Dr. GUO Ruocheng (郭若城)

Research Output

  1. 2022
  2. Published

    Accurate identification of bacteriophages from metagenomic data using Transformer

    Shang, J., Tang, X., Guo, R. & Sun, Y., Jul 2022, In: Briefings in Bioinformatics. 23, 4, bbac258.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  3. Published

    Causal mediation analysis with hidden confounders

    Cheng, L., Guo, R. & Liu, H., Feb 2022, WSDM'22 - Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 113-122 (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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  4. Published

    Estimating causal effects of multi-aspect online reviews with multi-modal proxies

    Cheng, L., Guo, R. & Liu, H., Feb 2022, WSDM'22 - Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 103-112 (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 1
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  5. Published

    Graph few-shot class-incremental learning

    Tan, Z., Ding, K., Guo, R. & Liu, H., Feb 2022, WSDM'22 - Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 987-996 (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 2
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  6. Published

    Learning fair node representations with graph counterfactual fairness

    Ma, J., Guo, R., Wan, M., Yang, L., Zhang, A. & Li, J., Feb 2022, WSDM'22 - Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining. ACM, p. 695-703 (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 2
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  7. 2021
  8. Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks

    CHENG, L., GUO, R., SILVA, Y. N., HALL, D. & LIU, H., Mar 2021, In: ACM/IMS Transactions on Data Science. 2, 2, 23 p., 8.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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  9. IGNITE: A minimax game toward learning individual treatment effects from networked observational data

    Guo, R., Li, J., Li, Y., Selçuk Candan, K., Raglin, A. & Liu, H., Jan 2021, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20). International Joint Conferences on Artificial Intelligence, p. 4534-4540 (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 5
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  10. Causal Understanding of Fake News Dissemination on Social Media

    Cheng, L., Guo, R., Shu, K. & Liu, H., 2021, KDD '21 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery, p. 148-157 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 7
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  11. Published

    CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods

    Sheth, P., Jeong, U., Guo, R., Liu, H. & Selçuk Candan, K., 2021, CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, Vol. New York. p. 4789-4793 (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 1
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  12. Deconfounding with Networked Observational Data in a Dynamic Environment

    Ma, J., Guo, R., Chen, C., Zhang, A. & Li, J., 2021, WSDM '21 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. New York: Association for Computing Machinery, Inc, p. 166-174 9 p. (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 2
    Check@CityULib
  13. Long-Term Effect Estimation with Surrogate Representation

    Cheng, L., Guo, R. & Liu, H., 2021, WSDM '21 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. New York: Association for Computing Machinery, Inc, p. 274-282 9 p. (WSDM - Proceedings of the ACM International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Check@CityULib
  14. 2020
  15. A Survey of Learning Causality with Data: Problems and Methods

    GUO, R., CHENG, L., LI, J., HAHN, P. R. & LIU, H., Sep 2020, In: ACM Computing Surveys. 53, 4, 75.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 67
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  16. Debiasing Grid-based Product Search in E-commerce

    Guo, R., Zhao, X., Henderson, A., Hong, L. & Liu, H., Aug 2020, KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, p. 2852–2860 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 7
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  17. Measuring time-constrained influence to predict adoption in online social networks

    MARIN, E., GUO, R. & SHAKARIAN, P., Aug 2020, In: ACM Transactions on Social Computing. 3, 3, 13.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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

    Moraffah, R., Karami, M., Guo, R., Raglin, A. & Liu, H., Jun 2020, In: SIGKDD Explorations. 22, 1, p. 18-33

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journalpeer-review

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  19. Counterfactual evaluation of treatment assignment functions with networked observational data

    Guo, R., Li, J. & Liu, H., May 2020, Proceedings of the 2020 SIAM International Conference on Data Mining (SDM). SIAM, p. 271-279 (Proceedings of the SIAM International Conference on Data Mining, SDM).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 6
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  20. Representation learning for imbalanced cross-domain classification

    Cheng, L., Guo, R., Candan, K. S. & Liu, H., May 2020, Proceedings of the 2020 SIAM International Conference on Data Mining (SDM). SIAM, p. 478-486 9 p. (Proceedings of the SIAM International Conference on Data Mining, SDM).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 4
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  21. Learning individual causal effects from networked observational data

    Guo, R., Li, J. & Liu, H., Jan 2020, WSDM' 20: Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 232-240 9 p. (WSDM - Proceedings of the International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 16
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  22. Privacy-aware recommendation with private-attribute protection using adversarial learning

    Beigi, G., Mosallanezhad, A., Guo, R., Alvari, H., Nou, A. & Liu, H., Jan 2020, WSDM' 20: Proceedings of the 13th International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 34-42 9 p. (WSDM - Proceedings of the International Conference on Web Search and Data Mining).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 14
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  23. A practical data repository for causal learning with big data

    Cheng, L., Guo, R., Moraffah, R., Candan, K. S., Raglin, A. & Liu, H., 2020, Benchmarking, Measuring, and Optimizing: Second BenchCouncil International Symposium, Bench 2019, Revised Selected Papers. 1 ed. Springer, Cham, p. 234-248 (Lecture Notes in Computer Science; vol. 12093).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

    Scopus citations: 2
    Check@CityULib
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