Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics. - Ruoyang Liu; Chenhan Wei; Yixiong Yang; Wenxun Wang; Huazhong Yang; Yongpan Liu (ASP-DAC, 2023)

A 28nm 1.07TFLOPS/mm2 Dynamic-Precision Training Processor with Online Dynamic Execution and Multi- Level-Aligned Block-FP Processing. - Yixiong Yang; Ruoyang Liu; Chenhan Wei; Wenxun Wang; Wenyu Sun; Jinshan Yue; Huazhong Yang; Yongpan Liu (CICC, 2023)

A Dynamic Execution Neural Network Processor for Fine-Grained Mixed-Precision Model Training Based on Online Quantization Sensitivity Analysis. - Ruoyang Liu; Chenhan Wei; Yixiong Yang; Wenxun Wang; Binbin Yuan; Huazhong Yang; Yongpan Liu (IEEE J. Solid State Circuits, 2024)

MPICC: Multiple-Precision Inter-Combined MAC Unit with Stochastic Rounding for Ultra-Low-Precision Training. - Leran Huang; Yongpan Liu; Xinyuan Lin; Chenhan Wei; Wenyu Sun; Zengwei Wang; Boran Cao; Chi Zhang; Xiaoxia Fu; Wentao Zhao; Sheng Zhang (ASP-DAC, 2025)

A 28nm 3.14 TFLOP/W BF16 LLM Fine-Tuning Processor with Asymmetric Quantization Computing for AI PC. - Xinyuan Lin; Leran Huang; Chenhan Wei; Wenbin Jia; Hedi Wang; Wenxun Wang; Hongyang Jia; Huazhong Yang; Yongpan Liu (CICC, 2025)