191 citations
- Chinese Academy of SciencesCN4 papers
- South China Normal UniversityCN3 papers
- Anshan Normal UniversityCN2 papers
- Hong Kong University of Science and TechnologyHK2 papers
- Institute of Metal ResearchCN2 papers
- Shenyang National Laboratory for Materials ScienceCN2 papers
- Beijing Computational Science Research CenterCN1 paper
- California State University, NorthridgeUS1 paper
- Capital University of Economics and BusinessCN1 paper
- CAS Key Laboratory of Urban Pollutant ConversionCN1 paper
- Center for Theoretical Biological PhysicsUS1 paper
- Collaborative Innovation Center of Advanced MicrostructuresCN1 paper
10 papers
Dealing with the data imbalance problem on pulsar candidates sifting based on feature selection
Haitao Lin, Xiangru Li
Pulsar detection has become an active research topic in radio astronomy recently. One of the essential procedures for pulsar detection is pulsar candidate sifting (PCS), a procedur…
Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer
Weishan Cai, Wenjun Ma, Jieyu Zhan +1
Entity Alignment (EA) has attracted widespread attention in both academia and industry, which aims to seek entities with same meanings from different Knowledge Graphs (KGs). There…
Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network
Jun Wan, Zhihui Lai, Linlin Shen +4
Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection me…
Pulsar Candidate Sifting Using Multi-input Convolution Neural Networks
Haitao Lin, Xiangru Li, Qingguo Zeng
Pulsar candidate sifting is an essential process for discovering new pulsars. It aims to search for the most promising pulsar candidates from an all-sky survey, such as High Time R…
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
Mahammad Humayoo, Gengzhong Zheng, Xiaoqing Dong +7
Off-policy learning exhibits greater instability when compared to on-policy learning in reinforcement learning (RL). The difference in probability distribution between the target p…
Quantum Image Processing and Its Application to Edge Detection: Theory and Experiment
Xi-Wei Yao, Hengyan Wang, Zeyang Liao +12
Processing of digital images is continuously gaining in volume and relevance, with concomitant demands on data storage, transmission and processing power. Encoding the image inform…