Projects and Grants 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):
Education/Academic qualification
Doctor of Philosophy, University Of California - Riverside
2019
Bachelor of Science in Computer Science, Peking University
2014
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Dive into the research topics where Xin Liang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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.
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RII Track-4: NSF: Scalable MPI with Adaptive Compression for GPU-based Computing Systems
Liang, X. (PI)
2/1/24 → 1/31/26
Project: Research project
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Collaborative Research: OAC Core: Topology-Aware Data Compression for Scientific Analysis and Visualization
Liang, X. (PI)
9/1/23 → 8/31/26
Project: Research project
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Collaborative Research: Elements: ProDM: Developing A Unified Progressive Data Management Library for Exascale Computational Science
Liang, X. (PI)
8/1/23 → 7/31/26
Project: Research project
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Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure
Liang, X. (PI)
7/1/23 → 9/30/25
Project: Research project
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CRII: OAC: Enabling Quantities-of-Interest Error Control for Trust-Driven Lossy Compression
Liang, X. (PI)
7/1/23 → 3/31/25
Project: Research project
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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 journal › Article › peer-review
Open Access1 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 proceeding › Conference contribution › peer-review
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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 proceeding › Conference contribution › peer-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 journal › Article › peer-review
Open Access1 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 proceeding › Conference contribution › peer-review
4 Scopus citations