Pu Jiao

Orcid: 0000-0001-6829-1463

According to our database1, Pu Jiao authored at least 11 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation.
CoRR, February, 2026

2025
Design of public space guide system based on augmented reality technology.
Discov. Artif. Intell., December, 2025

Time-varying Vector Field Compression with Preserved Critical Point Trajectories.
CoRR, October, 2025

QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
Proc. VLDB Endow., April, 2025

Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression.
Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow., 2022


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