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Y. Zhang

VersaQ-3D: A Reconfigurable Accelerator Enabling Feed-Forward and Generalizable 3D Reconstruction via Versatile Quantization
DRACO: Co-design for DSP-Efficient Rigid Body Dynamics Accelerator
FLEX: Leveraging FPGA-CPU Synergy for Mixed-Cell-Height Legalization Acceleration
HERO: Hardware-Efficient RL-based Optimization Framework for NeRF Quantization
Robotic Computing System and Embodied AI Evolution: An Algorithm-Hardware Co-Design Perspective
SpNeRF: Memory Efficient Sparse Volumetric Neural Rendering Accelerator for Edge Devices
UNIT: A Highly Unified and Memory-Efficient FPGA-Based Accelerator for Torus FHE

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