Zhiyu ZHU (朱智宇)

Zhiyu ZHU (朱智宇)

Ph.D. candidate from Cityu HK

City University of Hong Kong

Biography

Zhiyu ZHU is a Ph.D. candidate of computer science at the Visual Information Processing Group Cityu HK, leaded by Dr. Junhui HOU . His research interests primarily lie in the field of computer vision, which covers both high-level and low-level topics, i.e., object detection and tracking, as well as image super-resolution and reconstruction. He has also published a number of papers in the prestigious conferences and journals, including, ICCV, NeurIPS, CVPR, ACM MM, TIP, TCI.

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Interests
  • Computational Imaging
  • Object Tracking & Detection
  • Event Cameras
  • Hyperspectral Image Processing
  • Light Field Imaging
Education

  • Ph.D. in City University of Hong Kong

    2019-2023

  • M.S. in Harbin Institute of Technology

    2017-2019

  • B.Sc. in Harbin Institute of Technology

    2013-2017

Recent Publications

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Jinhui Hou, Zhiyu Zhu (Equal contribution), Junhui Hou, Hui Liu, Huanqiang Zeng, Deyu Meng (2023). Deep Diversity-Enhanced Feature Representation of Hyperspectral Images. submitted to TPAMI.

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Zhiyu Zhu, Junhui Hou, Xianqiang LYU (2022). Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds. NeurIPS 2022.

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Jinhui Hou, Zhiyu Zhu (Equal contribution), Junhui Hou, Huanqiang Zeng, Jinjian Wu, Jiantao Zhou (2022). Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution. TIP.

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Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan (2022). GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. submitted to IJCV.

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Xianqiang LYU, Zhiyu Zhu, Mantang Guo, Jing Jin, Junhui Hou, Huanqiang Zeng (2021). Learning spatial-angular fusion for compressive light field imaging in a cycle-consistent framework. ACM MM.

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Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang (2021). Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. ICCV 2021.

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Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang (2021). Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. TCI.

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Zhiyu Zhu, Lanzhi Wang, Gaoliang Peng, Sijue Li (2021). WDA: an improved Wasserstein distance-based transfer learning fault diagnosis method. Sensors.

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Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He (2021). CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds. CVPR 2021.

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Sijue Li, Gaoliang Peng, Daoyong Mao, Zhiyu Zhu, Mengyu Ji, Yuanhang Chen (2021). Intelligent Fault Diagnosis Using Limited Data Under Different Working Conditions Based on SEflow Model and Data Augmentation. Advances in Intelligent Information Hiding and Multimedia Signal Processing.

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Zhiyu Zhu, Junhui Hou, Jie Chen, Huanqiang Zeng, Jiantao Zhou (2020). Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning. TIP.

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Boaz Arad, Radu Timofte, Zhiyu Zhu, others (2020). NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CVPR 2020 Workshop.

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Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau (2020). When residual learning meets dense aggregation: Rethinking the aggregation of deep neural networks. arxiv.

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Yuanhang Chen, Gaoliang Peng, Zhiyu Zhu, Sijue Li (2020). A novel deep learning method based on attention mechanism for bearing remaining useful life prediction. Applied Soft Computing.

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Zhiyu Zhu, Gaoliang Peng, Yuanhang Chen, Huijun Gao (2019). A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis. Neurocomputing.

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