Liu Liu - Concepedia

Author

Liu Liu

University of California, Santa Barbara ORCID

Also Known As

Linley, J.N., Liu LIU, Liu Liu, Liu, Liu, Santa Cruz

131

Publications

2.1K

Citations

H-Index

100

Concepts

All Affiliations

University of California, Santa Barbara Tsinghua University Australian National University University of California System University of Waterloo

About

Liu Liu is an author at University of California, Santa Barbara specializing in engineering, computer science, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	28	1.5K
2	Computer Science	18	23	1K
3	Computer Engineering	13	15	492
4	Data Science	11	13	559
5	Business	1	1	130

Liu Liu

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
Review of key problems related to integrated energy distribution systems Dan Wang, Liu Liu, Hongjie Jia, CSEE Journal of Power and Energy Systems Distributed Energy SystemPower System FormsElectrical EngineeringEngineeringSmart Grid	2018	241
The Algorithmic Aspects of Network Slicing Spyridon Vassilaras, Lazaros Gkatzikis, Nikolaos Liakopoulos, IEEE Communications Magazine 5G Network SlicingFuture Wireless NetworksEngineeringAlgorithmic AspectsNetwork Analysis	2017	208
$L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks Shuang Wu, Guoqi Li, Lei Deng, IEEE Transactions on Neural Networks and Learning Systems	2018	166
Optimal Feature Transport for Cross-View Image Geo-Localization Yujiao Shi, Xin Yu, Liu Liu, Proceedings of the AAAI Conference on Artificial Intelligence Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningLocalization Technique	2020	151
Label Propagation via Teaching-to-Learn and Learning-to-Teach Chen Gong, Dacheng Tao, Wei Liu, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningNeighborhood GraphLanguage LearningGraph Processing	2016	130
DOTA: detect and omit weak attentions for scalable transformer acceleration Zheng Qu, Liu Liu, Fengbin Tu, Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureImage Analysis	2022	108
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution Xibin Song, Yuchao Dai, Dingfu Zhou, Channel AttentionSuper-resolution ImagingMachine VisionMachine LearningImage Analysis	2020	88
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes Fengbin Tu, Zihan Wu, Yiqi Wang, IEEE Journal of Solid-State Circuits	2022	64
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes Fengbin Tu, Zihan Wu, Yiqi Wang, 2022 IEEE International Solid- State Circuits Conference (ISSCC) EngineeringVlsi DesignMachine LearningComputer ArchitectureMemory Access	2022	53
Virtual Network Survivability Through Joint Spare Capacity Allocation and Embedding Nashid Shahriar, Shihabur Rahman Chowdhury, Reaz Ahmed, IEEE Journal on Selected Areas in Communications EngineeringDynamic Resource AllocationNetwork AnalysisSubstrate NetworkNetwork Survivability	2018	51

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