2025 Dong, P.*, Tan, Y.*, Liu, X., Luo, P., Liu, Y., Liang, L., … & Cheng, K. T.
A 28nm 0.22uJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation.
In 2025 IEEE International Solid-State Circuits Conference (ISSCC), IEEE.
2024 Dong, P.*, Tan, Y.*, Zhang, D., Ni, T., Liu, X., Liu, Y., … & Cheng, K. T.
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers.
In 2024 61st ACM/IEEE Design Automation Conference (DAC), IEEE.
2022 Tan, Y.*, Deng, H.*, Sun, M., Zhou, M., Chen, Y., Chen, L., … & An, F.
A Reconfigurable Coprocessor for Simultaneous Localization and Mapping Algorithms in FPGA.
IEEE Transactions on Circuits and Systems II: Express Briefs, 70(1), 286-290.
2022 Tan, Y.*, Sun, M.*, Deng, H., Wu, H., Zhou, M., Chen, Y., … & An, F.
A Reconfigurable Visual-Inertial Odometry Accelerated Core with High Area and Energy Efficiency for Autonomous Mobile Robots.
Sensors, 22(19), 7669.
* Both authors contributed equally to this research.