师资队伍

教授
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李学龙 教授

个人信息

                                                                        

李学龙，教授

人才称号：国家级人才 (2009回国)、国家杰青 (2012)、领军 (2015)

学术论文：[谷歌学术] | [文章列表] | [English]

研究方向：临地安防、图像、成像、噪声

联系地址：陕西省西安市友谊西路127号64号信箱

邮政编码：710072

电子信箱：li AT nwpu.edu.cn

个人经历

  • 1994—2002，中国科学技术大学，学士 (五年制) / 博士 (中科院院长奖)

  • 2003—2004，英国Ulster大学，讲师 (相当于美制助理教授)

  • 2004—2009，英国伦敦大学，讲师/高级讲师/Reader (2006年取得终身教职)

  • 2009—2018，中国科学院西安光学精密机械研究所，研究员 (2015年副所长，2018年省重点实验室主任)

  • 2018—2023，西北工业大学，教授/校学术委员会副主任 (2021年工信部重点实验室主任，2024年西北工业大学与中国电信共建)

  • 2023 至今，    中国电信，首席技术官 (CTO)、首席科学家(2024年 中国电信人工智能研究院 (TeleAI) 院长)

集体奖项

  • 2012年，中国科学院创新交叉团队负责人

  • 2012年，陕西省重点科技创新团队负责人

  • 2016年，国家自然科学奖二等奖 (排2)

  • 2017年，陕西省科学院科学技术奖一等奖 (排1)

  • 2018年，中国电子学会科学技术奖自然科学奖一等奖 (排1)

  • 2018年，中国计算机学会科学技术奖自然科学奖一等奖 (排1)

  • 2018年，中国中文信息学会钱伟长中文信息处理科学技术奖一等奖 (排1)

  • 2018年，中国图象图形学学会科学技术奖二等奖 (排1) (首届，一等奖一项)

  • 2018年，陕西省教学成果特等奖 (排2)

  • 2019年，陕西省科学技术奖自然科学奖一等奖 (排1)

  • 2019年，中国光学工程学会科技进步奖一等奖 (排1)

  • 2019年，教育部科学技术奖自然科学奖二等奖 (排3)

  • 2020年，天津市科学技术进步奖一等奖 (排3)

  • 2020年，陕西省创战略性顶尖团队负责人 (约3-5项/年)

  • 2021年，陕西省学位与研究生教育学会研究生教育成果奖特等奖 (排1)

  • 2021年，陕西省科学技术奖自然科学奖一等奖 (排2)

  • 2022年，中国航空学会科学技术进步奖一等奖 (排1)

  • 2022年，陕西省高等教育教学成果奖一等奖 (排4)

  • 2022年，中国光学工程学会科技创新奖科技进步二等奖 (排2)

  • 2023年，教育部科学技术奖自然科学奖一等奖 (排1)

  • 2023年，中国电子学会技术发明奖一等奖 (排1)

  • 2023年，中国人工智能学会吴文俊人工智能科学技术奖自然科学奖一等奖 (排3)

  • 2023年，中国自动化学会科技进步奖一等奖 (排2)

  • 2023年，国家教学成果二等奖 (排1)

  • 2023年，陕西省科学技术奖自然科学奖一等奖 (排3)

  • 2023年，国家技术发明奖二等奖 (排1)

个人奖项

  • IEEE/ACM/Elsevier 期刊和会议的论文奖，如 IEEE ICDM Best Theory/Algorithm Paper Runner Up Award, IEEE ICDM 10-Year Highest-Impact Paper Award, IEEE Multimedia Best Paper Award, IEEE TCSVT Best Paper Award；以及学术服务奖，如IEEE TCSVT Best Associate Editor Award。

  • 2010年，国家级人才 (2009年回国)

  • 2011年，国家特聘专家

  • 2012年，中国青年五四奖章

  • 2012年，国家杰出青年科学基金获得者

  • 2013年，中国青年科技奖

  • 2013年，中国科学院青年科学家奖 (信息领域每年不超过1人)

  • 2014年，陈嘉庚青年科学奖 (信息领域每两年1人)

  • 2015年，何梁何利基金科学与技术创新奖

  • 2015年，科技部创新人才推进计划科技创新领军人才

  • 2015年，国家百千万人才工程国家级人选

  • 2015年，国家有突出贡献中青年专家

  • 2016年，国务院政府特殊津贴

  • 2016年，全国五一劳动奖章

  • 2016年，中国科学院朱李月华优秀教师奖

  • 2017年，全国创新争先奖状 (首批)

  • 2019年，庆祝中华人民共和国成立70周年纪念章

  • 2019年，陕西省TeZhi杰出人才项目 (约3-5项/年)

  • 2020年，腾讯科学探索奖 (信息电子领域)

  • 2021年，CCF-ACM人工智能奖 (每年1人)

  • 2022年，王大珩光学奖 (西部高校首奖)

学会会员 (入选通知年份)

  • 2009年，Fellow of The Institution of Engineering and Technology (IEE/IET)，英国电气工程师学会

  • 2009年，Fellow of The British Computer Society (BCS)，英国计算机协会

  • 2010年，Fellow of The International Association for Pattern Recognition (IAPR)，国际模式识别协会

  • 2010年，Fellow of The International Society for Optics and Photonics (SPIE)，国际光学工程学会

