Journal

[29] Fengrui Tian, Zhiqiang Tian*, Zhang Chen, Dong Zhang, Shaoyi Du*. Surface‐GCN: Learning interaction experience for organ segmentation in 3D medical images, Medical Physics, 2023. https://doi.org/10.1002/mp.16280
 
[28] Ce Li*, Fenghua Liu, Zhiqiang Tian, Shaoyi Du, Yang Wu. DAGCN: Dynamic and Adaptive Graph Convolutional Network for Salient Object Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022. https://doi.org/10.1109/TNNLS.2022.3219245.
 
[27] Lei Sun, Zhiqiang Tian*, Zhang Chen, Wenrui Luo, Shaoyi Du. An efficient interactive segmentation framework for medical images without pre‐training, Medical Physics, 2022. https://doi.org/10.1002/mp.16120
 
[26] Rujing Yue, Zhiqiang Tian*, Shaoyi Du. Action recognition based on RGB and skeleton data sets: A survey, Neurocomputing, 2022, https://doi.org/10.1016/j.neucom.2022.09.071.
 
[25] Xuelin Tian, Chunjiang An*, Zhikun Chen, Zhiqiang Tian. Assessing the Impact of COVID-19 Pandemic on Urban Transportation and Air Quality in Canada. Science of the Total Environment, 765, 144270, 2021. (ESI高被引)
 
[24] Zhang Chen, Zhiqiang Tian, Yaoyue Zheng, Xiangyu Si, Xulei Qin, Zhong Shi, Shuai Zheng*. Image-level supervised segmentation for human organs with confidence cues. Physics in Medicine and Biology, 2021. https://doi.org/10.1088/1361-6560/abde98.
 
[23] Shuai Liu, Jie Feng, Zhiqiang Tian. Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising. Remote Sensing, 13(6):1101, 2021.
 
[22] Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng. A Real-time Robotic Grasping Approach with Oriented Anchor Box. IEEE Trans. Syst. Man Cybern. Syst., 51(5): 3014–3025, 8734882, 2021.
 
[21] Ce Li, Dong Zhang, Zhiqiang Tian, Shaoyi Du, Yanyun Qu. Few-shot learning with deformable convolution for multiscale lesion detection in mammography. Medical Physics. 2020. https://doi.org/10.1002/mp.14129
 
[20] Ce Li, Dong Zhang, Shaoyi Du, Zhiqiang Tian. Deformation and Refined Features Based Lesion Detection on Chest X-Ray. IEEE Access. 2020, 8: 14675-14689.
 
[19] Qinghai Zheng, Jihua Zhu, Zhiqiang Tian, Zhongyu Li, Shanmin Pang, Xiuyi Jia. Constrained bilinear factorization multi-view subspace clustering. Knowledge-Based Systems, 2020:105514.
 
[18] Zhiqiang Tian*, Jingyi Song, Chenyang Zhang, Xiaohui Tian, Zhong Shi, Xiaofu Yu. A Multi-Scale based Adjustable Convolutional Neural Network for Multiple Organs Segmentation. Wireless Communications and Mobile Computing, 2020.
 
[17] Wensong Chan, Zhiqiang Tian*, Yang Wu. GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition. Sensors, 2020, 20(12), 3499.
 
[16] 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. Neurocomputing, 2020. (https://doi.org/10.1016/j.neucom.2020.06.102)
 
[15] Zhiqiang Tian*, Xiaojian Li, Yaoyue Zheng, Zhang Chen, Zhong Shi, Lizhi Liu, Baowei Fei. Graph‐convolutional‐network‐based interactive prostate segmentation in MR images. Medical Physics, 2020. (https://doi.org/10.1002/mp.14327)
 
[14] Youzi Xiao, Zhiqiang Tian*, Jiachen Yu, Yinshu Zhang, Shuai Liu, Shaoyi Du, Xuguang Lan. A Review of object detection based on deep learning. Multimedia Tools and Applications. 2020. (https://doi.org/10.1007/s11042-020-08976-6)
 
[13] Zhiqiang Tian*, Yaoyue Zheng, Xiaojian Li, Shaoyi Du, Xiayu Xu. Graph convolutional network based optic disc and cup segmentation on fundus images. Biomedical Optics Express. 2020, 11(6): 3043–3057.
 
[12] Hanbo Zhang, Xuguang Lan, Xinwen Zhou, Zhiqiang Tian, Yang Zhang, Nanning Zheng. Robotic grasping in multi-object stacking scenes based on visual reasoning. SCIENTIA SINICA Technologica, 2018, 48(12): 1341-1356.
 
[11] 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. Biomedical optics express, 2018, 9(7), 3153–3166.
 
