Digital VLSI and SoC Design
Digital large-scale integrated circuit design, system-on-chip design, and hardware systems for communication and intelligent computing.
Personal Profile
Shan Cao is an Associate Professor in the Department of Communication Engineering, School of Communication and Information Engineering, Shanghai University. She received the B.Eng. degree in Electronic Science and Technology from Tsinghua University in 2009 and the Ph.D. degree in Electronic Science and Technology from Tsinghua University in 2015.
From 2015 to 2017, she was a postdoctoral researcher at the School of Information and Electronics, Beijing Institute of Technology. Since 2017, she has been with Shanghai University, where she has served as Lecturer and Associate Professor. Her research focuses on digital integrated circuit design, domain-specific computing architectures, wireless communication baseband processing, and deep-learning accelerator chips.
Research
Digital large-scale integrated circuit design, system-on-chip design, and hardware systems for communication and intelligent computing.
Architecture design and optimization for parallel computing, baseband processing, and specialized computing workloads.
Wireless communication systems, baseband processors, and efficient encoder and decoder implementations.
Neural-network accelerator chips, model compression, lightweight network models, and hardware-software co-optimization.
Honors & Service
Shanghai Overseas High-Level Talent Program
Shanghai University Cai Guanshen Outstanding Young Teacher Award
IEEE Circuits and Systems Society COMCAS Technical Committee Member
IEEE ISCAS Review Committee Member
ICTC 2022 Special Session Chair; IEEE SiPS 2019 Special Session Chair, etc.
Projects
Teaching
Fall 2022-2024
Spring 2020-2024
Spring 2019-2024
Fall 2016-2017
Selected Publications
[1] S. Cao, S. Chen, L. Jiang and Z. Jiang, “A Critical-Set-Based Multi-Bit Successive Cancellation List Decoder for Polar Codes: Algorithm and Implementation,” IEEE Transactions on Circuits and Systems I: Regular Papers, early access.
[2] Y. Li, S. Cao, B. Zhao, W. Zhang and Z. Jiang, “Hybrid-Grained Pruning and Hardware Acceleration for Convolutional Neural Networks,” IEEE ISCAS, 2024.
[3] B. Ruan, L. Jiang, S. Cao and Z. Jiang, “Dynamically Configurable FIR Filters Based on Serial MACs and Systolic Arrays,” IEEE ISCAS, 2024.
[4] F. Ye, F. Yuan, S. Cao, Z. Jiang and S. Zhou, “SPMD-Based Mixed-Radix FFT and Channel Estimation for Energy-Efficient O-RAN,” FCN, 2023.
[5] Y. Shen, F. Yuan, S. Cao, Z. Jiang and S. Zhou, “Parallel Computing for Energy-Efficient Baseband Processing in O-RAN,” GLOBECOM, 2023.
[6] M. Yang, S. Cao, W. Zhang, Y. Li and Z. Jiang, “Loop-Tiling Based Compiling Optimization for CNN Accelerators,” ASICON, 2023.
[7] W. Zhang et al., “An FPGA-based Low Latency Sensing and Communication Platform for Collaborative Autonomous Driving,” SPAWC, 2023.
[8] S. Cao, H. Hu, L. Jiang, etc., “A Domain Specific Computing Architecture for Open 6G Baseband Signal Processing,” ACM TURC, 2023.
[9] R. Jiang, Z. Fei, S. Cao, etc., “Deep learning-aided signal detection for two-stage index modulated universal filtered multi-carrier systems,” IEEE Transactions on Cognitive Communications and Networking, 2022.
[10] Q. Sun, S. Cao, and Z. Chen, “Filter Pruning via Automatic Pruning Rate Search,” ACCV, 2022.
[11] L. Hui, S. Cao, Z. Chen, S. Li and S. Xu, “Configurable CNN Accelerator in Speech Processing based on Vector Convolution,” AICAS, 2022.
[12] C. Zhang, H. Hu, S. Cao and Z. Jiang, “A Novel Blind Detection Method and FPGA Implementation for Energy-Efficient Sidelink Communications,” SiPS, 2021.
[13] A. Nahli, S. Cao, Z. Jia, R. Ma and S. Xu, “Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring,” IEEE Access, 2021.
[14] H. Wang, S. Cao and S. Xu, “A Real-Time Face Recognition System by Efficient Hardware-Software Co-Design on FPGA SoCs,” AICAS, 2021.
[15] S. Cao, L. Jiang, T. Lin, S. Zhang and S. Xu, “A Semi-Folded Decoding Architecture for Flexible Codeword Length Configuration of Polar Codes,” ISCAS, 2021.
[16] S. Cao, T. Lin, S. Zhang, S. Xu and C. Zhang, “A Reconfigurable and Pipelined Architecture for Standard-Compatible LDPC and Polar Decoding,” IEEE Transactions on Vehicular Technology, 2021.
[17] S. Cao, W. Deng, Z. Bao, C. Xue, S. Xu and S. Zhang, “SimuNN: A Pre-RTL Inference, Simulation and Evaluation Framework for Neural Networks,” IEEE JETCAS, 2020.
[18] S. Cao, H. Zheng, T. Lin, S. Zhang and S. Xu, “An Unfolded Pipelined Polar Decoder With Hybrid Number Representations for Multi-User MIMO Systems,” IEEE TCAS II, 2020.
[19] Z. Jiang, Z. Cao, S. Fu, F. Peng, S. Cao, etc., “Revealing much while saying less: Predictive wireless for status update,” IEEE INFOCOM, 2020.
[20] H. Wang, S. Cao, S. Xu, etc., “Hardware-software co-design for face recognition on FPGA SoCs,” IEEE ISCAS, 2020.
Contact
Emailcshan@shu.edu.cn
OfficeRoom 305, Building 12, East Campus, Shanghai University
AffiliationDepartment of Communication Engineering, School of Communication and Information Engineering, Shanghai University