Zhenman Fang

Zhenman Fang

Simon Fraser University

H-index: 22

North America-Canada

About Zhenman Fang

Zhenman Fang, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Simon Fraser University, specializes in the field of Hardware Acceleration, FPGAs, Reconfigurable Computing, HW/SW Codesign, Heterogeneous Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-wise Causal Context Model

HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs

Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding

E4SA: An Ultra-Efficient Systolic Array Architecture for 4-Bit Convolutional Neural Networks

SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery

SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs

Zhenman Fang Information

University

Position

Assistant Professor

Citations(all)

2079

Citations(since 2020)

1670

Cited By

1070

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

34

i10Index(since 2020)

31

Email

University Profile Page

Simon Fraser University

Google Scholar

View Google Scholar Profile

Zhenman Fang Skills & Research Interests

Hardware Acceleration

FPGAs

Reconfigurable Computing

HW/SW Codesign

Heterogeneous Computing

Top articles of Zhenman Fang

Title

Journal

Author(s)

Publication Date

Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-wise Causal Context Model

Haisheng Fu

Feng Liang

Jie Liang

Zhenman Fang

Guohe Zhang

...

2024/4

HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs

Manoj B Rajashekar

Xingyu Tian

Zhenman Fang

2024/4/1

Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding

arXiv preprint arXiv:2401.11093

Haisheng Fu

Feng Liang

Jie Liang

Zhenman Fang

Guohe Zhang

...

2024/1/20

E4SA: An Ultra-Efficient Systolic Array Architecture for 4-Bit Convolutional Neural Networks

Geng Yang

Jie Lei

Zhenman Fang

Jiaqing Zhang

Junrong Zhang

...

2024/4/1

SuperYOLO: Super resolution assisted object detection in multimodal remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Jiaqing Zhang

Jie Lei

Weiying Xie

Zhenman Fang

Yunsong Li

...

2023/3/17

SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms

Alec Lu

Zhenman Fang

2023/5/8

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Peiyan Dong

Mengshu Sun

Alec Lu

Yanyue Xie

Kenneth Liu

...

2023/2/25

PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs

Moazin Khatti

Xingyu Tian

Yuze Chi

Licheng Guo

Jason Cong

...

2023/5

HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks

ACM Transactions on Reconfigurable Technology and Systems

Geng Yang

Jie Lei

Zhenman Fang

Yunsong Li

Jiaqing Zhang

...

2023

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training

Sung-En Chang

Geng Yuan

Alec Lu

Mengshu Sun

Yanyu Li

...

2023/4/17

CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAs

ACM Transactions on Reconfigurable Technology and Systems

Kenneth Liu

Alec Lu

Kartik Samtani

Zhenman Fang

Licheng Guo

2023/12/5

A Cycle-Accurate Soft Error Vulnerability Analysis Framework for FPGA-based Designs

arXiv preprint arXiv:2303.12269

Eduardo Rhod

Behnam Ghavami

Zhenman Fang

Lesley Shannon

2023/3/22

TAPA: a scalable task-parallel dataflow programming framework for modern FPGAs with co-optimization of HLS and physical design

ACM Transactions on Reconfigurable Technology and Systems

Licheng Guo

Yuze Chi

Jason Lau

Linghao Song

Xingyu Tian

...

2023/12/5

Auto-ViT-Acc: An FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization

Zhengang Li

Mengshu Sun

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/8/29

FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions

Behnam Ghavami

Mani Sadati

Zhenman Fang

Lesley Shannon

2022/3/14

Blind Data Adversarial Bit-flip Attack against Deep Neural Networks

Behnam Ghavami

Mani Sadati

Mohammad Shahidzadeh

Zhenman Fang

Lesley Shannon

2022/8/1

Introduction to the Special Section on High-level Synthesis for FPGA: Next-generation Technologies and Applications

Christian Pilato

Zhenman Fang

Yuko Hara-Azumi

Jim Hwang

2022/3/8

A Majority-based Approximate Adder for FPGAs

Behnam Ghavami

Mahdi Sajedi

Mohsen Raji

Zhenman Fang

Lesley Shannon

2022/8/1

Topsort: A high-performance two-phase sorting accelerator optimized on hbm-based fpgas

IEEE Transactions on Emerging Topics in Computing

Weikang Qiao

Licheng Guo

Zhenman Fang

Mau-Chung Frank Chang

Jason Cong

2022/12/19

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization

Mengshu Sun

Zhengang Li

Alec Lu

Yanyu Li

Sung-En Chang

...

2022/2/13

See List of Professors in Zhenman Fang University(Simon Fraser University)

Co-Authors

H-index: 42
Glenn Reinman

Glenn Reinman

University of California, Los Angeles

H-index: 41
Guangyu Sun

Guangyu Sun

Peking University

H-index: 26
Jie LEI

Jie LEI

Xidian University

H-index: 24
Lesley Shannon

Lesley Shannon

Simon Fraser University

H-index: 17
Zhengang Li

Zhengang Li

Northeastern University

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