Erhöhung der Schärfentiefe eines optischen Systems. - Xiangchen Wu; Dieter Jördens (DAGM-Symposium, 1990)

3D-Rekonstruktion mikroskopischer Bilder unter Berücksichtigung der Lichtabsorption. - Xiangchen Wu; Peter Schwarzmann (DAGM-Symposium, 1993)

A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. - Md Mamunur Rahaman; Chen Li 022; Xiangchen Wu; Yudong Yao; Zhijie Hu; Tao Jiang 014; Xiaoyan Li; Shouliang Qi (IEEE Access, 2020)

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques. - Md Mamunur Rahaman; Chen Li 022; Yudong Yao; Frank Kulwa; Xiangchen Wu; Xiaoyan Li; Qian Wang (Comput. Biol. Medicine, 2021)

An Accurate and Robust Step Detection Method Based on Continuous Wavelet Transform. - Yang Zou 001; Xiaoqin Zeng; Xiaoxiang Lu; Keman Zhang; Xiangchen Wu (DMSVIVA, 2022)

Attention-based mechanism for text detection in indoor scenes. - Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu; Lixin Han; Keman Zhang (DMSVIVA, 2022)

Auto-Encoding GAN for Reducing Mode Collapse and Enhancing Feature Representation. - Xiaoxiang Lu; Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu; Pengfei Qiu (SEKE, 2022)

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. - Wanli Liu; Chen Li 022; Md Mamunur Rahaman; Tao Jiang 014; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. - Wanli Liu; Chen Li 022; Ning Xu 012; Tao Jiang 014; Md Mamunur Rahaman; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Pattern Recognit., 2022)

Directional Residual Frame: Turns the motion information into a static RGB frame (S). - Pengfei Qiu; Yang Zou 001; Xiaoqin Zeng; Xiaoxiang Lu; Xiangchen Wu (DMSVIVA, 2023)

Fork Entropy: Assessing the Diversity of Open Source Software Projects' Forks. - Liang Wang 006; Zhiwen Zheng; Xiangchen Wu; Baihui Sang; Jierui Zhang; Xianping Tao (ASE, 2023)

Directional Residual Frame: Turns the motion information into a static RGB frame. - Pengfei Qiu; Yang Zou 001; Xiaoqin Zeng; Xiangchen Wu (J. Vis. Lang. Comput., 2023)

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. - Zizhen Fan; Xiangchen Wu; Changzhong Li; Haoyuan Chen; Wanli Liu; Yuchao Zheng; Jing Chen; Xiaoyan Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (Comput. Biol. Medicine, 2023)

FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions. - Jin Yuan; Xiangchen Wu; Changzhong Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2024)

Step detection in complex walking environments based on continuous wavelet transform. - Xiangchen Wu; Xiaoqin Zeng; Xiaoxiang Lu; Keman Zhang (Multim. Tools Appl., 2024)

EarlyPR: Early Prediction of Potential Pull-Requests from Forks. - Xiangchen Wu; Liang Wang 006; Xianping Tao (SANER, 2025)

An entropy-based measure of fork diversity and its correlations with open source software projects' received contributions. - Xiangchen Wu; Liang Wang 006; Zhiwen Zheng; Baihui Sang; Jierui Zhang; Xianping Tao (Empir. Softw. Eng., 2025)