高动态范围成像技术中的鬼影检测与去除方法综述 (Survey of Ghost Detection and Removal Methods in HDR Imaging Technology). - Shengnan Hu; Wei Zhang 021; Kan Liu 001; Jianjun Gu 001 (计算机科学, 2016)

Exploiting patch-based correlation for ghost removal in exposure fusion. - Shengnan Hu; Wei Zhang 021 (ICME, 2017)

Learning Compact Appearance Representation for Video-based Person Re-Identification. - Wei Zhang 021; Shengnan Hu; Kan Liu 001 (CoRR, 2017)

Patch-Based correlation for deghosting in exposure fusion. - Wei Zhang 021; Shengnan Hu; Kan Liu 001 (Inf. Sci., 2017)

Motion-free exposure fusion based on inter-consistency and intra-consistency. - Wei Zhang 021; Shengnan Hu; Kan Liu 001; Jian Yao (Inf. Sci., 2017)

Fine-Grained Ranked Multi-Keyword Search Over Hierarchical Data for IoT-Oriented Health System. - Jianfei Sun; Shengnan Hu; Xuyun Nie (IEEE Access, 2019)

Learning Compact Appearance Representation for Video-Based Person Re-Identification. - Wei Zhang 021; Shengnan Hu; Kan Liu 001; Zheng-Jun Zha (IEEE Trans. Circuits Syst. Video Technol., 2019)

Gait Phase Detection of Exoskeleton Robot Based on Optimized DAG-SVM. - Shengnan Hu; Jianbin Zheng 002; Liping Huang (CSAE, 2020)

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection. - Shengnan Hu; Yang Zhang 035; Sumit Laha; Ankit Kumar Sharma; Hassan Foroosh (ICPR, 2020)

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets. - Sumit Laha; Ankit Kumar Sharma; Shengnan Hu; Hassan Foroosh (ICPR, 2020)

Efficient Ranked Multi-Keyword Retrieval With Privacy Protection for Multiple Data Owners in Cloud Computing. - Jianfei Sun; Shengnan Hu; Xuyun Nie; Joojo Walker (IEEE Syst. J., 2020)

Representing Time Series Data in Intelligent Training Systems. - Shengnan Hu; Zerong Xi; Greg McGowin; Gita Sukthankar; Stephen M. Fiore; Kevin Oden (FLAIRS, 2021)

Predicting Team Performance with Spatial Temporal Graph Convolutional Networks. - Shengnan Hu; Gita Sukthankar (ICPR, 2022)

Research on Deep Learning-Based SAR Image Denoising Algorithm. - Shengnan Hu; Ruihan Mao; Hua Li (DSA, 2023)

The Potential of Vision-Language Models for Content Moderation of Children's Videos. - Syed Hammad Ahmed; Shengnan Hu; Gita Sukthankar (ICMLA, 2023)

LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation. - Shengnan Hu; Ce Zheng; Zixiang Zhou; Chen Chen 001; Gita Sukthankar (IROS, 2023)

Multimodal Fusion Networks for Workload Modeling. - Shengnan Hu; Gita Sukthankar (ICMLA, 2024)

Strategic Analysis of the Parameter Servers and Participants in Federated Learning: An Evolutionary Game Perspective. - Xinggang Luo; Zhongliang Zhang 001; Jiahuan He; Shengnan Hu (IEEE Trans. Comput. Soc. Syst., 2024)

Existence of solutions to the even Gaussian dual Minkowski problem. - Yibin Feng; Shengnan Hu; Lei Xu (Adv. Appl. Math., 2025)

U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation. - Yahong Chen; Xiaoyi Pang; Xiaoguang Li; Hanyi Wang; Ben Niu 001; Shengnan Hu (Proc. ACM Manag. Data, 2025)

BTDS: Blockchain-Enabled Trusted Vehicle Violation Detection by Self-Supervision. - Rui Zhu 009; Shengnan Hu; Sumi Helal; Junqiao Song; Jishu Wang; Yeting Chen (IEEE Internet Things J., 2025)