Kai Liu

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time

Yusen Feng, Bingchen Han, Jiangran Lyu, Kai Liu, Yixin Zheng, Yuxuan Wan, et al.

Steering robot foundation models (RFMs) toward new task variants or user-preferred behaviors remains challenging, often requiring additional robot demonstrations, task-specific fine-tuning, or long-context conditioning. We present WAM-TTT, a test-time training framework for steer…Read more

Expert-Rule-Augmented Machine Learning for Autonomous Controllability Evaluation of Power Equipment with Missing Data

Kai Liu, Mengyue Zhang, Zengchao Wang, Wangsong Wu, Hanhua Luo, Yanpeng Hao, et al.

To address the challenges of quantifying expert experience, handling missing data, and managing class imbalance in evaluating the autonomous controllability of power equipment, this paper proposes a quantitative evaluation method that integrates expert prior rules with machine le…Read more

Classification of Partial Discharge in Vehicle-Mounted Cable Termination of High-Speed Electric Multiple Unit: A Machine Learning-Based Approach

Yanhua Yang, Jiali Li, Zhenbao Chen, Yong-Chao Liu, Kui Chen, Kai Liu, et al.

This paper presents a machine learning-based approach to identify and separate partial discharge (PD) and two typical pulse interference (PI) signals in the vehicle-mounted cable terminations of high-speed electric multiple units (EMUs). First, a test platform was established to…Read more

Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu

Ziyu Jiang, Ming Wang, Kai Liu

Landslide is a natural disaster that seriously affects human life and social development. In this study, the characteristics and effectiveness of convolutional neural network (CNN) and conventional machine learning (ML) methods in a landslide susceptibility assessment (LSA) are c…Read more

Multi-machine learning framework for the modulus back-calculation of asphalt pavement using measured FWD deflection basin

Xianyong Ma, Chengshang Ren, Xiaotong Han, Xiangyang Li, Shafi Ullah, Zejiao Dong, et al.