DeepTrack: Monitoring and Exploring Spatio-Temporal Data – A Case of Tracking COVID-19 –
Summary: DeepTrack monitors spatio-temporal COVID data, enabling exploration via modular data integration and cleaning. It supports ad-hoc data-source modules and automatically generates dynamic visuals and recommendations to reveal high-risk areas and spread. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yuyu Luo
- 2. Wenbo Li
- 3. Tianyu Zhao
- 4. Xiang Yu
- 5. Lixi Zhang
- 6. Guoliang Li
- 7. Nan Tang
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,825 | Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks | 2021 | SIGMOD | 5.8946721e-05 |
| 8,268 | Learned Data-aware Image Representations of Line Charts for Similarity Search | 2023 | SIGMOD | 4.5456668e-05 |
| 9,829 | Sevi: Speech-to-Visualization through Neural Machine Translation | 2022 | SIGMOD | 4.2751057e-05 |
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