Multiple Timescale Recurrent Neural Network with Slow Feature Analysis for Efficient Motion Recognition. - Jihun Kim 003; Sungmoon Jeong; Zhibin Yu 002; Minho Lee 001 (ICONIP (2), 2013)

Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification. - Zhibin Yu 002; Rammohan Mallipeddi; Minho Lee 001 (ICONIP (2), 2013)

Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model. - Zhibin Yu 002; Minho Lee 001 (IDEAL, 2013)

Human-Robot Interaction using Intention Recognition. - Sangwook Kim; Zhibin Yu 002; Jonghong Kim; Amitash Ojha; Minho Lee 001 (HAI, 2015)

A Fast Training Algorithm of Multiple-Timescale Recurrent Neural Network for Agent Motion Generation. - Zhibin Yu 002; Rammohan Mallipeddi; Minho Lee 001 (HAI, 2015)

Human intention understanding based on object affordance and action classification. - Zhibin Yu 002; Sangwook Kim; Rammohan Mallipeddi; Minho Lee 001 (IJCNN, 2015)

Deep learning of support vector machines with class probability output networks. - Sangwook Kim; Zhibin Yu 002; Rhee Man Kil; Minho Lee 001 (Neural Networks, 2015)

Real-time human action classification using a dynamic neural model. - Zhibin Yu 002; Minho Lee 001 (Neural Networks, 2015)

Human motion based intent recognition using a deep dynamic neural model. - Zhibin Yu 002; Minho Lee 001 (Robotics Auton. Syst., 2015)

A Hybrid Convolutional Neural Network for Plankton Classification. - Jialun Dai; Zhibin Yu 002; Haiyong Zheng; Bing Zheng; Nan Wang 013 (ACCV Workshops (3), 2016)

CGAN-plankton: Towards large-scale imbalanced class generation and fine-grained classification. - Chao Wang 022; Zhibin Yu 002; Haiyong Zheng; Nan Wang 013; Bing Zheng (ICIP, 2017)

Automatic plankton image classification combining multiple view features via multiple kernel learning. - Haiyong Zheng; Ruchen Wang; Zhibin Yu 002; Nan Wang 013; Zhaorui Gu; Bing Zheng (BMC Bioinform., 2017)

Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network. - Zhibin Yu 002; Yubo Wang 001; Bing Zheng; Haiyong Zheng; Nan Wang 013; Zhaorui Gu (Comput. Intell. Neurosci., 2017)

Photo-to-Caricature Translation on Faces in the Wild. - Ziqiang Zheng; Haiyong Zheng; Zhibin Yu 002; Zhaorui Gu; Bing Zheng (CoRR, 2017)

Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes. - Ziqiang Zheng; Zhibin Yu 002; Haiyong Zheng; Chao Wang 022; Nan Wang 013 (CoRR, 2017)

Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding. - Zhibin Yu 002; Moirangthem Dennis Singh; Minho Lee 001 (Frontiers Neurorobotics, 2017)

Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species. - Haiyong Zheng; Nan Wang 013; Zhibin Yu 002; Zhaorui Gu; Bing Zheng (IET Image Process., 2017)

Understanding human intention by connecting perception and action learning in artificial agents. - Sangwook Kim; Zhibin Yu 002; Minho Lee 001 (Neural Networks, 2017)

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation. - Chao Wang 022; Haiyong Zheng; Zhibin Yu 002; Ziqiang Zheng; Zhaorui Gu; Bing Zheng (ECCV (1), 2018)

The Synthesis of Unpaired Underwater Images Using a Multistyle Generative Adversarial Network. - Na Li; Ziqiang Zheng; Shaoyong Zhang; Zhibin Yu 002; Haiyong Zheng; Bing Zheng (IEEE Access, 2018)

Improving Transfer Learning and Squeeze- and-Excitation Networks for Small-Scale Fine-Grained Fish Image Classification. - Chenchen Qiu; Shaoyong Zhang; Chao Wang 022; Zhibin Yu 002; Haiyong Zheng; Bing Zheng (IEEE Access, 2018)

