A grid computing based approach for the power system dynamic security assessment. - Xingzhi Wang; Zheng Yan; Li Li (Comput. Electr. Eng., 2010)

Augmented Reality in IT Operation Management of Power System. - Li Li; Xingzhi Wang; Yaoqiang Xu (IEEE WISA, 2016)

Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval. - Xingzhi Wang; Xin Liu 011; Shu-Juan Peng; Yiu-ming Cheung; Zhikai Hu; Nannan Wang 001 (ICDM, 2019)

Semi-Supervised Semantic-Preserving Hashing for Efficient Cross-Modal Retrieval. - Xingzhi Wang; Xin Liu 011; Zhikai Hu; Nannan Wang 001; Wentao Fan; Ji-Xiang Du (ICME, 2019)

Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval. - Zhikai Hu; Xin Liu 011; Xingzhi Wang; Yiu-ming Cheung; Nannan Wang 001; Yewang Chen (ICMR, 2019)

Semi-supervised discrete hashing for efficient cross-modal retrieval. - Xingzhi Wang; Xin Liu 011; Shu-Juan Peng; Bineng Zhong; Yewang Chen; Ji-Xiang Du (Multim. Tools Appl., 2020)

FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval. - Xin Liu 011; Xingzhi Wang; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2022)

Human pose estimation for low-resolution image using 1-D heatmaps and offset regression. - Cailong Chi; Dong Zhang 002; Zhesi Zhu; Xingzhi Wang; Dah-Jye Lee (Multim. Tools Appl., 2023)

A Self-Fusion Network Based on Contrastive Learning for Group Emotion Recognition. - Xingzhi Wang; Dong Zhang 002; Hong-Zhou Tan; Dah-Jye Lee (IEEE Trans. Comput. Soc. Syst., 2023)

A Spatial-Temporal Graph Convolutional Network for Video-Based Group Emotion Recognition. - Xingzhi Wang; Tao Chen; Dong Zhang (ICPR (13), 2024)

Implementing the Affective Mechanism for Group Emotion Recognition With a New Graph Convolutional Network Architecture. - Xingzhi Wang; Dong Zhang 002; Dah-Jye Lee (IEEE Trans. Affect. Comput., 2024)

Toward user-centered smart configuration systems for user-driven customization based on product usage context knowledge graph. - Xingzhi Wang (2024)

A dual-branch network based on optical flow learning and semantic consistency for macro-expression spotting. - Yun Xian; Dong Zhang 002; Xingzhi Wang; Dah-Jye Lee (Appl. Intell., 2024)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)