Je-Min Hung - Concepedia

Author

Je-Min Hung

National Tsing Hua University ORCID

Also Known As

Je-Min Hung

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

National Tsing Hua University Taiwan Semiconductor Manufacturing Company (Taiwan)National Chung Hsing University National Taipei University Taiwan Semiconductor Manufacturing Company (China)

About

Je-Min Hung is an author at National Tsing Hua University specializing in computer engineering, computer science, and computer architecture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	13	1.2K
2	Computer Engineering	13	13	1.2K
3	Computer Science	13	13	1.2K
4	Electrical Engineering	6	6	552
5	Data Science	1	1	13

Je-Min Hung

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices Chuan-Jia Jhang, Cheng-Xin Xue, Je-Min Hung, IEEE Transactions on Circuits and Systems I Regular Papers EngineeringEdge DeviceComputer ArchitectureUnlimited EnduranceSram-cim Macros	2021	245
16.1 A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices Cheng-Xin Xue, Je-Min Hung, Hui-Yao Kao, EngineeringEnergy EfficiencyEmerging Memory TechnologyComputer ArchitectureHardware Systems	2021	174
A CMOS-integrated compute-in-memory macro based on resistive random-access memory for AI edge devices Cheng-Xin Xue, Yen-Cheng Chiu, Ta-Wei Liu, Nature Electronics Hardware SecurityEngineeringVlsi ArchitectureEdge ComputingEmerging Memory Technology	2020	155
An 8-Mb DC-Current-Free Binary-to-8b Precision ReRAM Nonvolatile Computing-in-Memory Macro using Time-Space-Readout with 1286.4-21.6TOPS/W for Edge-AI Devices Je-Min Hung, Yen-Hsiang Huang, Sheng-Po Huang, 2022 IEEE International Solid- State Circuits Conference (ISSCC) Non-volatile MemoryEngineeringComputer ArchitectureHardware SystemsSignal Margin	2022	112
A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices Je-Min Hung, Cheng-Xin Xue, Hui-Yao Kao, Nature Electronics Hardware SecurityFour-megabit Compute-in-memory MacroEngineeringHardware AccelerationEight-bit Precision	2021	107
A 4-Kb 1-to-8-bit Configurable 6T SRAM-Based Computation-in-Memory Unit-Macro for CNN-Based AI Edge Processors Yen-Cheng Chiu, Zhixiao Zhang, Jiajing Chen, IEEE Journal of Solid-State Circuits Electrical EngineeringMemory ArchitectureEngineeringVlsi DesignHardware Acceleration	2020	85
Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing Tai-Hao Wen, Je-Min Hung, Wei-Hsing Huang, Science Artificial IntelligenceNon-volatile MemoryEngineeringComputer ArchitectureMulti-channel Memory Architecture	2024	75
A Nonvolatile Al-Edge Processor with 4MB SLC-MLC Hybrid-Mode ReRAM Compute-in-Memory Macro and 51.4-251TOPS/W Wei‐Hsing Huang, Tai-Hao Wen, Je-Min Hung, EngineeringComputer ArchitectureWeight DataProcessor ArchitectureHardware Systems	2023	69
8-b Precision 8-Mb ReRAM Compute-in-Memory Macro Using Direct-Current-Free Time-Domain Readout Scheme for AI Edge Devices Je-Min Hung, Tai-Hao Wen, Yen-Hsiang Huang, IEEE Journal of Solid-State Circuits Hardware SecurityArtificial IntelligenceElectrical EngineeringNon-volatile MemoryEngineering	2022	55
Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge Devices Je-Min Hung, Chuan-Jia Jhang, Ping-Chun Wu, IEEE Open Journal of the Solid-State Circuits Society Artificial IntelligenceHardware SecurityElectrical EngineeringMemory ArchitectureEngineering	2021	51

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