[10] Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei, "PSNet: prostate segmentation on MRI based on a convolutional neural network," Journal of Medical Imaging, 5(2), 021208, 2018.
 
[9] Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Jianru Xue, and Baowei Fei. A supervoxel-based segmentation method for prostate MR images. Medical Physics, 44(2), pp. 558-569, 2017.
 
[8] Ling Ma, Rongrong Guo, Zhiqiang Tian, Baowei Fei. A Random Walk-based Segmentation Framework for 3D Ultrasound Images of the Prostate. Medical Physics, 44(10), pp. 5128–5142, 2017. (WOS:000412901300022. IF: 2.617)
 
[7] Lizhi Liu, Zhiqiang Tian*, Zhenfeng Zhang, and Baowei Fei. Computer-aided detection of prostate cancer with MRI: technology and applications. * 共同一作. Academic Radiology, 23(8), pp. 1024-1046, 2016. (WOS: 000380734200013. IF: 2.128)
 
[6] Zhiqiang Tian and Yuping Lin. Video object segmentation based on supervoxel for multimedia corpus construction. Neurocomputing, 215, pp. 128-137, 2016. (WOS: 000387300700014. IF: 3.317)
 
[5] Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, and Baowei Fei. Superpixel-based Segmentation for 3D Prostate MR Images. IEEE transactions on Medical Imaging, 35(3), pp. 791-801, 2016.
 
[4] Zhiqiang Tian, Jianru Xue, Xuguang Lan, Ce Li, and Nanning Zheng. Object segmentation and key-pose based summarization for motion video. Multimedia Tools and Applications, 72(2), pp. 1773-1802, 2014. (WOS: 000339891300033. IF: 1.53)
 
[3] Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, and Gang Zhou. Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood. IET Computer Vision, 8(1), pp. 16-25, 2014. (WOS: 000331140600002. IF: 0.878)
 
[2] Ce Li, Jianru Xue, Nanning Zheng, Xuguang Lan, and Zhiqiang Tian. Spatio-temporal saliency perception via hypercomplex frequency spectral contrast. Sensors, 13(3), pp. 3409-3431, 2013. (WOS: 000316612900046. IF: 2.677)
 
[1] Ce Li, Jianru Xue, Zhiqiang Tian, Lu Li, and Nanning Zheng. Saliency detection based on biological plausibility of hypercomplex fourier spectrum contrast. Optics Letters, 37(17), pp. 3609-3611, 2012. (WOS: 000308595300045. IF: 3.416)
 

Conference

[39] Huijian Zhou, Zhiqiang Tian*, Shaoyi Du. Two Stream Multi-Attention Graph Convolutional Network For Skeleton-Based Action Recognition. The 8th International Symposium on Artificial Intelligence and Robotics. 2023: accepted.
 
[38] Wenrui Luo, Yingxuan Zhang, Bohua Wang, Lei Sun, Hua Liu, Hui Ma, Zhiqiang Tian*. C2FC：Coarse-to-fine Contour-based Method For Interactive Medical Image Segmentation. The 8th International Symposium on Artificial Intelligence and Robotics. 2023: accepted.
 
[37] Zhang Chen, Zhiqiang Tian*, Jihua Zhu, Ce Li, Shaoyi Du*. C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022: 11676-11685.
 
[36] Junling Zheng, Wensong Chan, Shaoyi Du, Fei Zhao, Zhiqiang Tian*. Coordinate transformation and connection feature for Skeleton-based action recognition, China Automation Congress (CAC), 2021.
 
[35] Yi Yue, Zhiqiang Tian*, Yanan Qiao. TransDeeplabv3: Multi-Prior Framework for Medical Image Segmentation, China Automation Congress (CAC), 2021.
 
[34] Lei Sun, Chenyang Zheng, Zhang Chen, Haojie Zheng, Shuai Liu, Zhengping Na, Zhiqiang Tian*. Online-GCN: An Online Interactive Segmentation Method Based on Graph Convolutional Network, the 6th International Symposium on Artificial Intelligence and Robotics, 2021. Accession number: 20214911281120.
 
[33] Chenyang Zheng, Xiangyu Si, Lei Sun, Zhang Chen, Linghao Yu, Zhiqiang Tian*. Multi-agent reinforcement learning for prostate localization based on multi-scale image representation, the 6th International Symposium on Artificial Intelligence and Robotics, 2021. Accession number: 20214911281131.
 
[32] Liangjie Dong, Huan Wang, Bo Xu, Yaoyue Zheng, Yarong Shi, Tao Xu, Zhiqiang Tian*. An Adaptive Anchor Neural Network for Defect Detection in Aluminum Profiles Images, the 6th International Symposium on Artificial Intelligence and Robotics, 2021. Accession number: 20214911281112.
 
