Variational Context-Deformable ConvNets for Indoor Scene Parsing. - Zhitong Xiong; Yuan Yuan 001; Nianhui Guo; Qi Wang 009 (CVPR, 2020)

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. - Nianhui Guo; Joseph Bethge; Haojin Yang; Kai Zhong; Xuefei Ning; Christoph Meinel; Yu Wang 002 (CoRR, 2021)

Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket. - Nianhui Guo; Joseph Bethge; Christoph Meinel; Haojin Yang (CoRR, 2022)

Gradient Matters: Designing Binarized Neural Networks via Enhanced Information-Flow. - Qi Wang 009; Nianhui Guo; Zhitong Xiong; Zeping Yin; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards Optimization-Friendly Binary Neural Network. - Nianhui Guo; Joseph Bethge; Hong Guo; Christoph Meinel; Haojin Yang (Trans. Mach. Learn. Res., 2023)

Enhancing Optimization Robustness in 1-Bit Neural Networks Through Stochastic Sign Descent. - Nianhui Guo; Hong Guo; Christoph Meinel; Haojin Yang (ECCV (31), 2024)

Low-bit CUTLASS GEMM Template Auto-tuning using Neural Network. - Hong Guo; Nianhui Guo; Christoph Meinel; Haojin Yang (ISPA, 2024)