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Books and Theses
- 2023
[b1]Shuyuan Yu:
Approximate and Stochastic Circuit Design With Improved Accuracy and Efficiency. University of California, Riverside, USA, 2023
Journal Articles
- 2024
- [j2]Yibo Liu
, Shuyuan Yu, Maliha Tasnim, Sheldon X.-D. Tan:
Fast and Scaled Counting-Based Stochastic Computing Divider Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2277-2287 (2024) - 2023
- [j1]Maliha Tasnim, Chinmay Raje, Shuyuan Yu, Elaheh Sadredini, Sheldon X.-D. Tan:
MAGIC-DHT: Fast in-memory computing for Discrete Hadamard Transform. Integr. 93: 102060 (2023)
Conference and Workshop Papers
- 2023
- [c13]Shuyuan Yu, Sheldon X.-D. Tan:
PAALM: Power Density Aware Approximate Logarithmic Multiplier Design. ASP-DAC 2023: 128-133 - 2022
- [c12]Shuyuan Yu, Maliha Tasnim, Sheldon X.-D. Tan:
HEALM: Hardware-Efficient Approximate Logarithmic Multiplier with Reduced Error. ASP-DAC 2022: 37-42 - [c11]Shuyuan Yu, Ho-Chieh Lin, John Opfer:
Conceptual Prerequisites for Proportional Analogy. CogSci 2022 - [c10]Shuyuan Yu, Sheldon X.-D. Tan:
Scaled-CBSC: scaled counting-based stochastic computing multiplication for improved accuracy. DAC 2022: 1003-1008 - 2021
- [c9]Shuyuan Yu, John Opfer:
Cognitive Supports for Objective Numeracy. CogSci 2021 - [c8]Shuyuan Yu, Yibo Liu, Sheldon X.-D. Tan:
COSAIM: Counter-based Stochastic-behaving Approximate Integer Multiplier for Deep Neural Networks. DAC 2021: 499-504 - [c7]Yibo Liu, Shuyuan Yu, Shaoyi Peng, Sheldon X.-D. Tan:
Runtime Long-Term Reliability Management Using Stochastic Computing in Deep Neural Networks. ISQED 2021: 553-558 - [c6]Shuyuan Yu, Yibo Liu, Sheldon X.-D. Tan:
Approximate Divider Design Based on Counting-Based Stochastic Computing Division. MLCAD 2021: 1-6 - 2020
- [c5]Han Zhou, Shuyuan Yu, Zeyu Sun, Sheldon X.-D. Tan:
Reliable Power Grid Network Design Framework Considering EM Immortalities for Multi-Segment Wires. ASP-DAC 2020: 74-79 - [c4]Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management: Work-in-Progress. CASES 2020: 1-3 - [c3]Shuyuan Yu, Dan Kim, Marta K. Mielicki, Charlies J. Fitzsimmons, Clarissa A. Thompson, John Opfer:
From Integers to Fractions: Developing a Coherent Understanding of Proportional Magnitude. CogSci 2020 - 2018
- [c2]Shuyuan Yu, John Opfer:
Source Retrieval Cues Facilitate Transfer in Fraction Learning. CogSci 2018 - 2013
- [c1]Shuyuan Yu, Shibao Zheng, Hua Yang, Longfei Liang:
Vehicle logo recognition based on Bag-of-Words. AVSS 2013: 353-358
Informal and Other Publications
- 2020
- [i1]Shuyuan Yu, Han Zhou, Shaoyi Peng, Hussam Amrouch, Jörg Henkel, Sheldon X.-D. Tan:
Run-Time Accuracy Reconfigurable Stochastic Computing for Dynamic Reliability and Power Management. CoRR abs/2004.13320 (2020)
Coauthor Index
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