Tianyu Liao

Orcid: 0009-0008-2114-4990

According to our database1, Tianyu Liao authored at least 7 papers between 2018 and 2025.

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

Timeline

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Links

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Bibliography

2025
Kung-Fu: An Energy-Efficient Compute-In-Memory Approach for Neural Network Inference Using Multi-Level Binary Computing Fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

DCiROM: A Fully Digital Compute-in-ROM Design Approach to High Energy Efficiency of DNN Inference at Task Level.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
Cramming More Weight Data Onto Compute-in-Memory Macros for High Task-Level Energy Efficiency Using Custom ROM With 3984-kb/mm<sup>2</sup> Density in 65-nm CMOS.
IEEE J. Solid State Circuits, June, 2024

A 28nm 166.9 TOPS/W x Mb/mm<sup>2</sup> DRAM-Free QLC Compute-in-ROM Macro Supporting High Task-Level Inference Energy Efficiency for Tiny AI Edge Devices.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2024

2023
Lowering Latency of Embedded Memory by Exploiting In-Cell Victim Cache Hierarchy Based on Emerging Multi-Level Memory Devices.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2018
Investigating Cross-domain Redundancies in the Context of Vehicle Automation - A Trajectory Tracking Perspective.
CoRR, 2018

Investigating Functional Redundancies in the Context of Vehicle Automation - A Trajectory Tracking Perspective.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


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