个人简介
邓岳，北航宇航学院及人工智能研究院双聘教授、博士生导师，入选国家级青年人才，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 Biotechnology, Nature Methods, Patterns(Cell子刊)及IEEE Transactions等刊物发表论文50余篇，在Springer出版英文专著一部。曾获得阿里达摩院青橙奖，微软学者，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IEEE Transactions on Fuzzy Systems 2020年度最佳论文奖，世界人工智能大会2020优秀青年论文奖，细胞出版社2021中国区最受欢迎论文奖等国际学术论文奖。担任IEEE Transactions on Neural Networks and Learning Systems以及IEEE Signal Processing Letters的Associate Editor,主持国家自然基金重点项目、科技部2030人工智能专项课题及国防科工局科研项目。
近期论文
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Feng Bao*, Yue Deng* et al.: Integrative spatial analysis of cell morphologies and transcriptional states with MUSE, Nature Biotechnology, 2022
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
Feng Bao*, Yue Deng*# et al.:Explaining the genetic causality for complex phenotypes via deep association kernel learning, Patterns, 1 AUG 2020. (Cell出版社中国区最受欢迎论文)
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)
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)
Learning Assistance from An Adversarial Critic for Multi-output Prediction.[会议录]:International Joint Conferences on Artificial Intelligence 2019,2019
Disguise Neural Networks for Click-through Rate Prediction.[会议录]:International Joint Conferences on Artificial Intelligence 2017,2019
Adversarial Active Learning for Sequence Labeling and Generation.[会议录]:International Joint Conferences on Artificial Intelligence, 2018,2019
Graph Laplace for Occluded Face Completion and Recognition.[期刊]:IEEE Trans. Image Processing,2019
Noisy Depth Maps Fusion for Multiview Stereo via Matrix Completion.[期刊]:IEEE Journal of Selected Topics in Signal Processing,2019
Discriminant Kernel Assignment for Image Coding.[期刊]:IEEE Trans. Neural Netw. Learning Systems,2019
Visual Words Assignment via Information-Theoretic Manifold Embedding.[期刊]:IEEE Trans. Cybernetics,2019
Deep and Structured Robust Information Theoretic Learning for Image Analysis.[期刊]:IEEE Trans. Image Processing,2019
Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.[期刊]:IEEE Transactions on Cybernetics,2019
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