个人简历
邓岳，男，宇航学院及北航大数据与脑机智能高精尖中心双聘教授、博士生导师，主要从事人工智能与交叉领域的研究。近年来，围绕航天智能、医疗智能及金融智能，以第一/通讯作者身份在Nature Methods及IEEE Transactions等刊物发表论文30余篇，其中影响因子高于10的期刊论文8篇，并在Springer出版人工智能英文专著一部。曾获得IEEE Transactions on Fuzzy Systems 2020年度最佳论文奖（第一作者），MicrosoftResearch Fellow，中国自动化学会、中国人工智能学会优秀博士论文奖，并担任多个顶级人工智能会议的程序委员，入选国家特聘青年专家。
2020全年仅有免试研究生招生名额，不限制本科专业。常年招聘博士后。
代表性论文
(仅列第一/通讯作者文章)
[1] Yue Deng,Feng Bao, Steven Altschuler, Lani Wu:Scalable Analysis of Cell-type Composition from Single-cell Transcriptomics using Deep Recurrent Learning,Nature Methods, 16(4).March 2019 (影响因子:28.467)
[2] Yue Deng, Zhiquan Ren, Youyong Kong, Feng Bao, Qionghai Dai.A Hierarchical Fused Fuzzy Deep Neural Network for Data Classification. IEEE Trans. on Fuzzy Systems. 25(4), 1006-1012 (2017)(IEEE Transactions on Fuzzy Systems 2020最佳论文奖)
[3] Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang, Sanqing HuLow-Rank Structure Learning via Nonconvex Heuristic Recovery.IEEETrans. onNeural Netw. Learning Systems 24(3): 383-396 (2013)(IEEE智能计算学会亮点论文，并被科技日报报道)
[4] Yue Deng, Feng Bao, Zhiquan Ren, Youyong Kong, Qionghai Dai.Deep Direct Reinforcement Learning for Financial Signal Representation and Trading.IEEE Trans. on Neural Networks and Learning Systems. 28(3):653-664 (2017).(两年来下载量12000次,IEEE TNNLS热点论文前五)
[5] Yue Deng,Feng Bao, Mulong Du, Meilin Wang, Qionghai Dai:Information transduction capacity reduces the uncertainties in annotation-free isoform discovery and quantification.Nucleic acids research,45(15), e143-e143(2017).
[6] Yue Deng, Feng Bao, Mulong Du, Zhiquan Ren, Qingzhao Zhang, Yanyu Zhao, Jinli Suo, Zhengdong Zhang, Meilin Wang, and Qionghai Dai.Probabilistic natural mapping of gene-level tests for genome-wide association studies.Briefings in bioinformatics19(4) 545-553 (2017).
[7] Yue Deng, Youyong Kong, Feng Bao, and Qionghai Dai:Sparse coding-inspired optimal trading system for HFT industry.IEEETrans. onIndustrial Informatics11(2), 467-475 (2015).
[8] Yue Deng, Feng Bao, Xuesong Deng, Ruiping Wang, Youyong Kong and Qionghai Dai:?Deep and Structured Robust Information Theoretic Learning for Image Analysis.IEEE Transactions on Image Processing 25(9): 4209-4221 (2016)
[9] Yue Deng, Yipeng Li, Yanjun Qian, Xiangyang Ji, Qionghai Dai:Visual Words Assignment via Information-Theoretic Manifold Embedding.IEEETrans. onCybernetics 44(10): 1924-1937 (2014)
[10]Yue Deng, Yanyu Zhao, Zhiquan Ren, Youyong Kong, Feng Bao and Qionghai Dai.Discriminant Kernel Assignment for Image Coding. IEEETrans. onCybernetics. 47(6), 1434-1445 (2017)
[11]Yue Deng, Yebin Liu,Qionghai Dai, Zengke Zhang, Yao Wang:Noisy Depth Maps Fusion for Multiview Stereo via Matrix Completion.IEEE Journal of Selected Topics in Signal Processing 6(5): 566-582 (2012)
[12]Yue Deng, Qionghai Dai, Zengke Zhang:Graph Laplace for Occluded Face Completion and Recognition.IEEETrans. on Image Processing 20(8): 2329-2338 (2011)
[13]Yue Deng, Steven Altschuler, Lani Wu: PHOCOS: Inferring Multi-Feature Phenotypic Crosstalk Networks. Bioinformatics. 2016 Jun 15; 32(12):i44-i51.
[14]Yue Deng, Yilin Shen, Hongxia Jin:Adversarial Active Learning for Sequence Labeling and Generation.International Joint Conferences on Artificial Intelligence, 2018
[15]Yue Deng, Yilin Shen, Hongxia Jin:Disguise Neural Networks for Click-through Rate Prediction.International Joint Conferences on Artificial Intelligence 2017
[16]Yue Deng, Yilin Shen, Hongxia Jin:Learning Assistance from An Adversarial Critic for Multi-output Prediction,International Joint Conferences on Artificial Intelligence 2019
[17]Tian Tan, Feng Bao,Yue Deng, Alex Jin, and Qionghai Dai:Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.IEEETrans. onCybernetics (2019).
[18] Feng Bao,Yue Deng, Zhiquan Ren, Youyong Kong, Qionghai Dai:Learning Deep Landmarks for Imbalanced Data Classification.IEEETrans. onNeural Networks and Learning Systems (2019)
研究领域
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论文
当前位置: 中文主页 >> 论文[1] Learning Assistance from An Adversarial Critic for Multi-output Prediction.International Joint Conferences on Artificial Intelligence 2019.2019
[2] Disguise Neural Networks for Click-through Rate Prediction.International Joint Conferences on Artificial Intelligence 2017.2019
[3] Adversarial Active Learning for Sequence Labeling and Generation.International Joint Conferences on Artificial Intelligence, 2018.2019
[4] Graph Laplace for Occluded Face Completion and Recognition.IEEE Trans. Image Processing.2019
[5] Noisy Depth Maps Fusion for Multiview Stereo via Matrix Completion.IEEE Journal of Selected Topics in Signal Processing.2019
[6] Discriminant Kernel Assignment for Image Coding.IEEE Trans. Neural Netw. Learning Systems.2019
[7] Low-Rank Structure Learning via Nonconvex Heuristic Recovery.IEEE Trans. Neural Netw. Learning Systems.2019
[8] Visual Words Assignment via Information-Theoretic Manifold Embedding.IEEE Trans. Cybernetics.2019
[9] Deep and Structured Robust Information Theoretic Learning for Image Analysis.IEEE Trans. Image Processing.2019
[10] Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.IEEE Transactions on Cybernetics.2019
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荣誉及奖励
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