Journal

2024

  1. [60]Hao Luo, Zhiqiang Tian*, Kaibing Zhang, Guofa Wang, Shaoyi Du*. Semi-supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning[J]. TMM, accepted.
  2. [59]Zhang Chen, Zhiqiang Tian*, Jihua Zhu, Shaoyi Du, Qindong Sun*. Cin-Seg: Causal Invariance for Tag-Supervised Segmentation on Medical Images[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73:2519613.
  3. [58]Bohua Wang, Zhiqiang Tian, Aixue Ye, Feng Wen, Shaoyi Du, Yue Gao. Generative Variational-Contrastive Learning for Self-supervised Point Cloud Representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. 
  4. [57]Chunyao Huang, Xiaomei Sun, Zhiqiang Tian, Shaoyi Du, Wei Zeng. Exploring conditional pixel-independent generation in GAN inversion for image processing[J]. Multimedia Tools and Applications, 2024.
  5. [56]Ling Ma, Qiliang Fan, Zhiqiang Tian*, Lizhi Liu, Baowei Fei. A novel Residual and Gated Network for prostate segmentation on MR images[J]. Biomedical Signal Processing and Control, 2024, 87:105508.
2023

  1. [55]Lei Sun, Zhiqiang Tian*, Zhang Chen, Wenrui Luo, Shaoyi Du. An efficient interactive segmentation framework for medical images without pre-training[J]. Medical Physics, 2023, 50(4): 2239-2248.
  2. [54]Fengrui Tian, Zhiqiang Tian*, Zhang Chen, Dong Zhang, Shaoyi Du. Surface-GCN: Learning interaction experience for organ segmentation in 3D medical images[J]. Medical Physics, 2023,50(8):5030-5044.
  3. [53]Yaoyue Zheng, Xuetao Zhang, Zhiqiang Tian*, Wei Zeng, and Shaoyi Du, Detach and Unite: A Simple Meta-Transfer for Few-Shot Learning[J]. Knowledge-Based Systems, 2023, 277:110798.
  4. [52]Qinghai Zheng, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Chen Li. Comprehensive Multi-view Representation Learning[J]. Information Fusion, 2023, 89: 198-209. 
  5. [51]Ce Li, Fenghua Liu, Zhiqiang Tian, Shaoyi Du, Yang Wu. DAGCN: Dynamic and Adaptive Graph Convolutional Network for Salient Object Detection[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.
  6. [50]Xiaomian Li, Jiaqin Lin, Zhiqiang Tian, Yuping Lin. An Explainable Student Fatigue Monitoring Module with Joint Facial Representation[J]. Sensors, 2023, 23(7), 3602.
  7. [49]Wenting Cui, Shaoyi Du*, Runzhao Yao, Canhui Tang, Aixue Ye, Feng Wen, and Zhiqiang Tian. RDD: Learning Reinforced 3D Detectors and Descriptors Based on Policy Gradient[J]. IEEE Transactions on Multimedia, 2023. 
  8. [48]Runzhao Yao, Shaoyi Du*, Wenting Cui, Aixue Ye, Feng Wen, Hongbo Zhang, Zhiqiang Tian, and Yue Gao*.  Hunter: Exploring High-Order Consistency for Point Cloud Registration With Severe Outliers[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023,45(12):14760-14776.
  9. [47]Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng. Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale Representation[J]. EURASIP Journal on Advances in Signal Processing, 2023,2023(1):132.
  10. [46]Changjun Li, Fei Zhao, Xuguang Lan, Zhiqiang Tian, Tao, Tao, Xuesong Mei. Bidirectional dynamic neural networks with physical analyzability[J]. Nonlinear Dynamics, 2023,111(17): 16309-16324.
2022
  1. [45]Zhiqiang Tian*, Xiangyu Si, Yaohyue Zheng, Zhang Chen, Xiaojian Li. Multi-step medical image segmentation based on reinforcement learning[J]. Journal of Ambient Intelligence and Humanized Computing, 2022,13:5011–5022. 
  2. [44]Rujing Yue, Zhiqiang Tian*, Shaoyi Du. Action recognition based on RGB and skeleton data sets:Asurvey[J].Neurocomputing,2022,512:287-306.
  3. [43]Jiachen Yu, Li Jin*, Jiayi Chen, Youzi Xiao, Zhiqiang Tian, Xuguang Lan. Deep semantic space guided multi‑scale neural style transfer[J]. Multimedia Tools and Applications, 2022, 81(3):3915-3938.
  4. [42]Ruiyuan Lu, Jihua Zhu, Xueming Qian, Zhiqiang Tian, Yi Yue. Scaled gated networks[J]. World Wide Web, 2022, 25(4): 1583-1606. 
  5. [41]Xinyuan Liu, Jihua Zhu, Qinghai Zheng, Zhiqiang Tian, Zhongyu Li. Semi-Supervised Label Distribution Learning with Co-regularization[J]. Neurocomputing, 2022,491: 353-364.
  6. [40]Yanlin Ma, Jihua Zhu, Zhiqiang, Tian, Zhongyu Li. Effective multiview registration of point clouds based on Student's-t mixture model[J]. Information Sciences, 2022,608:137-152.
2021

