An Efficient Vehicle Model Recognition Method. - Hui-Hua Yang; Lei Zhai; Lingqiao Li; Zhenbing Liu; Yichen Luo; Yong Wang; Haiyan Lai; Ming Guan (J. Softw., 2013)

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks. - Xipeng Pan; Lingqiao Li; Hui-Hua Yang; Zhenbing Liu; Jinxin Yang; Lingling Zhao; Yong-Xian Fan (Neurocomputing, 2017)

Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks. - Xipeng Pan; Dengxian Yang; Lingqiao Li; Zhenbing Liu; Huihua Yang; Zhiwei Cao; Yubei He; Zhen Ma; Yiyi Chen 001 (World Wide Web, 2018)

Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification. - Lingqiao Li; Xipeng Pan; Huihua Yang; Tao Zhang 010; Zhenbing Liu (IEEE Access, 2019)

An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network. - Xipeng Pan; Lingqiao Li; Dengxian Yang; Yubei He; Zhenbing Liu; Huihua Yang (IEEE Access, 2019)

Multi-Level Ensemble Network for Scene Recognition. - Longhao Zhang; Lingqiao Li; Xipeng Pan; Zhiwei Cao; Qianyu Chen; Huihua Yang (Multim. Tools Appl., 2019)

Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images. - Xipeng Pan; Lingqiao Li; Huihua Yang; Zhenbing Liu; Yubei He; Zhongming Li; Yong-Xian Fan; Zhiwei Cao; Longhao Zhang (Cognitive Internet of Things, 2019)

Classification of Imbalanced Near-infrared Spectroscopy Data. - Qibin Wang; Lingqiao Li; Xipeng Pan; Huihua Yang (ICACI, 2020)

On Open-Set, High-Fidelity and Identity-Specific Face Transformation. - Longhao Zhang; Xipeng Pan; Huihua Yang; Lingqiao Li (IEEE Access, 2020)

Complex background classification network: A deep learning method for urban images classification. - Zhenbing Liu; Zeya Li; Lingqiao Li; Huihua Yang (Comput. Electr. Eng., 2020)

Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images. - Lingqiao Li; Xipeng Pan; Huihua Yang; Zhenbing Liu; Yubei He; Zhongming Li; Yong-Xian Fan; Zhiwei Cao; Longhao Zhang (Multim. Tools Appl., 2020)

Dynamic adaptive residual network for liver CT image segmentation. - Xiwang Xie; Weidong Zhang 007; Huadeng Wang; Lingqiao Li; Zhengyun Feng; Zhizhen Wang; Zimin Wang; Xipeng Pan (Comput. Electr. Eng., 2021)

Color correction and adaptive contrast enhancement for underwater image enhancement. - Weidong Zhang 007; Xipeng Pan; Xiwang Xie; Lingqiao Li; Zimin Wang; Chu Han (Comput. Electr. Eng., 2021)

Attention Fusion for One-Stage Multispectral Pedestrian Detection. - Zhiwei Cao; Huihua Yang; Juan Zhao 009; Shuhong Guo; Lingqiao Li (Sensors, 2021)

S2-aware network for visual recognition. - Wenyi Zhao; Huihua Yang; Xipeng Pan; Lingqiao Li (Signal Process. Image Commun., 2021)

Multiscale Anchor-Free Region Proposal Network for Pedestrian Detection. - Zhiwei Cao; Huihua Yang; Weijin Xu; Juan Zhao 009; Lingqiao Li; Xipeng Pan (Wirel. Commun. Mob. Comput., 2021)

LESSL: Can LEGO sampling and collaborative optimization contribute to self-supervised learning? - Wenyi Zhao; Weidong Zhang 007; Xipeng Pan; Peixian Zhuang; Xiwang Xie; Lingqiao Li; Huihua Yang (Inf. Sci., 2022)

AP-GAN: Improving Attribute Preservation in Video Face Swapping. - Longhao Zhang; Huihua Yang; Tian Qiu 001; Lingqiao Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Global-and-Local sampling for efficient hybrid task self-supervised learning. - Wenyi Zhao; Yibo Xu; Lingqiao Li; Huihua Yang (Knowl. Based Syst., 2023)

Progressive cross-domain knowledge distillation for efficient unsupervised domain adaptive object detection. - Wei Li 243; Lingqiao Li; Huihua Yang (Eng. Appl. Artif. Intell., 2023)

An accurate shared bicycle detection network based on faster R-CNN. - Lingqiao Li; Xiangkai Wang; Mengyu Yang; Hongwei Zhang (IET Image Process., 2023)

Embedding Global Contrastive and Local Location in Self-Supervised Learning. - Wenyi Zhao; Chongyi Li; Weidong Zhang 007; Lu Yang 006; Peixian Zhuang; Lingqiao Li; Kefeng Fan; Huihua Yang (IEEE Trans. Circuits Syst. Video Technol., 2023)

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. - Xipeng Pan; Jijun Cheng; Feihu Hou; Rushi Lan; Cheng Lu 001; Lingqiao Li; Zhengyun Feng; Huadeng Wang; Changhong Liang; Zhenbing Liu; Xin Chen 058; Chu Han; et al. (Medical Image Anal., 2023)

Semantic Guided Multi-feature Awared Network for Self-supervised Learning. - Yuhan Li; Ningyuan Li 002; Xipeng Pan; Wenyi Zhao; Weidong Zhang 007; Lingqiao Li; Mu Yang; Huihua Yang (ISAIR (1), 2024)

Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising. - Xipeng Pan; Shilong Song; Zhenbing Liu; Huadeng Wang; Lingqiao Li; Haoxiang Lu; Rushi Lan; Xiaonan Luo (Artif. Intell. Medicine, 2025)

Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. - Xipeng Pan; Hualong Zhang; Huahu Deng; Huadeng Wang; Lingqiao Li; Zhenbing Liu; Lin Wang; Yajun An; Cheng Lu 001; Zaiyi Liu; Chu Han; Rushi Lan (Eng. Appl. Artif. Intell., 2025)

Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. - Jiale Chen; Siyang Feng; Yanfen Cui; Chuansong Fan; Huan Lin; Xinjun Bian; Lingqiao Li; Zhenbing Liu; Zaiyi Liu; Rushi Lan; Xipeng Pan (Knowl. Based Syst., 2025)