Xin Ning (Senior Member, IEEE) received the B.S. degree in software engineering from Xinjiang University in 2012, and the Ph.D. degree in computer vision from university of Chinese Academy of Sciences, in 2017. He is currently a Professor with the Institute of Semiconductors, Chinese Academy of Sciences. His current research interests include neural networks, intelligent systems and computer vision. His Google Scholar total citation reached 8000+, with an H-index of 50. He has been featured in the list of top 2% scientist/researcher database in the world in 2022 -2025. He has published by first or corresponding author more than 100 papers in journals and refereed conferences. He served as senior member of IEEE/CCF/CAAI/CSIG. He is working as Associate Editor in SCI and various other reputed journals (IEEE, Elsevier, Springer). He serves as Aare Editor in the Information Fusion and Associate Editor in the IEEE TCSVT, Pattern Recognition, Engineering Applications of Artificial Intelligence, CAAI Transactions on Intelligent Systems and IP&M journal. He was the Program Chair and Publication Chair of the HDIS 2025, IEEE HPBD&IS 2020, and the Publication Chair of the IEEE HPBD&IS 2021, HDIS 2022 and HDIS 2023.

★ Biomimetic Image Cognitive Computing Theory

★ 2D/3D Visual Algorithm

★ AI for Science

★ Intelligent chip algorithm and hardware design

★ 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 (8000+, h-index: 50)

★ Scopus (h-index: 48)

★ Web of Science  (h-index: 48)

★ Information Fusion （Elsevier, IF=15.5） Area Editor

★ IEEE TCSVT （IEEE, IF=11.1） Associate Editor

★ Pattern Recognition （Elsevier, IF=7.6） Associate Editor

★ Information Processing & Management （Elsevier, IF=6.9） Associate Editor

★ Engineering Applications of Artificial Intelligence（Elsevier, IF=8） Associate Editor

★ Applied Soft Computing （Elsevier, IF=6.6） Associate Editor

★ Applied Intelligence （Springer, IF=3.5）Associate Editor

★ Signal Processing （Elsevier,IF=3.6） Associate Editor

1) X. Ning, Q Li, X Huang, et al,. Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.

2) J Li, S Tian, L Yu, X Ning. Flexible-weighted chamfer distance: Enhanced objective function for point cloud completion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.

3) J Li, J Zhang, X Yu, X Bai, J Zheng, X Ning, L Gu. DNGaussian++: Improving Sparse-View Gaussian Radiance Fields with Depth Normalization, IEEE Transactions on Pattern Analysis and Machine Intelligence,2026.

4) S Yan, J Chen, X Li, J Bai, et al,.Large scale and diverse two-dimensional flake segmentation dataset by general-purpose and labor-efficient annotation framework, npj 2D Materials and Applications 9 (1), 103

5) Yinyun Yan, Liping Zhang, Tingran Wang, et al,. Rethinking Serialization in Linear 3D Vision: Decoupling Anisotropic Geometry from Isotropic Semantics, ICML, 2026.

6) Q Li, F He, H Chen, X Ning, K Wang, Z Wang. Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains, NeuriPS 2025.

7) 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

8) 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)

9) 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)

10) 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.

11) 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.

12) 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)

13) 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)

14) 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.

15) 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.

16) 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.

17) 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.

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