Calculated based on number of publications stored in Pure and citations from Scopus
20092022

Research activity per year

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  • 2022

    Modeling User Behavior with Graph Convolution for Personalized Product Search

    Fan, L., Li, Q., Liu, B., Wu, X. M., Zhang, X., Lv, F., Lin, G., Li, S., Jin, T. & Yang, K., 25 Apr 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 203-212 10 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

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

    Open Access
    12 Citations (Scopus)
  • 2021

    Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images

    Liu, B., Zhan, L. M. & Wu, X. M., Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 210-220 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12902 LNCS).

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

    35 Citations (Scopus)
  • Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs

    Li, Q., Zhang, X., Liu, H., Dai, Q. & Wu, X. M., 14 Aug 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 953-963 11 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

    8 Citations (Scopus)
  • Effectiveness of Pre-training for Few-shot Intent Classification

    Zhang, H., Zhang, Y., Zhan, L. M., Chen, J., Shi, G., Wu, X. M. & Lam, A. Y. S., Sept 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M.-F., Huang, X., Specia, L. & Yih, S.W.-T. (eds.). Association for Computational Linguistics (ACL), p. 1114-1120 7 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

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

    31 Citations (Scopus)
  • Embedding-based Product Retrieval in Taobao Search

    Li, S., Lv, F., Jin, T., Lin, G., Yang, K., Zeng, X., Wu, X. M. & Ma, Q., 14 Aug 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 3181-3189 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

    46 Citations (Scopus)
  • Out-of-scope intent detection with self-supervision and discriminative training

    Zhan, L. M., Liang, H., Liu, B., Fan, L., Wu, X. M. & Lam, A. Y. S., Aug 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3521-3532 12 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

    38 Citations (Scopus)
  • Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

    Shi, G., Chen, J., Zhang, W., Zhan, L. M. & Wu, X. M., Nov 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. 6747-6761 15 p. (Advances in Neural Information Processing Systems; vol. 9).

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

    62 Citations (Scopus)
  • Slake: A semantically-labeled knowledge-enhanced dataset for medical visual question answering

    Liu, B., Zhan, L. M., Xu, L., Ma, L., Yang, Y. & Wu, X. M., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 1650-1654 5 p. 9434010. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

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

    70 Citations (Scopus)
  • 2020

    A closer look at the training strategy for modern meta-learning

    Chen, J., Wu, X. M., Li, Y., Li, Q., Zhan, L. M. & Chung, F. L., Dec 2020, 34th Conference on Neural Information Processing Systems, NeurIPS 2020. Vol. 2020-December. p. 1-11 (Advances in Neural Information Processing Systems).

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

    Open Access
    24 Citations (Scopus)
  • M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems

    Wang, M., Lin, Y., Lin, G., Yang, K. & Wu, X. M., 23 Aug 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2349-2358 10 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

    50 Citations (Scopus)
  • Medical Visual Question Answering via Conditional Reasoning

    Zhan, L. M., Liu, B., Fan, L., Chen, J. & Wu, X. M., 12 Oct 2020, MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 2345-2354 10 p. (MM 2020 - Proceedings of the 28th ACM International Conference on Multimedia).

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

    Open Access
    80 Citations (Scopus)
  • Reconstructing Capsule Networks for Zero-shot Intent Classification

    Liu, H., Zhang, X., Fan, L., Fu, X., Li, Q., Wu, X. M. & Lam, A. Y. S., 1 Jan 2020, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 4799-4809 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

    Open Access
    35 Citations (Scopus)
  • Variational metric scaling for metric-based meta-learning

    Chen, J., Zhan, L. M., Wu, X. M. & Chung, F. L., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 3478-3485 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

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

    32 Citations (Scopus)
  • 2019

    Attributed graph clustering via adaptive graph convolution

    Zhang, X., Liu, H., Li, Q. & Wu, X. M., 1 Jan 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 4327-4333 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
    164 Citations (Scopus)
  • Label efficient semi-supervised learning via graph filtering

    Li, Q., Wu, X. M., Liu, H., Zhang, X. & Guan, Z., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 9574-9583 10 p. 8954122. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

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

    Open Access
    139 Citations (Scopus)
  • 2018

    Deeper insights into graph convolutional networks for semi-supervised learning

    Li, Q., Han, Z. & Wu, X. M., 1 Jan 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 3538-3545 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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

    1819 Citations (Scopus)
  • 2015

    New insights into Laplacian similarity search

    Wu, X., Li, Z. & Chang, S. F., 14 Oct 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, Vol. 07-12-June-2015. p. 1949-1957 9 p. 7298805

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

    4 Citations (Scopus)
  • 2014

    Locally linear hashing for extracting non-linear manifolds

    Irie, G., Li, Z., Wu, X. & Chang, S. F., 1 Jan 2014, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, p. 2123-2130 8 p. 6909669

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

    81 Citations (Scopus)
  • 2012

    Learning with partially absorbing random walks

    Wu, X., Li, Z., So, A. M. C., Wright, J. & Chang, S. F., 1 Dec 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. Vol. 4. p. 3077-3085 9 p.

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

    106 Citations (Scopus)
  • Segmentation using superpixels: A bipartite graph partitioning approach

    Li, Z., Wu, X. & Chang, S. F., 1 Oct 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 789-796 8 p. 6247750

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

    285 Citations (Scopus)
  • 2009

    Fast graph laplacian regularized kernel learning via semidefinite- quadratic-linear programming

    Wu, X., So, A. M. C., Li, Z. & Li, S. Y. R., 1 Dec 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 1964-1972 9 p.

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

    17 Citations (Scopus)