iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. - Shien Zhu; Shuo Huai; Guochu Xiong; Weichen Liu (ISLPED, 2023)

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Shiqing Li; Guochu Xiong; Weichen Liu (ASPDAC, 2024)

Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Guochu Xiong; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Learning Cache Coherence Traffic for NoC Routing Design. - Guochu Xiong; Xiangzhong Luo; Weichen Liu (ACM Great Lakes Symposium on VLSI, 2025)

Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Guochu Xiong; Weichen Liu (ACM Trans. Embed. Comput. Syst., 2025)