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Kaiyuan Guo
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2020 – today
- 2024
- [j8]Kaiyuan Guo, Liping Lei, Mengya Sheng, Zhanghui Ji, Hao Song:
Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China. Remote. Sens. 16(13): 2456 (2024) - 2023
- [j7]Hao Song, Mengya Sheng, Liping Lei, Kaiyuan Guo, Shaoqing Zhang, Zhanghui Ji:
Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia Detected by Satellite Observations of GOSAT and TROPOMI. Remote. Sens. 15(13): 3389 (2023) - [c18]Gong-Lang Zhou, Kaiyuan Guo, Xiang Chen, Kwok Wa Leung:
SpCNA: An FPGA-based Accelerator for Point Cloud Convolutional Neural Networks. FCCM 2023: 211 - 2022
- [j6]Shaoqing Zhang, Liping Lei, Mengya Sheng, Hao Song, Luman Li, Kaiyuan Guo, Caihong Ma, Liangyun Liu, Zhaocheng Zeng:
Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2. Remote. Sens. 14(19): 5024 (2022) - [j5]Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang:
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15(3): 24:1-24:31 (2022) - [c17]Yu Wang, Shulin Zeng, Kaiyuan Guo, Xuefei Ning, Yali Zhao, Zhongyuan Qiu, Changcheng Tang, Shuang Liang, Huazhong Yang:
Efficient Autonomous Driving System Design: From Software to Hardware. ISVLSI 2022: 373-375 - 2021
- [c16]Shuang Liang, Changcheng Tang, Xuefei Ning, Shulin Zeng, Jincheng Yu, Yu Wang, Kaiyuan Guo, Diange Yang, Tianyi Lu, Huazhong Yang:
Efficient Computing Platform Design for Autonomous Driving Systems. ASP-DAC 2021: 734-741 - 2020
- [c15]Wenshuo Li, Guangjun Ge, Kaiyuan Guo, Xiaoming Chen, Qi Wei, Zhen Gao, Yu Wang, Huazhong Yang:
Soft Error Mitigation for Deep Convolution Neural Network on FPGA Accelerators. AICAS 2020: 1-5 - [c14]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FCCM 2020: 102-110 - [c13]Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. FPGA 2020: 317 - [i3]Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. CoRR abs/2003.12101 (2020) - [i2]Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR abs/2006.02804 (2020)
2010 – 2019
- 2019
- [j4]Kaiyuan Guo, Shulin Zeng, Jincheng Yu, Yu Wang, Huazhong Yang:
[DL] A Survey of FPGA-based Neural Network Inference Accelerators. ACM Trans. Reconfigurable Technol. Syst. 12(1): 2:1-2:26 (2019) - [c12]Kaiyuan Guo, Shuang Liang, Jincheng Yu, Xuefei Ning, Wenshuo Li, Yu Wang, Huazhong Yang:
Compressed CNN Training with FPGA-based Accelerator. FPGA 2019: 189 - 2018
- [j3]Kaiyuan Guo, Lingzhi Sui, Jiantao Qiu, Jincheng Yu, Junbin Wang, Song Yao, Song Han, Yu Wang, Huazhong Yang:
Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 35-47 (2018) - [j2]Jincheng Yu, Guangjun Ge, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. ACM Trans. Reconfigurable Technol. Syst. 11(3): 22:1-22:23 (2018) - [c11]Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang:
Real-time object detection towards high power efficiency. DATE 2018: 704-708 - [c10]Shulin Zeng, Kaiyuan Guo, Shaoxia Fang, Junlong Kang, Dongliang Xie, Yi Shan, Yu Wang, Huazhong Yang:
An Efficient Reconfigurable Framework for General Purpose CNN-RNN Models on FPGAs. DSP 2018: 1-5 - [c9]Kaiyuan Guo, Jincheng Yu, Xuefei Ning, Yiming Hu, Yu Wang, Huazhong Yang:
RRAM Based Buffer Design for Energy Efficient CNN Accelerator. ISVLSI 2018: 435-440 - 2017
- [j1]Kaiyuan Guo, Song Han, Song Yao, Yu Wang, Yuan Xie, Huazhong Yang:
Software-Hardware Codesign for Efficient Neural Network Acceleration. IEEE Micro 37(2): 18-25 (2017) - [c8]Jincheng Yu, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. FPT 2017: 227-230 - [i1]Kaiyuan Guo, Shulin Zeng, Jincheng Yu, Yu Wang, Huazhong Yang:
A Survey of FPGA Based Neural Network Accelerator. CoRR abs/1712.08934 (2017) - 2016
- [c7]Junbin Wang, Ke Yan, Kaiyuan Guo, Jincheng Yu, Lingzhi Sui, Song Yao, Song Han, Yu Wang:
Real-Time Pedestrian Detection and Tracking on Customized Hardware. ESTIMedia 2016: 1 - [c6]Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang:
Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. FPGA 2016: 26-35 - [c5]Xijie Jia, Kaiyuan Guo, Wenqiang Wang, Yu Wang, Huazhong Yang:
SRI-SURF: A better SURF powered by scaled-RAM interpolator on FPGA. FPL 2016: 1-8 - [c4]Kaiyuan Guo, Lingzhi Sui, Jiantao Qiu, Song Yao, Song Han, Yu Wang, Huazhong Yang:
From model to FPGA: Software-hardware co-design for efficient neural network acceleration. Hot Chips Symposium 2016: 1-27 - [c3]Kaiyuan Guo, Lingzhi Sui, Jiantao Qiu, Song Yao, Song Han, Yu Wang, Huazhong Yang:
Angel-Eye: A Complete Design Flow for Mapping CNN onto Customized Hardware. ISVLSI 2016: 24-29 - 2015
- [c2]Mengyuan Gu, Kaiyuan Guo, Wenqiang Wang, Yu Wang, Huazhong Yang:
An FPGA-based real-time simultaneous localization and mapping system. FPT 2015: 200-203 - 2014
- [c1]Wenqiang Wang, Kaiyuan Guo, Mengyuan Gu, Yuchun Ma, Yu Wang:
A universal FPGA-based floating-point matrix processor for mobile systems. FPT 2014: 139-146
Coauthor Index
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last updated on 2024-08-23 19:23 CEST by the dblp team
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