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Chen Xu

20102025

Research activity per year

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Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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Collaborations and top research areas from the last five years

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  • Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework

    Beedkar, K., Bertrand, A., Gavriilidis, H., Fonseca, A., Kaoudi, Z., Liu, M., Markl, V., Petersen, J., Porto, F., Ribeiro, V., Sejer Pedersen, M., Tavares, L., Vargiamis, M. & Xu, C., 22 Jun 2025, SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. Deshpande, A., Aboulnaga, A., Salimi, B., Chandramouli, B., Howe, B., Loo, B. T., Glavic, B., Curino, C., Zhe Wang, D., Suciu, D., Abadi, D., Srivastava, D., Wu, E., Nawab, F., Ilyas, I., Naughton, J., Rogers, J., Patel, J., Arulraj, J., Yang, J., Echihabi, K., Ross, K., Daudjee, K., Lakshmanan, L., Garofalakis, M., Riedewald, M., Mokbel, M., Ouzzani, M., Kennedy, O., Kennedy, O., Papotti, P., Alvaro, P., Bailis, P., Miller, R., Roy, S. B., Melnik, S., Idreos, S., Roy, S., Rekatsinas, T., Leis, V., Zhou, W., Gatterbauer, W. & Ives, Z. (eds.). Association for Computing Machinery, p. 35-38 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

    Open Access
    2   Link opens in a new tab Scopus citations

  • Context-Augmented Contrastive Learning Method for Session-based Recommendation

    Sun, X., Gao, X., Huang, S., Zhu, H., Xu, C., Chao, P. & Kong, C., 2025, Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Proceedings. Sheng, Q. Z., Zhang, X., Wu, J., Ma, C., Dobbie, G., Jiang, J., Zhang, W. E., Manolopoulos, Y. & Mansoor, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 19-33 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15392 LNAI).

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

  • Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion

    Pan, Q., Zhi, J., Zhang, C., Xu, C., Zhang, Z., Shao, A., Bao, G., Cui, Q., Chen, X. & Zhou, A., 2025, Proceedings - 2025 IEEE 41st International Conference on Data Engineering, ICDE 2025. IEEE Computer Society, p. 3397-3410 14 p. (Proceedings - International Conference on Data Engineering).

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

  • Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models

    Chen, Z., Zhang, C., Xu, C., Zhang, Z., Wang, J., Qian, W. & Zhou, A., 22 Jun 2025, SIGMOD-Companion 2025 - Companion of the 2025 International Conference on Management of Data. Deshpande, A., Aboulnaga, A., Salimi, B., Chandramouli, B., Howe, B., Loo, B. T., Glavic, B., Curino, C., Zhe Wang, D., Suciu, D., Abadi, D., Srivastava, D., Wu, E., Nawab, F., Ilyas, I., Naughton, J., Rogers, J., Patel, J., Arulraj, J., Yang, J., Echihabi, K., Ross, K., Daudjee, K., Lakshmanan, L., Garofalakis, M., Riedewald, M., Mokbel, M., Ouzzani, M., Kennedy, O., Kennedy, O., Papotti, P., Alvaro, P., Bailis, P., Miller, R., Roy, S. B., Melnik, S., Idreos, S., Roy, S., Rekatsinas, T., Leis, V., Zhou, W., Gatterbauer, W. & Ives, Z. (eds.). Association for Computing Machinery, p. 350-363 14 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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

  • Accelerating Synchronous Distributed Data Parallel Training with Small Batch Sizes

    Sun, Y., Bi, N., Xu, C., Niu, Y. & Zhou, H., 2024, Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Proceedings. Onizuka, M., Xiao, C., Lee, J.-G., Tong, Y., Ishikawa, Y., Lu, K., Amer-Yahia, S. & Jagadish, H. V. (eds.). Springer Science and Business Media Deutschland GmbH, p. 503-513 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14854 LNCS).

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

View all 54 Research outputs