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Jiaqi Ma

  • 13 Conference contribution
  • 7 Conference article
  • 3 Article
  • 2 Paper
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  • 2024

    Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

    Liu, Y., Gautam, S., Ma, J. & Lakkaraju, H., 2024, Long Papers. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 3603-3620 18 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2023

    A Metadata-Driven Approach to Understand Graph Neural Networks

    Li, T. W., Mei, Q. & Ma, J., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)

    Ma, J., Zhu, J., Dong, Y., Koutra, D., He, J., Mei, Q., Tsitsulin, A., Zhang, X. & Zitnik, M., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5870-5871 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    Adversarial attack on graph neural networks as an influence maximization problem

    Ma, J., Deng, J. & Mei, Q., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 675-685 11 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Fast learning of MNL model from general partial rankings with application to network formation modeling

    Ma, J., Zhang, X. & Mei, Q., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, p. 715-725 11 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    GReS: Workshop on graph neural networks for recommendation and search

    Thonet, T., Clinchant, S., Lassance, C., Isufi, E., Ma, J., Xie, Y., Renders, J. M. & Bronstein, M., Sep 13 2021, RecSys 2021 - 15th ACM Conference on Recommender Systems. Association for Computing Machinery, p. 780-782 3 p. (RecSys 2021 - 15th ACM Conference on Recommender Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Subgroup Generalization and Fairness of Graph Neural Networks

    Ma, J., Deng, J. & Mei, Q., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 1048-1061 14 p. (Advances in Neural Information Processing Systems; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    Off-policy Learning in Two-stage Recommender Systems

    Ma, J., Zhao, Z., Yi, X., Yang, J., Chen, M., Tang, J., Hong, L. & Chi, E. H., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 463-473 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2019

    SNR: Sub-network routing for flexible parameter sharing in multi-task learning

    Ma, J., Zhao, Z., Chen, J., Li, A., Hong, L. & Chi, E. H., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. American Association for Artificial Intelligence (AAAI) Press, p. 216-223 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2018

    Modeling task relationships in multi-task learning with multi-gate mixture-of-experts

    Ma, J., Zhao, Z., Yi, X., Chen, J., Hong, L. & Chi, E. H., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1930-1939 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2017

    DeepCas: An end-to-end predictor of information cascades

    Li, C., Ma, J., Guo, X. & Mei, Q., 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 577-586 10 p. 3052643. (26th International World Wide Web Conference, WWW 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2016

    Joint community and structural hole spanner detection via harmonic modularity

    He, L., Lu, C. T., Ma, J., Cao, J., Shen, L. & Yu, P. S., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 875-884 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Learning cascaded influence under partial monitoring

    Zhang, J., Ma, J. & Tang, J., Nov 21 2016, Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Kumar, R., Caverlee, J. & Tong, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 255-262 8 p. 7752243. (Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution