VLDB 2026 Research / reviewers in the wild / expert
Atharva Sharma
dblp:205/2847
· DBLP profile ↗
3ranked-venue papers
2as first author
1since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 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
1 paper |
Parallel and multicore computing · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing
concurrent data structures |
1.0 | 1 | 2026 | UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic Trees · PPoPP 2026 |
Algorithms and data structures › dynamic algorithms
dynamic trees |
1.0 | 1 | 2026 | UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic Trees · PPoPP 2026 |
Methods — techniques the papers use, named apart from their topics
link-cut trees · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | UFO Trees: Practical and Provably-Efficient Parallel Batch-Dynamic TreesabstractThe dynamic trees problem is to maintain a tree under edge updates while supporting queries like connectivity queries or path queries. Despite the first data structure for this fundamental problem---the link-cut tree---being invented 40 years ago, our experiments reveal that they are still the fastest sequential data structure for the problem. However, link-cut trees cannot support parallel batch-dynamic updates and have limitations on the kinds of queries they support. Quinten De Man, Atharva Sharma, Kishen N. Gowda, Laxman Dhulipala |
PPoPP | 2 |
| 2018 | Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks
Atharva Sharma, Xiuwen Liu 0001 |
Neural Networks | 1 |
| 2017 | A patch-based convolutional neural network for remote sensing image classification
Atharva Sharma, Xiuwen Liu 0001 |
Neural Networks | 1 |