Publications

Reinforcement Learning-based 3D Floorplanner with Die Swapping Mechanism

Published in International Symposium of EDA (ISEDA), 2026., 2026

Recommended citation: Qin Luo, Hailiang Li, Evangeline F.Y. Young. Reinforcement Learning-based 3D Floorplanner with Die Swapping Mechanism. International Symposium of EDA (ISEDA), 2026.

TRPlaceFPGA-MP: A Two-stage Reinforcement Learning Framework for Fast FPGA Macro Placer

Published in The 35th International Conference on Field-Programmable Logic and Applications (FPL)., 2025

Recommended citation: Qin Luo, Xinshi Zang, Evangeline F.Y. Young, Martin D.F. Wong. TRPlaceFPGA-MP: A Two-stage Reinforcement Learning Framework for Fast FPGA Macro Placer. The 35th International Conference on Field-Programmable Logic and Applications (FPL), 2025. (Download paper here)

Dynamic Multi-FPGA Prototyping Platforms with Simultaneous Networking, Placement and Routing.

Published in Great Lakes Symposium on VLSI 2024 (GLSVLSI ’24)., 2024

Recommended citation: Xinshi Zang, Qin Luo, Zhongwei Shao, Jifeng Zhang, Evangeline F.Y. Young, and Martin D.F. Wong. Dynamic Multi-FPGA Prototyping Platforms with Simultaneous Networking, Placement and Routing. Great Lakes Symposium on VLSI 2024 (GLSVLSI ’24), June 12–14, 2024, Clearwater, FL, USA. (Download paper here)

A Routability-Driven Ultrascale FPGA Macro Placer with Complex Design Constraints.

Published in 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)., 2024

Recommended citation: Qin Luo, Xinshi Zang, Qijing Wang, Fangzhou Wang, Evangeline F.Y. Young, Martin D.F. Wong. A Routability-Driven Ultrascale FPGA Macro Placer with Complex Design Constraints. 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). (Download paper here)

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels.

Published in International Joint Conference on Neural Networks (IJCNN), 2021

Recommended citation: Qin Luo, Kun Fang, Jie Yang, Xiaolin Huang**. Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels. International Joint Conference on Neural Networks (IJCNN), 2021. (Download paper here)

Mixed-precision Quantized Neural Networks with Progressively Decreasing Bitwidth.

Published in Pattern Recognition, 2021

Recommended citation: Tianshu Chu, Qin Luo, Jie Yang, Xiaolin Huang**, Mixed-precision Quantized Neural Networks with Progressively Decreasing Bitwidth. Pattern Recognition (PR), 2021, 111: 107647. (Download paper here)