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Sheng Di

Identifiers

  • name variant Sheng Di 0.60 · backfill

Papers (16)

  1. ReCoVer: Resilient LLM Pre-Training System via Fault-Tolerant Collective and Versatile Workload cs.DC · 2026 · author #7
  2. Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 cs.DC · 2026 · author #2
  3. SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cs.DC · 2026 · author #3
  4. Preserving Clusters in Error-Bounded Lossy Compression of Particle Data cs.LG · 2026 · author #2
  5. SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs cs.DC · 2026 · author #8
  6. Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cs.AI · 2025 · author #4
  7. DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression cs.CV · 2019 · author #2
  8. Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression quant-ph · 2018 · author #2
  9. Amplitude-Aware Lossy Compression for Quantum Circuit Simulation quant-ph · 2018 · author #2
  10. Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP cs.DC · 2018 · author #2
  11. Fixed-PSNR Lossy Compression for Scientific Data cs.IT · 2018 · author #2
  12. Improving Performance of Iterative Methods by Lossy Checkponting cs.DC · 2018 · author #2
  13. In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations cs.DC · 2017 · author #2
  14. Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets cs.IT · 2017 · author #2
  15. Z-checker: A Framework for Assessing Lossy Compression of Scientific Data cs.OH · 2017 · author #2
  16. Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization cs.IT · 2017 · author #2

Mentions

  • 2605.11215 #7 · arxiv_oai · confidence 0.70 Sheng Di
  • 2603.00357 #8 · arxiv_oai · confidence 0.70 Sheng Di

Frequent Coauthors