Qieshi Zhang received the Ph.D. degree from Waseda University, Japan, in 2014. From 2010 to 2012, he was a Research Fellow with the Japan Society for the Promotion of Science (JSPS), Japan. From 2012 to 2016, he was a Research Assistant and Research Associate with the IPS Research Center, Waseda University, Japan. He is currently an Associate Professor with the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China.

Research Areas

Computer Vision, Autonomous Driving, Intelligent Robots, and UAVs


Publications

Papers

Journal Papers

  1. Qieshi Zhang, Jun Cheng*, Shengwen Wang, Chengjun Xu, and Xiangyang Gao, "Point-selection and multi-level-point-feature fusion based 3D point cloud classification," Electronics Letters, vol. 56, no. 6, pp. 290-293, Mar. 2020.

  2. Yanling Tian, Yubo Du, Qieshi Zhang*, Jun Cheng, and Zhuo Yang, "Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network," IET Intelligent Transport Systems (ITS), vol. 14, no. 5, pp. 338-345, May 2020.

  3. Ziliang Ren#, Qieshi Zhang#, Piye Qiao, Maolong Niu, Xiangyang Gao, Jun Cheng, "Joint learning of convolution neural networks for RGB-D-based human action recognition," Electronics Letters, vol. 56, no. 21, pp. 1112-1115, Oct. 2020.

  4. Jin Zhang, Fuxiang Wu, Bo Wei, Qieshi Zhang, Hui Huang, Syed W. Shah, and Jun Cheng, "Data augmentation and dense-LSTM for human activity recognition using WiFi signal," IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4628-4641, Mar. 2021.

  5. Ziliang Ren#, Qieshi Zhang#, Jun Cheng, Fusheng Hao, and Xiangyang Gao, "Segment spatial-temporal representation and cooperative learning of convolution neural networks for multimodal-based action recognition," Neurocomputing, vol. 433, pp. 142-153, Apr. 2021.

  6. Ziliang Ren#, Qieshi Zhang#, Xiangyang Gao, Pengyi Hao, and Jun Cheng, "Multi-modality learning for human action recognition," Multimedia Tools and Applications (MTAP), vol. 80, no. 11, pp. 16185-16203, May, 2021

  7. Hongde Dai, Juan Li, Yu Kuang, Jian Liao, Qieshi Zhang*, and Yuhang Kang, "Multiscale fuzzy entropy and PSO-SVM based fault diagnoses for airborne fuel pumps," Human-centric Computing and Information Sciences (HCIS), vol. 11, no. 25, pp. 1-16, Jun. 2021.

  8. Jun Cheng, Penglei Liu, Qieshi Zhang, Hui Ma, Fei Wang, and Jun Zhang, "Real-time and efficient 6D pose estimation from a single RGB image," IEEE Trans. on Instrumentation & Measurement (TIM), vol. 70, 2021

  9. Jun Cheng, Ziliang Ren, Qieshi Zhang, Fusheng Hao, and Xiangyang Gao, "Cross-modality compensation convolutional neural networks for RGB-D action recognition," IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), vol., pp., 2021. (Accepted)

  10. Jun Cheng, Yuhang Kang, Bin Xin, Qieshi Zhang, Kai Mao and Shaolei Zhou, "Time-varying trajectory tracking formation H∞ control for multi-agent systems with communication delays and external disturbances," IEEE Trans. on Systems, Man and Cybernetics, Systems (TSMC), vol., pp., 2021. (Accepted)

  11. Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, and Qieshi Zhang, " Mixer-based semantic spread for few-shot learning," IEEE Trans. on Multimedia (TMM), vol., pp., 2021. (Accepted)

Conference Papers

  1. Qieshi Zhang, Liyan Gu, Jun Cheng, Xiaojun Wu*, and Sei-ichiro Kamata, "Auto coder-decoder (CODEC) model based sparse representation for image super resolution," in Proc. of Int'l Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1-6, 2017.10.14-16 

  2. Yanling Tian, Weitong Zhang, Qieshi Zhang, and Gang Lu*, "Inception classification and object detection based joint-CNN for indoor scene classification," in Proc. of Int'l Multi-Conf. of Engineers and Computer Scientists (IMECS), vol. 1, pp. 334-338, 2018.03.14-16 

  3. Hui Xiang, Jun Cheng*, Qieshi Zhang, and Jianming Liu, "Synthesized prioritized data pruning based deep deterministic policy gradient algorithm improvement," in Proc. of IEEE Int'l Conf. on Information Acquisition (ICIA), pp. 121-126, 2018.08.11-13 

