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Qianying Huang
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2020 – today
- 2022
- [c6]Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis. ICLR 2022 - [c5]Qianhua Shan, David Sukhdeo, Qianying Huang, Seth Rogers, Lawrence Chen, Elise Paradis, Peter C. Rigby, Nachiappan Nagappan:
Using nudges to accelerate code reviews at scale. ESEC/SIGSOFT FSE 2022: 472-482 - [c4]Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan:
Workgraph: personal focus vs. interruption for engineers at Meta. ESEC/SIGSOFT FSE 2022: 1390-1397 - 2021
- [i1]Siyi Tang
, Jared A. Dunnmon, Khaled Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer:
Automated Seizure Detection and Seizure Type Classification From Electroencephalography With a Graph Neural Network and Self-Supervised Pre-Training. CoRR abs/2104.08336 (2021)
2010 – 2019
- 2016
- [j1]Qianying Huang, Xiaohong Zhang, Sheng Huang
, Dan Yang:
Sparse graph-based inductive learning with its application to image classification. J. Electronic Imaging 25(5): 050502 (2016) - [c3]Qianying Huang, Yunsong Wu, Chenqiu Zhao, Xiaohong Zhang, Dan Yang:
Category Guided Sparse Preserving Projection for Biometric Data Dimensionality Reduction. CCBR 2016: 539-546 - [c2]Chenqiu Zhao, Tingting Zhang, Qianying Huang, Xiaohong Zhang, Dan Yang, Yinq Qu, Sheng Huang
:
Background Subtraction Based on Superpixels Under Multi-scale in Complex Scenes. CCPR (1) 2016: 392-403 - [c1]Yunsong Wu, Qianying Huang, Xiaohong Zhang, Chenqiu Zhao:
Collaborative Sparse Preserving Projections for Feature Extraction. ICSS 2016: 140-143
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