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Guihai Yan
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Publications
- 2020
- [j25]Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Liu Ke:
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Des. Test 37(1): 36-45 (2020) - 2018
- [j18]Xin He, Wenyan Lu, Guihai Yan, Xuan Zhang:
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 810-821 (2018) - [j17]Faqiang Sun, Guihai Yan, Xin He, Huawei Li, Yinhe Han:
CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency. J. Comput. Sci. Technol. 33(1): 131-144 (2018) - [c23]Shuhao Jiang, Jiajun Li, Xin He, Guihai Yan, Xuan Zhang, Xiaowei Li:
RiskCap: Minimizing Effort of Error Regulation for Approximate Computing. ATS 2018: 133-138 - [c19]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. ISLPED 2018: 20:1-20:6 - [i2]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. CoRR abs/1805.08309 (2018) - 2017
- [j14]Xin He, Shuhao Jiang, Wenyan Lu, Guihai Yan, Yinhe Han, Xiaowei Li:
Exploiting the Potential of Computation Reuse Through Approximate Computing. IEEE Trans. Multi Scale Comput. Syst. 3(3): 152-165 (2017) - [c18]Xin He, Guihai Yan, Faqiang Sun, Yinhe Han, Xiaowei Li:
ApproxEye: Enabling approximate computation reuse for microrobotic computer vision. ASP-DAC 2017: 402-407 - 2016
- [j12]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li:
Wide Operational Range Processor Power Delivery Design for Both Super-Threshold Voltage and Near-Threshold Voltage Computing. J. Comput. Sci. Technol. 31(2): 253-266 (2016) - [c16]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li:
ACR: Enabling computation reuse for approximate computing. ASP-DAC 2016: 643-648 - 2014
- [c11]Xin He, Guihai Yan, Yinhe Han, Xiaowei Li:
SuperRange: Wide operational range power delivery design for both STV and NTV computing. DATE 2014: 1-6
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