Yanyue Xie

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Li-Yu Daisy Liu, Zhenman Fang, Peiyan Dong, 2022, 2211.08110.

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Zhenman Fang, M. Leeser, Zhangyang Wang, 2022, 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL).

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

Zhenman Fang, M. Leeser, Zhangyang Wang, 2022, DAC.

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding

Zhenman Fang, Geng Yuan, Xiaolong Ma, 2022, ECCV.

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

Zhangyang Wang, Geng Yuan, Xiaolong Ma, 2022, ArXiv.

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Li-Yu Daisy Liu, Zhenman Fang, Peiyan Dong, 2022, 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices

Geng Yuan, Peiyan Dong, Z. Li, 2023, 2023 56th IEEE/ACM International Symposium on Microarchitecture (MICRO).

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

Peiyan Dong, Z. Li, Yanyue Xie, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).