Kai Zhang

EEG-ConvMamba: Motor imagery EEG decoding and visualization via convolutional neural networks and Mamba⋆

Jianxin Huang, Yinghui Chang, Sen Yang, Jigang Tong, Kai Zhang, Shengzhi Du

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting

Wan Zhang, Qinjie Lin, Chan Lee, Weijian Li, Han Liu, Kai Zhang

Forecasting multiple time-series with high-dimensional covariates presents a core challenge: unifying common temporal patterns while retaining meaningful series-specific information. We introduce Hopformer (Homogeneity-Pursuit Transformer), a two-stage framework that addresses th…Read more

Research on Mechanical Mechanism of Instability in Overlying Strata–Abandoned Coal Pillar Groups in Strip Mining of Inclined Coal Seam

H B Wang, Yuehua Chen, Jie Yang, Honglin Liu, Guodong Li, Zhou Chang, et al.

In mining methods such as the “three-underground” shortwall strip mining and other methods involving coal pillar retention, research on the instability mechanism of overburden–coal pillar groups considering the rheological properties of coal and rock is of great significance for…Read more

ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching

Yuhang He, Kai Zhang, Xiaoming Li, Du Chen, Jian Yang

Color transfer aims to align the color distribution of a source image with that of a reference image while preserving structural and semantic consistency. However, existing methods often suffer from inaccurate global mapping, semantic misalignment, and visual artifacts. To addres…Read more

DriftST: One-Step Generative Inference of Spatial Transcriptomics from H\&E Histology

Yuhang Yang, Yonggan Bu, Shengyuan Zhou, Yiming Luo, Kai Zhang

Spatial Transcriptomics (ST) measures gene expression while preserving spatial context, but its high cost and low throughput leave public datasets small. Inferring expression directly from widely available Hematoxylin and Eosin (H&E) stained histology offers a cost-effective alte…Read more

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes

Xi Li, Linyuan Li, Yan Wu, Tong Rao, Kai Zhang, Xinchen Hui, et al.

Metric feed-forward 3D reconstruction for panoramic data remains under-explored due to the lack of large-scale panoramic RGB-D training data. We present Realsee3D, a hybrid dataset of 10K indoor scenes (1K real, 9K synthetic) with 299K panoramic viewpoints and precise metric anno…Read more

Machine Learning-Based Human Posture Identification from Point Cloud Data Acquisitioned by FMCW Millimetre-Wave Radar

Guangcheng Zhang, Shenchen Li, Kai Zhang, Yueh-Jaw Lin

Human posture recognition technology is widely used in the fields of healthcare, human-computer interaction, and sports. The use of a Frequency-Modulated Continuous Wave (FMCW) millimetre-wave (MMW) radar sensor in measuring human posture characteristics data is of great signific…Read more

Scenario Generation for Autonomous Vehicles with Deep-Learning-Based Heterogeneous Driver Models: Implementation and Verification

Li Gao , Rui Zhou, Kai Zhang

Virtual testing requires hazardous scenarios to effectively test autonomous vehicles (AVs). Existing studies have obtained rarer events by sampling methods in a fixed scenario space. In reality, heterogeneous drivers behave differently when facing the same situation. To generate…Read more