  • 2010年，Inaugural Member (past) of The Global Young Academy (GYA)，全球青年学院

  • 2011年，Academician of The International Eurasian Academy of Sciences (IEAS)，国际欧亚科学院

  • 2011年，Fellow of The Institute of Electrical and Electronic Engineers (IEEE)，电子电气工程师学会

  • 2012年，Fellow of The Optical Society of America (OSA)，美国光学学会

  • 2013年，Fellow (Member) of The Higher Education Academy (HEA)，英国高等教育学院

  • 2016年，Fellow (FInstP) of The Institute of Physics (IOP)，英国物理学会

  • 2016年，Fellow of The American Association for the Advancement of Science (AAAS)，美国科学促进会

  • 2017年，Elected Member of The Academia Europaea/The Academy of Europe (AE)，欧洲科学院

  • 2017年，Elected Member of The European Academy of Sciences and Arts (EASA)，欧洲科学与艺术学院

  • 2018年，Fellow of The Chinese Institute of Electronics (CIE)，中国电子学会

  • 2020年，Fellow of The American Institute for Medical and Biological Engineering (AIMBE)，美国医学与生物工程院

  • 2020年，Academician of The International Academy of Astronautics (IAA)，国际宇航科学院

  • 2020年，Fellow of The Association for Computing Machinery (ACM)，美国计算机协会

  • 2021年，Fellow of The Asia-Pacific Artificial Intelligence Association (AAIA)，亚太人工智能学会

  • 2021年，Fellow of The International Academy of Medical and Biological Engineering (IAMBE)，国际医学与生物工程科学院

  • 2022年，Academician of The International Academy for Systems & CYbernetic Sciences (IASCYS)，国际系统与控制论科学研究院

  • 2023年，Fellow of The Association for the Advancement of Artificial Intelligence (AAAI)，国际人工智能学会

学术服务

  • 陕西省临地安防学会理事长

  • 中国光学工程学会海洋光学专业委员会共同创始主任

  • Executive Councilor (大陆首位) of The Association for the Advancement of Artificial Intelligence (AAAI)

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

  • Vice Chair (华人首位) 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，大陆首位) 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.

社会服务

  • 领域专家组成员、专家咨询委员会成员、带教导师、教育部科技委学部委员

  • 全国青联科技界别主委、中青科协副会长、省科协副主席、省/市人大代表

中文书籍

  • 李学龙. 涉水光学. 科学出版社. 2024

  • 李学龙 等. 低空无人机集群反制技术. 人民邮电出版社. 2024

近期论文 (2022以来)

[谷歌学术] | [文章列表]

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

  • X. Li, "Positive-incentive Noise (π-noise正激励噪声) ," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS),  vol. 35, no. 6, pp. 8708-8714, 2024.

  • Z. Yu, G. Li, K. Yang, P. Chen, and X. Li, "Semi-Supervised Classifier Ensemble with Optimized Graph Construction for High-Dimensional Data," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.

  • W. Chang, H. Chen, F. Nie, R. Wang, and X. Li, "Tensorized and Compressed Multi-view Subspace Clustering via Structured Constraint," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2024.3446537.

  • F. Nie, C. Liu, R. Wang, and X. Li, "A Novel and Effective Method to Directly Solve Spectral Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2024.3447287.

  • R. Zhao, J. Shi, and X. Li, "QKSAN: A Quantum Kernel Self-Attention Network," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2024.3434974.

  • 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), vol. 46, no. 1, pp. 641-658, 2024.

  • F. Nie, J. Lu, D. Wu, R. Wang, and X. Li, "A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 46, no. 1, pp. 659-666, 2024.

  • F. Nie, J. Xue, W. Yu, and X. Li, "Fast Clustering With Anchor Guidance," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 46, no. 4, pp. 1898-1912, 2024.

  • B. Zhao, P. Han, and X. Li, "Vehicle Perception From Satellite," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 46, no. 4, pp. 2545-2554, 2024.

  • 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), vol. 46, no. 11, pp. 7451 - 7462, 2024.

  • F. Nie, F. Xie, W. Yu, and X. Li, "Parameter-insensitive Min Cut Clustering with Flexible Size Constrains," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 46, no. 8, pp. 5479 - 5492, 2024.

  • 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), vol. 46, no. 4, 2024.

  • Q. Wang, X. Lu, C. Zhang, Y. Yuan, and X. Li, "LSV-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.

  • J. Zhu, L. Gao, J. Song, Y.-F. Li, F. Zheng, X. Li, and H. Shen, "Label-Guided Generative Adversarial Network for Realistic Image Synthesis," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 3, pp. 3311-3328, 2023.

  • F. Nie, L. Tian, R. Wang, and X. Li, "Learning Feature-Sparse Principal Subspace," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 4, pp. 4858-4869, 2023.

  • H. Zhang, F. Nie, and X. Li, "Large-Scale Clustering With Structured Optimal Bipartite Graph," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 8, pp. 9950-9963, 2023.

  • 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.

  • R. Wang, H. Chen, Y. Lu, Q. Zhang, F. Nie, and X. Li, "Discrete and Balanced Spectral Clustering With Scalability," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 45, no. 12, pp. 14321-14336, 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.

English