Computer Science and Technology

Kang Liu

PhD, Associate Professor, Master's Supervisor

Personal Profile
Talent Training
Research Projects
Representative Achievements
Awards and Honors


Kang Liu, PhD, Associate Professor, Master's Supervisor.

Email: kangliu@cumtb.edu.cn

Educational Background:September 2011-June 2014, China University of Mining and Technology (Beijing), PhD in Computer Applications

Work Experience:

July 2023-Present, China University of Mining and Technology (Beijing), School of Artificial Intelligence, Associate Professor

July 2014-June 2023, China University of Mining and Technology (Beijing), School of Mechanical, Electrical and Information Engineering, Lecturer and Associate Professor




To Be Updated

1) Decoupling Extraction and Quantitative Recognition of Coal and Rock Information Features from Video Images for Unmanned Mining, National Natural Science Foundation of China - Youth Project, January 2023-December 2025, Project Leader, Research in Progress.

2) Shanxi Provincial Key R&D Project - Intelligent Analysis and Decision-Making of Waste Slag Wax Spectra, Shanxi Provincial Department of Science and Technology, January 2022-December 2024, Project Leader, Completed. 3) Research on intelligent evaluation and control mechanism of coal tunnel surrounding rock stability based on big data, National Natural Science Foundation of China - General Project, 2021.01-2024.12, Project participant, completed.

1) Books

[1]. Java Language and Network Programming (Micro Course Edition), Tsinghua University Press, 2022 (Undergraduate Textbook)

2) Papers

[1]. Liu K, Xv Z, Yang Z, et al. Continuous detail enhancement framework for low-light image enhancement[J]. Displays, 2025, 88: 103040.

[2]. Hu X, Liu K*, Yin X, et al. Wavelet-based enhancement network for low-light image[J]. Displays, 2025, 87: 102954.

[3]. Hu X P, Liu K*, Xv Z. BBCNet: Boundary-body coherence network with adaptive self-attention distillation for enhanced crack segmentation[J]. Digital Signal Processing, 2025, 162: 105148.

[4]. Liu K, Li X, Liu L, et al. AFMF: adaptive fusion of multi-hop neighborhood features in graph convolutional network[J]. Journal of King Saud University Computer and Information Sciences, 2025, 37(7): 1-29.

[5]. Liu K, Dai W, Liu X, et al. NHSH: Graph Hybrid Learning with Node Homophily and Spectral Heterophily for Node Classification[J]. Symmetry, 2025, 17(1): 115.

[6]. Liu K, Kang M, Li X, et al. LHGCN: A Laminated Heterogeneous Graph Convolutional Network for Modeling User–Item Interaction in E-Commerce[J]. Symmetry, 2024, 16(12): 1695.

[7]. Zhang Y, Liu K*, Bao H, et al. PMPF: Point-cloud multiple-pixel fusion-based 3D object detection for autonomous driving[J]. Remote Sensing, 2023, 15(6): 1580.

To Be Updated