Dequan Wang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Science and Technology of China, National University of Defense Technology, Shanghai Jiao Tong University, Panyu Hospital of Chinese Medicine, Guangdong Provincial People's Hospitalas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-0877-4636
- OpenAlex ID
- A5101424814as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 11
A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification,
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption,
Comprehensive genetic, clinical and electrophysiological studies of familial cortical myoclonic tremor with epilepsy 1 highlight the role of gene configurations,
Contrastive Test-Time Adaptation,
Deep Layer Aggregation,
Joint Monocular 3D Vehicle Detection and Tracking,
Multiple Granularity Descriptors for Fine-Grained Categorization,
RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar
+3 more
← Authored by 11
A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification,
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption,
Comprehensive genetic, clinical and electrophysiological studies of familial cortical myoclonic tremor with epilepsy 1 highlight the role of gene configurations,
Contrastive Test-Time Adaptation,
Deep Layer Aggregation,
Joint Monocular 3D Vehicle Detection and Tracking,
Multiple Granularity Descriptors for Fine-Grained Categorization,
RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar
+3 more
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Summary
Dequan Wang is a human[1].