Mingkai Liu

According to our database, Mingkai Liu authored at least 15 papers between 2013 and 2026.

Collaborative distances:

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

2026

MotiMem: Motion-Aware Approximate Memory for Energy-Efficient Neural Perception in Autonomous Vehicles.

Haohua Que, Mingkai Liu, Jiayue Xie, Haojia Gao, Jiajun Sun, Hongyi Xu, Handong Yao, Fei Qiao

CoRR, March, 2026

Hybrid Cross-Device Localization via Neural Metric Learning and Feature Fusion.

Meixia Lin, Mingkai Liu, Shuxue Peng, Dikai Fan, Shengyu Gu, Xianliang Huang, Haoyang Ye, Xiao Liu

CoRR, January, 2026

MsLAF-Net: A Lightweight Network for Massive MIMO CSI Feedback by Multi-Scale Feature Fusion.

Yichen Han, Mingkai Liu, Xiangpu Liu, Fengkui Gong

IEEE Commun. Lett., 2026

PAICar: a prototype of an embodied neuromorphic intelligent robot platform.

Shuo Feng, Mingkai Liu, Jingyi Zhong, Guang Chen, Yi Zhong, Zilin Wang, Chenglong Zou, Xiaoxin Cui, Jian Cao, Yuan Wang

Sci. China Inf. Sci., 2026

FM-SAM: individual tree crown delineation and classification based on Segmentation Anything Model (SAM) and YOLOv10 in UAV imagery for forest monitoring.

Haohua Que, Haojia Gao, Weihao Shan, Mingkai Liu, Jianshuo An, Fei Deng, Shuo Feng, Xinghua Yang, Lei Mu

Comput. Electron. Agric., 2026

2025

MACE: Mixture-of-Experts Accelerated Coordinate Encoding for Large-Scale Scene Localization and Rendering.

Mingkai Liu, Dikai Fan, Haohua Que, Haojia Gao, Xiao Liu, Shuxue Peng, Meixia Lin, Shengyu Gu, Ruicong Ye, Wanli Qiu, Handong Yao, Ruopeng Zhang, Xianliang Huang

CoRR, October, 2025

SenseExpo: Efficient Autonomous Exploration with Prediction Information from Lightweight Neural Networks.

Haojia Gao, Haohua Que, Hoiian Au, Weihao Shan, Mingkai Liu, Yusen Qin, Lei Mu, Rong Zhao, Xinghua Yang, Qi Wei, Fei Qiao

CoRR, March, 2025

Reliability analysis of concrete gravity dams based on the Bayesian line sampling algorithm and global sensitivity analysis method.

Mingkai Liu, Yanpian Mao, Yining Qi, Huaizhi Su, Jin Yuan, Zhiyong Qi, Xuhuang Du

Expert Syst. Appl., 2025

Deformation prediction model for concrete dams considering the effect of solar radiation.

Mingkai Liu, Yining Qi, Huaizhi Su

Adv. Eng. Informatics, 2025

Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration.

Haojia Gao, Haohua Que, Kunrong Li, Weihao Shan, Mingkai Liu, Rong Zhao, Lei Mu, Xinghua Yang, Qi Wei, Fei Qiao

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

High-Precision Digital Clock Steering Method Based on Discrete Σ-Δ Modulation for GNSS.

Mingkai Liu, Zhijun Meng, Enqi Yan, Suyang Liu, Yinhong Lv, Xiye Guo, Jun Yang

Remote. Sens., August, 2024

Deformation prediction based on denoising techniques and ensemble learning algorithms for concrete dams.

Mingkai Liu, Zhiping Wen, Huaizhi Su

Expert Syst. Appl., March, 2024

2023

A Survey of Approximate Computing: From Arithmetic Units Design to High-Level Applications.

Haohua Que, Yu Jin, Tong Wang, Mingkai Liu, Xinghua Yang, Fei Qiao

J. Comput. Sci. Technol., April, 2023

A Selective Bit Dropping and Encoding Co-Strategy in Image Processing for Low-Power Design in DRAM and SRAM.

Mingkai Liu, Haohua Que, Xinghua Yang, Kaitong Zhang, Qingyang Yu, Lingxiao Yan, Tong Wang, Yu Jin, Ni Zhou

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

2013

Ambiguity Mitigating Technique for Multiplexed Binary Carrier Signal Tracking.

Dingjie Xu, Mingkai Liu, Feng Shen

IEEE Commun. Lett., 2013