Demo Data from EDBT 2026 / reviewers in the wild / expert
Yiyao Sheng
dblp:371/4457
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Distributed systems · 52% High-performance computing · 48% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems › fault tolerance
checkpointing |
0.9 | 1 | 2025 | ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development · NSDI 2025 |
Distributed systems
distributed coordination |
0.8 | 1 | 2024 | MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs · NSDI 2024 |
High-performance computing
fault tolerance at scale |
0.8 | 1 | 2024 | MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs · NSDI 2024 |
High-performance computing › large-scale training
large-scale training systems |
0.8 | 1 | 2024 | MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs · NSDI 2024 |
Machine learning › Efficient and distributed learning › distributed training
distributed training systems |
0.3 | 1 | 2025 | ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development · NSDI 2025 |
Methods — techniques the papers use, named apart from their topics
pipeline parallelism · 0.8mixed precision training · 0.8data parallelism · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development
Borui Wan, Mingji Han, Yiyao Sheng, Yanghua Peng, Haibin Lin, Mofan Zhang, Zhichao Lai, Menghan Yu, Junda Zhang, Zuquan Song, Xin Liu 0086, Chuan Wu 0001 |
NSDI | 3 |
| 2024 | MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang 0001, Yangrui Chen, Zhi Zhang 0005, Yanghua Peng, Xiang Li 0067, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Zhang Zhang 0003, Pengfei Nie, Leqi Zou, Sida Zhao, Zherui Liu, Xiaoying Jia 0001, Jianxi Ye, Xin Jin 0008, Xin Liu 0086 |
NSDI | 18 |