Yanyue Xie

According to our database, Yanyue Xie authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression.

Lei Lu, Yanyue Xie, Wei Jiang, Wei Wang, Xue Lin, Yanzhi Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers.

Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs.

Geng Yang, Yanyue Xie, Zhong Jia Xue, Sung-En Chang, Yanyu Li, Peiyan Dong, Jie Lei, Weiying Xie, Yanzhi Wang, Xue Lin, Zhenman Fang

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits.

Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

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

Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang

CoRR, 2023

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.

Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Machine Learning Across Network-Connected FPGAs.

Dana Diaconu, Yanyue Xie, Mehmet Güngör, Suranga Handagala, Xue Lin, Miriam Leeser

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers.

Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang

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.

Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration.

Zhengang Li, Yanyue Xie, Peiyan Dong, Olivia Chen, Yanzhi Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Incremental Placement Flow for Advanced FPGAs With Timing Awareness.

Zhifeng Lin, Yanyue Xie, Peng Zou, Sifei Wang, Jun Yu, Jianli Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Mixed-Cell-Height Placement With Complex Minimum-Implant-Area Constraints.

Jianli Chen, Zhifeng Lin, Yanyue Xie, Wenxing Zhu, Yao-Wen Chang

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.

Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang

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.

Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.

Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang

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.

Peiyan Dong, Yanyue Xie, Hongjia Li, Mengshu Sun, Olivia Chen, Nobuyuki Yoshikawa, Yanzhi Wang

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.

Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang

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.

Zhifeng Lin, Yanyue Xie, Gang Qian, Jianli Chen, Sifei Wang, Jun Yu, Yao-Wen Chang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Late Breaking Results: An Analytical Timing-Driven Placer for Heterogeneous FPGAs^*.

Zhifeng Lin, Yanyue Xie, Gang Qian, Sifei Wang, Jun Yu, Jianli Chen

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020