  1. [39]Zhiqiang Tian*, Xiaojian Li, Zhang Chen, Yaoyue Zheng, Hongcheng Fan, Zhongyu Li, Ce Li, and Shaoyi Du. Interactive prostate MR image segmentation based on ConvLSTMs and GGNN[J]. Neurocomputing, 2021,438: 84-93. 
  2. [38]Zhang Chen, Zhiqiang Tian, Yaoyue Zheng, Xiangyu Si, Xulei Qin, Zhong Shi, Shuai Zheng*. Image-level supervised segmentation for human organs with confidence cues[J]. Physics in Medicine and Biology, 2021,66(6): 065018.
  3. [37]Yaoyue Zheng, Xuetao Zhang, Xiayu Xu, Zhiqiang Tian*, and Shaoyi Du. Deep level set method for optic disc and cup segmentation on fundus images[J]. Biomedical Optics Express, 2021,12(11): 6969-6983. 
  4. [36]Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng. A Real-time Robotic Grasping Approach with Oriented Anchor Box[J]. IEEE Trans. Syst. Man Cybern. Syst, 2021,51(5): 3014–3025, 8734882.
  5. [35]Xuelin Tian, Chunjiang An*, Zhikun Chen, ZhiqiangTian. Assessing the Impact of COVID-19 Pandemic on Urban Transportation and Air Quality in Canada[J]. Science of the Total Environment, 2021,765: 144270. 
  6. [34]Shuai Liu*, Jie Feng, Zhiqiang Tian. Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising[J]. Remote Sensing, 2021,13(6): 1101.
  7. [33]Shuai Zheng*, Haojie Fan, Ziyu Zhang, Zhiqiang Tian, Kang Jia. Accurate and Real-Time Structural Topology Prediction Driven by Deep Learning under Moving Morphable Component-Based Framework[J]. Applied Mathematical Modelling, 2021, 97: 522-535.
  8. [32]Xinyuan Liu, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Xiuyi Jia, Lei Chen. Unified framework for learning with label distribution[J].Information fusion, 2021,75:116-130.
  9. [31]Qinghai Zheng, Jihua Zhu, Yuanyuan Ma, Zhongyu Li, Zhiqiang Tian. Multi-view subspace clustering networks with local and global graph information[J]. Neurocomputing, 2021,449: 15–23.
  10. [30]杨培伟, 周余红, 邢岗, 田智强, 许夏瑜*. 卷积神经网络在生物医学图像上的应用进展[J].计算机工程与应用，2021，57(7):44-58.
  11. [29]林玉萍，郑尧月，郑好洁，张栋，王丛，李小棉，李颖玉，田智强*。基于医学影像分割方法的多模态语料库构建[J].模式识别与人工智能，2021，34(4): 353-360.
2020
  1. [28]Zhiqiang Tian*, Yaoyue Zheng, Xiaojian Li, Shaoyi Du, Xiayu Xu. Graph convolutional network based optic disc and cup segmentation on fundus images[J]. Biomedical Optics Express, 2020,11(6): 3043–3057. 
  2. [27]Zhiqiang Tian*, Chunhui Wang, Youzi Xiao, Yuping Lin. Flexible scene text recognition based on dual attention mechanism[J]. Concurrency and Computation: Practice and Experience, 2020,33(22):1-12. 
  3. [26]Youzi Xiao, Zhiqiang Tian*, Jiachen Yu, Yinshu Zhang, Shuai Liu, Shaoyi Du, Xuguang Lan. A Review of object detection based on deep learning[J]. Multimedia Tools and Applications,  2020,79: 23729–23791.
  4. [25]Zhiqiang Tian*, Xiaojian Li, Yaoyue Zheng, Zhang Chen, Zhong Shi, Lizhi Liu, Baowei Fei. Graph-convolutional-network-based interactive prostate segmentation in MR images[J]. Medical Physics, 2020,47(9): 4164-4176. 
  5. [24]Zhiqiang Tian*, Yudiao Wang, Shaoyi Du, Xuguang Lan. A multiresolution mixture generative adversarial network for video super-resolution[J]. Plos One, 2020,15(7): e0235352. 
  6. [23]Zhongyu Li, Jiamin Liu, Zhiqiang Tian*, Jihua Zhu, Ce Li, Shaoyi Du. Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration[J]. Neurocomputing, 2020,413: 230-239. 
  7. [22]Wensong Chan, Zhiqiang Tian*, Yang Wu. GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition[J]. Sensors, 2020,20(12): 3499.
  8. [21]Zhiqiang Tian*, Jingyi Song, Chenyang Zhang, Xiaohui Tian, Zhong Shi, Xiaofu Yu. A Multiscale-based Adjustable Convolutional Neural Network for Multiple Organs Segmentation[J]. Wireless Communications and Mobile Computing, 2020,(2020):1-13.
  9. [20]Xiuxiu Bai, Cong Wang, Zhiqiang Tian*. Self-adaptive Superpixels based on Neural Network Models[J]. IEEE Access, 2020,8: 137254-137262. (10.1109/ACCESS.2020.3011712)
  10. [19]Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia. Constrained bilinear factorization multi-view subspace clustering[J]. Knowledge-Based Systems, 2020,194: 105514.
  11. [18]Ce Li, Dong Zhang, Shaoyi Du, Zhiqiang Tian. Deformation and Refined Features Based Lesion Detection on Chest X-Ray[J]. IEEE Access, 2020,8: 14675-14689.
  12. [17]Ce Li, Dong Zhang, Zhiqiang Tian, Shaoyi Du, Yanyun Qu. Few-shot learning with deformable convolution for multiscale lesion detection in mammography[J]. Medical Physics, 2020,47(7):2970-2985. 
  13. [16]Shuai Liu*, Ciaxia Hong, Jing He, Zhiqiang Tian. Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer[J]. Sensors, 2020,20(18): 5232. 
  14. [15]Hanbo Zhang, Xuguang Lan∗, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng. Visual manipulation relationship recognition in object-stacking scenes[J]. Pattern Recognition Letters, 2020,140: 34-42.
  15. [14]Li Zhu, Long Jin, Jihua Zhu, Zhongyu Li, Zhiqiang Tian, Huimin Lu. Blind Image Deblurring Based on Local Rank[J]. Mobile Networks and Applications, 2020,25(4): 1446-1456.
2019

