Publications
View AllA Survey on Multi-Task Learning
Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help improve the genera...
The Roadmap to 6G: AI Empowered Wireless Networks
The recent upsurge of diversified mobile applications, especially those supported by AI, is spurring heated discussions on the future evolution of wireless communications. While...
Pre-Trained Image Processing Transformer
As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effective...
Second-Order Attention Network for Single Image Super-Resolution
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and obtained remarkable performance. However, most of the e...
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition. The existing dep...
Affiliated Researchers
Institution Info
- Type
- facility
- Country
- CN
- Publications
- 6
- Citations
- 10,867
External Links
Identifiers
- ROR
- https://ror.org/03qdqbt06