Research - Full List of Publications

Note: * indicates corresponding author and # indicates equal contribution

2024

• Haiyong Zheng*, Jie Nie, Huiyu Zhou, An-An Liu, Xiangrong Zhang. Editorial: Deep Learning for Marine Science, Volume II, Frontiers in Marine Science, 2024, DOI: 10.3389/fmars.2024.1501225.
• Mingyao Tan#, Dongsheng Guo#, Lei Huang, Zhaorui Gu, Xiaodong Wang*, Haiyong Zheng*. Image sterilization via overwriting. Information Sciences, 2024, DOI: 10.1016/j.ins.2024.121521.
• Guihui Li, Zhensheng Shi, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. Reference-then-supervision framework for infrared and visible image fusion. Pattern Recognition, 2024, DOI: 10.1016/j.patcog.2024.110996.
• Jiahua Li#, Wentao Yang#, Shishi Qiao, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. Self-supervised Marine Organism Detection from Underwater Images. IEEE Journal of Oceanic Engineering, 2024, DOI: 10.1109/JOE.2024.3455565.
• Yufeng Jiang, Zining Yu, Haiyong Zheng*. Short-Term Earthquake Forecasting via Self-Supervised Learning. IEEE Geoscience and Remote Sensing Letters, 2024, DOI: 10.1109/LGRS.2024.3448623.
• Zining Yu, Yufeng Jiang, Xilong Jing, Haiyong Zheng*. Study on geomagnetic observations associated with three major earthquakes in Southwest China through a novel deep learning framework. IEEE Transactions on Geoscience and Remote Sensing, 2024, DOI: 10.1109/TGRS.2024.3411705.
• Zining Yu, Xilong Jing, Xianwei Wang, Chengquan Chi, Haiyong Zheng*. The Study on Anomalies of the Geomagnetic Topology Network Associated with the 2022 Ms6.8 Luding Earthquake. Remote Sensing, 2024, DOI: 10.3390/rs16091613.
• Haiyong Zheng*, Hongsheng Bi, Xuemin Cheng, Mark C. Benfield. Editorial: Deep learning for marine science. Frontiers in Marine Science, 2024, DOI: 10.3389/fmars.2024.1407053. [Research Topic] [ebook]
• Zhensheng Shi, Haiyong Zheng*, Junyu Dong*. Spatiotemporal Self-supervised Predictive Learning for Atmospheric Variable Prediction via Multi-Group Multi-Attention. Knowledge-Based Systems, 2024, DOI: 10.1016/j.knosys.2024.112090.
• Zhensheng Shi, Haiyong Zheng*, Junyu Dong*. OceanVP: A HYCOM based Benchmark Dataset and A Relational Spatiotemporal Predictive Network for Oceanic Variable Prediction. Ocean Engineering, 2024, DOI: 10.1016/j.oceaneng.2024.117748.
• Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan*, Haiyong Zheng*. Video Harmonization with Triplet Spatio-Temporal Variation Patterns. IEEE/CVF CVPR, 2024. [Paper]
• Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng*, Junyu Dong*, Yee-Hong Yang. Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution. AAAI, 2024, DOI: 10.1609/aaai.v38i2.27846. [Paper]
• Fenghui Huo, Yan Liu*, Haiyong Zheng. Towards Low-Cost and Energy-Optimized Underwater Image Classification Based-on FPGA. OCEANS 2024 Singapore, 2024.
• Haoru Zhao, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. Self-Prior Guided Diffusion Model for Marine Snow Removal. OCEANS 2024 Singapore, 2024.
• Guangzhe Si, Zhaorui Gu, Haiyong Zheng*. Duet of ViT and CNN: multi-scale dual-branch network for fine-grained image classification of marine organisms. Intelligent Marine Technology and Systems, 2024, DOI: 10.1007/s44295-023-00019-8.
• 于紫凝, 李海峰, 景锡龙, 池成全, 郑海永. 基于四分量钻孔应变数据的神经网络地震活动性预测分析. 地震学报, 2024, DOI: 10.11939/jass.20230122.
• 刘英杰, 黄嘉琦, 姜玉凤, 邵宇琪, 杨文韬, 于紫凝, 郑海永*. 融合电磁和地声特征的地震预测集成学习方法. 计算机技术与发展, 2024, DOI: 10.20165/j.cnki.ISSN1673-629X.2024.0145.

