Deep Learning Based Scene Text Reading for Cloud Audit Information Extraction. - Hezhong Pan; Chuanyi Liu; Shaoming Duan; Peiyi Han; Xinyi Zhang; Binxing Fang (DSC, 2019)

CloudDLP: Transparent and Automatic Data Sanitization for Browser-Based Cloud Storage. - Chuanyi Liu; Peiyi Han; Yingfei Dong; Hezhong Pan; Shaoming Duan; Binxing Fang (ICCCN, 2019)

Combining dissimilarity measures for image classification. - Chuanyi Liu; Junqian Wang; Shaoming Duan; Yong Xu 001 (Pattern Recognit. Lett., 2019)

From One-hot Encoding to Privacy-preserving Synthetic Electronic Health Records Embedding. - Xiayu Xiang; Shaoming Duan; Hezhong Pan; Peiyi Han; Jiahao Cao 001; Chuanyi Liu (CIAT, 2020)

SecureMLDebugger: A Privacy-Preserving Machine Learning Debugging Tool. - Peiyi Han; Chaozheng Wang; Chuanyi Liu; Shaoming Duan; Hezhong Pan; Pengshuai Luo (DSC, 2020)

CloudDLP: Transparent and Scalable Data Sanitization for Browser-Based Cloud Storage. - Peiyi Han; Chuanyi Liu; Jiahao Cao 001; Shaoming Duan; Hezhong Pan; Zekun Cao; Binxing Fang (IEEE Access, 2020)

Scene text reading based cloud compliance access. - Hezhong Pan; Chuanyi Liu; Shaoming Duan; Peiyi Han; Binxing Fang (World Wide Web, 2020)

PRFP: Privacy-respecting and Accurate Device Fingerprint Identification. - Xunan Gao; Peiyi Han; Chuanyi Liu; Shaoming Duan; Hezhong Pan; Xiayu Xiang (DSC, 2021)

Sampled Data Debugging via Fuzzy C-Means. - Xiayu Xiang; Shaoming Duan; Hezhong Pan; Peiyi Han; Chuanyi Liu (DSC, 2021)

FIGAT: Accurately Predict Individual Crime Risks with Multi-information Fusion. - Xianzhe Yu; Peiyi Han; Chuanyi Liu; Shaoming Duan; Hezhong Pan; Xiayu Xiang (DSC, 2021)

Towards Privacy-Preserving Computation on Gene: Construct Covid-19 Phylogenetic Tree using Homomorphic Encryption. - Peiyi Han; Yunzhe Guo; Shaoming Duan; Chuanyi Liu; Yuxing Zhou (ICDIS, 2022)

Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning. - Zirui Wang; Shaoming Duan; Chengyue Wu; Wenhao Lin; Xinyu Zha; Peiyi Han; Chuanyi Liu (ICDIS, 2022)

Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data. - Shaoming Duan; Chuanyi Liu; Peiyi Han; Tianyu He; Yifeng Xu; Qiyuan Deng (CoRR, 2022)

Fed-DR-Filter: Using global data representation to reduce the impact of noisy labels on the performance of federated learning. - Shaoming Duan; Chuanyi Liu; Zhengsheng Cao; Xiaopeng Jin; Peiyi Han (Future Gener. Comput. Syst., 2022)

Bi-TCCS: Trustworthy Cloud Collaboration Service Scheme Based on Bilateral Social Feedback. - Chuanyi Liu; Xiaoyong Li 003; Mingliang Sun; Yali Gao; Jie Yuan 001; Shaoming Duan (IEEE Trans. Cloud Comput., 2022)

FIGAT: Accurately Classify Individual Crime Risks With Multi-Information Fusion. - Wenbo Xu; Peiyi Han; Shaoming Duan; Chuanyi Liu (IEEE Trans. Serv. Comput., 2023)

HT-Fed-GAN: Federated Generative Model for Decentralized Tabular Data Synthesis. - Shaoming Duan; Chuanyi Liu; Peiyi Han; Xiaopeng Jin; Xinyi Zhang; Tianyu He; Hezhong Pan; Xiayu Xiang (Entropy, 2023)

FEDKA: Federated Knowledge Augmentation for Multi-Center Medical Image Segmentation on non-IID Data. - Yuhao Zhang; Shaoming Duan; Xinyu Zha; Jinhang Su; Peiyi Han; Chuanyi Liu (ICASSP, 2024)

TCSR-SQL: Towards Table Content-aware Text-to-SQL with Self-retrieval. - Wenbo Xu; Liang Yan; Peiyi Han; Haifeng Zhu; Chuanyi Liu; Shaoming Duan; Cuiyun Gao; Yingwei Liang (CoRR, 2024)

Generative data augmentation with differential privacy for non-IID problem in decentralized clinical machine learning. - Tianyu He; Peiyi Han; Shaoming Duan; Zirui Wang; Wentai Wu; Chuanyi Liu; Jianrun Han (Future Gener. Comput. Syst., 2024)

DSQG-Syn: Synthesizing High-quality Data for Text-to-SQL Parsing by Domain Specific Question Generation. - Shaoming Duan; Youxuan Wu; Chuanyi Liu; Yuhao Zhang; Zirui Wang; Peiyi Han; Shengyuan Yu; Liang Yan; Yingwei Liang (NAACL (Findings), 2025)

SPS-SQL: Enhancing Text-to-SQL generation on small-scale LLMs with pre-synthesized queries. - Liang Yan; Qichen Wan; Chuanyi Liu; Shaoming Duan; Peiyi Han; Yong Xu 001 (Pattern Recognit. Lett., 2025)

SOTIF-Oriented Risk Assessment: A Multi-Dimensional Model for Autonomous Driving. - Botao Yao; Shuohan Huang; Peiyi Han; Jie Lin; Shaoming Duan; Chuanyi Liu (IEEE Robotics Autom. Lett., 2025)