Instance Map Based Image Synthesis With a Denoising Generative Adversarial Network. - Ziqiang Zheng; Chao Wang 022; Zhibin Yu 002; Haiyong Zheng; Bing Zheng (IEEE Access, 2018)

Unsupervised pixel-wise classification for Chaetoceros image segmentation. - Ning Tang; Fei Zhou 007; Zhaorui Gu; Haiyong Zheng; Zhibin Yu 002; Bing Zheng (Neurocomputing, 2018)

Underwater Image Enhancement With a Deep Residual Framework. - Peng Liu 036; Guoyu Wang; Hao Qi; Chufeng Zhang; Haiyong Zheng; Zhibin Yu 002 (IEEE Access, 2019)

Video-Based Real Time Analysis of Plankton Particle Size Spectrum. - Jia Yu 016; Xuewen Yang; Nan Wang 013; Gavin H. Tilstone; Elaine Fileman; Haiyong Zheng; Zhibin Yu 002; Min Fu; Bing Zheng (IEEE Access, 2019)

Vehicle tracking based on shape information and inter-frame motion vector. - Peng Liu 036; Guoyu Wang; Zhibin Yu 002; Xinchang Guo; Weigang Lu (Comput. Electr. Eng., 2019)

Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation. - Ziqiang Zheng; Zhibin Yu 002; Haiyong Zheng; Yang Wu 001; Bing Zheng; Ping Lin 001 (CoRR, 2019)

ReshapeGAN: Object Reshaping by Providing A Single Reference Image. - Ziqiang Zheng; Yang Wu 001; Zhibin Yu 002; Yang Yang 002; Haiyong Zheng; Takeo Kanade (CoRR, 2019)

EncryptGAN: Image Steganography with Domain Transform. - Ziqiang Zheng; Hongzhi Liu 002; Zhibin Yu 002; Haiyong Zheng; Yang Wu 001; Yang Yang 002; Jianbo Shi (CoRR, 2019)

Unpaired photo-to-caricature translation on faces in the wild. - Ziqiang Zheng; Chao Wang 022; Zhibin Yu 002; Nan Wang 013; Haiyong Zheng; Bing Zheng (Neurocomputing, 2019)

Underwater Image Enhancement Based on a Spiral Generative Adversarial Framework. - Ruyue Han; Yang Guan; Zhibin Yu 002; Peng Liu 036; Haiyong Zheng (IEEE Access, 2020)

Learning Attention-Enhanced Spatiotemporal Representation for Action Recognition. - Zhensheng Shi; Liangjie Cao; Cheng Guan; Haiyong Zheng; Zhaorui Gu; Zhibin Yu 002; Bing Zheng (IEEE Access, 2020)

SR-ITM-GAN: Learning 4K UHD HDR With a Generative Adversarial Network. - Huimin Zeng; Xinliang Zhang; Zhibin Yu 002; Yubo Wang 001 (IEEE Access, 2020)

In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting. - Xinliang Zhang; Huimin Zeng; Xiang Liu 012; Zhibin Yu 002; Haiyong Zheng; Bing Zheng (IEEE Access, 2020)

Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications. - Yubo Wang 001; Zhibin Yu 002; Tatinati Sivanagaraja; Kalyana C. Veluvolu (Appl. Soft Comput., 2020)

Discriminative Region Proposal Adversarial Network for High-Quality Image-to-Image Translation. - Chao Wang 022; Wenjie Niu; Yufeng Jiang; Haiyong Zheng; Zhibin Yu 002; Zhaorui Gu; Bing Zheng (Int. J. Comput. Vis., 2020)

KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling. - Hao Ding; Bin Wei; Zhaorui Gu; Zhibin Yu 002; Haiyong Zheng; Bing Zheng; Juan Li (Multim. Tools Appl., 2020)

