Kaishun Wu
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Hong Kong University of Science and Technology, HKUST Shenzhen Research Institute, University of Hong Kong, South China University of Technologyas 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
- 0000-0003-2216-0737
- OpenAlex ID
- A5001188748, A5075619875, A5122965388, A5123225249, A5126645272, A5129631808, A5135261477, A5135415182, A5135722539, A5136489200, A5137377991, A5143238314as 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 67
Accurate Combined Keystrokes Detection Using Acoustic Signals,
A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery,
Activity-Based Person Identification Using Multimodal Wearable Sensor Data,
ActivityMamba: A CNN-Mamba Hybrid Neural Network for Efficient Human Activity Recognition,
Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning,
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs,
Aggregation-Induced Emission Luminogens as Color Converters for Visible-Light Communication,
Aiding a Disaster Spot via an UAV-Based Mobile AF Relay: Joint Trajectory and Power Optimization
+59 more
← Authored by 67
Accurate Combined Keystrokes Detection Using Acoustic Signals,
A Coarse-to-Fine Contour Optimization Network for Extracting Building Instances from High-Resolution Remote Sensing Imagery,
Activity-Based Person Identification Using Multimodal Wearable Sensor Data,
ActivityMamba: A CNN-Mamba Hybrid Neural Network for Efficient Human Activity Recognition,
Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning,
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs,
Aggregation-Induced Emission Luminogens as Color Converters for Visible-Light Communication,
Aiding a Disaster Spot via an UAV-Based Mobile AF Relay: Joint Trajectory and Power Optimization
+59 more
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Summary
Kaishun Wu is a human[1].