Yanyue Xie

Orcid: 0000-0002-4325-521X

According to our database1, Yanyue Xie authored at least 16 papers between 2020 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits.
CoRR, 2023

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Machine Learning Across Network-Connected FPGAs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
An Incremental Placement Flow for Advanced FPGAs With Timing Awareness.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Mixed-Cell-Height Placement With Complex Minimum-Implant-Area Constraints.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.
Proceedings of the Computer Vision - ECCV 2022, 2022

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
Timing-Driven Placement for FPGAs with Heterogeneous Architectures and Clock Constraints.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Late Breaking Results: An Analytical Timing-Driven Placer for Heterogeneous FPGAs<sup>*</sup>.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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