  4. Kai Li, Jun Cheng, Qieshi Zhang*, and Jianming Liu, "Hand gesture tracking and recognition based human-computer interaction system and its applications," in Proc. of IEEE Int'l Conf. on Information Acquisition (ICIA), pp. 667-672, 2018.08.11-13 

  5. Tao Jiang, Xiaojun Wu*, Yu Zhang*, Wuyang Shui, Gang Lu, Shiqi Guo, Fei Hao, and Qieshi Zhang, "Recursive inception network for super-resolution," in Proc. of 24th IAPR Int'l Conf. on Pattern Recognition (ICPR), pp. 2759-2764, 2018.08.20-24, 

  6. Yanling Tian, Weitong Zhang, Qieshi Zhang*, Gang Lu*, and Xiaojun Wu, "Selective multi-convolutional region feature extraction based iterative discrimination CNN for fine-grained vehicle model recognition," in Proc. of 24th IAPR Int'l Conf. on Pattern Recognition (ICPR), pp. 3279-3284, 2018.08.20-24 

  7. Liangliang Pan, Jun Cheng*, and Qieshi Zhang, "UFSM_VO: stereo odometry based on uniformly feature selection and strictly correspondence matching," in Proc. of 25th IEEE Int'l Conf. on Image Processing (ICIP), pp. 4148-4152, 2018.10.07-10 

  8. Yanling Tian, Weitong Zhang, Qieshi Zhang*, Jun Cheng, Pengyi Hao and Gang Lu, "Co-consistent regularization with discriminative feature for zero-shot learning," in Proc. of 25th Int'l Conf. on Neural Information Processing (ICONIP), vol. 11301, pp. 33-45, 2018.12.13-16 

  9. Weitong Zhang, Qieshi Zhang*, Jun Cheng, Cong Bai, and Pengyi Hao, "End-to-end panoptic segmentation with pixel-level non-overlapping embedding," in Proc. of Int'l Conf. on Multimedia and Expo (ICME), pp. 976-981, 2019.07.08-12 

  10. Weitong Zhang, Yanling Tian, Qieshi Zhang*, and Jun Cheng, "TransNet: linkage recognition with contextual nexus for hard object," in Proc. of 5th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 75-79, 2019.08.04-09 

  11. Wanyin Wu, Zhao Yang, Dapeng Tao, Qieshi Zhang, and Jun Cheng*, "On comparing different metric learning schemes for deep feature based person re-identification with camera adaption," in Proc. of 5th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 86-91, 2019.08.04-09 

  12. Lulu Zhou, Yanling Tian, Gang Lu*, Xiaojun Wu, and Qieshi Zhang, "Linear protection grid optimized image stitching for mobile robots," in Proc. of 5th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 661-669, 2019.08.04-09 

  13. Rong Xiang, Yuan Liu, Qieshi Zhang*, and Jun Cheng, "Spatial pyramid pooling based convolutional autoencoder network for loop closure detection," in Proc. of 5th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 714-719, 2019.08.04-09 

  14. Cheng Lin, Yinwei Zhan, Zhuo Yang*, Jujian Lv, and Qieshi Zhang, "Accelerated detail-enhanced ambient occlusion," in Proc. of 26th IEEE Int'l Conf. on Image Processing (ICIP), pp. 2524-2528, 2019.09.22-25 

  15. Yuan Liu, Rong Xiang, Qieshi Zhang*, Ziliang Ren, and Jun Cheng, "Loop closure detection in SLAM using descriptor from improved hybrid deep learning architecture," in Proc. of 3rd IEEE Int'l Conf. on Data Science and Computational Intelligence (DSCI), pp. 312-317, 2019.10.21-23 

  16. Luoying Hao, Hongjian Li, Jun Cheng*, and Qieshi Zhang, "EIP-VIO: Edge-induced points based monocular visual-inertial odometry," in Proc. of 3rd IEEE Int'l Conf. on Data Science and Computational Intelligence (DSCI), pp. 416-421, 2019.10.21-23 

  17. Hongjian Li, Luoying Hao, Jun Cheng*, and Qieshi Zhang, "A lifted semi-direct monocular visual odometry," in Proc. of 3rd IEEE Int'l Conf. on Data Science and Computational Intelligence (DSCI), pp. 422-426, 2019.10.21-23 

  18. Luoying Hao, Hongjian Li, Qieshi Zhang, Xiping Hu, and Jun Cheng*, "LMVI-SLAM: robust low-light monocular visual-inertial simultaneous localization and mapping," in Proc. of 16th IEEE Int'l Conf. on Robotics and Biomimetics (ROBIO), pp. 271-276, 2019.12.06-08

