A Quad Tree Based Self-collision Detection Method for Cloth Simulation. - Bing He; Liu Cheng (J. Comput., 2010)

Study on the meticulous management mode in shaanxi local construction enterprises based on ERP. - Liu Cheng (EMEIT, 2011)

A Research on Expatriate Cross- Cultural Adjustment and Job Performance in MNCs. - Khikmatullo Kudratov; Liu Cheng (ICITCS, 2014)

White Blood Cells Classification with Deep Convolutional Neural Networks. - Ming Jiang 009; Liu Cheng; Feiwei Qin; Lian Du; Min Zhang 029 (Int. J. Pattern Recognit. Artif. Intell., 2018)

Defect Classification Method of X-ray Images Based on Improved U-Net. - Haochen Qi; Huiyan Ji; Jiqiang Zhang; Liu Cheng; Xiangwei Kong (AISS, 2022)

Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning. - Kaipeng Zheng; Liu Cheng; Jie Shen (IJCNN, 2022)

A Novel Adversarial One-Shot Cross-Domain Network for Machinery Fault Diagnosis With Limited Source Data. - Liu Cheng; Xiangwei Kong; Jiqiang Zhang; Mingzhu Yu (IEEE Trans. Instrum. Meas., 2022)

Multiple-instance learning for EEG based OSA event detection. - Liu Cheng; Shengqiong Luo; Baozhu Li; Ran Liu; Yuan Zhang 007; Haibo Zhang 001 (Biomed. Signal Process. Control., 2023)

EEG-CLNet: Collaborative Learning for Simultaneous Measurement of Sleep Stages and OSA Events Based on Single EEG Signal. - Liu Cheng; Shengqiong Luo; Xinge Yu; Hemant Ghayvat; Haibo Zhang 001; Yuan Zhang 007 (IEEE Trans. Instrum. Meas., 2023)

S3M: Two-Stage-Based Semi-Self-Supervised Method for Intelligent Bearing Fault Diagnosis. - Liu Cheng; Rengen Wang; Haochen Qi; Xiangwei Kong; Jiqiang Zhang; Mingzhu Yu (IEEE Trans. Instrum. Meas., 2023)

Enhancing Few-Shot Malware Classification Through Joint Learning of Malware Images and Opcode Sequences. - Hanjun Li 005; Shuhong Chen; Guojun Wang 001; Liu Cheng; Haojie Yin; Zhenkun Luo (ISPA, 2024)

A novel causal feature learning-based domain generalization framework for bearing fault diagnosis with a mixture of data from multiple working conditions and machines. - Liu Cheng; Xiangwei Kong; Yongchao Zhang; Yunpeng Zhu; Haochen Qi; Jiqiang Zhang (Adv. Eng. Informatics, 2024)

AeroClick: An advanced single-click interactive framework for aeroengine defect segmentation. - Haochen Qi; Xiangwei Kong; Zinan Wang; Jianyi Gu; Liu Cheng (Expert Syst. Appl., 2024)

FS-PTL: A unified few-shot partial transfer learning framework for partial cross-domain fault diagnosis under limited data scenarios. - Liu Cheng; Haochen Qi; Rongcai Ma; Xiangwei Kong; Yongchao Zhang; Yunpeng Zhu (Knowl. Based Syst., 2024)

Addressing Fine-Grained Lake Water Body Extraction: A Hybrid Approach Combining Vision Transformer and Geodesic Active Contour. - Haochen Qi; Xiangwei Kong; Liu Cheng; Jiexin Hu; Jianyi Gu (IEEE Trans. Geosci. Remote. Sens., 2024)

WDLS: Deep Level Set Learning for Weakly Supervised Aeroengine Defect Segmentation. - Haochen Qi; Liu Cheng; Xiangwei Kong; Jiqiang Zhang; Jianyi Gu (IEEE Trans. Ind. Informatics, 2024)

Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network. - Zhunan Shen; Xiangwei Kong; Liu Cheng; Rengen Wang; Yunpeng Zhu (Sensors, 2024)

SAIT: Harnessing Sparse Annotations and Intrinsic Tasks for Semisupervised Aeroengine Defect Segmentation. - Haochen Qi; Xiangwei Kong; Zhitong Liu; Jianyi Gu; Liu Cheng (IEEE Trans. Ind. Informatics, 2024)