2023

• Lin Li, Haiyong Zheng*. Multidomain Transfer Ensemble Learning for Wireless Fingerprinting Localization. IEEE Internet of Things Journal, 2023, DOI: 10.1109/JIOT.2023.3330736.
• Hongsheng Bi*, Yunhao Cheng, Xuemin Cheng, Mark C. Benfield, David G. Kimmel, Haiyong Zheng, Sabrina Groves, Kezhen Ying. Taming the data deluge: a novel end-to-end deep learning system for classifying marine biological and environmental images. Limnology and Oceanography: Methods, 2023, DOI: 10.1002/lom3.10591.
• Yanan Li#, Zhimin Wang#*, Rongbing Han, Shangshang Shi, Jiaxin Li, Ruimin Shang, Haiyong Zheng, Guoqiang Zhong, Yongjian Gu*. Quantum recurrent neural networks for sequential learning. Neural Networks, 2023, DOI: 10.1016/j.neunet.2023.07.003.
• Zhaorui Gu, Xiuhan Liu, Zhiqiang Hu, Guoyu Wang, Bing Zheng, John Watson, Haiyong Zheng*. Underwater computational imaging: a survey. Intelligent Marine Technology and Systems, 2023, DOI: 10.1007/s44295-023-00009-w.
• 郭冬升, 顾肇瑞, 郑冰, 董军宇, 郑海永*. 面向图像内补与外推问题的迭代预测统一框架. 中国图象图形学报, 2023, DOI: 10.11834/jig.230144.

2022

• Qi Qi, Kunqian Li*, Haiyong Zheng, Xiang Gao, Guojia Hou, Kun Sun. SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception. IEEE Transactions on Image Processing, 2022, DOI: 10.1109/TIP.2022.3216208. [Project]
• Zonghui Guo, Zhaorui Gu, Bing Zheng, Junyu Dong, Haiyong Zheng*. Transformer for Image Harmonization and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, DOI: 10.1109/TPAMI.2022.3207091. [Project]
• Juan Li, Wenkai Xu, Limiao Deng, Ying Xiao, Zhongzhi Han, Haiyong Zheng*. Deep learning for visual recognition and detection of aquatic animals: A review. Reviews in Aquaculture, 2022, DOI: 10.1111/raq.12726.
• Haoru Zhao, Zhaorui Gu, Bing Zheng, Haiyong Zheng*. TransCNN-HAE: Transformer-CNN Hybrid AutoEncoder for Blind Image Inpainting. ACM MM, 2022, DOI: 10.1145/3503161.3547848.
• Zhensheng Shi#, Cheng Guan#, Qianqian Li#, Ju Liang, Liangjie Cao, Haiyong Zheng*, Zhaorui Gu*, Bing Zheng. Detecting Marine Organisms via Joint Attention-Relation Learning for Marine Video Surveillance. IEEE Journal of Oceanic Engineering, 2022, DOI: 10.1109/JOE.2022.3162864.
• Hafiza Sadia Nawaz, Zhensheng Shi, Yanhai Gan, Amanuel Hirpa, Junyu Dong*, Haiyong Zheng. Temporal Moment Localization via Natural Language by Utilizing Video Question Answers as a Special Variant and Bypassing NLP for Corpora. IEEE Transactions on Circuits and Systems for Video Technology, 2022, DOI: 10.1109/TCSVT.2022.3162650.
• Peng Liu#, Yueyue Wang#, Angang Du, Liqiang Zhang, Bin Wei, Zhaorui Gu*, Xiaodong Wang*, Haiyong Zheng, Juan Li. Disentangling Latent Space Better for Few-Shot Image-to-Image Translation. International Journal of Machine Learning and Cybernetics, 2022, DOI: 10.1007/s13042-022-01552-4.
• Peng Liu#*, Chufeng Zhang#, Hao Qi, Guoyu Wang, Haiyong Zheng*. Multi-Attention DenseNet: A Scattering Medium Imaging Optimization Framework for Visual Data Pre-Processing of Autonomous Driving Systems. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3145815.
• Dongsheng Guo#, Yiqing Huang#, Tianshun Han, Haiyong Zheng*, Zhaorui Gu, Bing Zheng. Marine Snow Removal. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775132.
• Zonghui Guo, Dongsheng Guo, Zhaorui Gu*, Haiyong Zheng, Bing Zheng, Guoyu Wang. Unsupervised Underwater Image Clearness via Transformer. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775361.
• Tianshun Han#, Zhensheng Shi#, Haiyong Zheng*, Junyu Dong, Zhaorui Gu, Bing Zheng. A Convolutional Neural Network Based BPSK Demodulator for Underwater Acoustic Communication. OCEANS 2022 - Chennai, 2022, DOI: 10.1109/OCEANSChennai45887.2022.9775379.

