Publications
Conference Papers
- 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)]
- 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)]
- 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)]
- 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)]
- Learning Individual Treatment Effects from Networked Observational Data
Ruocheng Guo, Jundong Li and Huan Liu
WSDM 2020 (full paper, acceptance rate 15%)
[arxiv]
[code]
- 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%)
- Adaptive Unsupervised Feature Selection on Attributed Networks
Jundong Li, Ruocheng Guo, Chenghao Liu and Huan Liu
KDD 2019
[To appear]
- Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu and Huan Liu
ASONAM 2019
[code]
- Privacy Preserving Text Representation Learning
Ghazaleh Beigi, Kai Shu, Ruocheng Guo, Suhang Wang and Huan Liu
ACM HT 2019
[pdf]
- 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]
- 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]
- 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]
- INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
Ruocheng Guo, Jundong Li and Huan Liu
IJCAI-ECAI 2018 (acceptance rate 20.5%)
[pdf]
- 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]
- Detecting Pathogenic Social Media Accounts without Content or Network Structure
Elham Shaabani, Ruocheng Guo and Paulo Shakarian
ICDIS 2018 (Best Poster)
[pdf]
- Temporal Analysis of Influence to Predict Users’ Adoption in Online Social Networks
Ericsson Marin, Ruocheng Guo and Paulo Shakarian
SBP 2017
[arxiv]
- A Comparison of Methods for Cascade Prediction
Ruocheng Guo and Paulo Shakarian
ASONAM 2016
[arxiv]
-
Towards Order-of-magnitude Cascade Prediction
Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar and Paulo Shakarian
ASONAM 2015
[arxiv]
Book
- Diffusion in Social Networks
Paulo Shakarian, Abhinav Bhatnagar, Ashkan Aleali, Elham Shaabani and Ruocheng Guo
Springer International Publishing
[Download Preprint]
Workshop Papers
- Robust Cyberbullying Detection with Causal Interpretation
Lu Cheng, Ruocheng Guo, Huan Liu
CyberSafety Workshop 2019
[To Appear]
- An Empirical Evaluation of Social Influence Metrics
Nikhil Kumar, Ruocheng Guo, Ashkan Aleali and Paulo Shakarian
Social Influence Workshop 2016
[arxiv]
Journal Papers
- 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]
- 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]
- Using Network Motifs to Characterize Temporal Network Evolution Leading to Diffusion Inhibition
Soumajyoti Sarkar, Ruocheng Guo and Paulo Shakarian
SNAM 2019
[arxiv]
- Understanding and Forecasting Lifecycle Events in Information Cascades
Soumajyoti Sarkar, Ruocheng Guo and Paulo Shakarian
SNAM 2017
[arxiv]
- Toward Early and Order-of-magnitude Cascade Prediction in Social Networks
Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar and Paulo Shakarian
SNAM 2016
[arxiv]
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