JFMNet: Joint Fusion Multi-Networks for Image Dehazing and Denoising in The Port Environment. - Guancheng Lin; Yijie Zheng; Zhihong Xu; Tianzhi Xia; Peng Yuan (ICMLC, 2022)

Revisiting "code smell severity classification using machine learning techniques". - Wenhua Hu; Lei Liu 062; Peixin Yang; Kuan Zou; Jiajun Li; Guancheng Lin; Jianwen Xiang (COMPSAC, 2023)

Quaternion fractional-order weighted generalized Laguerre-Fourier moments and moment invariants for color image analysis. - Bing He; Jun Liu; Guancheng Lin; Cheng Peng; Wenqiang Xi (Signal Process. Image Commun., 2023)

Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study. - Yanzhong He; Guancheng Lin; Xiaoxue Ma; Jacky Wai Keung; Cheng Tan; Wenhua Hu; Fuyang Li (Internetware, 2024)

HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks. - Fengji Zhang; Linquan Wu; Huiyu Bai; Guancheng Lin; Xiao Li; Xiao Yu 008; Yue Wang; Bei Chen; Jacky Keung (CoRR, 2024)

Revisiting Code Smell Severity Prioritization using learning to rank techniques. - Lei Liu; Guancheng Lin; Lin Zhu; Zhen Yang; Peilin Song; Xin Wang 114; Wenhua Hu (Expert Syst. Appl., 2024)

Improving effort-aware defect prediction by directly learning to rank software modules. - Xiao Yu 008; Jiqing Rao; Lei Liu 062; Guancheng Lin; Wenhua Hu; Jacky Wai Keung; Junwei Zhou 002; Jianwen Xiang (Inf. Softw. Technol., 2024)

Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection. - Xiao Yu 008; Guancheng Lin; Xing Hu 008; Jacky Wai Keung; Xin Xia 001 (ACM Trans. Softw. Eng. Methodol., 2025)