysis TechniquesAdvanced Graph Neural Networks

Cited by 360

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Li, D., Jiang, B., Huang, L., Beigi, A., Zhao, C., Tan, Z., Bhattacharjee, A., Jiang, Y., Chen, C., Wu, T., et al. (2024) · arXiv

Artificial Intelligence in LawTopic Modeling

Cited by 271

Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

Cheng, L., Varshney, K. R., & Liu, H. (2021) · Journal of Artificial Intelligence Research

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 261

Fake News: Fundamental Theories, Detection Strategies and Challenges

Zhou, X., Zafarani, R., Shu, K., & Liu, H. (2019) · Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 256

Causal interpretability for machine learning-problems, methods and evaluation

Moraffah, R., Karami, M., Guo, R., Raglin, A., & Liu, H. (2020) · ACM SIGKDD Explorations Newsletter

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 238

Scalable learning of collective behavior based on sparse social dimensions

Tang, L., & Liu, H. (2009) · Proceedings of the 18th ACM conference on Information and knowledge management

Complex Network Analysis TechniquesRecommender Systems and Techniques

Cited by 233

Combating disinformation in a social media age

Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020) · WIREs Data Mining and Knowledge Discovery

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 198

On Issues of Instance Selection

Liu, H., & Motoda, H. (2002) · Data Mining and Knowledge Discovery

Machine Learning and Data ClassificationData Mining Algorithms and Applications

Cited by 191

Large Language Models for Data Annotation and Synthesis: A Survey

Tan, Z., Li, D., Wang, S., Beigi, A., Jiang, B., Bhattacharjee, A., Karami, M., Li, J., Cheng, L., & Liu, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 178

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Li, D., Sun, R., Huang, Y., Zhong, M., Jiang, B., Han, J., Zhang, X., Wang, W., & Liu, H. (2025) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 134

Online Social Spammer Detection

Hu, X., Tang, J., & Liu, H. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence

Spam and Phishing DetectionHate Speech and Cyberbullying Detection

Cited by 133

Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network

Cheng, L., Guo, R., Silva, Y., Hall, D., & Liu, H. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 95

Is distrust the negation of trust?: the value of distrust in social media

Tang, J., Hu, X., & Liu, H. (2014) · Proceedings of the 25th ACM conference on Hypertext and social media

Access Control and TrustMisinformation and Its Impacts

Cited by 91

When is it biased?: assessing the representativeness of twitter's streaming API

Morstatter, F., Pfeffer, J., & Liu, H. (2014) · Proceedings of the 23rd International Conference on World Wide Web

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 90

Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce

Wu, L., Hu, D., Hong, L., & Liu, H. (2018) · The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 85

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

Beigi, G., Mosallanezhad, A., Guo, R., Alvari, H., Nou, A., & Liu, H. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 80

Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?

Bhattacharjee, A., & Liu, H. (2024) · ACM SIGKDD Explorations Newsletter

Authorship Attribution and ProfilingTopic Modeling

Cited by 65

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data

Pang, G., Cao, L., Chen, L., Lian, D., & Liu, H. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsAdvanced Statistical Methods and Models

Cited by 59