Faculty
current position: Faculty >> Professor >> Content
Xuelong Li, Professor

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

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

 

Work Experience

Xuelong 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 Lecturer/Senior Lecturer/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)

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

  • Vice Chair (first in China) of IAPR Fellow Committee (2022-2024)

  • Founding Editor-in-Chief of Vicinagearth (Springer Nature)

  • 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

  • Member (past) of IEEE CS Conference Activities Committee (CAC)

 

Recent Papers  (since 2022)

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

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

  • B. Wang, Y. Zhao, L. Yang, T. Long, and X. Li, "Temporal Action Localization in the Deep Learning Era: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI).

  • Z. Wang, F. Nie, 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), DOI: 10.1109/TPAMI.2023.3323453.

  • 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), vol. 45, no. 7, pp. 8729-8742, 2023.

  • 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.