Dong, Peiyan

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning

Kong, Z., Dong, P., Ma, X., Meng, X., Niu, W., Sun, M., Shen, X., Yuan, G., Ren, B., Tang, H., et al. (2022) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 169

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Dong, P., Sun, M., Lu, A., Xie, Y., Liu, K., Kong, Z., Meng, X., Li, Z., Lin, X., Fang, Z., et al. (2023) · 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 128

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Shen, X., Dong, P., Lu, L., Kong, Z., Li, Z., Lin, M., Wu, C., & Wang, Y. (2023) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 38

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture

Dong, P., Zhuang, J., Yang, Z., Ji, S., Li, Y., Xu, D., Huang, H., Hu, J., Jones, A. K., Shi, Y., et al. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 35

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile

Dong, P., Lu, L., Wu, C., Lyu, C., Yuan, G., Tang, H., & Wang, Y. (2023) · Advances in Neural Information Processing Systems 36

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7