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Jingwei Xin

Jingwei Xin
Assistant Professor

jwxin xidian.edu.cn

About Me

Jingwei Xin

Jingwei Xin received the B.Sc. degree in electronic information science and technology from Shaanxi Normal University, Xi’an, China, in 2016, and the Ph.D. degree in information and telecommunications engineering from Xidian University, Xi’an, in 2021. He is currently a Lecturer with the State Key Laboratory of Integrated Services Networks, Xidian University.

He has broad research interests in machine learning, pattern recognition, and computer vision. His research has been published in the academic venues and prestigious journals, such as European Conference on Computer Vision (ECCV), the Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence, and the IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

10

Journal/Conference

Publications
Research

Projects

Credible Artificial Intelligence

  • Explainable Artificial Intelligence (XAI)
  • Learning from noisy lables
  • Learning from noisy lables
  • Cross-modal Learning

Artificial Intelligence Generated Content (AIGC)

  • Multi-modal driven video generation
  • Generated Visual Quality Assessment (GIQA)
  • Neural Style Transfer (NST)
  • Generative Adversarial Networks (GAN), Diffusion Model, Cross-modal Learning

Selected Publications

[DBLP] [Google Scholar]

  • Zhaori Gong, Nannan Wang, De Cheng, Xinrui Jiang, Jingwei Xin, Xi Yang, Xinbo Gao: Learning Deep Resonant Prior for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
  • Zhiling Guo, Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao: External-Internal Attention for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
  • Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao: Wavelet-Based Dual Recursive Network for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 33(2): 707-720 (2022)
  • Xinrui Jiang, Nannan Wang, Jingwei Xin, Xiaobo Xia, Xi Yang, Xinbo Gao: Learning lightweight super-resolution networks with weight pruning. Neural Networks 144: 21-32 (2021)
  • Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao: Training Binary Neural Network without Batch Normalization for Image Super-Resolution. AAAI 2021: 1700-1707
  • Xinrui Jiang, Nannan Wang, Jingwei Xin, Xi Yang, Yi Yu, Xinbo Gao: Image super-resolution via multi-view information fusion networks. Neurocomputing 402: 29-37 (2020)
  • Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li: Video Face Super-Resolution with Motion-Adaptive Feedback Cell. AAAI 2020: 12468-12475
  • Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li: Facial Attribute Capsules for Noise Face Super Resolution. AAAI 2020: 12476-12483
  • Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao: Binarized Neural Network for Single Image Super Resolution. ECCV (4) 2020: 91-107
  • Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li: Residual Attribute Attention Network for Face Image Super-Resolution. AAAI 2019: 9054-9061