| 2023 | ASPDAC | PAALM: Power Density Aware Approximate Logarithmic Multiplier Design. | Shuyuan Yu, Sheldon X.-D. Tan |
| 2022 | ASPDAC | HEALM: Hardware-Efficient Approximate Logarithmic Multiplier with Reduced Error. | Shuyuan Yu, Maliha Tasnim, Sheldon X.-D. Tan |
| 2022 | CogSci | Conceptual Prerequisites for Proportional Analogy. | Shuyuan Yu, Ho-Chieh Lin, John Opfer |
| 2022 | DAC | Scaled-CBSC: scaled counting-based stochastic computing multiplication for improved accuracy. | Shuyuan Yu, Sheldon X.-D. Tan |
| 2021 | CogSci | Cognitive Supports for Objective Numeracy. | Shuyuan Yu, John Opfer |
| 2021 | DAC | COSAIM: Counter-based Stochastic-behaving Approximate Integer Multiplier for Deep Neural Networks. | Shuyuan Yu, Yibo Liu, Sheldon X.-D. Tan |
| 2020 | ASPDAC | Reliable Power Grid Network Design Framework Considering EM Immortalities for Multi-Segment Wires. | Han Zhou, Shuyuan Yu, Zeyu Sun, Sheldon X.-D. Tan |
| 2020 | CASES | Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management: Work-in-Progress. | Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Jrg Henkel, Sheldon X.-D. Tan |
| 2020 | CogSci | 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 |
| 2018 | CogSci | Source Retrieval Cues Facilitate Transfer in Fraction Learning. | Shuyuan Yu, John Opfer |
| 2013 | AVSS | Vehicle logo recognition based on Bag-of-Words. | Shuyuan Yu, Shibao Zheng, Hua Yang, Longfei Liang |