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Ye Qiao
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2020 – today
- 2024
- [c3]Guang Li, Ye Qiao, Jieying Zhou, Weigang Wu:
Generic and Scalable Detection of Risky Transactions Using Density Flows: Applications to Financial Networks. APWeb/WAIM (3) 2024: 112-128 - [c2]Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang:
MicroNAS: Zero-Shot Neural Architecture Search for MCUs. DATE 2024: 1-2 - [i7]Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang:
MicroNAS: Zero-Shot Neural Architecture Search for MCUs. CoRR abs/2401.08996 (2024) - [i6]Ye Qiao, Haocheng Xu, Sitao Huang:
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search. CoRR abs/2404.00271 (2024) - [i5]Jingcheng Li, Ye Qiao, Haocheng Xu, Sitao Huang:
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. CoRR abs/2406.09656 (2024) - [i4]Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang:
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs. CoRR abs/2408.15034 (2024) - [i3]Haocheng Xu, Faraz Tahmasebi, Ye Qiao, Hongzheng Tian, Hyoukjun Kwon, Sitao Huang:
Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. CoRR abs/2410.07407 (2024) - 2023
- [j2]Andrew Ding
, Ye Qiao
BNN An Ideal Architecture for Acceleration With Resistive in Memory Computation. IEEE Trans. Emerg. Top. Comput. 11(2): 281-291 (2023) - [i2]Harsimrat Kaeley, Ye Qiao, Nader Bagherzadeh:
Support for Stock Trend Prediction Using Transformers and Sentiment Analysis. CoRR abs/2305.14368 (2023) - 2022
- [c1]Ye Qiao
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition. ICIT 2022: 1-8 - [i1]Ye Qiao, Mohammed Alnemari, Nader Bagherzadeh:
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition. CoRR abs/2208.00883 (2022)
2010 – 2019
- 2019
- [j1]Xu Li
Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. NeuroImage 191: 337-349 (2019)
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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