  19. Jin Zhang, Fuxiang Wu, Wen Hu, Qieshi Zhang, Weitao Xu, and Jun Cheng, "WiEnhance: towards data augmentation in human activity recognition using WiFi signal", in Proc. of 15th Int'l Conf. on Mobile Ad-hoc and Sensor Networks (MSN), pp. 315-320, 2019.12.11-13 

  20. Guangxi Chen, Ling Hu, Qieshi Zhang*, Ziliang Ren, Xiangyang Gao, and Jun Cheng, "ST-LSTM: spatio-temporal graph based long short-term memory network for vehicle trajectory prediction," in Proc. of 27th IEEE Int'l Conf. on Image Processing (ICIP), pp. 608-612, 2020.10.25-28 

  21. Lincong Zhang, Ce Zhang, Kefeng Wei, Qieshi Zhang*, "Link fault repair algorithm of wearable wireless sensor networks based on polygon fermat point," in Proc. of 22th IEEE Int'l Conf. on e-Health Networking, Applications and Services (Healthcom), pp. 1-5, 2021.03.01-02 

  22. Yao Yu, Qirui Li, Qieshi Zhang*, Wenjian Hu, and Shumei Liu, "Blockchain-based multi-role healthcare data sharing system," in Proc. of 22th IEEE Int'l Conf. on e-Health Networking, Applications and Services (Healthcom), pp. 1-6, 2021.03.01-02 

  23. Penglei Liu, Qieshi Zhang, Jin Zhang, Fei Wang, and Jun Cheng*, "MFPN-6D: Real-time one-stage pose estimation of objects on RGB images," in Proc. of IEEE Int'l Conf. on Robotics and Automation (ICRA), pp. 12939-12945, 2021.05.31-06.04 

  24. Zifeng Tang, Fusheng Hao, Qieshi Zhang*, Jun Cheng, Jin Zhang and Yuan Shuai, "Complementary multi-branch CNNs towards real-world 3D point classification," in Proc. of 7th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 869-874, 2021.07.15-19 

  25. Qieshi Zhang, Dian Lin, Ziliang Ren, Yuhang Kang, Fuxiang Wu and Jun Cheng*, "Attention mechanism based monocular depth estimation and visual odometry," in Proc. of 7th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 951-956, 2021.07.15-19 

  26. Qin Cheng, Ziliang Ren, Jun Cheng, Qieshi Zhang, Hao Yan, and Jianming Liu, "Skeleton-based action recognition with multi-scale spatial-temporal convolutional neural network," in Proc. of 7th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 957-962, 2021.07.15-19 

  27. Hao Yan, Jun Cheng, Qieshi Zhang, Ziliang Ren, Shijie Sun, and Qin Cheng, "Two stream dynamic threshold network for weakly-supervised temporal action localization," in Proc. of 7th IEEE Int'l Conf. on Real-time Computing and Robotics (RCAR), pp. 963-967, 2021.07.15-19 

  28. Mingsong Chen, Zuwei Ouyang, Qieshi Zhang*, Ziliang Ren, Jun Cheng, and Shuai Yuan, "BEN: brightness enhancement network for low-light image enhancement in complex environment," in Proc. of 2nd Int'l Conf. on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), pp. 419-423, 2021.10.21-23

  29. Zhenyu Xu, Qieshi Zhang*, Fusheng Hao, Ziliang Ren, Yuhang Kang, and Jun Cheng, "VGG-CAE: unsupervised visual place recognition using VGG16-based convolutional autoencoder," in Proc. of 4th Chinese Conf. on Pattern Recognition and Computer Vision (PRCV), pp. 91-102, 2021.10.29-11.01 

  30. ​Qieshi Zhang, Luoying Hao, Hongjian Li, Ziliang Ren, Jun Cheng*, "GAN-SLAM: GAN based monocular visual-inertial simultaneous localization and mapping in dark environments," in Proc. of 5th Int'l Symp. on Autonomous Systems (ISAS), pp. xx-xx, 2021.12.17-19 

 

Students

现指导学生

马科伟  硕士研究生  085400-电子信息  

龚茗荣  硕士研究生  085400-电子信息  

许震宇  硕士研究生  085400-电子信息  

闫皎洁  硕士研究生  085400-电子信息  

王体超  硕士研究生  085400-电子信息  

程季晟  硕士研究生  085400-电子信息