Man Shi - Concepedia

Author

Man Shi

KU Leuven ORCID

Also Known As

M. Shi, Man Shi, Minghang Shi, Shi, Man, Shi, Mengyuan Han Tiantian

Publications

331

Citations

H-Index

Concepts

All Affiliations

KU Leuven Institute of Microelectronics Tsinghua University IMEC University of California, Santa Barbara

About

Man Shi is an author at KU Leuven specializing in computer engineering, computer science, and computer architecture.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	185
2	Computer Engineering	4	4	185
3	Computer Science	4	4	185
4	Data Science	1	1	23
5	Electrical Engineering	1	1	77

Man Shi

Publications

299

Citations

H-Index

Page 1

	Year	Citations
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand, 2022 IEEE International Solid- State Circuits Conference (ISSCC) Nn AcceleratorsEngineeringEnergy EfficiencyNeural NetworkAimc Core	2022	77
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, IEEE Journal of Solid-State Circuits	2022	55
Evolver: A Deep Learning Processor With On-Device Quantization–Voltage–Frequency Tuning Fengbin Tu, Weiwei Wu, Yang Wang, IEEE Journal of Solid-State Circuits Deep Learning ProcessorsEngineeringMachine LearningHardware AccelerationComputer Engineering	2020	52
BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration Man Shi, Vikram Jain, Antony Joseph,	2024	34
A Fast and Power-Efficient Hardware Architecture for Non-Maximum Suppression Man Shi, Peng Ouyang, Shouyi Yin, IEEE Transactions on Circuits & Systems II Express Briefs Hardware SecurityPower ConsumptionFace DetectionFacial Recognition SystemEngineering	2019	33
STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction Feng Xiong, Fengbin Tu, Man Shi, Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureSoftware Engineering	2020	23
ML Processors Are Going Multi-Core: A performance dream or a scheduling nightmare? Marian Verhelst, Man Shi, Linyan Mei IEEE Solid-State Circuits Magazine	2022	14
Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing Man Shi, Pouya Houshmand, Linyan Mei, IEEE Journal on Emerging and Selected Topics in Circuits and Systems	2021	11

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