  1. [13]徐思雨，祝继华*，田智强，李垚辰，庞善民. 逐步求精的多视角点云配准方法[J]. 自动化学报，2019，45(8): 1486-1494. 
2018

  1. [12]Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei. PSNet: prostate segmentation on MRI based on a convolutional neural network[J]. Journal of Medical Imaging, 2018,5(2): 021208. (20182005196152)
  2. [11]Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng. Robotic grasping in multi-object stacking scenes based on visual reasoning[J]. SCIENTIA SINICA Technologica, 2018,48(12): 1341-1356.
  3. [10]Xiayu Xu, Rendong Wang, Peilin Lv, Bin Gao, Chan Li, Zhiqiang Tian, Tao Tan, and Feng Xu. Simultaneous arteriole and venule segmentation with domain-specific loss function on a new public database[J]. Biomedical optics express, 2018,9(7): 3153–3166.
2017

  1. [9]Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Jianru Xue, and Baowei Fei. A supervoxel-based segmentation method for prostate MR images[J]. Medical Physics, 2017,44(2):558-569.
  2. [8]Ling Ma, Rongrong Guo, Zhiqiang Tian, Baowei Fei. A Random Walk-based Segmentation Framework for 3D Ultrasound Images of the Prostate[J]. Medical Physics, 2017,44(10): 5128–5142.
2016

  1. [7]Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, and Baowei Fei. Superpixel-based Segmentation for 3D Prostate MR Images[J]. IEEE transactions on Medical Imaging, 2016,35(3):791-801.
  2. [6]Zhiqiang Tian and Yuping Lin. Video object segmentation based on supervoxel for multimedia corpus construction[J]. Neurocomputing, 2016,215:128-137. 
  3. [5]Lizhi Liu, Zhiqiang Tian*, Zhenfeng Zhang, and Baowei Fei. Computer-aided detection of prostate cancer with MRI: technology and applications[J]. Academic Radiology, 2016,23(8):1024-1046. 
2014

  1. [4]Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, and Gang Zhou. Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood[J]. IET Computer Vision, 2014,8(1):16-25. 
  2. [3]Zhiqiang Tian, Jianru Xue, Xuguang Lan, Ce Li, and Nanning Zheng. Object segmentation and key-pose based summarization for motion video[J]. Multimedia Tools and Applications, 2014,72(2):1773-1802. 
2013

  1. [2]Ce Li, Jianru Xue, Nanning Zheng, Xuguang Lan, and Zhiqiang Tian. Spatio-temporal saliency perception via hypercomplex frequency spectral contrast[J].Sensors, 2013,13(3):3409-3431. 
2012
  1. [1]Ce Li, Jianru Xue, Zhiqiang Tian, Lu Li, and Nanning Zheng. Saliency detection based on biological plausibility of hypercomplex fourier spectrum contrast[J]. Optics Letters, 2012,37(17): 3609-3611.