1. S. Han : Compressing deep neural networks with pruning, trained quantization and huffman coding," in Proc . ICLR , 2016 . S. Han et al., "Deep Compression: Compressing deep neural networks with pruning, trained quantization and huffman coding," in Proc. ICLR, 2016.
2. T. Chen , " An efficient sharing grouped convolution via Bayesian learning," IEEE TNNLS , 2021 . T. Chen et al., "An efficient sharing grouped convolution via Bayesian learning," IEEE TNNLS, 2021.
3. X. Zhang , " Exploring HW/SW co-design for video analysis on CPU-FPGA heterogeneous systems," IEEE TCAD , 2021 . X. Zhang et al., "Exploring HW/SW co-design for video analysis on CPU-FPGA heterogeneous systems," IEEE TCAD, 2021.
4. T.-M. Li , " Differentiable programming for image processing and deep learning in Halide," ACM SIGGRAPH , 2018 . T.-M. Li et al., "Differentiable programming for image processing and deep learning in Halide," ACM SIGGRAPH, 2018.
5. T. Chen : An automated end-to-end optimizing compiler for deep learning," in Proc . OSDI , 2018 . T. Chen et al., "TVM: An automated end-to-end optimizing compiler for deep learning," in Proc. OSDI, 2018.