A proof of image Euler Number formula. - Xiaozhu Lin; Yun Sha; Junwei Ji; Yanmin Wang (Sci. China Ser. F Inf. Sci., 2006)

A Classification of Flotation Froth Based on Geometry. - Yang Li; Xiaozhu Lin; Guoqing Zhao (IMECS, 2007)

The Euler Number Expressed as Neighbor Number and Application. - Xiaozhu Lin; Yingying Gu; Hongmei Wang (IMECS, 2007)

An Automatic Scheme to Categorize User Sessions in Modern HTTP Traffic. - Xiaozhu Lin; Lin Quan; Haiyan Wu (GLOBECOM, 2008)

An Automatic and Scalable Testing Tool for Workflow Systems. - Lin Quan; Xiaozhu Lin; Jianmin Wang 001 (GPC Workshops, 2008)

The ART2 Network Based on Memorizing-Forgetting Mechanism. - Xiaoming Ye; Xiaozhu Lin; Xiaojuan Dai (ISNN (1), 2011)

Power-efficient time-sensitive mapping in heterogeneous systems. - Cong Liu 017; Jian Li 059; Wei Huang 004; Juan Rubio 001; Evan Speight; Xiaozhu Lin (PACT, 2012)

A Face Recognition under Varying Illumination. - Haodong Song; Xiaozhu Lin; Zhanlin Liu (IGTA, 2014)

Emotion Recognition in Videos via Fusing Multimodal Features. - Shizhe Chen; Yujie Dian; Xinrui Li; Xiaozhu Lin; Qin Jin; Haibo Liu; Li Lu (CCPR (2), 2016)

Generating Natural Video Descriptions via Multimodal Processing. - Qin Jin; Junwei Liang 001; Xiaozhu Lin (INTERSPEECH, 2016)

iMakeup: Makeup Instructional Video Dataset for Fine-Grained Dense Video Captioning. - Xiaozhu Lin; Qin Jin; Shizhe Chen; Yuqing Song 003; Yida Zhao (PCM (3), 2018)

Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. - Hao Li 097; Jun Li 107; Xiaozhu Lin; Xiaohua Qian (CoRR, 2019)

Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. - Jun Li 107; Xiaozhu Lin; Hui Che; Hao Li 097; Xiaohua Qian (CoRR, 2019)

Multi-semantic long-range dependencies capturing for efficient video representation learning. - Jinhao Duan; Hua Xu; Xiaozhu Lin; Shangchao Zhu; Yuanze Du (Image Vis. Comput., 2020)

3D printed Optimization: Bayesian Neural Network Trade-Off between Cost and Load-Bearing. - Xiaozhu Lin; Xianglong Tan; Longchuan Wang; Andre Rosendo (ROBIO, 2021)

Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer. - Xiahan Chen; Xiaozhu Lin; Qing Shen; Xiaohua Qian (IEEE Trans. Medical Imaging, 2021)

Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision. - Jun Li 107; Chaolu Feng; Qing Shen; Xiaozhu Lin; Xiaohua Qian (Neurocomputing, 2022)

Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. - Jun Li 107; Chaolu Feng; Xiaozhu Lin; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2022)

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation. - Xiahan Chen; Zihao Chen; Jun Li 107; Yu-Dong Zhang; Xiaozhu Lin; Xiaohua Qian (IEEE Trans. Medical Imaging, 2022)

Exploring Learning-Based Control Policy for Fish-Like Robots in Altered Background Flows. - Xiaozhu Lin; Wenbin Song; Xiaopei Liu; Xuming He 001; Yang Wang (IROS, 2023)

Artificial intelligence design of ProteinA-like peptides. - Long Zhao; Huijia Song; Zihan Lin; Zhenguo Wen; Xiaozhu Lin (BIC, 2024)

Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators. - Xiaozhu Lin; Song Liu; Chengyuan Liu; Yang Wang (IROS, 2024)

ACP-ESM2: The prediction of anticancer peptides based on pre-trained classifier. - Huijia Song; Xiaozhu Lin; Huainian Zhang; Huijuan Yin (Comput. Biol. Chem., 2024)

Learning Agile Swimming: An End-to-End Approach without CPGs. - Xiaozhu Lin; Xiaopei Liu; Yang Wang (CoRR, 2024)

Learning Agile Swimming: An End-to-End Approach Without CPGs. - Xiaozhu Lin; Xiaopei Liu; Yang Wang 063 (IEEE Robotics Autom. Lett., 2025)