921 citations
- Chinese Academy of SciencesCN55 papers
- University of Chinese Academy of SciencesCN34 papers
- Hong Kong University of Science and TechnologyHK6 papers
- Peking UniversityCN6 papers
- Institute of PhysicsPL5 papers
- National Astronomical ObservatoriesCN5 papers
- University of Central FloridaUS4 papers
- University of MacauMO4 papers
- University of Science and Technology of ChinaCN4 papers
- Beijing Normal UniversityCN3 papers
- Beijing University of Posts and TelecommunicationsCN3 papers
- City University of MacauMO3 papers
74 papers
Don't Predict, Prioritize: Rethinking GPU Reliability Assessment
Difeng Ma, Changhua Pei, Yuanwei Lu +7
The reliability of Graphics Processing Units (GPUs) is a criticalbottleneck for modern large-scale AI infrastructure, where a sin-gle node failure can disrupt synchronous training…
Improving pulsar search efficiency in next-generation pulsar surveys with artificial intelligence
Qiuyang Fu, Mengyao Xue, Weiwei Zhu +12
Pulsar searching with next-generation radio telescopes requires efficiently sifting through millions of candidates generated by search pipelines to identify the most promising ones…
A Comprehensive Benchmark for Electrocardiogram Time-Series
Zhijiang Tang, Jiaxin Qi, Yuhua Zheng +1
Electrocardiogram~(ECG), a key bioelectrical time-series signal, is crucial for assessing cardiac health and diagnosing various diseases. Given its time-series format, ECG data is…
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji, Ying Sun, Hengshu Zhu
In the era of the knowledge economy, understanding how job skills influence salary is crucial for promoting recruitment with competitive salary systems and aligned salary expectati…
Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence
Sihang Zhao, Shoucong Carol Xiong, Bo Pang +2
Dyslexia, a neurological condition affecting approximately 12% of the global population, presents significant challenges to reading ability and quality of life. Existing assistive…
Diversity-oriented Data Augmentation with Large Language Models
Zaitian Wang, Jinghan Zhang, Xinhao Zhang +3
Data augmentation is an essential technique in natural language processing (NLP) for enriching training datasets by generating diverse samples. This process is crucial for improvin…