[31] Binglei Zhao, Hanbo Zhang, Xuguang Lan*, Haoyu Wang, Zhiqiang Tian, Nanning Zheng. REGNet: REgion-based Grasp Network for End-to-end Grasp Detection in Point Clouds. IEEE International Conference on Robotics and Automation (ICRA), 2021.
 
[30] Lei Tao, Ling Ma, Maoqiang Xie, Xiabi Liu, Zhiqiang Tian, Baowei Fei. Automatic segmentation of the prostate on MR images based on anatomy and deep learning. SPIE Medical Imaging, 2021.
 
[29] Chenyang Zhang, Zhiqiang Tian*, Jingyi Song, Yaoyue Zheng, Bo Xu. Construction Worker Hardhat-Wearing Detection Based on an Improved BiFPN. 25th International conference on pattern recognition (ICPR) 2020. Accession number: 20212910659062.
 
[28] Jingyi Song, Zhiqiang Tian*, Chenyang Zhang, Yaoyue Zheng, Zhong Shi and Xiaofu Yu. International Symposium on Artificial Intelligence and Robotics. Aug. 2020. 
 
[27] Yudiao Wang, Xuguang Lan, Yinshu Zhang, Ruixue Miao, Zhiqiang Tian*. Multiresolution mixture generative adversarial network for image super-resolution. IEEE International Conference on Multimedia & Expo. London, July 2020. 
 
[26] Yaoyue Zheng, Zhang Chen, Xiaojian Li, Xiangyu Si, Liangjie Dong, Zhiqiang Tian*. Deep level set with confidence map and boundary loss for medical image segmentation. IEEE International Conference on Multimedia & Expo. London, July 2020. 
 
[25] Xiangyu Si, Zhiqiang Tian*, Xiaojian Li, Zhang Chen, Gen Li.: Multi-step Segmentation for Prostate MR Image based on Reinforcement learning. In: SPIE Medical Imaging, 2020. 
 
[24] Zhang Chen, Zhiqiang Tian*, Xiaojian Li, Yinshu Zhang.: Exploiting confident information for weakly supervised prostate segmentation based on image-level labels. In: SPIE Medical Imaging, 2020. 
 
[23] Huihui Huo, Yaochen Li*, Chuan Wu, Xiao Wu, Zhiqiang Tian, and Yuehu Liu. Semantic segmentation and scene reconstruction for traffic simulation using CNN. In Proceedings of 2nd China Symposium on Cognitive Computing and Hybrid Intelligence, Xi'an, Sep. 2019.
 
[22] Hanbo Zhang, Xuguang Lan, Site Bai, Xinwen Zhou, Zhiqiang Tian, Nanning Zheng. ROI-based robotic grasp detection for object overlapping scenes. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019:4768-4775.
 
[21] Wensong Chan, Zhiqiang Tian*, Shuai Liu, Jing Ren, Xuguang Lan.: Select and focus: Action recognition with spatial-temporal attention. 12th International Conference Intelligent Robotics and Applications. 2019: 461-471. 
 
[20] Chao Zhu, Yaochen Li*, Yuehu Liu, Zhiqiang Tian, Zhichao Cui, Chi Zhang and Xinyu Zhu. Road scene layout reconstruction based on CNN and its application in traffic simulation. In Proceedings of IEEE Intelligent Vehicles Symposium, Paris, Jun. 2019.
 
[19] Xinwen Zhou, Xuguang Lan, Hanbo Zhang, Zhiqiang Tian, Yang Zhang, Nanning Zheng. Fully convolutional grasp detection network with oriented anchor box. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2018: 7223-7230.
 
[18] Jiachen Yu, Li Jin, Jiayi Chen, Zhiqiang Tian*, Xuguang Lan. Multi-scale Neural Style Transfer Based on Deep Semantic Matching. International Conference on Cognitive Systems and Signal Processing. 2018: 185-196. 
 
[17] Yinshu Zhang, Jiayi Chen, Xiangyu Si, Zhiqiang Tian*, Xuguang Lan. Image Artistic Style Transfer Based on Color Distribution Preprocessing. International Conference on Cognitive Systems and Signal Processing. 2018: 155-164. 
 
