I am Tianchen Zhao, currently a Phd. student at NICS-EFC, EE Dept., Tsinghua University. My main research focus is Efficient Deep Learning algorithms, and software-hardware co-design. My recent research interest is Effiicent AIGC (diffusion-based generation methods).
📤 Feel free to contact me through suozhang1998@gmail.com for discussion and cooperaion, and our lab is open for visting student, please ref here
I've done research about these compression techniques:
- Network Pruning: (structural pruning for CNN)
- Quantization: (binary network, low-bit training)
- Neural Architecture Search: (participate in developing aw_nas a modularized NAS framework)
- Adaptive Inference: (adaptive inference for 3D voxel-based CNN)
and these applications:
- Autonomous Driving (3D Transformer & efficient lidar-based perception, intern at Novauto Inc.)
- AIGC (efficient Diffusion methods)