publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. SIGKDD
    Debiasing Recommendation by Learning Identifiable Latent Confounders
    Zhang, Qing, Zhang, Xiaoying, Liu, Yang, Wang, Hongning, Gao, Min, Zhang, Jiheng, and Guo, Ruocheng
    In SIGKDD 2023
    arXiv Code
  2. SIGKDD
    Learning for Counterfactual Fairness from Observational Data
    Ma, Jing,  Guo, Ruocheng, Zhang, Aidong, and Li, Jundong
    In SIGKDD 2023
    arXiv Code
  3. SIGKDD
    Virtual Node Tuning for Few-shot Node Classification
    Tan, Zhen,  Guo, Ruocheng, Ding, Kaize, and Liu, Huan
    In SIGKDD 2023
    arXiv Code
  4. SIGKDD
    Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
    Chen, Xiaohui, Sun, Jiankai, Wang, Taiqing,  Guo, Ruocheng, Liu, Li-Ping, and Zhang, Aonan
    In SIGKDD 2023
    arXiv
  5. What Boosts Fake News Dissemination on Social Media? A Causal Inference View
    Li, Yichuan, Lee, Kyumin, Kordzadeh, Nima, and Guo, Ruocheng
    In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2023
  6. Causal Disentanglement for Implicit Recommendations with Network Information
    Sheth, Paras,  Guo, Ruocheng, Cheng, Lu, Liu, Huan, and Candan, Kasim Selçuk
    ACM Transactions on Knowledge Discovery from Data 2023
    arXiv Code
  7. AutoMLP: Automated MLP for Sequential Recommendations
    Li, Muyang, Zhang, Zijian, Zhao, Xiangyu, Wang, Wanyu, Zhao, Minghao, Wu, Runze, and Guo, Ruocheng
    In Proceedings of the ACM Web Conference 2023 2023

2022

  1. NeurIPS
    CLEAR: Generative Counterfactual Explanations on Graphs
    Ma, Jing,  Guo, Ruocheng, Mishra, Saumitra, Zhang, Aidong, and Li, Jundong
    In NeurIPS 2022
    arXiv Code
  2. WSDM
    Learning Fair Node Representations with Graph Counterfactual Fairness
    Ma, Jing,  Guo, Ruocheng, Wan, Mengting, Yang, Longqi, Zhang, Aidong, and Li, Jundong
    In WSDM 2022
    arXiv Code
  3. WSDM
    Graph Few-shot Class-incremental Learning
    Tan, Zhen, Ding, Kaize,  Guo, Ruocheng, and Liu, Huan
    In WSDM 2022
    arXiv
  4. WSDM
    Causal Mediation Analysis with Hidden Confounders
    Cheng, Lu,  Guo, Ruocheng, and Liu, Huan
    In WSDM 2022
    arXiv
  5. WSDM
    Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
    Cheng, Lu,  Guo, Ruocheng, and Liu, Huan
    In WSDM 2022
    arXiv
  6. ICWSM
    Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
    Cheng, Lu,  Guo, Ruocheng, Candan, Kasim Selcuk, and Liu, Huan
    In ICWSM 2022
    arXiv
  7. ECMLPKDD
    Supervised Graph Contrastive Learning for Few-shot Node Classification
    Tan, Zhen, Ding, Kaize,  Guo, Ruocheng, and Liu, Huan
    In ECMLPKDD 2022
    arXiv
  8. IJCAI
    MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
    Li, Muyang, Zhao, Xiangyu, Lyu, Chuan, Zhao, Minghao, Wu, Runze, and Guo, Ruocheng
    In IJCAI 2022
    arXiv
  9. Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
    Ren, Weijieying, Wang, Lei, Liu, Kunpeng,  Guo, Ruocheng, Peng, Lim Ee, and Fu, Yanjie
    In ICDM 2022
    arXiv
  10. Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
    Jeong, Ujun, Ding, Kaize, Cheng, Lu,  Guo, Ruocheng, Shu, Kai, and Liu, Huan
    In BigData 2022
    arXiv
  11. Accurate identification of bacteriophages from metagenomic data using Transformer
    Shang, Jiayu, Tang, Xubo,  Guo, Ruocheng, and Sun, Yanni
    Briefings in bioinformatics 2022
  12. Evaluation Methods and Measures for Causal Learning Algorithms
    Cheng, Lu,  Guo, Ruocheng, Moraffah, Raha, Sheth, Paras, Candan, Kasim Selcuk, and Liu, Huan
    IEEE Transactions on Artificial Intelligence 2022
    arXiv

