News
2024.03 Our paper “FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks” has received Best Paper Award from DATE 2024.
2024.02 Our paper “MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks” has been accepted by DAC.
2023.11 Our paper “FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks” has been nominated as a Best Paper Award Candidate.
2023.11 Our paper “FusionArch: A Fusion-Based Accelerator for Point-Based Point Cloud Neural Networks” has been accepted by DATE.
2023.11 Our paper “Sava: A Spatial- and Value-Aware Accelerator for Point Cloud Transformers” has been accepted by DATE.
Research
Current research interests focuses on:
- Neural Network Accelerator (神经网络加速器)
- General-Purpose Graphics Processing Units (GPGPU) (通用图形处理器)
- Point Cloud (点云)
- Point Cloud Neural Network (点云神经网络)
- Point Cloud Compression (点云压缩)
- Point Cloud Rendering (点云渲染)