Depth map prediction from a single image with generative adversarial nets. - Shaoyong Zhang; Na Li; Chenchen Qiu; Zhibin Yu 002; Haiyong Zheng; Bing Zheng (Multim. Tools Appl., 2020)

Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework. - Yan Zhao; Ziqiang Zheng; Chao Wang 022; Zhaorui Gu; Min Fu; Zhibin Yu 002; Haiyong Zheng; Nan Wang 013; Bing Zheng (Multim. Tools Appl., 2020)

TumorGAN: A Multi-Modal Data Augmentation Framework for Brain Tumor Segmentation. - Qingyun Li; Zhibin Yu 002; Yubo Wang 001; Haiyong Zheng (Sensors, 2020)

Detecting Mitosis Against Domain Shift Using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge. - Jingtang Liang; Cheng Wang; Yujie Cheng; Zheng Wang; Fang Wang; Liyu Huang; Zhibin Yu 002; Yubo Wang 001 (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Representation-guided generative adversarial network for unpaired photo-to-caricature translation. - Ziqiang Zheng; Hongzhi Liu 002; Fan Yang 032; Xingyu Zheng; Zhibin Yu 002; Shaoda Zhang (Comput. Electr. Eng., 2021)

Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation. - Haoxu Zhang; Chenchen Qiu; Chao Wang 022; Bin Wei; Zhibin Yu 002; Haiyong Zheng; Juan Li (Concurr. Comput. Pract. Exp., 2021)

Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation. - Ziqiang Zheng; Zhibin Yu 002; Yang Wu 001; Haiyong Zheng; Bing Zheng; Minho Lee 001 (Neural Networks, 2021)

Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction. - Qi Zhao; Zhichao Xin; Zhibin Yu 002; Bing Zheng (Sensors, 2021)

Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation. - Ziqiang Zheng; Jie Yang; Zhibin Yu 002; Yubo Wang 001; Zhijian Sun; Bing Zheng (Neural Networks, 2022)

One-Shot Image-to-Image Translation via Part-Global Learning With a Multi-Adversarial Framework. - Ziqiang Zheng; Zhibin Yu 002; Haiyong Zheng; Yang Yang 002; Heng Tao Shen (IEEE Trans. Multim., 2022)

CoralVOS: Dataset and Benchmark for Coral Video Segmentation. - Ziqiang Zheng; Xie Yaofeng; Haixin Liang; Zhibin Yu 002; Sai-Kit Yeung (CoRR, 2023)

Scale Information Enhancement for Few-Shot Object Detection on Remote Sensing Images. - Zhenyu Yang; Yongxin Zhang; Jv Zheng; Zhibin Yu 002; Bing Zheng (Remote. Sens., 2023)

Robust Perception Under Adverse Conditions for Autonomous Driving Based on Data Augmentation. - Ziqiang Zheng; Yujie Cheng; Zhichao Xin; Zhibin Yu 002; Bing Zheng (IEEE Trans. Intell. Transp. Syst., 2023)

UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement. - Yaofeng Xie; Lingwei Kong; Kai Chen; Ziqiang Zheng; Xiao Yu; Zhibin Yu 002; Bing Zheng (CVPR, 2024)

Multispectral Semantic Segmentation for UAVs: A Benchmark Dataset and Baseline. - Qiusheng Li; Hang Yuan; Tianning Fu; Zhibin Yu 002; Bing Zheng; Shuguo Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

Redefining Accuracy: Underwater Depth Estimation for Irregular Illumination Scenes. - Tong Liu; Sainan Zhang; Zhibin Yu 002 (Sensors, 2024)

Multi-object detection and tracking algorithm for fry counting based on DV-YOLO and FryMOT. - Hang Yuan; Zhibin Yu 002; Qiusheng Li; Tianning Fu; Bing Zheng (ICASSP, 2025)

Selective Enhanced Attention and Cross-Component Interaction for Long-Term Time Series Forecasting. - Hongchi Hao; Shouyu Ren; Hanru Li; Zhibin Yu 002 (IEEE Signal Process. Lett., 2025)