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北京邮电大学人工智能学院导师简介-邓伟洪

本站小编 免费考研网/2020-04-23

 

邓伟洪

 

邓伟洪 教授，博士生导师  (English version)

招生方向：深度学习、计算机视觉与模式识别
 

邮箱：myname@bupt.edu.cn; myname=”whdeng”，微博：邓伟洪_北邮        

科研推荐
 

讲授课程

  1. 模式识别及应用（通信工程、电子信息工程、数字媒体专业本科生春季学期）主要讲授贝叶斯分类、线性与逻辑回归、线性分类器、成分分析、分类器集成、聚类分析、神经网络等基础知识、2-3次Guest Lectures。教材：模式识别（第三版），清华大学出版社；参考讲义：Stanford-CS229
  2. 神经网络与模糊系统（全校研究生秋季学期），主要讲授线性分类和回归、成分和聚类分析、参数估计、神经元与多层感知器、常用损失函数、神经网络训练方法、深度卷积神经网络、深度学习软硬件PyTorch/Tensorflow/Caffe、循环神经网络、生成对抗网络、深度强化学习、深度迁移学习、2-3次Guest Lectures等。参考讲义：Stanford-CS229/CS231n CUHK ELEG 5040 POSTECH CSED703R
  3. Metric and Feature Learning for Biometrics，Asia Biometrics School

研究领域

计算机视觉、深度学习、模式识别理论与应用

  • 近年来以在SCIENCE (Technical Comments)、 IEEE TPAMI、IJCV、TIP、TIFS、PR、CVPR、ECCV、NIPS、AAAI、SIGIR等国际期刊和会议上发表论文100余篇，研究论文被世界著名研究机构（如Google AI、斯坦福大学、加州大学伯克利分校、剑桥大学、牛津大学等）的同行引用 3000余次；
  • 作为项目负责人主持多项图像识别方向的国家自然科学基金研究项目和腾讯、中兴通讯、滴滴出行、中国移动、佳能信息技术公司等企业合作项目；
  • 2019年与滴滴AI Labs合作获得WIDER FACE人脸检测数据集评测第一名，2004年开发的人脸检测算法获得863评测最高正确检测率；2008年提出的生物启发式人脸识别算法获得FRGC评测实验最高识别率；
  • 担任中国计算机学会青年计算机科技论坛（CCF YOCSEF）委员，VALSE（视觉与学习青年学者研讨会）在线委员会委员，中国计算机学会计算机视觉专委会、视觉大数专委、中国图像图形学会机器视觉专委会、成像探测与感知专委会委会、中国自动化学会混合智能专委会。
  • 长期担任国家 / 北京市 / 浙江省自然科学基金项目评审专家，教育部学位中心评审专家，国际期刊IEEE Access编委，国际期刊Image and Vision Computing客座编委，10余个高水平学术期刊（IEEE TPAMI / TIP / TNNLS / TIFS / TC / TSMC-B / TMM / THMS, IJCV, PR / PRL, IVC,电子 / 计算机 / 自动化学报等）和主要国际会议（CVPR / ECCV / ICCV / NIPS / ICASSP / ICME / ICPR / ICB / BTAS / FG等）的审稿人。
  • 国际人工智能联合会议（IJCAI 2020），国际多媒体大会（ICME 2020），国际模式识别会议（ICPR 2020）等会议的领域主席或高级程序委员，首届国际特征与相似度学习及计算机视觉应用研讨会（FSLCV2014）共同组织者。
  • 指导硕士生邬仲钧获得2015年中国生物特征识别学术会议（CCBR2015）最佳论文奖，指导本科生张硕、方雨珂（北邮与Queen Mary联合培养）获得2015、2018年英国工程技术学会年度优秀学生奖，张耀斌、方瀚获得2019年北京市优秀学士学位论文。

代表性学术论著

  1. Weihong Deng, Jiani Hu, Jun Guo, Compressive Binary Patterns: Designing a Robust Binary Face Descriptor with Random-Field Eigenfilters,  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol 41, no 3, pp. 758-767, 2019.
  2. Weihong Deng, Jiani Hu, Jun Guo, Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation,  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 10, pp. 2513-2521, 2018.
  3. Weihong Deng, Jiani Hu, Jiwen Lu, Jun Guo, Transform-Invariant PCA: A Unified Approach to Fully Automatic Face Alignment, Representation, and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 6, pp. 1275–1284, 2014. [pdf]
  4. Weihong Deng, Jiani Hu, Jun Guo, Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 34, no. 9, pp. 1864-1870, 2012. [pdf]
  5. Weihong Deng, Jiani Hu, Jun Guo, Honggang Zhang, Chuang Zhang, Comments on “Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 30. no. 8, pp. 1503–1504, 2008. [pdf]

