邓岳，男，北京航空航天大学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，入选国家特聘青年专家，主要从事人工智能与交叉领域的研究。

近年来，以第一/通讯作者身份在Nature Methods，Cell姊妹期刊Patterns及IEEE Transactions等刊物发表论文40余篇，并在Springer出版人工智能英文专著一部，申请美国发明专利4项。曾获得IEEE Transactions on Fuzzy Systems 2020年度最佳论文奖（第一作者），世界人工智能大会2020优秀青年论文奖，Microsoft Research Fellow，中国自动化学会优秀博士论文奖、中国人工智能学会优秀博士论文奖，研究成果获得5项国际学术论文奖。

2020年9月9日，荣获2020年阿里巴巴达摩院青橙奖。

[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] Feng Bao, Yue Deng(共同一作) et al.:Explaining the genetic causality for complex phenotypes via deep association kernel learning, Patterns, 1 AUG 2020. (Cell 姊妹期刊).

[3] 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)

[4] Yue Deng, Qionghai Dai, Risheng Liu, Zengke Zhang, Sanqing Hu Low-Rank Structure Learning via Nonconvex Heuristic Recovery. IEEE Trans. on Neural 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)

[5] 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).

[6] 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).

[7] 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 bioinformatics 19(4) 545-553 (2017).

[8] Yue Deng, Youyong Kong, Feng Bao, and Qionghai Dai: Sparse coding-inspired optimal trading system for HFT industry. IEEE Trans. on Industrial Informatics 11(2), 467-475 (2015).

[9] 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)

[10] Yue Deng, Yipeng Li, Yanjun Qian, Xiangyang Ji, Qionghai Dai: Visual Words Assignment via Information-Theoretic Manifold Embedding. IEEE Trans. on Cybernetics 44(10): 1924-1937 (2014)

[11] Yue Deng, Yanyu Zhao, Zhiquan Ren, Youyong Kong, Feng Bao and Qionghai Dai. Discriminant Kernel Assignment for Image Coding. IEEETrans. on Cybernetics. 47(6), 1434-1445 (2017)

[12] 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)

[13] Yue Deng, Qionghai Dai, Zengke Zhang: Graph Laplace for Occluded Face Completion and Recognition. IEEE Trans. on Image Processing 20(8): 2329-2338 (2011)

[14] Yue Deng, Steven Altschuler, Lani Wu: PHOCOS: Inferring Multi-Feature Phenotypic Crosstalk Networks. Bioinformatics. 2016 Jun 15; 32(12):i44-i51.

[15] Yue Deng, Yilin Shen, Hongxia Jin: Adversarial Active Learning for Sequence Labeling and Generation. International Joint Conferences on Artificial Intelligence, 2018

[16] Yue Deng, Yilin Shen, Hongxia Jin: Disguise Neural Networks for Click-through Rate Prediction. International Joint Conferences on Artificial Intelligence 2017

[17] Yue Deng, Yilin Shen, Hongxia Jin: Learning Assistance from An Adversarial Critic for Multi-output Prediction, International Joint Conferences on Artificial Intelligence 2019

[18] Tian Tan, Feng Bao, Yue Deng, Alex Jin, and Qionghai Dai: Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control. IEEE Trans. on Cybernetics (2019).

[19] Feng Bao, Yue Deng, Zhiquan Ren, Youyong Kong, Qionghai Dai: Learning Deep Landmarks for Imbalanced Data Classification. IEEE Trans. on Neural Networks and Learning Systems (2019)