Faculty

Faculty
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Xuelong Li, Professor, Dean, Chief Scientist

Personal Profile

     

Professor Xuelong Li, National Distinguished Chair, Dean of iOPEN, Chief Scientist of iOPEN, Vice Director of University Academic Committee, Northwestern Polytechnical University


       

Publications: [Google Scholar] | [DBLP]

Research interests：image/signal processing, imaging, applied maths/physics.
 

Postal Address:
127 West Youyi Road, 64#,
Xi'an Shaanxi 710072,
P. R. China


       

E-mail:  li AT nwpu.edu.cn

 

Education Background

X. Li received his B.Eng. and Ph.D. degrees from The University of Science and Technology of China (USTC).

 

Work Experience

X. Li is a full professor at The Northwestern Polytechnical University since 2018. Before that, he was a full professor at The Chinese Academy of Sciences (2009-2018), a Reader at The University of London (2004-2009), a Lecturer at The University of Ulster (2003-2004), and he previously took positions at The Chinese University of Hong Kong, The Hong Kong University, The Microsoft Research, and The Huawei Technologies Co., Ltd.

 

Memberships (year elected)

  • 2009, Fellow of The Institution of Engineering and Technology (IEE/IET)

  • 2009, Fellow of The British Computer Society (BCS)

  • 2010, Fellow of The International Association for Pattern Recognition (IAPR)

  • 2010, Fellow of The International Society for Optics and Photonics (SPIE)

  • 2010, Inaugural Member (past) of The Global Young Academy (GYA)

  • 2011, Academician of The International Eurasian Academy of Sciences (IEAS)

  • 2011, Fellow of The Institute of Electrical and Electronic Engineers (IEEE)

  • 2012, Fellow of The Optical Society of America (OSA)

  • 2013, Fellow (Member) of The Higher Education Academy (HEA)

  • 2016, Fellow (FInstP) of The Institute of Physics (IOP)

  • 2016, Fellow of The American Association for the Advancement of Science (AAAS)

  • 2017, Elected Member of The Academia Europaea/The Academy of Europe (AE)

  • 2017, Elected Member of The European Academy of Sciences and Arts (EASA)

  • 2018, Fellow of The Chinese Institute of Electronics (CIE)

  • 2020, Fellow of The American Institute for Medical and Biological Engineering (AIMBE)

  • 2020, Academician of The International Academy of Astronautics (IAA)

  • 2020, Fellow of The Association for Computing Machinery (ACM)

  • 2021, Fellow of The Asia-Pacific Artificial Intelligence Association (AAIA)

  • 2021, Fellow of The International Academy of Medical and Biological Engineering (IAMBE)

  • 2022, Academician of The International Academy for Systems & CYbernetic Sciences (IASCYS)

  • 2023, Fellow of The Association for the Advancement of Artificial Intelligence (AAAI)

 

Academic Service

  • Executive Councilor (first in China mainland) of The Association for the Advancement of Artificial Intelligence (AAAI)

  • Member of IEEE Conference Activities Committee (CAC)

  • Vice President of The Asia-Pacific Artificial Intelligence Association (AAIA)

  • Associate Editor-in-Chief of Pattern Recognition (Elsevier)

  • Associate Editor-in-Chief of IEEE Transactions on Big Data (T-BD)

  • Deputy Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing (T-GRS)

  • Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)

  • Associate Editor (past, first in China mainland) of IEEE Transactions on Image Processing (T-IP)

  • Founding Chair (past) of IEEE SMC Technical Committee on Cognitive Computing

 

Recent Papers  (since 2022)

  • X. Li, "Vicinagearth Security," Communications of the CCF, vol. 18, no. 11, pp. 44-52, 2022. [PDF][TOP]

  • X. Li, " Positive-incentive Noise," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2022.3224577. [PDF][TOP]

  • F. Nie, Z. Wang, C. Zhang, R. Wang, and X. Li, "Worst-case Discriminative Feature Learning via Max-Min Ratio Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI).

  • H. Zhang, J. Shi, R. Zhang, and X. Li, "Non-Graph Data Clustering via O(n) Bipartite Graph Convolution," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2022.3231470.

  • Z. Lu, F. Nie, R. Wang and X. Li, "A Differentiable Perspective for Multi-View Spectral Clustering with Flexible Extension," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 6, pp. 7087-7098, 2023.

  • J. Shi, W. Wang, X. Lou, S. Zhang, and X. Li, "Parameterized Hamiltonian Learning with Quantum Circuit," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 5, pp. 6086-6095, 2023.

  • R. Zhang, Y. Zhang, C. Lu, and X. Li, "Unsupervised Graph Embedding via Adaptive Graph Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 4, pp. 5329-5336, 2023.

  • Z. Li, F. Nie, J. Bian, D. Wu, and X. Li, "Sparse PCA via L2,p-Norm Regularization for Unsupervised Feature Selection," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 4, pp. 5322-5328, 2023.

  • R. Zhang, Z. Jiao, H. Zhang, and X. Li, "Manifold Neural Network with Non-Gradient Optimization," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 3, pp. 3986-3993, 2023.

  • X. Li, H. Zhang, and R. Zhang, "Matrix Completion via Non-Convex Relaxation and Adaptive Correlation Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 2, pp. 1981-1991, 2023.

  • Q. Wang, X. Lu, C. Zhang, Y. Yuan, and X. Li, "LMV-LP: Large-Scale Video-Based License Plate Detection and Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 1, pp. 752-767, 2023.

  • S. Pei, H. Chen, F. Nie, R. Wang, and X. Li, "Centerless Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 1, pp. 167-181, 2023.

  • J. Wang, H. Wang, F. Nie, and X. Li, "Ratio Sum vs. Sum Ratio for Linear Discriminant Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 12, pp. 10171-10185, 2022.

  • X. Li, H. Zhang, and R. Zhang, "Adaptive Graph Auto-Encoder for General Data Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 12, pp. 9725-9732, 2022.

  • Q. Wang, N. Guo, Z. Xiong, Z. Yin, and X. Li, "Gradient Matters: Designing Binarized Neural Networks via Enhanced Information-Flow," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 11, pp. 7551-7562, 2022.

  • F. Nie, J. Xue, D. Wu, R. Wang, H. Li, and X. Li, "Coordinate Descent Method for k-means," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 5, pp. 2371-2385, 2022.

  • B. Zhao, H. Li, X. Lu, and X. Li, "Reconstructive Sequence-Graph Network for Video Summarization," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 5, pp. 2793-2801, 2022.

  • F. Nie, D. Wu, R. Wang, and X. Li, "Truncated Robust Principle Component Analysis with A General Optimization Framework," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 2, pp. 1081-1097, 2022.

  • X. Li, H. Zhang, R. Wang, and F. Nie, "Multi-view Clustering: A Scalable and Parameter-free Bipartite Graph Fusion Method," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 1, pp. 330-344, 2022.

  • Q. Wang, X. He, X. Jiang, and X. Li, "Robust Bi-stochastic Graph Regularized Matrix Factorization for Data Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 44, no. 1, pp. 390-403, 2022.

 

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