All Stories

  1. On the Role of Anticausal Direction in LLM-based Data Synthesis

    Article • August 2026, ACM (Association for Computing Machinery)

    Huan LIu

  2. RelKD 2026: The Fourth International Workshop on Resource-Efficient Learning for Knowledge Discovery

    Article • August 2026, ACM (Association for Computing Machinery)

    Huan LIu

  3. A Survey of Scaling in Large Language Model Reasoning

    Article • ACM SIGKDD Explorations Newsletter, June 2026, ACM (Association for Computing Machinery)

    Xingbo Fu, Huan LIu

  4. Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling

    Article • April 2026, ACM (Association for Computing Machinery)

    Xuankai Yang, Jiajie Zhu, Huan LIu

  5. CausalBench+: Causal-Informed Machine Learning Benchmarking

    Article • February 2026, ACM (Association for Computing Machinery)

    Ahmet Kapkic, Shu Wan, Huan LIu

  6. Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026

    Article • February 2026, ACM (Association for Computing Machinery)

    Huan LIu

  7. Workshop on Benchmarking Causal Models (CausalBench)

    Article • February 2026, ACM (Association for Computing Machinery)

    Huan LIu

  8. Explaining the 'Unexplainable' Large Language Models

    Article • February 2026, ACM (Association for Computing Machinery)

    Huan LIu

  9. On Causal and Anticausal LLM-based Data Synthesis

    Article • February 2026, ACM (Association for Computing Machinery)

    Huan LIu

  10. Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era

    Article • November 2025, ACM (Association for Computing Machinery)

    Huan LIu

  11. An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution

    Article • November 2025, ACM (Association for Computing Machinery)

    Huan LIu

  12. Teaching Cybersecurity with a Trustworthy AI Assistant

    Article • November 2025, ACM (Association for Computing Machinery)

    Huan LIu, Chengshuai Zhao

  13. CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking

    Article • November 2025, ACM (Association for Computing Machinery)

    Ahmet Kapkic, Huan LIu, Shu Wan

  14. Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark

    Article • November 2025, ACM (Association for Computing Machinery)

    Huan LIu

  15. GraphRCG: Self-Conditioned Graph Generation

    Article • November 2025, ACM (Association for Computing Machinery)

    Huan LIu

  16. AI4DE: The 1st International Workshop on AI for Data Editing

    Article • August 2025, ACM (Association for Computing Machinery)

    Huan LIu

  17. RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery

    Article • August 2025, ACM (Association for Computing Machinery)

    Huan LIu

  18. CausalBench: Causal Learning Research Streamlined

    Article • August 2025, ACM (Association for Computing Machinery)

    Ahmet Kapkic, Huan LIu, Shu Wan

  19. Resource-Efficient Learning for the Web

    Article • May 2025, ACM (Association for Computing Machinery)

    Huan LIu

  20. Exploring Large Language Models for Feature Selection: A Data-centric Perspective

    Article • ACM SIGKDD Explorations Newsletter, January 2025, ACM (Association for Computing Machinery)

    Huan LIu

  21. Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning

    Article • October 2024, ACM (Association for Computing Machinery)

    Ahmet Kapkic, Huan LIu, Shu Wan

  22. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery

    Article • August 2024, ACM (Association for Computing Machinery)

    Mojan Javaheripi, Nitesh Chawla, Huan LIu

  23. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation

    Article • August 2024, ACM (Association for Computing Machinery)

    Huan LIu

  24. ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement

    Article • July 2024, ACM (Association for Computing Machinery)

    Huan LIu, Amrita Bhattacharjee

  25. (Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning

    Article • ACM Transactions on Spatial Algorithms and Systems, June 2024, ACM (Association for Computing Machinery)

    Fahim Azad, Huan LIu, Dr Gerardo Chowell, Ahmet Kapkic

  26. Causality Guided Disentanglement for Cross-Platform Hate Speech Detection

    Article • March 2024, ACM (Association for Computing Machinery)

    Huan LIu

  27. Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification

    Article • ACM Transactions on Knowledge Discovery from Data, November 2023, ACM (Association for Computing Machinery)

    Huan LIu

  28. Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach

    Article • November 2023, ACM (Association for Computing Machinery)

    Huan LIu

  29. STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction

    Article • October 2023, ACM (Association for Computing Machinery)

    Huan LIu

  30. A Two-tier Shared Embedding Method for Review-based Recommender Systems

    Article • October 2023, ACM (Association for Computing Machinery)

    Huan LIu

  31. HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

    Article • July 2023, ACM (Association for Computing Machinery)

