Demo Data from EDBT 2026 / reviewers in the wild / expert
Chenchen Shou
dblp:399/7311
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0006-7113-0357ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 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 networks
1 paper |
Optical networks · 50% Datacenter networks · 50% | |
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Optical networks › optical switching
optical circuit switching |
0.9 | 1 | 2025 | InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers · SIGCOMM 2025 |
Machine learning › Efficient and distributed learning
distributed training |
0.3 | 1 | 2025 | InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers · SIGCOMM 2025 |
Methods — techniques the papers use, named apart from their topics
optical circuit switching transceivers · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching TransceiversabstractScaling Large Language Model (LLM) training relies on multidimensional parallelism, where High-Bandwidth Domains (HBDs) are critical for communication-intensive parallelism like Tensor Parallelism. However, existing HBD architectures face fundamental limitations in scalability, cost, and fault resiliency: switch-centric HBDs (e.g., NVL-72) incur prohibitive scaling costs, while GPU-centric HBDs (e.g., TPUv3/Dojo) suffer from severe fault propagation. Switch-GPU hybrid HBDs (e.g., TPUv4) take a middle-ground approach, but the fault explosion radius remains large. Chenchen Shou, Guyue Liu, Hao Nie, Huaiyu Meng, Yu Zhou 0008, Wenqing Lv, Yelong Xu, Yuanwei Lu, Yanbo Yu, Yichen Shen 0001, Yibo Zhu 0001, Daxin Jiang |
SIGCOMM | 1 |