应邀学术报告

  1. Uncertainty and Bias in Face Recognition and Expression Analysis, ICCV 2019 Workshop，韩国首尔
  2. Deep learning for visual recognition, HYU-BUPT Joint Workshop 2019韩国首尔
  3. 大规模深度人脸与表情识别，PRCV 2019讲习班
  4. 真实世界人脸表情识别研究进展，VALSE 2019、PRCV 2019专题论坛
  5. 真实世界的表情识别，VALSE 2018 Workshop、深圳大学
  6. 变换不变性主成分分析及其在人脸识别中的应用，中科院自动化所
  7. 小样本模式识别新技术，清华大学、北京交通大学
  8. 深度人脸识别与表情分析，北京大学
  9. 扩展稀疏表示及其在人脸识别中的应用，中科院计算所、西南交通大学
  10. 深度人脸识别的进展和挑战，滴滴出行
  11. 人脸识别最新研究进展，腾讯优图
  12. 人脸分析与识别新问题与数据库，重庆大学、西北工业大学
  13. “Distance Metric Learning for Face Recognition”，2016年国际生物特征识别冬季学校，吉隆坡
  14. “Distance Metric Learning for Visual Recognition”, IEEE计算机视觉与模式识别会议CVPR2015）教学报告，美国波士顿
  15. “Discriminative Learning for Single-Sample Face Recognition”，国际人脸和姿态识别学术会议（FG2015）教学报告，斯洛文尼亚
  16. “Learning-based Feature Extraction for Social Media Analysis”，IEEE 国际多媒体技术大会（ICME2014）教学报告，成都
  17. “Metric Learning for Visual Recognition”，亚洲计算机视觉技术大会（ACCV2014）教学报告，新加坡
  18. “人脸识别中的线性模型”，中国生物特征识别会议（CCBR2014）主题报告，沈阳

主持科研项目/技术应用

  1. 大姿态变化条件下的深度人脸识别研究 ，国家自然科学基金面上项目
  2. 基于深度特征学习的人脸识别研究，国家自然科学基金面上项目
  3. 基于扩展稀疏表示的多姿态人脸识别研究，国家自然科学基金面上项目
  4. 基于主动感知的人脸识别研究，国家自然科学基金青年基金项目
  5. 计算机视觉与模式识别理论应用，教育部新世纪优秀人才计划
  6. 模式识别与机器学习技术研究，北京市科技新星计划
  7. 模式识别与应用，北京市高等学校青年英才计划
  8. 高维数据判别分析理论及其在图像识别中的应用，北京邮电大学青年科研创新计划
  9. 稀疏表示理论及其在图像识别中的应用，北京邮电大学青年科研创新计划
  10. 智能视频分析技术，企业委托开发项目
  11. 图像特征点定位，企业委托开发项目
  12. 图像特征提取，企业委托开发项目
  13. 面向社交网络的图片自动标注系统开发，企业委托开发项目
  14. 基于模式识别的创新型金融应用产品开发，企业委托开发项目

 研究论文列表（时间倒序）

  1. Shan Li, Weihong Deng, Deep Face Expression Recognition: A Survey, IEEE Transactions on Affective Computing 2020
  2. Yaobing Zhang, Weihong Deng, et al., Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition, CVPR 2020
  3. Xiehe Wang, Weihong Deng, et al.,  PropagationNet: Propagate Points to Curve to Learn Structure Information, CVPR 2020
  4. Mei Wang, Weihong Deng, Mitigating Bias in Face Recognition using Skewness-Aware Reinforcement Learning, CVPR 2020
  5. Y Fang, W Deng, J Du, J Hu, Identity-aware CycleGAN for face photo-sketch synthesis and recognition, Pattern Recognition 2020
  6. S Li, W Deng, A Deeper Look at Facial Expression Dataset Bias, IEEE Transactions on Affective Computing 2020
  7. M Wang, W Deng, Deep Face Recognition with Clustering based Domain Adaptation, Neurocomputing 2020
  8. Mei Wang, Weihong Deng, et al., Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation Network, ICCV 2019.
  9. Bingyu Liu, Weihong Deng, et al., Fair Loss: Margin-aware Reinforcement Learning for Deep Face Recognition, ICCV 2019.
  10. Yaoyao Zhong, Weihong Deng, et al., Adversarial Learning with Margin-based Triplet Embedding Regularization, ICCV 2019.
  11. Binghui Chen, Weihong Deng, et al., Mixed High-Order Attention Network for Person Re-Identification, ICCV 2019.
  12. Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, et al., Unequal-training for deep face recognition with long-tailed noisy data, CVPR 2019.
  13. Tongtong Yuan, Weihong Deng, Jian Tang, Jiani Hu, et al., Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning, CVPR 2019.
  14. Binghui Chen, Weihong Deng, Hybrid-Attention based Decoupled Embedding Learning for Zero-Shot Image Retrieval, CVPR 2019.
  15. Yichen Qian, Weihong Deng, Jiani Hu, Unsupervised Face Normalization with Extreme Pose and Expression in the Wild, CVPR 2019.
  16. Shan Li, Weihong Deng, Blended Emotion in-the-Wild: Multi-label Facial Expression Recognition Using Crowdsourced Annotations and Deep Locality Feature Learning, International Journal of Computer Vision (IJCV), 2019.
  17. Binghui Chen, Weihong Deng, Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering, AAAI, 2019.
  18. Tongtong Yuan, Weihong Deng, Jiani Hu, Zhanfu An, Yinan Tang, Unsupervised Adaptive Hashing Based on Feature Clustering, Neurocomputing, 2019
  19. Binghui Chen, Weihong Deng, Haifeng Shen, Virtual Class Enhanced Discriminative Embedding Learning, NIPS 2018 (Spotlight)
  20. Shan Li, Weihong Deng, Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition, IEEE Transactions on Image Processing, 2018.
  21. Yida Wang, Weihong Deng, Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models, IEEE Transactions on Image Processing, 2018.
  22. Hongjun Wang, Jiani Hu, Weihong Deng, Face Feature Extraction: A Complete Review. IEEE Access 6: 6001-6039, 2018.
  23. Weihong Deng, Hongjun Wang, