Xiaofan Zhang

Xiaofan Zhang

University of Illinois at Urbana-Champaign

H-index: 19

North America-United States

About Xiaofan Zhang

Xiaofan Zhang, With an exceptional h-index of 19 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of AI System, Machine learning, Hardware acceleration, Energy-efficient Computing.

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

Software/Hardware Co-design for LLM and Its Application for Design Verification

HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN

Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization

Compilation and Optimizations for Efficient Machine Learning on Embedded Systems

EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search

Efficient AI hardware acceleration

Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems

Algorithm/Accelerator Co-Design and Co-Search for Edge AI

Xiaofan Zhang Information

University

Position

PhD candidate

Citations(all)

3982

Citations(since 2020)

3898

Cited By

1436

hIndex(all)

19

hIndex(since 2020)

18

i10Index(all)

26

i10Index(since 2020)

25

Email

University Profile Page

University of Illinois at Urbana-Champaign

Google Scholar

View Google Scholar Profile

Xiaofan Zhang Skills & Research Interests

AI System

Machine learning

Hardware acceleration

Energy-efficient Computing

Top articles of Xiaofan Zhang

Title

Journal

Author(s)

Publication Date

Software/Hardware Co-design for LLM and Its Application for Design Verification

Lily Jiaxin Wan

Yingbing Huang

Yuhong Li

Hanchen Ye

Jinghua Wang

...

2024/1/22

HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN

Zehua Yuan

Junhao Pan

Xiaofan Zhang

Deming Chen

2024/1/22

Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization

arXiv preprint arXiv:2306.04879

Clemens JS Schaefer

Navid Lambert-Shirzad

Xiaofan Zhang

Chiachen Chou

Tom Jablin

...

2023/6/8

Compilation and Optimizations for Efficient Machine Learning on Embedded Systems

Xiaofan Zhang

Yao Chen

Cong Hao

Sitao Huang

Yuhong Li

...

2023/10/10

EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search

Qian Jiang

Xiaofan Zhang

Deming Chen

Minh N Do

Raymond A Yeh

2023/7/28

Efficient AI hardware acceleration

Xiaofan Zhang

2022/10/21

Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Xiaofan Zhang

Yuan Ma

Jinjun Xiong

Wen-Mei W Hwu

Volodymyr Kindratenko

...

2021/6/29

Algorithm/Accelerator Co-Design and Co-Search for Edge AI

IEEE Transactions on Circuits and Systems II: Express Briefs

Xiaofan Zhang

Yuhong Li

Junhao Pan

Deming Chen

2022/5/30

AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models

arXiv preprint arXiv:2201.08539

Xiaofan Zhang

Zongwei Zhou

Deming Chen

Yu Emma Wang

2022/1/21

Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition

Saranyu Chattopadhyay

Florian Lonsing

Luca Piccolboni

Deepraj Soni

Peng Wei

...

2021

Exploring HW/SW Co-Optimizations for Accelerating Large-scale Texture Identification on Distributed GPUs

Junsong Wang

Xiaofan Zhang

Yubo Li

Yonghua Lin

2021/8/9

Efficient Methods for Mapping Neural Machine Translator on FPGAs

IEEE Transactions on Parallel and Distributed Systems

Qin Li

Xiaofan Zhang

Jinjun Xiong

Wen-mei Hwu

Deming Chen

2021/7

Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment

arXiv preprint arXiv:2104.02251

Xiaofan Zhang

Hanchen Ye

Deming Chen

2021/4/6

F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding

Xiaofan Zhang

Dawei Wang

Pierce Chuang

Shugao Ma

Deming Chen

...

2021/3/8

A-QED Verification of Hardware Accelerators

Eshan Singh

Florian Lonsing

Saranyu Chattopadhyay

Maxwell Strange

Peng Wei

...

2020/7/20

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

Cong Hao

Yao Chen

Xiaofan Zhang

Yuhong Li

Jinjun Xiong

...

2020/9/7

EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

Yuhong Li

Cong Hao

Xiaofan Zhang

Xinheng Liu

Yao Chen

...

2020/7/20

HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation

Hanchen Ye

Xiaofan Zhang

Zhize Huang

Gengsheng Chen

Deming Chen

2020/7/20

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Xiaofan Zhang

Haoming Lu

Cong Hao

Jiachen Li

Bowen Cheng

...

2020/3/2

AutoDNNchip: An automated dnn chip predictor and builder for both FPGAs and ASICs

Pengfei Xu

Xiaofan Zhang

Cong Hao

Yang Zhao

Yongan Zhang

...

2020/2/23

See List of Professors in Xiaofan Zhang University(University of Illinois at Urbana-Champaign)

Co-Authors

H-index: 57
Deming Chen

Deming Chen

University of Illinois at Urbana-Champaign

H-index: 51
Axel Jantsch

Axel Jantsch

Technische Universität Wien

H-index: 19
Cong (Callie) Hao

Cong (Callie) Hao

Georgia Institute of Technology

H-index: 16
Sitao Huang

Sitao Huang

University of Illinois at Urbana-Champaign

H-index: 11
letian huang

letian huang

University of Electronic Science and Technology of China

H-index: 11
Yuhong Li

Yuhong Li

University of Illinois at Urbana-Champaign

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