Design and Implementation in Image Compression Encryption of Digital Chaos Based on MATLAB. - Zhiqiang Li; Xiaoxin Sun; Qun Ding (ECC (2), 2014)

A Novel Recommendation Method Based on User's Interest and Heterogeneous Information. - Jiatong Wang; Zhenqian Fei; Shuyu Qiao; Wei Sun; Xiaoxin Sun; Bangzuo Zhang (APWeb Workshops, 2016)

A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering. - Xuefeng Zang; Tianqi Liu; Shuyu Qiao; Wenzhu Gao; Jiatong Wang; Xiaoxin Sun; Bangzuo Zhang (DSC, 2016)

一种基于Bhattacharyya系数和项目相关性的协同过滤算法 (Collaborative Filtering Algorithm Based on Bhattacharyya Coefficient and Item Correlation). - Xuefeng Zang; Tianqi Liu; Xiaoxin Sun; Guozhong Feng; Bangzuo Zhang (计算机科学, 2017)

Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. - Lin Yue; Xiaoxin Sun; Wenzhu Gao; Guo-Zhong Feng; Bangzuo Zhang (J. Comput. Sci. Technol., 2018)

Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction. - Bangzuo Zhang; Haobo Zhang; Xiaoxin Sun; Guozhong Feng; Chunguang He (IEEE Access, 2019)

Trust-Aware Collaborative Filtering with a Denoising Autoencoder. - Meiqi Wang; Zhiyuan Wu; Xiaoxin Sun; Guozhong Feng; Bangzuo Zhang (Neural Process. Lett., 2019)

DenseNet-based attentive plot-aware recommendation. - Suhua Wang; Zhiqiang Ma; Xiaoxin Sun; Yue Yuan (Int. J. High Perform. Syst. Archit., 2020)

Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering. - Xiaoxin Sun; Haobo Zhang; Meiqi Wang; Mengying Yu; Minghao Yin; Bangzuo Zhang (Neural Process. Lett., 2020)

Research on the application of convolutional-deep neural networks in parallel fingerprint minutiae matching. - Suhua Wang; MingJun Cheng; Zhiqiang Ma; Xiaoxin Sun (Int. J. Biom., 2021)

Feature extraction method of face image texture spectrum based on a deep learning algorithm. - Suhua Wang; Zhiqiang Ma; Xiaoxin Sun (Int. J. Biom., 2021)

KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation. - Lisa Zhang; Zhe Kang; Xiaoxin Sun; Hong Sun; Bangzuo Zhang; Dongbing Pu (Knowl. Based Syst., 2021)

Attribute-aware deep attentive recommendation. - Xiaoxin Sun; Lisa Zhang; Yuling Wang; Mengying Yu; Minghao Yin; Bangzuo Zhang (J. Supercomput., 2021)

Neural multi-task collaborative filtering. - Suhua Wang; MingJun Cheng; Zhiqiang Ma; Xiaoxin Sun (Evol. Intell., 2022)

Leveraging side information as adjusting embedding to improve user representation for recommendations. - Suhua Wang; Zhiqiang Ma; Xiaoxin Sun; Huinan Zhao; Xiuzhuo Wei; Rui Ma; Bo Tang (J. Supercomput., 2022)

LSNCP: Lightweight and Secure Numeric Comparison Protocol for Wireless Body Area Networks. - Haotian Yin; Xin Huang 005; Bin Xing; Jiajia Huang; Xiaoxin Sun; Jianshuang Li; Sheng Chai; Di Zhang; Rana Abu Bakar; Wei Wang 042 (IEEE Internet Things J., 2023)

LLRA: A Lightweight Leakage-Resilient Authentication Key Exchange Scheme for Smart Meters. - Ran Cheng; Yukun Yang; Zhengzhuo Zhang; Xiaoxin Sun; Xin Huang; Xiaohua Wu; Liangbin Zhao (IEEE Trans. Smart Grid, 2024)

CASEMark: A hybrid model for robust anatomical landmark detection in multi-structure X-rays. - Zhen Huang 007; Xiaoqian Zhou; Xu He; Yangbo Wei; Wenkai Yang; Suhua Wang; Xiaoxin Sun; Han Li (J. King Saud Univ. Comput. Inf. Sci., 2025)

H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical Imaging. - Zhen Huang 007; Ronghao Xu; Xiaoqian Zhou; Yangbo Wei; Suhua Wang; Xiaoxin Sun; Han Li; Qingsong Yao (CoRR, 2025)