2021

• Qingwei Song, Qiwei Sun, Dongsheng Guo, Haiyong Zheng*. SinTra: Learning an inspiration model from a single multi-track music segment. ISMIR, 2021. [Paper]
• Zonghui Guo, Dongsheng Guo, Haiyong Zheng*, Zhaorui Gu, Bing Zheng, Junyu Dong. Image Harmonization with Transformer. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01460. [Paper]
• Dongsheng Guo, Haoru Zhao, Yunhao Cheng, Haiyong Zheng*, Zhaorui Gu, Bing Zheng. Painting From Part. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01451. [Paper]
• Zhensheng Shi, Ju Liang, Qianqian Li, Haiyong Zheng*, Zhaorui Gu, Junyu Dong, Bing Zheng. Multi-Modal Multi-Action Video Recognition. IEEE/CVF ICCV, 2021, DOI: 10.1109/ICCV48922.2021.01342. [Paper]
• Zonghui Guo, Haiyong Zheng*, Yufeng Jiang, Zhaorui Gu, Bing Zheng. Intrinsic Image Harmonization. IEEE/CVF CVPR, 2021, DOI: 10.1109/CVPR46437.2021.01610. [Paper]
• Qi Zhao#, Ziqiang Zheng#, Huimin Zeng, Zhibin Yu*, Haiyong Zheng, Bing Zheng. The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction. Frontiers in Marine Science, 2021, DOI: 10.3389/fmars.2021.690962.
• Zonghui Guo, Dongsheng Guo, Yufeng Jiang, Qianqian Li, Zhaorui Gu*, Haiyong Zheng, Bing Zheng, Guoyu Wang. Underwater image enhancement based on intrinsic images. OCEANS 2021 San Diego – Porto, 2021, DOI: 10.23919/OCEANS44145.2021.9705714.
• Qianqian Li, Jiahua Li, Zhensheng Shi*, Zhaorui Gu, Haiyong Zheng, Bing Zheng, Juan Li. A holistic marine video dataset. OCEANS 2021 San Diego – Porto, 2021, DOI: 10.23919/OCEANS44145.2021.9705757.
• Ju Liang#, Jihan Song#, Qianqian Li, Zhensheng Shi*, Zhaorui Gu, Haiyong Zheng, Bing Zheng. Self-supervised marine video analysis via siamese network. OCEANS 2021 San Diego – Porto, 2021, DOI: 10.23919/OCEANS44145.2021.9706129.
• Ziqiang Zheng, Zhibin Yu, Yang Wu, Haiyong Zheng*, Bing Zheng, Minho Lee*. Generative adversarial network with multi-branch discriminator for imbalanced cross-species image-to-image translation. Neural Networks, 2021, DOI: 10.1016/j.neunet.2021.04.013.
• Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Yang*, Heng Tao Shen. One-shot image-to-image translation via part-global learning with a multi-adversarial framework. IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3053775.

2020

• Zhensheng Shi, Liangjie Cao, Cheng Guan, Ju Liang, Qianqian Li, Zhaorui Gu, Haiyong Zheng*, Bing Zheng*. Multi-group multi-attention: Towards discriminative spatiotemporal representation. ACM MM, 2020, DOI: 10.1145/3394171.3413646.
• Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng*, Bing Zheng*. CoTeRe-Net: Discovering collaborative ternary relations in videos. ECCV, 2020, DOI: 10.1007/978-3-030-58539-6_23. (Spotlight)
• Dongsheng Guo#, Hongzhi Liu#, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng*, Bing Zheng*. Spiral generative network for image extrapolation. ECCV, 2020, DOI: 10.1007/978-3-030-58529-7_41.
• Zhensheng Shi#, Liangjie Cao#, Cheng Guan, Haiyong Zheng*, Zhaorui Gu*, Zhibin Yu, Bing Zheng. Learning attention-enhanced spatiotemporal representation for action recognition. IEEE Access, 2020, DOI: 10.1109/ACCESS.2020.2968024. (SCI)
• Angang Du, Zhaorui Gu, Zhibin Yu, Haiyong Zheng*, Bing Zheng. Plankton image classification using deep convolutional neural networks with second-order features. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389034.
• Dongsheng Guo#, Zhaorui Gu#, Haoru Zhao, Qingwei Song, Yunhao Cheng, Hongzhi Liu, Zhibin Yu, Haiyong Zheng*, Bing Zheng. Imaginary-to-real generative network for marine organism image extrapolation. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389443.
• Zhensheng Shi#, Cheng Guan#, Liangjie Cao, Qianqian Li, Ju Liang, Zonghui Guo, Zhaorui Gu*, Haiyong Zheng, Bing Zheng. Detecting organisms for marine video surveillance. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389458.
• Zonghui Guo#, Liqiang Zhang#, Yufeng Jiang, Wenjie Niu, Zhaorui Gu*, Haiyong Zheng, Guoyu Wang, Bing Zheng. Few-shot fish image generation and classification. Global OCEANS 2020: Singapore – U.S. Gulf Coast, 2020, DOI: 10.1109/IEEECONF38699.2020.9389005.

