QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference. - Xinkuang Geng; Siting Liu 001; Leibo Liu; Jie Han 001; Honglan Jiang (DAC, 2024)

Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks. - Xinkuang Geng; Siting Liu 001; Jianfei Jiang 001; Kai Jiang; Honglan Jiang (DATE, 2024)

A Configurable Approximate Multiplier for CNNs Using Partial Product Speculation. - Xiaolu Hu; Ao Liu; Xinkuang Geng; Zizhong Wei; Kai Jiang; Honglan Jiang (DATE, 2024)

A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System. - Wenhui Zhang; Xinkuang Geng; Qin Wang 009; Jie Han 001; Honglan Jiang (ACM Great Lakes Symposium on VLSI, 2024)

Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models. - Xinkuang Geng; Siting Liu 001; Hui Wang 023; Jie Han 001; Honglan Jiang (DATE, 2025)

Segment-Wise Accumulation: Low-Error Logarithmic Domain Computing for Efficient Large Language Model Inference. - Xinkuang Geng; Yunjie Lu; Hui Wang 023; Honglan Jiang (DATE, 2025)

A Low-Power Mixed-Precision Integrated Multiply-Accumulate Architecture for Quantized Deep Neural Networks. - Xiaolu Hu; Xinkuang Geng; Zhigang Mao; Jie Han 001; Honglan Jiang (DATE, 2025)