Dr. Guo-Sen Xie is currently a Professor at Nanjing University of Science and Technology (NJUST). He received his Ph.D. degree in Pattern Recognition and Intelligent System from Institute of Automation, Chinese Academy of Sciences (CASIA) under the supervision of Prof. Cheng-Lin Liu, in 2016. From 2020 to 2022, he was a researcher at Mohamed bin Zayed University of Artificial Intelligence. From 2018 to 2020, he was a research scientist at Inception Institute of Artificial Intelligence. He was a visiting research student at National University of Singapore (NUS) from 2014 to 2015, supervised by Prof. Shuicheng Yan. He has authored/co-authored over 40 papers in top conferences/journals such as IEEE TPAMI, IJCV, CVPR, ICCV, and ECCV.

His current research interests mainly focus on computer vision, pattern recognition, and deep learning. Recently, he has been focusing on the challenging problem of understanding complex visual data, such as cross-category, zero-/few-shot, and low-annotated data, driven by knowledge-based approaches.

News

• 每年可招收硕士生3-4名、博士生1-2名。欢迎感兴趣的同学报考硕士、博士研究生，将在论文发表、就业和深造方面予以悉心指导！优秀者可推荐至其它意向单位进行交流访问。欢迎优秀本科生联系参与科研项目。

Publications

More than 70 highly-influenced papers have been published, including IEEE TPAMI (IF: 23.6), IJCV (IF: 19.5), Proceedings of the IEEE (20.6), IEEE TIP (IF: 10.6), IEEE TNNLS (IF: 10.4), IEEE TCYB (IF: 11.8), IEEE TMM (IF: 7.3), IEEE TCSVT (IF: 8.4), PR (IF: 8.0), NeurIPS (CCF A), CVPR (CCF A), ICCV (CCF A), ECCV (CCF B), AAAI (CCF A), IJCAI (CCF A), ACM MM (CCF A), etc.

Selected Papers:

• G.-S. Xie, X.-Y. Zhang, S. Yan, and C.-L. Liu. SDE: A novel selective, discriminative and equalizing feature representation for visual recognition, International Journal of Computer Vision (IJCV), vol. 124, no.2, pp. 145-168, 2017. (CCF A)
• G.-S. Xie, X.-Y. Zhang, Y. Yao, Z. Zhang, F. Zhao, and L. Shao. VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning, IEEE Transactions on Image Processing (TIP), vol. 30, pp. 4316-4329, 2021. (CCF A)
• G.-S. Xie, L. Liu, X. Jin, F. Zhu, Z. Zhang, J. Qin, Y. Yao, and L. Shao. Attentive region embedding network for zero-shot learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9384-9393, 2019. (CCF A)
• G.-S. Xie, H. Xiong, J. Liu, Y. Yao, and L. Shao. Few-Shot Semantic Segmentation with Cyclic Memory Network, IEEE International Conference on Computer Vision (ICCV), pp. 7293-7302, 2021. (CCF A)
• G.-S. Xie, L. Liu, F. Zhu, F. Zhao, Z. Zhang, Y. Yao, J. Qin, and L. Shao. Region graph embedding network for zero-shot learning. European Conference on Computer Vision (ECCV), pp. 562-580, 2020. (CCF B)
• G.-S. Xie, X.-Y. Zhang, X. Shu, S. Yan, C.-L. Liu. Task-driven Feature Pooling for Image Classification, IEEE International Conference on Computer Vision (ICCV), pp. 1179-1187, 2015. (CCF A)
• G.-S. Xie, T.-Z. Xiang, X.-Y. Zhang, Z. Zhang, F. Zhao, L. Shao, X. Li. Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Early Access, DOI: 10.1109/TNNLS.2022.3208525, 2023.
• G.-S. Xie, Z. Zhang, L. Liu, F. Zhu, X.-Y. Zhang, L. Shao, and X. Li. SRSC: Selective, robust, and supervised constrained feature representation for image classification, IEEE Trans. on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 10, pp. 4290-4302, 2020.
• G.-S. Xie, Z. Zhang, G. Liu, F. Zhu, L. Liu, L. Shao, and X. Li. Generalized zero-shot learning with multiple graph adaptive generative networks, IEEE Trans. on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 7, pp. 2903-2915, 2022.
• G.-S. Xie, X.-Y. Zhang, S. Yan, and C.-L. Liu. Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol.27, no.6, pp. 1263-1274, 2017.
• X. Shu, L. Zhang, J.Tang, G.-S. Xie, S. Yan. Computational face reader, International Conference on Multimedia Modeling (MMM), pp. 114-126, 2016. (Best Student Paper Award) (CCF C)
• S. Chen, Z. Hong, G.-S. Xie, Y. Song, J. Zhao, X. You, S. Yan, L. Shao, TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Early Access, DOI: 10.1109/TPAMI.2022.3229526, pp. 1-17, 2022. (CCF A)
• For more papers, please kindly refer to my Google Scholar page.

Group

• Positions for Interns/Master/Ph.D's Programme
  • We are looking for students, who are self-motivated and have a solid foundation in mathematics and programming. Please feel free to drop me an email (guosen.xie@njust.edu.cn) if you are interested.

Service

• AE:
  • Artificial Intelligence and Applications (AIA) Journal
• (Senior) PC Member:
  • CVPR 2019-2023, ICCV 2019-2023, ECCV 2020-2022, WACV 2021-2022
  • NeurIPS 2022-2023, ICML 2023, AAAI 2020-2022, IJCAI 2020-2023
  • ICLR 2022-2024
• Reviewer:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Cybernetics (TCYB)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • Pattern Recognition Journal (PR)
  • Neural Networks (NN)