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Daniel Kang
- Author ID
- u1378
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Stanford University
- Pagerank
- 0.18392875
- Overall Rank
- 329 | 98.49%
- Paper Count
- 22
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing all 22 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 273 |
NoScope: Optimizing Neural Network Queries over Video at Scale |
2017 |
VLDB |
60 |
0.00022518449 |
| 541 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
57 |
0.00016627384 |
| 1,626 |
Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine |
2019 |
CIDR |
12 |
0.00010023166 |
| 2,777 |
Approximate Selection with Guarantees using Proxies |
2020 |
VLDB |
25 |
8.0101016e-05 |
| 3,224 |
Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics |
2021 |
VLDB |
15 |
7.503511e-05 |
| 3,415 |
A Demonstration of Willump: A Statistically-Aware End-to-end Optimizer for Machine Learning Inference |
2020 |
VLDB |
8 |
7.3054307e-05 |
| 3,629 |
TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data |
2022 |
SIGMOD |
16 |
7.1286458e-05 |
| 3,747 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
22 |
7.0351475e-05 |
| 3,782 |
Optimizing Video Analytics with Declarative Model Relationships |
2023 |
VLDB |
11 |
7.0029633e-05 |
| 4,284 |
VIVA: An End-to-End System for Interactive Video Analytics |
2022 |
CIDR |
9 |
6.6710929e-05 |
| 6,564 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
2 |
5.7283392e-05 |
| 7,416 |
Accelerating Aggregation Queries on Unstructured Streams of Data |
2023 |
VLDB |
10 |
5.5159866e-05 |
| 7,745 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
3 |
5.4457135e-05 |
| 8,311 |
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines |
2026 |
VLDB |
2 |
5.3410298e-05 |
| 8,368 |
LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data |
2025 |
VLDB |
4 |
5.3292904e-05 |
| 9,251 |
Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors |
2026 |
CIDR |
1 |
5.1860131e-05 |
| 10,311 |
Dias: Dynamic Rewriting of Pandas Code |
2024 |
SIGMOD |
1 |
5.0264591e-05 |
| 10,480 |
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,634 |
Drama: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queries |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,141 |
Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,149 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
0 |
4.9605343e-05 |
| 11,981 |
Accelerating Queries over Unstructured Data with ML |
2021 |
CIDR |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.