2026 Jason Cong: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	101	353	342	194	187	650	37401

Research.com Recognitions

2020 - Fellow, National Academy of Inventors
2019 - Semiconductor Industry Association University Researcher Award
2017 - Member of the National Academy of Engineering For pioneering contributions to application-specific programmable logic via innovations in field-programmable gate array synthesis.
2008 - ACM Fellow For contributions to electronic design automation.
2001 - IEEE Fellow For contributions to the computer-aided design of integrated circuits, especially in physical design automation, interconnect optimization, and synthesis of field-programmable gate-arrays.

Overview

Jason Cong is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple scientific disciplines, including Computer Science, Biochemistry, Genetics and Molecular Biology, and Engineering. Key subfields of their work include Biophysics, Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, and Media Technology.

The scientist's main research topics cover a variety of areas, with notable focus on Cell Image Analysis Techniques, Image Processing Techniques and Applications, Computational Drug Discovery Methods, Machine Learning in Materials Science, Advanced Fluorescence Microscopy Techniques, Quantum Computing Algorithms and Architecture, and Embedded Systems Design Techniques.

Jason Cong has contributed to numerous publications across several venues. Frequent publication venues include:

arXiv (Cornell University)
SAR and QSAR in environmental research
IEEE Design and Test
bioRxiv (Cold Spring Harbor Laboratory)

Representative recent papers authored or coauthored by Jason Cong include:

"A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware" (2023), published in arXiv (Cornell University)
"Molecular mechanism underlying effect of D93 and D289 protonation states on inhibitor-BACE1 binding: exploration from multiple independent Gaussian accelerated molecular dynamics and deep learning" (2024), published in SAR and QSAR in environmental research
"Binding mechanism of inhibitors to DFG-in and DFG-out P38α deciphered using multiple independent Gaussian accelerated molecular dynamics simulations and deep learning" (2025), published in SAR and QSAR in environmental research
"2019 DAC Roundtable" (2020), published in IEEE Design and Test
"Gossamer: Scaling Image Processing and Reconstruction to Whole Brains" (2024), published in bioRxiv (Cold Spring Harbor Laboratory)

Jason Cong collaborates regularly with several researchers, including:

Yizhou Sun
Karl Marrett
Keivan Moradi
Chris Sin Park
Ming Yan

The scientist's work has been recognized with multiple awards. These include:

Fellow, National Academy of Inventors (2020)
Semiconductor Industry Association University Researcher Award (2019)
Member of the National Academy of Engineering (2017) for pioneering contributions to application-specific programmable logic via innovations in field-programmable gate array synthesis
ACM Fellow (2008) for contributions to electronic design automation
IEEE Fellow (2001) for contributions to the computer-aided design of integrated circuits, especially in physical design automation, interconnect optimization, and synthesis of field-programmable gate-arrays

Best Publications

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

Chen Zhang;Peng Li;Guangyu Sun;Yijin Guan

2357
Citations
High-Level Synthesis for FPGAs: From Prototyping to Deployment

Jason Cong;Bin Liu;Stephen Neuendorffer;Juanjo Noguera

1040
Citations
FlowMap: an optimal technology mapping algorithm for delay optimization in lookup-table based FPGA designs

J. Cong;Yuzheng Ding

1026
Citations
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks

Chen Zhang;Guangyu Sun;Zhenman Fang;Peipei Zhou

580
Citations
A thermal-driven floorplanning algorithm for 3D ICs

J. Cong;Jie Wei;Yan Zhang

555
Citations
Scaling for edge inference of deep neural networks

Xiaowei Xu;Yukun Ding;Sharon Xiaobo Hu;Michael Niemier

442
Citations
Minimizing Computation in Convolutional Neural Networks

Jason Cong;Bingjun Xiao

427
Citations
Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

Xuechao Wei;Cody Hao Yu;Peng Zhang;Youxiang Chen

426
Citations
Performance optimization of VLSI interconnect layout

Jason Cong;Lei He;Cheng-Kok Koh;Patrick H. Madden

424
Citations
On area/depth trade-off in LUT-based FPGA technology mapping

J. Cong;Yuzheng Ding

363
Citations
An interconnect-centric design flow for nanometer technologies

J. Cong

357
Citations
CMP network-on-chip overlaid with multi-band RF-interconnect

M.F. Chang;J. Cong;A. Kaplan;M. Naik

355
Citations
FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates

Yijin Guan;Hao Liang;Ningyi Xu;Wenqiang Wang

324
Citations
Application-specific instruction generation for configurable processor architectures

Jason Cong;Yiping Fan;Guoling Han;Zhiru Zhang

315
Citations
Combinational logic synthesis for LUT based field programmable gate arrays

Jason Cong;Yuzheng Ding

295
Citations
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network

Meng Li;William Hsu;Xiaodong Xie;Jason Cong

293
Citations
Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks

Chen Zhang;Zhenman Fang;Peipei Zhou;Peichen Pan

290
Citations
Provably good performance-driven global routing

J. Cong;A.B. Kahng;G. Robins;M. Sarrafzadeh

283
Citations
Interconnect design for deep submicron ICs

Jason Cong;Zhigang Pan;Lei He;Cheng-Kok Koh

271
Citations
Routability-Driven Placement and White Space Allocation

Chen Li;Min Xie;Cheng-Kok Koh;J. Cong

268
Citations
A scalable micro wireless interconnect structure for CMPs

Suk-Bok Lee;Sai-Wang Tam;Ioannis Pefkianakis;Songwu Lu

263
Citations
Three Dimensional Integrated Circuit Design

Yuan Xie;Jason Cong;Sachin Sapatnekar

187
Citations

Frequent Co-Authors

Glenn Reinman University of California, Los Angeles

Deming Chen University of Illinois at Urbana-Champaign

Mau-Chung Frank Chang University of California, Los Angeles

Andrew B. Kahng University of California, San Diego

Cheng-Kok Koh Purdue University West Lafayette

Lei He University of California, Los Angeles

Guangyu Sun Peking University

Tony F. Chan University of California, Los Angeles

Yun Liang Peking University

Majid Sarrafzadeh University of California, Los Angeles

External Links

Wikipedia of Jason Cong Personal website of Jason Cong Google Scholar page

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