Xingzhi Wang

18 papers A* 1A 1B 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
Iterative Progressive Reasoning Network for Event Causality Identification.
IJCNN
Xingzhi Wang, Ao Huang, Xiangfeng Luo, Huizhe Su
2025 J jnl
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy.
CoRR
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, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Ralph Bulanadi, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Xiangyu Yin, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2025 J jnl
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy.
Mach. Learn. Sci. Technol.
Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin
2025 J jnl
scBCN: deep learning-based batch correction network for integration of heterogeneous single-cell data.
Briefings Bioinform.
Lei Wan, Yang Zhou, Xingzhi Wang, Jing Qin, Shuilin Jin
2024 — conf
A Spatial-Temporal Graph Convolutional Network for Video-Based Group Emotion Recognition.
ICPR (13)
Xingzhi Wang, Tao Chen, Dong Zhang
2024 J jnl
A dual-branch network based on optical flow learning and semantic consistency for macro-expression spotting.
Appl. Intell.
Yun Xian, Dong Zhang, Xingzhi Wang, Dah-Jye Lee
2024 J jnl
Implementing the Affective Mechanism for Group Emotion Recognition With a New Graph Convolutional Network Architecture.
IEEE Trans. Affect. Comput.
Xingzhi Wang, Dong Zhang, Dah-Jye Lee
2024 — —
Toward user-centered smart configuration systems for user-driven customization based on product usage context knowledge graph.
Xingzhi Wang
2023 J jnl
A Self-Fusion Network Based on Contrastive Learning for Group Emotion Recognition.
IEEE Trans. Comput. Soc. Syst.
Xingzhi Wang, Dong Zhang, Hong-Zhou Tan, Dah-Jye Lee
2023 J jnl
Human pose estimation for low-resolution image using 1-D heatmaps and offset regression.
Multim. Tools Appl.
Cailong Chi, Dong Zhang, Zhesi Zhu, Xingzhi Wang, Dah-Jye Lee
2022 J jnl
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst.
Xin Liu, Xingzhi Wang, Yiu-ming Cheung
2021 J jnl
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval.
CoRR
Xin Liu, Xingzhi Wang, Yiu-ming Cheung
2020 J jnl
Semi-supervised discrete hashing for efficient cross-modal retrieval.
Multim. Tools Appl.
Xingzhi Wang, Xin Liu, Shu-Juan Peng, Bineng Zhong, Yewang Chen, Ji-Xiang Du
2019 A* conf
Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval.
ICDM
Xingzhi Wang, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Zhikai Hu, Nannan Wang
2019 A conf
Semi-Supervised Semantic-Preserving Hashing for Efficient Cross-Modal Retrieval.
ICME
Xingzhi Wang, Xin Liu, Zhikai Hu, Nannan Wang, Wentao Fan, Ji-Xiang Du
2019 B conf
Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval.
ICMR
Zhikai Hu, Xin Liu, Xingzhi Wang, Yiu-ming Cheung, Nannan Wang, Yewang Chen
2016 — conf
Augmented Reality in IT Operation Management of Power System.
IEEE WISA
Li Li, Xingzhi Wang, Yaoqiang Xu
2010 J jnl
A grid computing based approach for the power system dynamic security assessment.
Comput. Electr. Eng.
Xingzhi Wang, Zheng Yan, Li Li