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Xinjiang Wang
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I joined SenseTime at Oct. 2017. My major roles include:
1) developing theoretical models to analyze the optimization and generalization ability of neural networks, using methods such as statistical mechanics.
2) model compression and acceleration algorithms
3) image classification and object detection.
1) developing theoretical models to analyze the optimization and generalization ability of neural networks, using methods such as statistical mechanics.
2) model compression and acceleration algorithms
3) image classification and object detection.
Papers21 papers
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CVPR, pp.11017-11026, (2020)
CVPR, pp.13356-13365, (2020)
ICLR, (2019)
Advances in neural information processing systems, pp.21-31, (2018)
Nanoscale, (2017)
Journal of Physical Chemistry C, no. 28 (2017): 15472-15480
Bibtex
International Journal of Heat and Mass Transfer, (2016): 772-778
Cited by31Bibtex
Daniel Josephus Villaroman, Weijing Dai,Xinjiang Wang, Lin Gan, Ruizhe Wu, Zhengtang Luo, Baoling Huang
ASME 2016 5th International Conference on Micro/Nanoscale Heat and Mass Transfer, (2016)
Journal of Physical Chemistry C, no. 46 (2015): 26000-26008
Bibtex
Journal of Physical Chemistry C, (2015)
Cited by17Bibtex
Scientific reports, (2015): 7806-7806
Scientific reports, (2014): 6399-6399
Nano letters, no. 8 (2014): 4724-4728
Journal of Applied Physics, (2013)
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