Xin Liang, Ph.D.

    Calculated based on number of publications stored in Pure and citations from Scopus
    20152025

    Research activity per year

    Personal profile

    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):

    • SDG 7 - Affordable and Clean Energy
    • SDG 13 - Climate Action

    Education/Academic qualification

    Doctor of Philosophy, University Of California - Riverside

    2019

    Bachelor of Science in Computer Science, Peking University

    2014

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    Collaborations and top research areas from the last five years

    Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
    • MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors

      Li, Y., Liang, X., Wang, B., Qiu, Y., Yan, L. & Guo, H., 2025, In: IEEE Transactions on Visualization and Computer Graphics. 31, 1, p. 130-140 11 p.

      Research output: Contribution to journalArticlepeer-review

      Open Access
      1 Scopus citations
    • A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation

      Vadnerkar, K. M., Eze, E. A., Gautam, R., Han, D., Liang, X. & Shu, T., 2024, Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024. Ding, W., Lu, C.-T., Wang, F., Di, L., Wu, K., Huan, J., Nambiar, R., Li, J., Ilievski, F., Baeza-Yates, R. & Hu, X. (eds.). p. 4248-4256 9 p. (Proceedings - 2024 IEEE International Conference on Big Data, BigData 2024).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • A General Framework for Error-controlled Unstructured Scientific Data Compression

      Gong, Q., Wang, Z., Reshniak, V., Liang, X., Chen, J., Liu, Q., Athawale, T. M., Ju, Y., Rangarajan, A., Ranka, S., Podhorszki, N., Archibald, R. & Klasky, S., 2024, Proceedings - 2024 IEEE 20th International Conference on e-Science, e-Science 2024. (Proceedings - 2024 IEEE 20th International Conference on e-Science, e-Science 2024).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      1 Scopus citations
    • A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error

      Ren, C., Liang, X. & Guo, H., Jun 2024, In: Computer Graphics Forum. 43, 3, e15097.

      Research output: Contribution to journalArticlepeer-review

      Open Access
      1 Scopus citations
    • CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction

      Jian, Z., Di, S., Liu, J., Zhao, K., Liang, X., Xu, H., Underwood, R., Wu, S., Huang, J., Chen, Z. & Cappello, F., 2024, Proceedings - 2024 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2024. p. 417-429 13 p. (Proceedings - 2024 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2024).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      4 Scopus citations