Ling Liang - Concepedia

Author

Ling Liang

University of California, Santa Barbara ORCID

Also Known As

LIANG Ling, Liang Ling, Liang Pei Ling, Liang, Ling, Ling Liang

Publications

1.9K

Citations

H-Index

Concepts

All Affiliations

University of California, Santa Barbara Tsinghua University Chinese Academy of Sciences Institute of Computing Technology Huazhong University of Science and Technology

About

Ling Liang is an author at University of California, Santa Barbara specializing in computer science, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	1.6K
2	Social Sciences	4	4	284
3	Arts	1	1	11
4	Health Sciences	1	1	28
5	Communication	1	1	11

Ling Liang

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
Rethinking the performance comparison between SNNS and ANNS Lei Deng, Yujie Wu, Xing Hu, Neural Networks EngineeringMachine LearningBenchmark DatasetsSparse Neural NetworkComputer Engineering	2019	318
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan, Lei Deng, Xing Hu, Cluster ComputingEngineeringHardware AccelerationGcn AcceleratorHigh-performance Architecture	2020	318
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation Lei Deng, Guanrui Wang, Guoqi Li, IEEE Journal of Solid-State Circuits Artificial IntelligenceEngineeringMachine LearningComputer ArchitectureScalable Chip Bridging	2020	172
A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration Fengbin Tu, Yiqi Wang, Zihan Wu, 2022 IEEE International Solid- State Circuits Conference (ISSCC) EngineeringAdvanced ComputingComputer ArchitectureUnified Fp/int PipelineData Science	2022	119
DeepSniffer Xing Hu, Ling Liang, Shuangchen Li, Artificial IntelligenceDeep Neural NetworksVictim Model ArchitectureMachine LearningEngineering	2020	109
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator Xinfeng Xie, Zhengzhao Liang, Peng Gu, Cluster ComputingEngineeringComputer ArchitectureProcessing-in-memory AcceleratorGpu Computing	2021	97
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization Lei Deng, Yujie Wu, Yifan Hu, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningComputer ArchitectureSpeech RecognitionData Science	2021	76
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
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration Fengbin Tu, Yiqi Wang, Zihan Wu, IEEE Journal of Solid-State Circuits Artificial IntelligenceEngineeringFabricated Redcim ChipAdvanced ComputingComputer Architecture	2022	63
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient Ling Liang, Xing Hu, Lei Deng, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningAdversarial AttackNeural NetworkSocial Sciences	2021	56

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