World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
12434
World Ranking
3857
National Ranking
1825

Electronics and Electrical Engineering

D-Index
53
Citations
10097
World Ranking
2432
National Ranking
938

Research.com Recognitions

  • 2019 - IEEE Fellow For contributions to FPGA high-level synthesis

Overview

Deming Chen is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, artificial intelligence, hardware design, and network systems.

Their recent publication record includes the following papers:

  • Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition, 2020, IEEE Transactions on Cognitive and Developmental Systems
  • YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems, 2021, IEEE Transactions on Smart Grid
  • Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign, 2021, IEEE Design and Test
  • Protectin conjugates in tissue regeneration 1 alleviates sepsis-induced acute lung injury by inhibiting ferroptosis, 2023, Journal of Translational Medicine

The frequent co-authors collaborating with Deming Chen include:

  • Jinjun Xiong
  • Yao Chen
  • Xiaofan Zhang
  • Cong Hao
  • Hanchen Ye

The venues where they most often publish are:

  • arXiv (Cornell University)
  • Journal of Physics Conference Series
  • IEEE Transactions on Computers
  • ACM Transactions on Reconfigurable Technology and Systems
  • IEEE Design and Test

Deming Chen's main fields of study are Computer Science and Engineering. Within these fields, they have a significant number of publications across various subfields, such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

The major topics of their research work include:

  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • Embedded Systems Design Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Memory and Neural Computing
  • CCD and CMOS Imaging Sensors
  • Interconnection Networks and Systems

In 2019, Deming Chen was recognized as an IEEE Fellow for contributions to FPGA high-level synthesis.

Best Publications

  • CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

    Yuhong Li;Yuhong Li;Xiaofan Zhang;Deming Chen

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The Perfect Club Benchmarks: Effective Performance Evaluation of Supercomputers

    M. Berry;D. Chen;P. Koss;D. Kuck

  • DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs

    Xiaofan Zhang;Junsong Wang;Chao Zhu;Yonghua Lin

  • 3-D nFPGA: A Reconfigurable Architecture for 3-D CMOS/Nanomaterial Hybrid Digital Circuits

    Chen Dong;Deming Chen;S. Haruehanroengra;Wei Wang

  • Architecture evaluation for power-efficient FPGAs

    Fei Li;Deming Chen;Lei He;Jason Cong

  • FCUDA: Enabling efficient compilation of CUDA kernels onto FPGAs

    Alexandros Papakonstantinou;Karthik Gururaj;John A. Stratton;Deming Chen

  • FPGA Design Automation: A Survey

    Deming Chen;Jason Cong;Peichen Pan

  • DAOmap: a depth-optimal area optimization mapping algorithm for FPGA designs

    D. Chen;J. Cong

  • Power modeling and characteristics of field programmable gate arrays

    Fei Li;Y. Lin;Lei He;Deming Chen

  • Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

    Prakhar Ganesh;Yao Chen;Xin Lou;Mohammad Ali Khan

  • FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge

    Cong Hao;Xiaofan Zhang;Yuhong Li;Sitao Huang

  • BLESS: Bloom filter-based error correction solution for high-throughput sequencing reads

    Yun Heo;Xiao Long Wu;Deming Chen;Jian Ma

  • Performance and power evaluation of a 3D CMOS/nanomaterial reconfigurable architecture

    Chen Dong;Deming Chen;Sansiri Tanachutiwat;Wei Wang

  • Reconfigurable circuit design with nanomaterials

    Chen Dong;Scott Chilstedt;Deming Chen

  • Low-power high-level synthesis for FPGA architectures

    Deming Chen;Jason Cong;Yiping Fan

  • Blueshift: Designing processors for timing speculation from the ground up.

    Brian Greskamp;Lu Wan;Ulya R. Karpuzcu;Jeffrey J. Cook

  • Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs

    Yao Chen;Jiong He;Xiaofan Zhang;Cong Hao

  • Accelerating distributed reinforcement learning with in-switch computing

    Youjie Li;Iou-Jen Liu;Yifan Yuan;Deming Chen

  • An efficient compiler framework for cache bypassing on GPUs

    Xiaolong Xie;Yun Liang;Guangyu Sun;Deming Chen

  • High-level synthesis: productivity, performance, and software constraints

    Yun Liang;Kyle Rupnow;Yinan Li;Dongbo Min

Frequent Co-Authors

Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Jason Cong
Jason Cong University of California, Los Angeles
Yun Liang
Yun Liang Peking University
Mark Hasegawa-Johnson
Mark Hasegawa-Johnson University of Illinois at Urbana-Champaign
Zbigniew Kalbarczyk
Zbigniew Kalbarczyk University of Illinois at Urbana-Champaign
Ravishankar K. Iyer
Ravishankar K. Iyer University of Illinois at Urbana-Champaign
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Jinjun Xiong
Jinjun Xiong University at Buffalo, State University of New York
Lei He
Lei He University of California, Los Angeles
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in advancing their education alongside a degree in Electronics and Electrical Engineering, exploring related fields can open new career pathways. One valuable option is the best online instructional design master's programs, which combine technical skills with educational expertise, ideal for professionals aiming to develop training materials or e-learning systems.

Many students today are drawn to flexible degree options like the competency based masters degree. This format allows learners to progress at their own pace by demonstrating mastery of specific skills, making it perfect for working professionals balancing study with other commitments.

Access to education is crucial, especially for unique communities such as military families. Online programs catering specifically to military personnel and their families are growing in number. If you belong to this group, you might consider programs recognized as online degrees for military spouses, which offer tailored support and flexibility.

Additionally, many online colleges now offer online colleges with flexible start dates. This flexibility enables students to begin their studies at times that best suit their personal schedules, which is especially useful for managing the demands of a technical degree alongside work or family.

Best Scientists Citing Deming Chen

Trending Scientists