2019

• Chao Wang#, Wenjie Niu#, Yufeng Jiang#, Haiyong Zheng*, Zhibin Yu*, Zhaorui Gu, Bing Zheng. Discriminative region proposal adversarial network for high-quality image-to-image translation. International Journal of Computer Vision, 2019, DOI: 10.1007/s11263-019-01273-2. (SCI)
• Yan Zhao, Ziqiang Zheng, Chao Wang, Zhaorui Gu, Min Fu, Zhibin Yu*, Haiyong Zheng, Nan Wang, Bing Zheng. Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-08346-x. (SCI)
• Peng Liu, Guoyu Wang, Hao Qi, Chufeng Zhang, Haiyong Zheng, Zhibin Yu*. Underwater image enhancement with a deep residual framework. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2928976. (SCI)
• Jia Yu, Xuewen Yang, Nan Wang*, Gavin Tilstone, Elaine Fileman, Haiyong Zheng, Zhibin Yu. Video-based real time analysis of plankton particle size spectrum. IEEE Access, 2019, DOI: 10.1109/ACCESS.2019.2914727. (SCI)
• Haoxu Zhang, Chenchen Qiu, Chao Wang, Bin Wei, Zhibin Yu, Haiyong Zheng*, Juan Li*. Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation. Concurrency and Computation: Practice and Experience, 2019, DOI: 10.1002/cpe.5430. (SCI)
• Hao Ding, Bin Wei*, Zhaorui Gu, Zhibin Yu, Haiyong Zheng*, Bing Zheng, Juan Li. KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling. Multimedia Tools and Applications, 2019, DOI: 10.1007/s11042-019-07856-y. (SCI)
• Ziqiang Zheng, Chao Wang, Zhibin Yu, Nan Wang, Haiyong Zheng*, Bing Zheng. Unpaired photo-to-caricature translation on faces in the wild. Neurocomputing, 2019, DOI: 10.1016/j.neucom.2019.04.032. (SCI) [arXiv] [CODE]

