Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tianyang Jiang
dblp:291/3641
· DBLP profile ↗
4ranked-venue papers
3as first author
4since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 4 · 3 first-author · 4 since 2021Databases, data management, data science and information retrieval · 2 · 2 first-author · 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 architecture, parallel and distributed computing, and storage systems
4 papers |
Storage systems · 80% Memory systems · 12% Distributed systems · 7% | |
| Databases, data mining, and information retrieval
1 paper |
Transaction processing and concurrency control · 100% |
Topics — the 10 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
storage reliability |
1.2 | 2 | 2026 | Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA) · HPCA 2025 Nemo: A Low-Write-Amplification Cache for Tiny Objects on Log-Structured Flash Devices · ASPLOS (2) 2026 |
Memory systems
cache design |
1.0 | 1 | 2026 | Nemo: A Low-Write-Amplification Cache for Tiny Objects on Log-Structured Flash Devices · ASPLOS (2) 2026 |
Storage systems
flash and SSD |
1.0 | 1 | 2026 | Nemo: A Low-Write-Amplification Cache for Tiny Objects on Log-Structured Flash Devices · ASPLOS (2) 2026 |
Storage systems › flash and SSD
write amplification reduction |
1.0 | 1 | 2026 | Nemo: A Low-Write-Amplification Cache for Tiny Objects on Log-Structured Flash Devices · ASPLOS (2) 2026 |
Storage systems › flash and SSD
solid-state drive |
0.9 | 1 | 2025 | Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA) · HPCA 2025 |
Storage systems › flash and SSD › solid-state drive › zoned namespace SSD
ZNS RAID |
0.9 | 1 | 2025 | Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA) · HPCA 2025 |
Storage systems › flash and SSD › solid-state drive
zoned namespace SSD |
0.9 | 1 | 2025 | Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA) · HPCA 2025 |
Distributed systems › distributed database
distributed transactions |
0.6 | 1 | 2022 | Aurogon: Taming Aborts in All Phases for Distributed In-Memory Transactions · FAST 2022 |
Storage systems › flash and SSD
SSD array |
0.5 | 1 | 2021 | FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays · FAST 2021 |
Storage systems › storage reliability
RAID |
0.1 | 1 | 2021 | FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays · FAST 2021 |
Methods — techniques the papers use, named apart from their topics
tiny object caching · 1.0zone random write area · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Nemo: A Low-Write-Amplification Cache for Tiny Objects on Log-Structured Flash Devices
Xufeng Yang, Jingxin Hu, Congming Gao, Tianyang Jiang, Linbo Long, Yina Lv, Jiwu Shu |
ASPLOS (2) | 6 |
| 2025 | Zebra: Efficient Redundant Array of Zoned Namespace SSDs Enabled by Zone Random Write Area (ZRWA)abstractZoned Namespace (ZNS) SSDs have emerged as a promising solution for eliminating device-level garbage collection and achieving predictable performance through the zone abstraction, which supports append-only writes. However, integrating ZNS SSDs into RAID configurations presents challenges, particularly concerning partial parity updates (PPUs) due to the no-overwrite property of ZNS SSDs. Existing solutions introduce dedicated metadata zones to manage PPUs, but these zones become performance bottlenecks, especially under high PPU workloads.In this paper, we introduce Zebra, a novel architecture for ZNS RAID that leverages the Zone Random Write Area (ZRWA) feature of modern ZNS SSDs. Our key insight is that the SSD’s write buffer (or ZRWA) in front of each zone is ideal for PPUs that exhibit a repeated sequential overwrite I/O pattern. By ensuring that the parity chunk fits within the ZRWA window, Zebra enables efficient PPUs within the ZRWA. Combined with a set of techniques, Zebra ensures both high performance and reliability. We evaluate Zebra on both large-zone and small-zone ZNS SSDs, two typical ZNS models. Our experiments with micro and application benchmarks show that Zebra improves the throughput by 1.1×-4.2× compared to RAIZN, a state-of-the-art ZNS RAID system. Tianyang Jiang, Guangyan Zhang, Xiaojian Liao |
HPCA | 1 |
| 2022 | Aurogon: Taming Aborts in All Phases for Distributed In-Memory Transactions
Tianyang Jiang, Guangyan Zhang, Zhiyue Li |
FAST | 1 |
| 2021 | FusionRAID: Achieving Consistent Low Latency for Commodity SSD Arrays
Tianyang Jiang, Guangyan Zhang, Zican Huang, Xiaosong Ma, Junyu Wei, Zhiyue Li |
FAST | 1 |