Zhengang Li

Zhengang Li

North Eastern University

H-index: 17

Asia-Thailand

About Zhengang Li

Zhengang Li, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at North Eastern University, specializes in the field of Deep learning.

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

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices

Stereovoxelnet: Real-time obstacle detection based on occupancy voxels from a stereo camera using deep neural networks

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

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices

Heatvit: Hardware-efficient adaptive token pruning for vision transformers

A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits

Zhengang Li Information

University

Position

Student,

Citations(all)

718

Citations(since 2020)

716

Cited By

62

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

North Eastern University

Google Scholar

View Google Scholar Profile

Zhengang Li Skills & Research Interests

Deep learning

Top articles of Zhengang Li

Title

Journal

Author(s)

Publication Date

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Proceedings of the AAAI Conference on Artificial Intelligence

Xuan Shen

Peiyan Dong

Lei Lu

Zhenglun Kong

Zhengang Li

...

2024/3/24

Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration

Zhengang Li

Yanyue Xie

Peiyan Dong

Olivia Chen

Yanzhi Wang

2023/7/9

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices

Olivia Chen

Zhengang Li

Tomoharu Yamauchi

Yanzhi Wang

Nobuyuki Yoshikawa

2023/6/11

Stereovoxelnet: Real-time obstacle detection based on occupancy voxels from a stereo camera using deep neural networks

Hongyu Li

Zhengang Li

Neşet Ünver Akmandor

Huaizu Jiang

Yanzhi Wang

...

2023/5/29

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

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices

Zhengang Li

Geng Yuan

Tomoharu Yamauchi

Zabihi Masoud

Yanyue Xie

...

2023/10/28

Heatvit: Hardware-efficient adaptive token pruning for vision transformers

Peiyan Dong

Mengshu Sun

Alec Lu

Yanyue Xie

Kenneth Liu

...

2023/2/25

A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits

arXiv preprint arXiv:2307.12216

Masoud Zabihi

Yanyue Xie

Zhengang Li

Peiyan Dong

Geng Yuan

...

2023/7/23

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework

ACM Transactions on Embedded Computing Systems

Geng Yuan

Peiyan Dong

Mengshu Sun

Wei Niu

Zhengang Li

...

2022/12/9

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

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

F8net: Fixed-point 8-bit only multiplication for network quantization

arXiv preprint arXiv:2202.05239

Qing Jin

Jian Ren

Richard Zhuang

Sumant Hanumante

Zhengang Li

...

2022/2/10

FAIVconf: Face enhancement for AI-based video conference with low bit-rate

Zhengang Li

Sheng Lin

Shan Liu

Songnan Li

Xue Lin

...

2022/7/18

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: Late breaking results

Mengshu Sun

Zhengang Li

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/7/10

More or less (mol): Defending against multiple perturbation attacks on deep neural networks through model ensemble and compression

Hao Cheng

Kaidi Xu

Zhengang Li

Pu Zhao

Chenan Wang

...

2022/1/4

Late Breaking Results: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Proceedings of the 59th Design Automation Conference (DAC)

Mengshu Sun

Zhengang Li

Alec Lu

Haoyu Ma

Geng Yuan

...

2022/1

Automatic mapping of the best-suited DNN pruning schemes for real-time mobile acceleration

ACM Transactions on Design Automation of Electronic Systems (TODAES)

Yifan Gong

Geng Yuan

Zheng Zhan

Wei Niu

Zhengang Li

...

2022/6/6

Blcr: Towards real-time dnn execution with block-based reweighted pruning

Xiaolong Ma

Geng Yuan

Zhengang Li

Yifan Gong

Tianyun Zhang

...

2022/4/6

Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration

Zhengang Li

Geng Yuan

Wei Niu

Pu Zhao

Yanyu Li

...

2021

Improving dnn fault tolerance using weight pruning and differential crossbar mapping for reram-based edge ai

Geng Yuan

Zhiheng Liao

Xiaolong Ma

Yuxuan Cai

Zhenglun Kong

...

2021/4/7

See List of Professors in Zhengang Li University(North Eastern University)

Co-Authors

H-index: 41
Sijia Liu

Sijia Liu

Michigan State University

H-index: 26
Caiwen Ding

Caiwen Ding

University of Connecticut

H-index: 16
Shaokai Ye

Shaokai Ye

École Polytechnique Fédérale de Lausanne

H-index: 11
Mengshu Sun

Mengshu Sun

Northeastern University

H-index: 10
Hongjia Li

Hongjia Li

North Eastern University

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