Calculated based on number of publications stored in Pure and citations from Scopus
20172021

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  • PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma

    Xu, L., Asaoka, R., Kiwaki, T., Murata, H., Fujino, Y. & Yamanishi, K., 14 Aug 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3826-3834 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

  • Orderly subspace clustering

    Wang, J., Suzuki, A., Xu, L., Tian, F., Yang, L. & Yamanishi, K., 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. AAAI press, p. 5264-5272 9 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 / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    3 Citations (Scopus)
  • On exploring semantic meanings of links for embedding social networks

    Xu, L., Wei, X., Cao, J. & Yu, P. S., 10 Apr 2018, The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018. Association for Computing Machinery, Inc, p. 479-488 10 p. (The Web Conference 2018 - Proceedings of the World Wide Web Conference, WWW 2018).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    Open Access
    19 Citations (Scopus)
  • Glaucoma progression prediction using retinal thickness via latent space linear regression

    Zheng, Y., Wang, J., Xu, L., Murata, H., Yamanishi, K., Kiwaki, T. & Asaoka, R., 25 Jul 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2278-2286 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    2 Citations (Scopus)
  • Generalization Error Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic

    Suzuki, A., Nitanda, A., Wang, J., Xu, L., Yamanishi, K. & Cavazza, M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 1243-1255 13 p. (Advances in Neural Information Processing Systems; vol. 2).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

  • Generalization Error Bound for Hyperbolic Ordinal Embedding

    Suzuki, A., Nitanda, A., Wang, J. J., Xu, L., Yamanishi, K. & Cavazza, M., 2021, Proceedings of the 38th International Conference on Machine Learning. p. 10011-10021 11 p.

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

  • Discovering latent class labels for multi-label learning

    Huang, J., Xu, L., Wang, J., Feng, L. & Yamanishi, K., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 3058-3064 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    4 Citations (Scopus)
  • Cross view link prediction by learning noise-resilient representation consensus

    Wei, X., Xu, L., Cao, B. & Yu, P. S., 2017, 26th International World Wide Web Conference, WWW 2017. International World Wide Web Conferences Steering Committee, p. 1611-1619 9 p. 3052575. (26th International World Wide Web Conference, WWW 2017).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    48 Citations (Scopus)
  • Attributed subspace clustering

    Wang, J., Xu, L., Tian, F., Suzuki, A., Zhang, C. & Yamanishi, K., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 3719-3725 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

    Open Access
    2 Citations (Scopus)