2021

  1. SIGKDD
    Causal Understanding of Fake News Dissemination on Social Media
    Cheng, Lu,  Guo, Ruocheng, Shu, Kai, and Liu, Huan
    In SIGKDD 2021
    arXiv Code
  2. WSDM
    Long-term effect estimation with surrogate representation
    Cheng, Lu,  Guo, Ruocheng, and Liu, Huan
    In WSDM 2021
    arXiv Code
  3. WSDM
    Deconfounding with networked observational data in a dynamic environment
    Ma, Jing,  Guo, Ruocheng, Chen, Chen, Zhang, Aidong, and Li, Jundong
    In WSDM 2021
    Code
  4. IJCAI
    Multi-Cause Effect Estimation with Disentangled Confounder Representation
    Ma, Jing,  Guo, Ruocheng, Zhang, Aidong, and Li, Jundong
    In IJCAI 2021
    Code
  5. Adversarial machine learning: An interpretation perspective
    Liu, Ninghao, Du, Mengnan,  Guo, Ruocheng, Liu, Huan, and Hu, Xia
    ACM SIGKDD Explorations Newsletter 2021
  6. Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks
    Cheng, Lu,  Guo, Ruocheng, Silva, Yasin N, Hall, Deborah, and Liu, Huan
    ACM/IMS Transactions on Data Science 2021
  7. CauseBox: A Causal Inference Toolbox for Benchmarking Treatment Effect Estimators with Machine Learning Methods
    Sheth, Paras, Jeong, Ujun,  Guo, Ruocheng, Liu, Huan, and Candan, K Selçuk
    In CIKM 2021

2020

  1. CSUR
    A survey of learning causality with data: Problems and methods
    Guo, Ruocheng, Cheng, Lu, Li, Jundong, Hahn, P Richard, and Liu, Huan
    ACM Computing Surveys (CSUR) 2020
    arXiv
  2. WSDM
    Learning Individual Causal Effects from Networked Observational Data
    Guo, Ruocheng, Li, Jundong, and Liu, Huan
    In WSDM 2020
    arXiv Code
  3. SIGKDD
    Debiasing Grid-based Product Search in E-commerce
    Guo, Ruocheng, Zhao, Xiaoting, Henderson, Adam, Hong, Liangjie, and Liu, Huan
    In SIGKDD 2020
    PDF
  4. SDM
    Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
    Guo, Ruocheng, Li, Jundong, and Liu, Huan
    In SDM 2020
  5. IJCAI
    IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
    Guo, Ruocheng, Li, Jundong, Li, Yichuan, Candan, K Selçuk, Raglin, Adrienne, and Liu, Huan
    In IJCAI 2020
  6. WSDM
    Privacy-aware recommendation with private-attribute protection using adversarial learning
    Beigi, Ghazaleh, Mosallanezhad, Ahmadreza,  Guo, Ruocheng, Alvari, Hamidreza, Nou, Alexander, and Liu, Huan
    In WSDM 2020
  7. SDM
    Representation learning for imbalanced cross-domain classification
    Cheng, Lu,  Guo, Ruocheng, Candan, K Selçuk, and Liu, Huan
    In SDM 2020
  8. Causal Interpretability for Machine Learning–Problems, Methods and Evaluation
    Moraffah, Raha, Karami, Mansooreh,  Guo, Ruocheng, Raglin, Adrienne, and Liu, Huan
    ACM SIGKDD Explorations Newsletter 2020
  9. Measuring time-constrained influence to predict adoption in online social networks
    Marin, Ericsson,  Guo, Ruocheng, and Shakarian, Paulo
    ACM Transactions on Social Computing 2020

2019

  1. SIGKDD
    Adaptive unsupervised feature selection on attributed networks
    Li, Jundong,  Guo, Ruocheng, Liu, Chenghao, and Liu, Huan
    In SIGKDD 2019
  2. WSDM
    Protecting user privacy: An approach for untraceable web browsing history and unambiguous user profiles
    Beigi, Ghazaleh,  Guo, Ruocheng, Nou, Alexander, Zhang, Yanchao, and Liu, Huan
    In WSDM 2019
  3. Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network
    Cheng, Lu,  Guo, Ruocheng, Silva, Yasin, Hall, Deborah, and Liu, Huan
    In SDM 2019
  4. Using network motifs to characterize temporal network evolution leading to diffusion inhibition
    Sarkar, Soumajyoti,  Guo, Ruocheng, and Shakarian, Paulo
    Social Network Analysis and Mining 2019
  5. Privacy preserving text representation learning
    Beigi, Ghazaleh, Shu, Kai,  Guo, Ruocheng, Wang, Suhang, and Liu, Huan
    In HyperText 2019
  6. Multi-level network embedding with boosted low-rank matrix approximation
    Li, Jundong, Wu, Liang,  Guo, Ruocheng, Liu, Chenghao, and Liu, Huan
    In ASONAM 2019
  7. Robust cyberbullying detection with causal interpretation
    Cheng, Lu,  Guo, Ruocheng, and Liu, Huan
    In Companion of WWW 2019

2018

  1. INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
    Guo, Ruocheng, Li, Jundong, and Liu, Huan
    In IJCAI 2018
  2. Strongly hierarchical factorization machines and ANOVA kernel regression
    Guo, Ruocheng, Alvari, Hamidreza, and Shakarian, Paulo
    In SDM 2018
  3. Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
    Rakesh, Vineeth,  Guo, Ruocheng, Moraffah, Raha, Agarwal, Nitin, and Liu, Huan
    In CIKM 2018
  4. Detecting pathogenic social media accounts without content or network structure
    Shaabani, Elham,  Guo, Ruocheng, and Shakarian, Paulo
    In ICDIS 2018

2017

  1. Temporal analysis of influence to predict users’ adoption in online social networks
    Marin, Ericsson,  Guo, Ruocheng, and Shakarian, Paulo
    In International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation 2017
  2. Understanding and forecasting lifecycle events in information cascades
    Sarkar, Soumajyoti,  Guo, Ruocheng, and Shakarian, Paulo
    Social Network Analysis and Mining 2017

2016

  1. Toward early and order-of-magnitude cascade prediction in social networks
    Guo, Ruocheng, Shaabani, Elham, Bhatnagar, Abhinav, and Shakarian, Paulo
    Social Network Analysis and Mining 2016
  2. A comparison of methods for cascade prediction
    Guo, Ruocheng, and Shakarian, Paulo
    In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2016
  3. An empirical evaluation of social influence metrics
    Kumar, Nikhil,  Guo, Ruocheng, Aleali, Ashkan, and Shakarian, Paulo
    In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2016

2015

  1. Toward order-of-magnitude cascade prediction
    Guo, Ruocheng, Shaabani, Elham, Bhatnagar, Abhinav, and Shakarian, Paulo
    In Proceedings of the 2015 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining 2015 2015
  2. Diffusion in social networks
    Shakarian, Paulo, Bhatnagar, Abhivav, Aleali, Ashkan, Shaabani, Elham,  Guo, Ruocheng, and others,
    2015