Shangshang Yao

Orcid: 0000-0001-7217-1712

According to our database1, Shangshang Yao authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AutoCT: Hybrid Compressor Tree Optimization via Reinforcement Learning with Graph Modeling.
Proceedings of the 31st Asia and South Pacific Design Automation Conference, 2026

2025
Approx-T: Design Methodology for Approximate Multiplication Units via Taylor-Expansion.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., August, 2025

Biased Compressor Based Approximate Multiplier Design Using Genetic Algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

ILP-Driven FPGA Multiplier Synthesis: A Scalable Framework for Area-Latency Co-Optimization.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Weight-and-Load-Driven Approximation Methodology for Energy-Efficient Neural Network Accelerators.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

2023
ImprLM: An Improved Logarithmic Multiplier Design Approach via Iterative Linear-Compensation and Modified Dynamic Segment.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

2022
FHAM: FPGA-based High-Efficiency Approximate Multipliers via LUT Encoding.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

A High-performance SpMV Accelerator on HBM-equipped FPGAs.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Hardware-Efficient FPGA-Based Approximate Multipliers for Error-Tolerant Computing.
Proceedings of the International Conference on Field-Programmable Technology, 2022

2021
An Efficient Hybrid Parallel Compression Approximate Multiplier.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021


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