2018

• Nan Wang, Jia Yu, Biao Yang, Haiyong Zheng*, Bing Zheng. Vision-based in situ monitoring of plankton size spectra via a convolutional neural network. IEEE Journal of Oceanic Engineering, 2018, DOI: 10.1109/JOE.2018.2881387. (SCI)
• Chenchen Qiu, Shaoyong Zhang, Chao Wang, Zhibin Yu, Haiyong Zheng*, Bing Zheng*. Improving transfer learning and squeeze-and-excitation networks for small-scale fine-grained fish image classification. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2885055. (SCI)
• Mengnan Sun, Zhaorui Gu, Haiyong Zheng*, Bing Zheng*, John Watson. Underwater wide-area layered light field for underwater detection. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2877591. (SCI)
• Shaoyong Zhang, Na Li, Chenchen Qiu, Zhibin Yu*, Haiyong Zheng, Bing Zheng. Depth map prediction from a single image with generative adversarial nets. Multimedia Tools and Applications, 2018, DOI: 10.1007/s11042-018-6694-x. (SCI)
• Na Li, Ziqiang Zheng, Shaoyong Zhang, Zhibin Yu*, Haiyong Zheng*, Bing Zheng. The synthesis of unpaired underwater images using a multistyle generative adversarial network. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2870854. (SCI)
• Ning Tang, Fei Zhou, Zhaorui Gu, Haiyong Zheng∗, Zhibin Yu, Bing Zheng. Unsupervised pixel-wise classification for Chaetoceros image segmentation. Neurocomputing, 2018, DOI: 10.1016/j.neucom.2018.08.064. (SCI)
• Chao Wang, Haiyong Zheng*, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng. Discriminative region proposal adversarial networks for high-quality image-to-image translation. European Conference on Computer Vision (ECCV), 2018, DOI: 10.1007/978-3-030-01246-5_47. [arXiv] [CODE]
• Ziqiang Zheng, Chao Wang, Zhibin Yu*, Haiyong Zheng, Bing Zheng. Instance map based image synthesis with a denoising generative adversarial network. IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2849108. (SCI) [arXiv]
• Jingyu Lu, Na Li, Shaoyong Zhang, Zhibin Yu*, Haiyong Zheng, Bing Zheng. Multi-scale adversarial network for underwater image restoration. Optics and Laser Technology, 2018, DOI: 10.1016/j.optlastec.2018.05.048. (SCI)
• Nan Wang*, Bing Zheng, Haiyong Zheng, Biao Yang. When underwater degraded images meet logical stochastic resonance. Nonlinear Dynamics, 2018, DOI: 10.1007/s11071-018-4359-y. (SCI)
• Jing Liu, Angang Du, Chao Wang, Haiyong Zheng*, Nan Wang, Bing Zheng. Teaching squeeze-and-excitation PyramidNet for imbalanced image classification with GAN-based curriculum learning. International Conference on Pattern Recognition (ICPR), 2018, DOI: 10.1109/ICPR.2018.8546037.
• Chao Wang, Xueer Zheng, Chunfeng Guo, Zhibin Yu, Jia Yu, Haiyong Zheng*, Bing Zheng. Transferred parallel convolutional neural network for large imbalanced plankton database classification. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8558836.
• Jinna Cui, Bin Wei, Chao Wang, Zhibin Yu, Haiyong Zheng*, Bing Zheng, Hua Yang. Texture and shape information fusion of convolutional neural network for plankton image classification. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559156.
• Hao Ding, Bin Wei, Ning Tang, Zhibin Yu, Nan Wang, Haiyong Zheng*, Bing Zheng. Plankton image classification via multi-class imbalanced learning. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559238.
• Jing Liu, Angang Du, Chao Wang, Zhibin Yu, Haiyong Zheng, Bing Zheng*, Hao Zhang. Deep pyramidal residual networks for plankton image classification. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559106.
• Ziqiang Zheng, Chunfeng Guo, Xueer Zheng, Zhibin Yu*, Weiwei Wang, Haiyong Zheng, Min Fu, Bing Zheng. Fish recognition from a vessel camera using deep convolutional neural network and data augmentation. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559314.
• Chenchen Qiu, Jinna Cui, Shaoyong Zhang, Chao Wang, Zhaorui Gu*, Haiyong Zheng, Bing Zheng. Transfer learning for small-scale fish image classification. OCEANS MTS/IEEE Kobe, 2018, DOI: 10.1109/OCEANSKOBE.2018.8559473.

