EDBT 2026 Demo / reviewers in the wild / expert
Junwen Si
dblp:413/3376
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0006-0981-4563ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Software engineering, systems software and programming languages · 1 · 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 graphics and multimedia
1 paper |
Rendering · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Hardware accelerators and domain-specific architectures · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering › gaussian splatting
3d gaussian splatting |
0.9 | 1 | 2025 | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing · MICRO 2025 |
Rendering
neural rendering |
0.9 | 1 | 2025 | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing · MICRO 2025 |
Hardware accelerators and domain-specific architectures › neural rendering accelerator
3d gaussian splatting accelerator |
0.9 | 1 | 2025 | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing · MICRO 2025 |
Hardware accelerators and domain-specific architectures
neural rendering accelerator |
0.9 | 1 | 2025 | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing · MICRO 2025 |
Methods — techniques the papers use, named apart from their topics
cross-stage conditional processing · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | APEX: Integer-only Non-linear Function Approximation for Efficient Cross-Modal Inference
Peihuan Ni, Zitao Mo, Tielong Liu, Hongli Wen, Minnan Pei, Junwen Si, Weifan Guan, Peisong Wang 0001, Qinghao Hu 0001, Gang Li 0015, Jian Cheng 0001 |
DATE | 7 |
| 2025 | GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processingabstract3D Gaussian Splatting (3DGS) has emerged as a leading neural rendering technique for high-fidelity view synthesis, prompting the development of dedicated 3DGS accelerators for resource-constrained platforms.The conventional decoupled preprocessing-rendering dataflow in existing accelerators has two major limitations: 1) a Minnan Pei, Gang Li 0015, Junwen Si, Zitao Mo, Peisong Wang 0001, Zhuoran Song, Xiaoyao Liang, Jian Cheng 0001 |
MICRO | 3 |