Jiancheng Lyu - Concepedia

Author

Jiancheng Lyu

University of California, Irvine

Also Known As

Jiancheng Lyu, Lyu, Jiancheng

Publications

471

Citations

H-Index

Concepts

All Affiliations

University of California, Irvine University of California, Los Angeles Qualcomm (United Kingdom)Qualcomm (United States)

About

Jiancheng Lyu is an author at University of California, Irvine specializing in engineering, deep learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	282
2	Computer Science	5	5	270
3	Data Science	3	3	137
4	Computer Engineering	2	2	71
5	Education	1	1	53

Jiancheng Lyu

Publications

413

Citations

H-Index

Page 1

	Year	Citations
Understanding Straight-Through Estimator in Training Activation\n Quantized Neural Nets Penghang Yin, Jiancheng Lyu, Shuai Zhang, arXiv (Cornell University)	2019	119
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights Penghang Yin, Shuai Zhang, Jiancheng Lyu, SIAM Journal on Imaging Sciences Quantized StateConvolutional Neural NetworkMachine VisionMachine LearningData Science	2018	72
Blended coarse gradient descent for full quantization of deep neural networks Penghang Yin, Shuai Zhang, Jiancheng Lyu, Research in the Mathematical Sciences Deep Neural NetworksEngineeringMachine LearningSparse Neural NetworkFull Quantization	2019	65
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin, Jiancheng Lyu, Shuai Zhang, arXiv (Cornell University) Artificial IntelligenceStraight-through EstimatorTraining LossModel OptimizationEngineering	2019	62
Dense Network Expansion for Class Incremental Learning Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Artificial IntelligenceIncremental LearningEngineeringMachine LearningEducation	2023	53
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Artificial IntelligenceConvolutional Neural NetworkGraph Neural NetworkEngineeringMachine Learning	2020	18
Computing Residual Diffusivity by Adaptive Basis Learning via Spectral Method Jiancheng Lyu, Jack Xin, Yifeng Yu Numerical Mathematics Theory Methods and Applications Numerical AnalysisSpectral TheoryResidual Diffusion PhenomenonEngineeringChaotic Advection	2017	12
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin, Shuai Zhang, Jiancheng Lyu, arXiv (Cornell University)	2018	12

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