[16] Zhiqiang Tian, Baowei Fei. Deep convolutional neural networks for prostate MR segmentation. Proc. SPIE Medical Imaging, 101351L, Orlando, Florida, United States, Feb. 2017 (Oral presentation. EI: 20172403760819)
 
[15] Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Peter T. Nieh, Viraj Master, David M. Schuster, Baowei Fei. Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Proc. SPIE Medical Imaging, 9786-6, San Diego, California, United States, Feb. 2016. (EI: 20163402725207)
 
[14] Ling Ma, Rongrong Guo, Zhiqiang Tian, Rajesh Venkataraman, Saradwata Sarkar, Xiabi Liu, Funmilayo Tade, David M. Schuster, and Baowei Fei. Combining population and patient-specific characteristics for prostate segmentation on 3D CT Images. Proc. SPIE Medical Imaging, 9784-78, San Diego, California, United States, Feb. 2016. (EI: 20163402721161)
 
[13] Hyunkoo Chung, Guolan Lu, Zhiqiang Tian, Dongsheng Wang, Georgia Z. Chen, and Baowei Fei. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging. Proc. SPIE Medical Imaging, 9788-38, San Diego, California, United States, Feb. 2016. (EI: 20162902615898)
 
[12] Zhiqiang Tian, Lizhi Liu and Baowei Fei. A supervoxel-based segmentation method for prostate MR images. Proc. SPIE Medical Imaging, 941318, Orlando, Florida, United States, Feb. 2015. (Oral presentation. EI: 20154101372893)
 
[11] Zhiqiang Tian, Lizhi Liu and Baowei Fei. A fully automatic multi-atlas based segmentation method for prostate MR images. Proc. SPIE Medical Imaging, 941340, Florida, United States, Feb. 2015. (EI: 20154101372980)
 
[10] Lu Li, Jianru Xue, Zhiqiang Tian and Nanning Zheng. Moment feature based forensic detection of resampled digital images. ACM International Conference on Multimedia (MM), pp. 569-572, Barcelona, Spain, Oct. 2013. (EI: 20134716995548)
 
[9] Gang Zhou, Yuehu Liu, Zhiqiang Tian. Scene text detection with superpixels and hierarchical model. IEEE International Conference on Image Processing (ICIP), pp. 1001-1004, Orlando, Florida, Oct. 2012. (EI: 20131116112464)
 
[8] Ce Li, Jianru Xue, Nanning Zheng and Zhiqiang Tian. Nonparametric bottom-up saliency detection using hypercomplex spectral contrast. ACM International Conference on Multimedia (MM), pp. 1157-1160, Scottsdale, Arizona, United States, Nov. 2011. (EI: 20115214648782)
 
[7] Zhiqiang Tian, Jianru Xue, Xuguang Lan, Ce Li and Nanning Zheng. Key object-based static video summarization. ACM International Conference on Multimedia (MM), pp. 1301-1304, Scottsdale, Arizona, United States, Nov. 2011. (EI: 20115214648818)
 
[6] Jianji Wang, Yuehu Liu, Ping Wei, Zhiqiang Tian, Yaochen Li, Nanning Zheng. Fractal image coding using SSIM. IEEE International Conference on Image Processing (ICIP), pp. 241-244, Brussels, Belgium, Sep. 2011. (EI: 20120514730190)
 
[5] Zhiqiang Tian, Jianru Xue, Nanning Zheng, Xuguang Lan and Ce Li. 3D spatio-temporal graph cuts for video objects segmentation. IEEE International Conference on Image Processing (ICIP), pp.2393-2396, Brussels, Belgium, Sep. 2011. (EI: 20120514730183 )
 
[4] Ce Li, Jianru Xue, Nanning Zheng, Shaoyi Du, Jihua Zhu and Zhiqiang Tian. A fast and robust isotropic scaling iterative closest point algorithm. IEEE International Conference on Image Processing (ICIP), pp. 1485-1488, Brussels, Belgium, Sep. 2011. (EI: 20120514729932)
 
[3] Gang Zhou, Yuehu Liu, Zhiqiang Tian, Yuanqi Su. A new hybrid method to detect text in natural scene. IEEE International Conference on Image Processing (ICIP), pp. 2605-2608, Brussels, Belgium, Sep. 2011. (EI: 20120514730258 )
 
[2] Zhiqiang Tian, Jianru Xue, Ce Li, Xuguang Lan and Nanning Zheng. Auto-generated strokes for motion segmentation. In Processings of International Symposium on Circuits and Systems (ISCAS), pp. 857-860, Roi de Janeiro, Brazil, May 2011. (EI: 20113114197295)
 
[1] Zhiqiang Tian, Jianru Xue, Hu Wei, Xu Tao and Nanning Zheng. High performance cluster-based transcoder. In Processings of International Conference on Computer Application and System Modeling (ICCASM), pp. V2-48-V2-52, Taiyuan, China, Oct. 2010. (EI: 20104913451917)