Xinkuang Geng

According to our database, Xinkuang Geng authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

LUT-ALMs: Trading Off Accuracy and Power for Approximate Logarithmic Multipliers via LUT Optimization.

Wenhui Zhang, Xinkuang Geng, Xiaolu Hu, Hui Wang, Jianfei Jiang, Qin Wang, Siting Liu, Jie Han, Honglan Jiang

IEEE Trans. Computers, May, 2026

Approximate Signed Multiplier Designs for Efficient CNN Inference.

Mengshuo Zhang, Wenhui Zhang, Xiaolu Hu, Xinkuang Geng, Honglan Jiang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

HAP: Accelerating DNNs with Resolution-Preserved Quantization by Harnessing Adaptive-Precision.

Erjing Luo, Xinkuang Geng, Honglan Jiang, Leibo Liu, Jie Han

Proceedings of the Design, Automation & Test in Europe Conference, 2026

SA-ANT: Efficient Low-Bit Group-Wise Quantization for Large Language Models via Sign-Asymmetric Adaptive Numeric Type.

Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

A Low-Power Mixed-Precision Integrated Multiply-Accumulate Architecture for Quantized Deep Neural Networks.

Xiaolu Hu, Xinkuang Geng, Zhigang Mao, Jie Han, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Segment-Wise Accumulation: Low-Error Logarithmic Domain Computing for Efficient Large Language Model Inference.

Xinkuang Geng, Yunjie Lu, Hui Wang, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Lookup Table Refactoring: Towards Efficient Logarithmic Number System Addition for Large Language Models.

Xinkuang Geng, Siting Liu, Hui Wang, Jie Han, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System.

Wenhui Zhang, Xinkuang Geng, Qin Wang, Jie Han, Honglan Jiang

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

A Configurable Approximate Multiplier for CNNs Using Partial Product Speculation.

Xiaolu Hu, Ao Liu, Xinkuang Geng, Zizhong Wei, Kai Jiang, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Compact Powers-of-Two: An Efficient Non-Uniform Quantization for Deep Neural Networks.

Xinkuang Geng, Siting Liu, Jianfei Jiang, Kai Jiang, Honglan Jiang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference.

Xinkuang Geng, Siting Liu, Leibo Liu, Jie Han, Honglan Jiang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024