Xin Ning received the B.S. degree in software engineering in 2012 from Xinjiang University, and the Ph.D. degree in electronic circuit and system from University of Chinese Academy of Sciences, in 2017. He is currently a Professor with the AnnLab, Institute of Semiconductors, Chinese Academy of Sciences. His current research interests include neural networks, intelligent systems and computer vision. He is a senior member of IEEE, CAAI, and CCF. He has published by first or corresponding author more than 80 papers in journals and refereed conferences. He served as senior member of IEEE/CCF/CAAI/CSIG. He serves as Area Editor in the Information Fusion and Associate Editor in the IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition and Signal Processing journal. And he also serves as the Young Associate Editor of CAAI Transactions on Intelligent Systems, the Guest Editor of Information Fusion, IEEE TCE, Image and Vision Computing,  et al.  He also serves the Program Chair and Publication Chair of the HDIS 2025, IEEE HPBD&IS 2021, Edutainment & Metaverse 2022, HDIS 2023.

★ Biomimetic Image Cognitive Computing Theory

★ 2D/3D Visual Algorithm

★ AI for Science

★ Efficient neural network computation

★ 2014. 9 - 2017. 7, CAS, Circuit and System, Doctor

★ 2012. 9 - 2014. 7, CAS, Circuit and System, Master

★ 2008. 9 - 2012. 7, Xinjiang University, Software Engineering, Bachelor

★ Google Scholar (6700+, h-index: 50)

★ Scopus (h-index: 43)

★ Web of Science  (h-index: 40)

★ Information Fusion, Elsevier,  Area Editor
★ IEEE Transactions on Circuits and Systems for Video Technology，IEEE,  Associate Editor
★ Pattern Recognition, Elsevier,  Associate Editor
★ Engineering Applications of Artificial Intelligence, Elsevier,  Associate Editor
★ Applied Soft Computing, Elsevier,  Associate Editor
★ Signal Processing, Elsevier, Associate Edito

1)     X. Ning, W. Tian, F. He, et al. Hyper-sausage coverage function neuron model and learning algorithm for image classi cation, Pattern Recognition, 2023.(ESI Highly Cited Paper)

 2)      X Ning, W Tian, Z Yu, et al. HCFNN: High-order Coverage Function Neural Network for Image Classification, Pattern Recognition, 2022. (ESI Highly Cited Paper)

3)     X Ning, S Xu, F Nan, Q Zeng, C Wang, W Cai, Y Jiang. Face editing based on facial recognition features, IEEE Transactions on Cognitive and Developmental Systems, 2022.

4)      X Ning, L Jiang, W Li, Z Yu, J Xie, L Li, P Tiwari, F Alonso-Fernandez. Swin-MGNet: Swin transformer based multi-view grouping network for 3D object recognition，IEEE Transactions on Artificial Intelligence，2024.

5)     X Ning, W Li, B Tang, H He，"BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition ", IEEE Transactions on Image Processing, 2018, 27(5), 2575-2586. 

6)      Q Chen, F He, G Wang, X Bai, L Cheng and X Ning*. Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition, IEEE Transactions on Fuzzy Systems, 2024.  (ESI Highly Cited Paper)

7)      C Wang, X Ning*, L Sun, L Zhang, W Li, X Bai. Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. IEEE Transactions on Geoscience and Remote Sensing, 2022. (ESI Highly Cited Paper)

8)      X Gu, W Cai, M Gao, Y Jiang, X Ning*, P Qian. Multi-source domain transfer discriminative dictionary learning modeling for electroencephalogram-based emotion recognition. IEEE Transactions on Computational Social Systems, 2022.

9)      W Cai, M Gao, Y Jiang, X Gu, X Ning*, P Qian, T Ni. Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems. IEEE Transactions on Computational Social Systems, 2022.

10)      H Ran, X Gao, L Li, W Li, S Tian, G Wang, H Shi, X Ning*. Brain-Inspired Fast-and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning. IEEE Transactions on Neural Networks and Learning Systems, 2024. 

11)    S Li, J Hu, B Zhang, X Ning*, L Wu. Dynamic Personalized Federated Learning for Cross-Spectral Palmprint Recognition, IEEE Transactions on Image Processing, 2025.

12)    L Zhang, L Sun, W Li*, J Zhang, W Cai, C Cheng, X Ning*. A joint bayesian framework based on partial least squares discriminant analysis for finger vein recognition. IEEE Sensors Journal 2021, 22 (1), 785-794. (ESI Highly Cited Paper)

13)    H You, L Yu, S Tian, X Ma, Y Xing, X Ning*, W Cai. MC-Net: Multiple max-pooling integration module and cross multi-scale deconvolution network. Knowledge-Based Systems, 2021.

14)    Z. Yu，X Ning*, et al,. Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning, IEEE Transactions on Circuits and Systems for Video Technology, 2024. 

15)    H Zhang, C Wang, L Yu, S Tian, X Ning*. PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation, IEEE Transactions on Multimedia, 2024. 

16)    X Ning, K Gong, W Li, L Zhang, X Bai, S Tian. Feature Refinement and Filter Network for Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 31(9): 3391-3402. （ESI Hot Paper, ESI Highly Cited Paper）

17)    L Zhang, L Sun, L Yu, X Dong, J Chen, W Cai, C Wang, X Ning*. ARFace: attention-aware and regularization for face recognition with reinforcement learning. IEEE Transactions on Biometrics, Behavior, and Identity Science , 2021.

18)    C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou. Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss. IEEE Transactions on Multimedia, 2021.（ESI Highly Cited Paper）

19)    G Wang, W Li, L Zhang, L Sun, P Chen, L Yu, X Ning. Encoder-X: solving unknown coefficients automatically in polynomial fitting by using an autoencoder. IEEE Transactions on Neural Networks and Learning Systems, 2021.

20)    C Wang, S He, X Fang, J Han, Z Liu, X Ning, W Li, P Tiwari. Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding, Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2024