    Ed H Chi, Huan LIu

  32. GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

    Article • February 2023, ACM (Association for Computing Machinery)

    Huan LIu

  33. Causal Disentanglement for Implicit Recommendations with Network Information

    Article • ACM Transactions on Knowledge Discovery from Data, February 2023, ACM (Association for Computing Machinery)

    Huan LIu, Ruocheng Guo

  34. Data Augmentation for Deep Graph Learning

    Article • ACM SIGKDD Explorations Newsletter, November 2022, ACM (Association for Computing Machinery)

    Huan LIu

  35. Toward Graph Minimally-Supervised Learning

    Article • August 2022, ACM (Association for Computing Machinery)

    Nitesh Chawla, Huan LIu

  36. The KDD 2022 Workshop on Causal Discovery (CD2022)

    Article • August 2022, ACM (Association for Computing Machinery)

    Huan LIu, Thuc Le

  37. Bias Mitigation for Toxicity Detection via Sequential Decisions

    Article • July 2022, ACM (Association for Computing Machinery)

    Huan LIu

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

    Article • ACM Transactions on Knowledge Discovery from Data, May 2022, ACM (Association for Computing Machinery)

    Huan LIu

  39. Domain Adaptive Fake News Detection via Reinforcement Learning

    Article • April 2022, ACM (Association for Computing Machinery)

    Huan LIu

  40. “This is Fake! Shared it by Mistake”:Assessing the Intent of Fake News Spreaders

    Article • April 2022, ACM (Association for Computing Machinery)

    Huan LIu, Xinyi Zhou

  41. Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies

    Article • February 2022, ACM (Association for Computing Machinery)

    Huan LIu

  42. Causal Mediation Analysis with Hidden Confounders

    Article • February 2022, ACM (Association for Computing Machinery)

    Huan LIu

  43. Graph Minimally-supervised Learning

    Article • February 2022, ACM (Association for Computing Machinery)

    Nitesh Chawla, Huan LIu

  44. Graph Few-shot Class-incremental Learning

    Article • February 2022, ACM (Association for Computing Machinery)

    Huan LIu

  45. Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning

    Article • October 2021, ACM (Association for Computing Machinery)

    Huan LIu

  46. CauseBox

    Article • October 2021, ACM (Association for Computing Machinery)

    Huan LIu

  47. Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors

    Article • August 2021, ACM (Association for Computing Machinery)

    Huan LIu

  48. The KDD 2021 Workshop on Causal Discovery (CD2021)

    Article • August 2021, ACM (Association for Computing Machinery)

    Huan LIu, negar kiyavash, Thuc Le

  49. Causal Understanding of Fake News Dissemination on Social Media

    Article • August 2021, ACM (Association for Computing Machinery)

    Huan LIu

  50. Adversarial Attacks and Defenses

    Article • ACM SIGKDD Explorations Newsletter, May 2021, ACM (Association for Computing Machinery)

    Huan LIu

  51. Few-shot Network Anomaly Detection via Cross-network Meta-learning

    Article • April 2021, ACM (Association for Computing Machinery)

    Huan LIu

  52. Improving Cyberbullying Detection with User Interaction

    Article • April 2021, ACM (Association for Computing Machinery)

    Huan LIu

  53. Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks

    Article • ACM/IMS Transactions on Data Science, April 2021, ACM (Association for Computing Machinery)

    Huan LIu

  54. Long-Term Effect Estimation with Surrogate Representation

    Article • March 2021, ACM (Association for Computing Machinery)

    Huan LIu

  55. Graph Prototypical Networks for Few-shot Learning on Attributed Networks

    Article • October 2020, ACM (Association for Computing Machinery)

    Huan LIu

  56. Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model

    Article • October 2020, ACM (Association for Computing Machinery)

    Huan LIu, Siqi Wu

  57. The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020)

    Article • October 2020, ACM (Association for Computing Machinery)

    Huan LIu

  58. A Survey of Learning Causality with Data

    Article • ACM Computing Surveys, September 2020, ACM (Association for Computing Machinery)

    Huan LIu

  59. Debiasing Grid-based Product Search in E-commerce

    Article • August 2020, ACM (Association for Computing Machinery)

    Huan LIu

  60. Next-item Recommendation with Sequential Hypergraphs

    Article • July 2020, ACM (Association for Computing Machinery)

    Huan LIu

  61. Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection

    Article • July 2020, ACM (Association for Computing Machinery)

    Huan LIu

  62. Causal Interpretability for Machine Learning - Problems, Methods and Evaluation

    Article • ACM SIGKDD Explorations Newsletter, May 2020, ACM (Association for Computing Machinery)

