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researcher

Sheng Di

90 papers hereh-index 355.1k citations239 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author86

Across the 87 of 90 papers where every author was matched, so the position is known.

fields
  • cs.DC53
  • cs.LG11
  • cs.IT6
  • cs.AI3
  • cs.DB3
  • cs.PF3
same name
  • Sheng Di — 2 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedSignificantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

296 citations · 1k across the 84 of their papers we have counts for

collaborators
Showing cs.DBShow all

3 papers · 1 filter

cs.DB2026

Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression

Xuan Wu, Sheng Di, Tripti Agarwal +3

Error-controlled lossy compressors have been widely used in scientific applications to reduce the unprecedented size of scientific data while keeping data distortion within a user-…

cs.DB2024★ 1 cited

QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression

Jinyang Liu, Pu Jiao, Kai Zhao +3

Error-bounded lossy compression has been widely adopted in many scientific domains because it can address the challenges in storing, transferring, and analyzing unprecedented amoun…

cs.DB2021★ 1 cited

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Sian Jin, Sheng Di, Jiannan Tian +3

Error-bounded lossy compression is one of the most effective techniques for scientific data reduction. However, the traditional trial-and-error approach used to configure lossy com…

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