2017

• Haiyong Zheng, Ruchen Wang, Zhibin Yu, Nan Wang, Zhaorui Gu, Bing Zheng*. Automatic plankton image classification combining multiple view features via multiple kernel learning. International Conference on Bioinformatics (InCoB), 2017, Best Paper Award of BMC Track [Gold]; BMC Bioinformatics, 2017, DOI: 10.1186/s12859-017-1954-8. (SCI) [Slide]
• Yan Wang, Na Li, Zongying Li, Zhaorui Gu, Haiyong Zheng*, Bing Zheng, Mengnan Sun. An imaging-inspired no-reference underwater color image quality assessment metric. Computers and Electrical Engineering, 2017, DOI: 10.1016/j.compeleceng.2017.12.006. (SCI)
• Mengnan Sun, Bing Zheng*, Bo Peng, Yan Wang, Haiyong Zheng. A target detectability assessment metric for the underwater electro-optic imaging system. Optics and Laser Technology, 2017, DOI: 10.1016/j.optlastec.2017.10.028. (SCI)
• Zhibin Yu, Yubo Wang, Bing Zheng*, Haiyong Zheng, Nan Wang, Zhaorui Gu. Underwater inherent optical properties estimation using a depth aided deep neural network. Computational Intelligence and Neuroscience, 2017, DOI: 10.1155/2017/8351232. (SCI)
• Nan Wang, Haiyong Zheng*, Bing Zheng. Underwater image restoration via maximum attenuation identification. IEEE Access, 2017, DOI: 10.1109/ACCESS.2017.2753796. (SCI)
• Nan Wang, Bing Zheng*, Haiyong Zheng, Zhibin Yu. Feeble object detection of underwater images through LSR with delay loop. Optics Express, 2017, DOI: 10.1364/OE.25.022490. (SCI)
• Tengda Wei, Linshan Wang, Ping Lin, Jialing Chen, Yangfan Wang*, Haiyong Zheng. Learning non-negativity constrained variation for image denoising and deblurring. Numerical Mathematics: Theory, Methods and Applications, 2017, DOI: 10.4208/nmtma.2017.m1653. (SCI)
• Haiyong Zheng*, Nan Wang, Zhibin Yu, Zhaorui Gu, Bing Zheng. Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species. IET Image Processing, 2017, DOI: 10.1049/iet-ipr.2017.0127. (SCI) [PROJECT]
• Chao Wang, Zhibin Yu, Haiyong Zheng*, Nan Wang, Bing Zheng. CGAN-Plankton: Towards large-scale imbalanced class generation and fine-grained classification. IEEE International Conference on Image Processing (ICIP), 2017, DOI: 10.1109/ICIP.2017.8296402.
• Shanchen Jiang, Fengna Sun, Zhaorui Gu, Haiyong Zheng, Wang Nan, Zhibin Yu*. Underwater 3D reconstruction based on laser line scanning. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084737.
• Fengna Sun, Jia Yu, Zhaorui Gu*, Haiyong Zheng, Nan Wang, Bing Zheng. A practical system of fish size measurement. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084879.
• Li Ma, Min Fu*, Nan Wang, Haiyong Zheng, Zhibin Yu, Zhaorui Gu, Jia Yu, Bing Zheng, Xuefeng Liu. Simulation of stochastic resonance in underwater laser communication. OCEANS MTS/IEEE Aberdeen, 2017, DOI: 10.1109/OCEANSE.2017.8084775.
• 于芝涛, 姬婷婷, 程孝龙, 赵红苗, 姬光荣, 郑海永*. 基于自适应幅度谱分析的显著目标检测 (Salient Object Detection based on Adaptive Amplitude Spectrum Analysis). 中国海洋大学学报(自然科学版) (Periodical of Ocean University of China), 2017, DOI: 10.16441/j.cnki.hdxb.20150080.

2016

• Bing Zheng, Nan Wang*, Haiyong Zheng, Zhibin Yu, Jinpeng Wang. Object extraction from underwater images through logical stochastic resonance. Optics Letters, 2016, DOI: 10.1364/OL.41.004967. (SCI)
• Jialun Dai, Zhibin Yu, Haiyong Zheng*, Bing Zheng, Nan Wang. A hybrid convolutional neural network for plankton classification. The 13th Asian Conference on Computer Vision (ACCV) Workshops, Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA), 2016, DOI: 10.1007/978-3-319-54526-4_8.
• Haiyong Zheng, Lin Chang, Tengda Wei, Xinxin Qiu, Ping Lin, Yangfan Wang*. Registering retinal vessel images from local to global via multiscale and multicycle features. The 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 7th International Workshop on Biomedical Image Registration (WBIR), 2016, DOI: 10.1109/cvprw.2016.68. [CODE]
• Jialun Dai, Ruchen Wang, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. ZooplanktoNet: Deep convolutional network for zooplankton classification. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485680.
• Ruchen Wang, Jialun Dai, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. Multi features combination for automated zooplankton classification. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485675.
• Xinxin Qiu, Ning Tang, Haiyong Zheng*, Guangrong Ji, Xiaoyan Qiao. Automatic segmentation of Chaetoceros microscopic images via pixel-wise classification. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485603.
• Yafei Zhu, Lin Chang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic object detection and segmentation from underwater images via saliency-based region merging. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485598.
• Lin Chang, Ruchen Wang, Haiyong Zheng*, Jialun Dai, Bing Zheng. Phytoplankton feature extraction from microscopic images based on SURF-PCA. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485699.
• Zongying Li, Zhaorui Gu, Haiyong Zheng, Bing Zheng*, Jingpeng Liu. Underwater image sharpness assessment based on selective attenuation of color in the water. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485695.
• Zhaorui Gu, Ruchen Wang, Jialun Dai, Haiyong Zheng*, Bing Zheng. Automatic searching of fish from underwater images via shape matching. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485597.
• Hongkun Liu, Jialun Dai, Ruchen Wang, Haiyong Zheng*, Bing Zheng. Combining background subtraction and three-frame difference to detect moving object from underwater video. OCEANS MTS/IEEE Shanghai, 2016, DOI: 10.1109/OCEANSAP.2016.7485613.
• Xiaodong Wang, Jialun Dai, Yafei Zhu, Haiyong Zheng*, Xiaoyan Qiao. Spectral saliency via automatic adaptive amplitude spectrum analysis. Journal of Electronic Imaging, 2016, DOI: 10.1117/1.JEI.25.2.023020. (SCI) [CODE]
• Kun Yu, Guangrong Ji, Haiyong Zheng*. Automatic cell object extraction of red tide algae in microscopic images. Chinese Journal of Oceanology and Limnology, 2016, DOI: 10.1007/s00343-016-5324-6. (SCI)
• 于堃, 赵红苗, 姬光荣, 郑海永*. 结合显著性与GrabCut的无角毛类浮游植物显微图像分割 (Combining saliency with GrubCut for phytoplankton microscopic image segmentation of non-setae species). 中国海洋大学学报(自然科学版) (Periodical of Ocean University of China), 2016, DOI: 10.16441/j.cnki.hdxb.20140214.