    Huan LIu

  63. A Survey on Privacy in Social Media

    Article • ACM/IMS Transactions on Data Science, February 2020, ACM (Association for Computing Machinery)

    Huan LIu

  64. Social Science–guided Feature Engineering

    Article • ACM Transactions on Intelligent Systems and Technology, February 2020, ACM (Association for Computing Machinery)

    Huan LIu

  65. #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter

    Article • November 2019, ACM (Association for Computing Machinery)

    Ramit Sawhney, Huan LIu

  66. Beyond word2vec

    Article • November 2019, ACM (Association for Computing Machinery)

    Huan LIu

  67. dEFEND

    Article • November 2019, ACM (Association for Computing Machinery)

    Huan LIu

  68. BigScholar 2019: The 6th Workshop on Big Scholarly Data

    Article • November 2019, ACM (Association for Computing Machinery)

    Huan LIu

  69. dEFEND

    Article • July 2019, ACM (Association for Computing Machinery)

    Huan LIu

  70. Adaptive Unsupervised Feature Selection on Attributed Networks

    Article • July 2019, ACM (Association for Computing Machinery)

    Huan LIu

  71. Learning From Networks

    Article • July 2019, ACM (Association for Computing Machinery)

    Huan LIu, Fei Wang

  72. Fake News Research

    Article • July 2019, ACM (Association for Computing Machinery)

    Huan LIu

  73. Debunking Rumors in Social Networks

    Article • June 2019, ACM (Association for Computing Machinery)

    Huan LIu

  74. Signed Link Prediction with Sparse Data: The Role of Personality Information

    Article • May 2019, ACM (Association for Computing Machinery)

    Huan LIu

  75. Robust Cyberbullying Detection with Causal Interpretation

    Article • May 2019, ACM (Association for Computing Machinery)

    Huan LIu

  76. Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items

    Article • January 2019, ACM (Association for Computing Machinery)

    Huan LIu

  77. Fake News

    Article • January 2019, ACM (Association for Computing Machinery)

    Huan LIu, Xinyi Zhou

  78. XBully

    Article • January 2019, ACM (Association for Computing Machinery)

    Huan LIu

  79. Protecting User Privacy

    Article • January 2019, ACM (Association for Computing Machinery)

    Huan LIu

  80. Beyond News Contents

    Article • January 2019, ACM (Association for Computing Machinery)

    Huan LIu

  81. Random-Forest-Inspired Neural Networks

    Article • ACM Transactions on Intelligent Systems and Technology, November 2018, ACM (Association for Computing Machinery)

    Huan LIu

  82. Towards Explainable Networked Prediction

    Article • October 2018, ACM (Association for Computing Machinery)

    Huan LIu

  83. Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation

    Article • October 2018, ACM (Association for Computing Machinery)

    Huan LIu

  84. "Bridge"

    Article • October 2018, ACM (Association for Computing Machinery)

    Huan LIu

  85. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects

    Article • October 2018, ACM (Association for Computing Machinery)

    Huan LIu

  86. Exploiting Multilabel Information for Noise-Resilient Feature Selection

    Article • ACM Transactions on Intelligent Systems and Technology, September 2018, ACM (Association for Computing Machinery)

    Huan LIu

  87. Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

    Article • July 2018, ACM (Association for Computing Machinery)

    Guansong Pang, Huan LIu

  88. Securing Social Media User Data

    Article • July 2018, ACM (Association for Computing Machinery)

    Huan LIu

  89. Identifying Framing Bias in Online News

    Article • ACM Transactions on Social Computing, June 2018, ACM (Association for Computing Machinery)

    Huan LIu

  90. Turning Clicks into Purchases

    Article • June 2018, ACM (Association for Computing Machinery)

    Huan LIu

  91. Understanding and Identifying Rhetorical Questions in Social Media

    Article • ACM Transactions on Intelligent Systems and Technology, March 2018, ACM (Association for Computing Machinery)

    Huan LIu

  92. CrossFire

    Article • February 2018, ACM (Association for Computing Machinery)

    Huan LIu

  93. Streaming Link Prediction on Dynamic Attributed Networks

    Article • February 2018, ACM (Association for Computing Machinery)

    Huan LIu

  94. Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests

    Article • February 2018, ACM (Association for Computing Machinery)

    Huan LIu

  95. Tracing Fake-News Footprints

    Article • February 2018, ACM (Association for Computing Machinery)

    Huan LIu

  96. Feature Selection

    Article • ACM Computing Surveys, January 2018, ACM (Association for Computing Machinery)

    Huan LIu

  97. Understanding and Predicting Delay in Reciprocal Relations

    Article • January 2018, ACM (Association for Computing Machinery)

