Cong, Jason

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks

Zhang, C., Li, P., Sun, G., Guan, Y., Xiao, B., & Cong, J. (2015) · Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 2,158

Scaling for edge inference of deep neural networks

Xu, X., Ding, Y., Hu, S. X., Niemier, M., Cong, J., Hu, Y., & Shi, Y. (2018) · Nature Electronics

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 462

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

Wei, X., Yu, C. H., Zhang, P., Chen, Y., Wang, Y., Hu, H., Liang, Y., & Cong, J. (2017) · Proceedings of the 54th Annual Design Automation Conference 2017

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 426

Performance optimization of VLSI interconnect layout

Cong, J., He, L., Koh, C.-K., & Madden, P. H. (1996) · Integration

VLSI and FPGA Design TechniquesCopper Interconnects and Reliability

Cited by 334

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

Li, M., Hsu, W., Xie, X., Cong, J., & Gao, W. (2020) · IEEE Transactions on Medical Imaging

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 321

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

Zhang, C., Sun, G., Fang, Z., Zhou, P., Pan, P., & Cong, J. (2019) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 270

Optimal layout synthesis for quantum computing

Tan, B., & Cong, J. (2020) · Proceedings of the 39th International Conference on Computer-Aided Design

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 126