2015

• Haiyong Zheng*, Xue Sun, Bing Zheng, Rui Nian, Yangfan Wang. Underwater image segmentation via dark channel prior and multiscale hierarchical decomposition. OCEANS MTS/IEEE Genova, 2015, DOI: 10.1109/OCEANS-Genova.2015.7271450.

2014

• Chen Feng*, Haiyong Zheng, Lijian Zhou, Junna Cheng. Detection performance analysis of recurrence quantification analysis measures for low observable target within sea clutter under different sea conditions. IET Radar, Sonar & Navigation, 2014, DOI: 10.1049/iet-rsn.2014.0144. (SCI)
• Haiyong Zheng, Bin Wu, Tengda Wei, Linshan Wang, Yangfan Wang*. Global exponential robust stability of high-order Hopfield neural networks with S-type distributed time delays. Journal of Applied Mathematics, 2014, DOI: 10.1155/2014/705496. (SCI)
• Haiyong Zheng*, Hongmiao Zhao, Xue Sun, HuihuiGao, GuangrongJi. Automatic setae segmentation from Chaetoceros microscopic images. Microscopy Research and Technique, 2014, DOI: 10.1002/jemt.22389. (SCI) [CODE]

2013

• Haiyong Zheng*, GuangrongJi, Guoyu Wang, Zhenwei Zhao, Shaohong He. Automatic scaling of F layer from ionograms based on image processing and analysis. Journal of Atmospheric and Solar-Terrestrial Physics, 2013, DOI: 10.1016/j.jastp.2013.09.007. (SCI)
• Jingjing Chu, GuangrongJi, Haiyong Zheng*, Kun Yu, Hongguang Lu. Salient region detection for phytoplankton microscopic image. Proc. of SPIE Vol. 8878 ICDIP 2013, 88782Q, DOI: 10.1117/12.2030691.
• Hongguang Lu, GuangrongJi, Haiyong Zheng*, Zhenwei Zhao, Shaohong He. Ionogram trace enhancement based on image pixel connectedness. Proc. of SPIE Vol. 8878 ICDIP 2013, 887809, DOI: 10.1117/12.2030690.

2012

• Haiyong Zheng*, Bing Zheng, GuangrongJi, ZhongwenGuo, Yuting Sun. Image enhancement of underwater target detection by inhomogeneous illumination. OCEANS MTS/IEEE Yeosu, 2012, DOI: 10.1109/OCEANS-Yeosu.2012.6263374.

2011

• Haiyong Zheng*, GuangrongJi, Bing Zheng, Hao Zhang, Gulliver, T.A. Harmful Algal Bloom recognition based on microscopic images. 2011 IEEE PacRim, Victoria, BC, 2011, DOI: 10.1109/PACRIM.2011.6033006.

2010

• Haiyong Zheng*, GuangrongJi, Bing Zheng. An approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and PDE. OCEANS IEEE Sydney, 2010, DOI: 10.1109/OCEANSSYD.2010.5603529.

Thesis

• 郑海永（Haiyong Zheng）. 基于生物形态学的有害赤潮显微图像诊断研究（Researches on Microscopic Image Diagnosis of Harmful Algal Blooms Based on Biological Morphology）. 2009年6月, 中国海洋大学博士学位论文（PhD Thesis of Ocean University of China）.

