Faculty

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

Personal Profile

     

Professor Xuelong Li, CTO of China Telecom, National Distinguished Chair, Chief Scientist of iOPEN, Vice Director of University Academic Committee


       

Publications: [Google Scholar] | [DBLP]

Research interests：imaging, image processing, noise.
 

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 the Chief Technology Officer (CTO) of China Telecom since 2023, and the director of the Institute of Artificial Intelligence (TeleAI) of China Telecom (2024). Before that, he was a full professor at The Northwestern Polytechnical University (2018-2023), 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 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)

  • Selection Committees for MIT TR35 China, Heidelberg Laureate Forum Young Researcher, fellow committees, international research proposal review committees, etc.

 

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.

  • H. Zhang, Y. Zhu, and X. Li, "Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2024.3392782.

  • 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.

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