AnnLab, Institute of Semiconductors, Chinese Academy of Sciences
World's Top 2 % Scientist List
Executive Director of the Joint Laboratory for Cognitive Computing Technologies
Executive Director of the Joint Laboratory for Intelligent Travel AI Vision
Opening Positions: Student, Intern and PostDoc
Email: ningxin[at]semi[dot]ac[dot]cn
Biography
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 60 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 Publication Chair of the IEEE HPBD&IS 2021, Edutainment & Metaverse 2022, HDIS 2023.
Research Areas
★ Biomimetic Image Cognitive Computing Theory
★ 2D/3D Visual Algorithms
★ AI for Semiconductor
★ Intelligent Algorithm for Intelligent Cockpit Scene
Education
★ 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
Useful Links
Publications
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, D Gou, X Dong, W Tian, L Yu, C Wang. Conditional generative adversarial networks based on the principle of homologycontinuity for face aging Concurrency and Computation: practice and experience, 2022.
5) C Wang, X Wang, J Zhang, L Zhang, X Bai, X Ning*, J Zhou, E Hancock. Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognition, 2022. (ESI Highly Cited Paper)
6) 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)
7) 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.
8) 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.
9) J Chen, Y Zhang, L Wu, T You, X Ning. An adaptive clustering-based algorithm for automatic path planning of heterogeneous UAVs. IEEE Transactions on Intelligent Transportation Systems, 2021.
10) W Cai, B Zhai, Y Liu, R Liu, X Ning*. Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation. Displays, 2021.
11) 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)
12) 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.
13) L Zhang, L Sun, X Dong, L Yu, W Li, X Ning*. An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition. Chinese Conference on Biometric Recognition, 2021.
14) W Cai, D Liu, X Ning*, C Wang, G Xie. Voxel-based three-view hybrid parallel network for 3D object classification. Displays, 2021. (ESI Hot Paper)
15) S Qi, X Ning*, G Yang, L Zhang, P Long, W Cai, W Li. Review of Multi-view 3D Object Recognition Methods Based on Deep Learning, Displays, 2021, 69(1):102053. (ESI Highly Cited Paper)
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) R Liu, W Cai, G Li, X Ning, Y Jiang. Hybrid dilated convolution guided feature filtering and enhancement strategy for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 2021.
19) R Liu, X Ning, W Cai, G Li. Multiscale dense cross-attention mechanism with covariance pooling for hyperspectral image scene classification. Mobile Information Systems, 2021. (ESI Highly Cited Paper)
20) X Zhang, Y Yang, Z Li, X Ning, Y Qin, W Cai. An improved encoder-decoder network based on strip pool method applied to segmentation of farmland vacancy field. Entropy, 2021. (ESI Highly Cited Paper)
21) 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.
22) 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.
23) L Zhang, W Li, X Ning*, L Sun, X Dong. A local descriptor with physiological characteristic for finger vein recognition. 2020 25th International Conference on Pattern Recognition (ICPR), 2021.
24) X Ning, W Li, X Dong, S Xu, F Nan, Y Yao. Continuous learning of face attribute synthesis. 2020 25th International Conference on Pattern Recognition (ICPR), 2021.
25) X Ning, X Wang, S Xu, W Cai, L Zhang, L Yu, W Li. A review of research on co‐training. Concurrency and Computation: Practice and Experience, 2021. (ESI Hot Paper, ESI Highly Cited Paper)
26) X Ning, K Gong, W Li, L Zhang. JWSAA: Joint Weak Saliency and Attention Aware for person re-identification, Neurocomputing, 2021, volume 453, pp. 801-811. (ESI Hot Paper, ESI Highly Cited Paper)
27) X Ning, F Nan, S Xu, L Yu, L Zhang. Multi-view Frontal Face Image Generation: A Survey, Concurrency and Computation : practice and experience, 2020.
28) X Ning, P Duan, W Li, S Zhang. Real-time 3D Face Alignment Using an Encoder-Decoder Network with an Efficient Deconvolution Layer, IEEE Signal Processing Letters, 27, 1944-1948, 2020. (ESI Hot Paper, ESI Highly Cited Paper)
29) X Ning, W Li, J Xu. The principle of homology continuity and geometrical covering learning for pattern recognition. International Journal of Pattern Recognition and Artificial Intelligence, 2018.
30) 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.