Vehicle logo recognition based on Bag-of-Words. - Shuyuan Yu; Shibao Zheng; Hua Yang 001; Longfei Liang (AVSS, 2013)

Source Retrieval Cues Facilitate Transfer in Fraction Learning. - Shuyuan Yu; John Opfer (CogSci, 2018)

Reliable Power Grid Network Design Framework Considering EM Immortalities for Multi-Segment Wires. - Han Zhou 002; Shuyuan Yu; Zeyu Sun 001; Sheldon X.-D. Tan (ASP-DAC, 2020)

Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management: Work-in-Progress. - Shuyuan Yu; Han Zhou 002; Shaoyi Peng; Hussam Amrouch; Jörg Henkel; Sheldon X.-D. Tan (CASES, 2020)

From Integers to Fractions: Developing a Coherent Understanding of Proportional Magnitude. - Shuyuan Yu; Dan Kim; Marta K. Mielicki; Charlies J. Fitzsimmons; Clarissa A. Thompson; John Opfer (CogSci, 2020)

Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management. - Shuyuan Yu; Han Zhou 002; Shaoyi Peng; Hussam Amrouch; Jörg Henkel; Sheldon X.-D. Tan (CoRR, 2020)

Cognitive Supports for Objective Numeracy. - Shuyuan Yu; John Opfer (CogSci, 2021)

COSAIM: Counter-based Stochastic-behaving Approximate Integer Multiplier for Deep Neural Networks. - Shuyuan Yu; Yibo Liu; Sheldon X.-D. Tan (DAC, 2021)

Runtime Long-Term Reliability Management Using Stochastic Computing in Deep Neural Networks. - Yibo Liu; Shuyuan Yu; Shaoyi Peng; Sheldon X.-D. Tan (ISQED, 2021)

Approximate Divider Design Based on Counting-Based Stochastic Computing Division. - Shuyuan Yu; Yibo Liu; Sheldon X.-D. Tan (MLCAD, 2021)

HEALM: Hardware-Efficient Approximate Logarithmic Multiplier with Reduced Error. - Shuyuan Yu; Maliha Tasnim; Sheldon X.-D. Tan (ASP-DAC, 2022)

Conceptual Prerequisites for Proportional Analogy. - Shuyuan Yu; Ho-Chieh Lin; John Opfer (CogSci, 2022)

Scaled-CBSC: scaled counting-based stochastic computing multiplication for improved accuracy. - Shuyuan Yu; Sheldon X.-D. Tan (DAC, 2022)

PAALM: Power Density Aware Approximate Logarithmic Multiplier Design. - Shuyuan Yu; Sheldon X.-D. Tan (ASP-DAC, 2023)

Approximate and Stochastic Circuit Design With Improved Accuracy and Efficiency - Shuyuan Yu (2023)

MAGIC-DHT: Fast in-memory computing for Discrete Hadamard Transform. - Maliha Tasnim; Chinmay Raje; Shuyuan Yu; Elaheh Sadredini; Sheldon X.-D. Tan (Integr., 2023)

Fast and Scaled Counting-Based Stochastic Computing Divider Design. - Yibo Liu; Shuyuan Yu; Maliha Tasnim; Sheldon X.-D. Tan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)