    Huan LIu

  98. Attributed Network Embedding for Learning in a Dynamic Environment

    Article • November 2017, ACM (Association for Computing Machinery)

    Huan LIu

  99. Attributed Signed Network Embedding

    Article • November 2017, ACM (Association for Computing Machinery)

    Huan LIu

  100. Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods

    Article • August 2017, ACM (Association for Computing Machinery)

    Huan LIu

  101. Unsupervised Feature Selection in Signed Social Networks

    Article • August 2017, ACM (Association for Computing Machinery)

    Huan LIu

  102. What Your Images Reveal

    Article • April 2017, ACM (Association for Computing Machinery)

    Huan LIu

  103. A Survey of Signed Network Mining in Social Media

    Article • ACM Computing Surveys, December 2016, ACM (Association for Computing Machinery)

    Huan LIu

  104. Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection

    Article • October 2016, ACM (Association for Computing Machinery)

    Huan LIu

  105. Paired Restricted Boltzmann Machine for Linked Data

    Article • October 2016, ACM (Association for Computing Machinery)

    Huan LIu

  106. Linked Document Embedding for Classification

    Article • October 2016, ACM (Association for Computing Machinery)

    Huan LIu

  107. Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties

    Article • Journal of Data and Information Quality, October 2016, ACM (Association for Computing Machinery)

    Huan LIu

  108. Recommendations in Signed Social Networks

    Article • April 2016, ACM (Association for Computing Machinery)

    Huan LIu

  109. Relational Learning with Social Status Analysis

    Article • February 2016, ACM (Association for Computing Machinery)

    Huan LIu

  110. Understanding and Identifying Advocates for Political Campaigns on Social Media

    Article • February 2016, ACM (Association for Computing Machinery)

    Huan LIu

  111. Toward Dual Roles of Users in Recommender Systems

    Article • October 2015, ACM (Association for Computing Machinery)

    Huan LIu

  112. 10 Bits of Surprise

    Article • October 2015, ACM (Association for Computing Machinery)

    Huan LIu

  113. Unsupervised Streaming Feature Selection in Social Media

    Article • October 2015, ACM (Association for Computing Machinery)

    Huan LIu

  114. The Fragility of Twitter Social Networks Against Suspended Users

    Article • August 2015, ACM (Association for Computing Machinery)

    Huan LIu, Dr. Kathleen M Carley

  115. Finding the Right Social Media Site for Questions

    Article • August 2015, ACM (Association for Computing Machinery)

    Huan LIu

  116. Exploring a Scalable Solution to Identifying Events in Noisy Twitter Streams

    Article • August 2015, ACM (Association for Computing Machinery)

    Huan LIu

  117. Evaluation without ground truth in social media research

    Article • Communications of the ACM, May 2015, ACM (Association for Computing Machinery)

    Huan LIu

  118. Sarcasm Detection on Twitter

    Article • February 2015, ACM (Association for Computing Machinery)

    Huan LIu

  119. Negative Link Prediction in Social Media

    Article • February 2015, ACM (Association for Computing Machinery)

    Huan LIu

  120. Text, Topics, and Turkers

    Article • January 2015, ACM (Association for Computing Machinery)

    Huan LIu

  121. Surpassing the Limit

    Article • January 2015, ACM (Association for Computing Machinery)

    Huan LIu

  122. Predictability of Distrust with Interaction Data

    Article • November 2014, ACM (Association for Computing Machinery)

    Huan LIu

  123. When is it biased?

    Article • January 2014, ACM (Association for Computing Machinery)

    Huan LIu

  124. Understanding Twitter data with TweetXplorer

    Article • August 2013, ACM (Association for Computing Machinery)

    Huan LIu

  125. A tool for collecting provenance data in social media

    Article • August 2013, ACM (Association for Computing Machinery)

    Huan LIu

  126. Exploiting homophily effect for trust prediction

    Article • February 2013, ACM (Association for Computing Machinery)

    Huan LIu

  127. Exploiting social relations for sentiment analysis in microblogging

    Article • February 2013, ACM (Association for Computing Machinery)

    Huan LIu

  128. Modeling temporal effects of human mobile behavior on location-based social networks

    Article • January 2013, ACM (Association for Computing Machinery)

    Huan LIu

  129. A tool for assisting provenance search in social media

    Article • January 2013, ACM (Association for Computing Machinery)

    Huan LIu

  130. Seeking provenance of information using social media

    Article • January 2013, ACM (Association for Computing Machinery)

    Huan LIu

  131. Mining Social Media: A Brief Introduction

    Article • October 2012, INFORMS

    Huan LIu