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Sheng Di — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sheng Di
6
papers ·
127
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Full-State Quantum Circuit Simulation by Using Data Compression
2019 · 127 citations
PackKV: Reducing KV Cache Memory Footprint through LLM-Aware Lossy Compression
2025
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
2025
Systematic Evaluation of Optimization Techniques for Long-Context Language Models
2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
2025
Topics
Federated Learning
Data Heterogeneity
In-Context Learning
cache
compression
cs.PF
Communication
Optimization
Evaluation
Model Architecture