Publications

Conference Papers

1. Debiasing Grid-based Product Search for E-commerce
   Ruocheng Guo, Xiaoting Zhao, Adam Henderson, Liangjie Hong and Huan Liu
   KDD 2020 (ADS Track) (full paper w. poster presentation, acceptance rate 16.0%)
   [pdf] [code (to appear)]


2. IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
   Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin and Huan Liu
   IJCAI-PRICAI 2020 (AI in Fintech Track) (full paper, acceptance rate 19.3%)
   [pdf] [code (to appear)]


3. Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
   Ruocheng Guo, Jundong Li and Huan Liu
   SDM 2020 (full paper, acceptance rate 24%)
   [arxiv] [code (to appear)]


4. Representation Learning for Imbalanced Cross-Domain Classification
   Lu Cheng, Ruocheng Guo, K.S. Candan and Huan Liu
   SDM 2020 (full paper, acceptance rate 24%)
   [arxiv (to appear)]


5. Learning Individual Treatment Effects from Networked Observational Data
   Ruocheng Guo, Jundong Li and Huan Liu
   WSDM 2020 (full paper, acceptance rate 15%)
   [arxiv] [code]


6. Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
   Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Alex Nou, Hamidreza Alvari and Huan Liu
   WSDM 2020 (full paper, acceptance rate 15%)
   


7. Adaptive Unsupervised Feature Selection on Attributed Networks
   Jundong Li, Ruocheng Guo, Chenghao Liu and Huan Liu
   KDD 2019
   [To appear]


8. Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
   Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu and Huan Liu
   ASONAM 2019
   [code]


9. Privacy Preserving Text Representation Learning
   Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang and Huan Liu
   ACM HT 2019
   [pdf]


10. Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network
    Lu Cheng, Ruocheng Guo, Yasin Silva, Deborah Hall and Huan Liu
    SDM 2019
    [pdf]


11. Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles
    Ghazaleh Beigi, Ruocheng Guo, Alex Nou, Yanchao Zhang and Huan Liu
    WSDM 2019
    [pdf][KDNuggets]


12. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
    Ruocheng Guo*, Vineeth Rakesh*, Raha Moraffah, Nitin Agarwal and Huan Liu (* Equal Contribution)
    CIKM 2018 (short paper, acceptance rate 23.4%)
    [arxiv] [pdf] [poster] [code]


13. INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
    Ruocheng Guo, Jundong Li and Huan Liu
    IJCAI-ECAI 2018 (acceptance rate 20.5%)
    [pdf]


14. Strongly Hierarchical Factorization Machines and ANOVA Kernel Regression
    Ruocheng Guo, Hamidreza Alvari and Paulo Shakarian
    SDM 2018 (acceptance rate 23.2%)
    [arxiv] [appendix]
    A 20k sample from When Do You Retweet dataset [Download]


15. Detecting Pathogenic Social Media Accounts without Content or Network Structure
    Elham Shaabani, Ruocheng Guo and Paulo Shakarian
    ICDIS 2018 (Best Poster)
    [pdf]


16. Temporal Analysis of Influence to Predict Users’ Adoption in Online Social Networks
    Ericsson Marin, Ruocheng Guo and Paulo Shakarian
    SBP 2017
    [arxiv]


17. A Comparison of Methods for Cascade Prediction
    Ruocheng Guo and Paulo Shakarian
    ASONAM 2016
    [arxiv]


18. Towards Order-of-magnitude Cascade Prediction
    Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar and Paulo Shakarian
    ASONAM 2015
    [arxiv]

Book

1. Diffusion in Social Networks
   Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani and Ruocheng Guo
   Springer International Publishing
   [Download Preprint]

Workshop Papers

1. Robust Cyberbullying Detection with Causal Interpretation
   Lu Cheng, Ruocheng Guo, Huan Liu
   CyberSafety Workshop 2019
   [To Appear]


2. An Empirical Evaluation of Social Influence Metrics
   Nikhil Kumar, Ruocheng Guo, Ashkan Aleali and Paulo Shakarian
   Social Influence Workshop 2016
   [arxiv]

Journal Papers

1. A Survey of Learning Causality with Data: Problems and Methods
   Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn and Huan Liu
   ACM Computing Surveys
   [arxiv] [pdf] [causality algorithm index]


2. Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks
   Ericsson Marin, Ruocheng Guo and Paulo Shakarian
   ACM Transactions on Social Computing
   [to appear]


3. Using Network Motifs to Characterize Temporal Network Evolution Leading to Diffusion Inhibition
   Soumajyoti Sarkar, Ruocheng Guo and Paulo Shakarian
   SNAM 2019
   [arxiv]


4. Understanding and Forecasting Lifecycle Events in Information Cascades
   Soumajyoti Sarkar, Ruocheng Guo and Paulo Shakarian
   SNAM 2017
   [arxiv]


5. Toward Early and Order-of-magnitude Cascade Prediction in Social Networks
   Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar and Paulo Shakarian
   SNAM 2016
   [arxiv]