TOP 返回顶部

发明专利 Patents

• 郭宗辉, 郑海永. 一种基于自注意变换的图像和谐化系统. 申请号: 202111067167.6. 申请日: 2021年09月13日. 专利号: ZL 2021 1 1067167.6. 授权公告日: 2024年06月04日.
• 郭宗辉, 郑海永. 一种合成图像的和谐化方法及模型. 申请号: 202110552384.8. 申请日: 2021年05月20日. 专利号: ZL 2021 1 0552384.8. 授权公告日: 2023年01月17日.
• 石珍生, 郑海永. 一种用于视频多行为识别的多模态联合学习方法. 申请号: 202111143894.6. 申请日: 2021年09月28日. 专利号: ZL 2021 1 1143894.6. 授权公告日: 2023年12月12日.
• 石珍生, 郑海永. 用于视频时空表征学习的三元关系协作模块及建模方法. 申请号: 202010753532.8. 申请日: 2020年07月30日. 专利号: ZL 2020 1 0753532.8. 授权公告日: 2023年11月24日.
• 郭冬升, 郑海永, 赵浩如. 一种基于螺旋生成网络的高质量图像外推系统. 申请号: 202010768731.6. 申请日: 2020年08月03日. 专利号: ZL 2020 1 0768731.6. 授权公告日: 2022年03月22日.
• 石珍生, 郑海永. 一种用于视频时空表征学习的多分组多注意力建模方法. 申请号: 202010987037.3. 申请日: 2020年09月18日. 专利号: ZL 2020 1 0987037.3. 授权公告日: 2022年04月22日.
• 石珍生, 郑海永. 基于注意力增强三维时空表征学习的视频行为识别方法. 申请号: 201910721902.7. 申请日: 2019年08月06日. 专利号: ZL 2019 1 0721902.7. 授权公告日: 2022年02月08日.
• 郑海永, 邱晨晨, 俞智斌. 一种基于深度卷积神经网络的鱼类图像分类方法. 申请号: 201810984130.1. 申请日: 2018年08月28日. 专利号: ZL 2018 1 0984130.1. 授权公告日: 2021年08月03日.
• 郑海永, 刘静, 杜昂昂, 俞智斌. 基于深度卷积神经网络的类别不平衡的图像分类方法. 申请号: 201810866743.5. 申请日: 2018年08月01日.
• 郑海永, 王超, 俞智斌. 一种基于判别区域候选对抗网络的图像转图像翻译方法. 申请号: 201810820240.4. 申请日: 2018年07月24日.
• 郑海永, 汤宁, 顾肇瑞, 俞智斌, 郑冰. 一种基于无监督逐像素分类的角毛藻图像分割方法. 申请号: 201810763944.2. 申请日: 2018年07月12日. 专利号: ZL 2018 1 0763944.2. 授权公告日: 2021年11月02日.
• 郑海永, 王超, 俞智斌, 戴嘉伦, 郑冰. 基于多特征融合卷积神经网络的浮游生物图像分类方法. 申请号: 201610912684.1. 申请日: 2016年10月20日. 专利号: ZL 2016 1 0912684.1. 授权公告日: 2020年03月13日.
• 王楠, 郑海永, 郑冰, 徐建康, 宋晓辉, 杜辉, 王晓宇. 基于逻辑随机共振的浑浊水质成像目标检测系统及方法. 申请号: 201610913278.7. 申请日: 2016年10月20日. 专利号: ZL 2016 1 0913278.7. 授权公告日: 2019年12月17日.
• 郑海永, 朱亚菲, 赵红苗, 姬光荣. 一种基于幅度谱分析的显著目标检测方法. 申请号: 201510271210.9. 申请日: 2015年05月25日. 专利号: ZL 2015 1 0271210.9. 授权公告日: 2018年10月19日.
• 郑海永, 孙晓庆, 卢红光, 何绍红, 姬光荣. 一种基于图像处理的垂测电离图E区描迹自动判读方法. 申请号: 201510271515.X. 申请日: 2015年05月25日. 专利号: ZL 2015 1 0271515.X. 授权公告日: 2019年05月07日.
• 郑海永, 姬光荣, 王国宇, 于志刚, 米铁柱. 一种基于显微图像的角毛藻和非角毛藻自动分类方法. 申请号: 201210105858.5. 申请日: 2012年04月12日.
• 姬光荣, 郑海永, 张浩, 王国宇, 于志刚. 一种角毛藻显微图像细胞目标提取方法. 专利号: ZL 201010115606.1. 授权公告日: 2012年01月04日.
• 姬光荣, 郑海永, 张浩, 王国宇, 于志刚. 一种无角毛类赤潮藻显微图像细胞目标提取方法. 申请号: 201010115592.3. 申请日: 2010年03月02日.

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Updated: Oct. 14, 2024	Home / Index	Edited by Haiyong Zheng