Ruihao Gong - Concepedia

Author

Ruihao Gong

Beihang University ORCID

Also Known As

Gong, Ruihao, Li, Bo, Liang, Siyuan, Niu, Yazhe, Ruihao Gong, Xia, Xiaoxu

Publications

2.6K

Citations

H-Index

Concepts

All Affiliations

Beihang University Group Sense (China)University of Electronic Science and Technology of China Yale University Chinese Academy of Sciences

About

Ruihao Gong is an author at Beihang University specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	22	2.2K
2	Computer Engineering	14	15	1.3K
3	Social Sciences	2	2	55
4	Language Studies	1	1	36
5	Management	1	1	31

Ruihao Gong

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
Binary neural networks: A survey Haotong Qin, Ruihao Gong, Xianglong Liu, Pattern Recognition EngineeringMachine LearningComputational Learning TheoryPattern RecognitionBinary Neural Networks	2020	518
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong, Xianglong Liu, Shenghu Jiang, EngineeringMachine LearningSparse Neural NetworkDifferentiable Soft QuantizationComputer Engineering	2019	445
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin, Ruihao Gong, Xianglong Liu, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningSequential Learning	2020	335
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu, Ruihao Gong, Fengwei Yu, Artificial IntelligenceInt8 TrainingConvolutional Neural NetworkEngineeringMachine Learning	2020	151
Distribution-Sensitive Information Retention for Accurate Binary Neural Network Haotong Qin, Xiangguo Zhang, Ruihao Gong, International Journal of Computer Vision EngineeringMachine LearningSparse Neural NetworkDistribution-sensitive Information RetentionComputer Science	2022	118
BRECQ: Pushing the Limit of Post-Training Quantization by Block\n Reconstruction Yuhang Li, Ruihao Gong, Xu Tan, arXiv (Cornell University)	2021	114
Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang, Haotong Qin, Yifu Ding, Convolutional Neural NetworkEngineeringMachine LearningBatch NormalizationAutoencoders	2021	82
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong, Xianglong Liu, Shenghu Jiang, arXiv (Cornell University) EngineeringMachine LearningEdge ComputingSparse Neural NetworkDifferentiable Soft Quantization	2019	60
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang, Ruihao Gong, Yan Wang, arXiv (Cornell University)	2021	51
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li, Ruihao Gong, Xu Tan, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAutoencodersPost-training Quantization	2021	49

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