Yuan, Geng

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

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

Li, Z., Sun, M., Lu, A., Ma, H., Yuan, G., Xie, Y., Tang, H., Li, Y., Leeser, M., Wang, Z., et al. (2022) · 2022 32nd International Conference on Field-Programmable Logic and Applications (FPL)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 85

HMC-T RAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU

Huang, S., Chen, S., Peng, H., Manu, D., Kong, Z., Yuan, G., Yang, L., Wang, S., Liu, H., & Ding, C. (2021) · Proceedings of the 2021 Great Lakes Symposium on VLSI

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 4

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Liu, J., Kong, Z., Yang, C., Yang, F., Li, T., Dong, P., Nanjekye, J., Tang, H., Yuan, G., Niu, W., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0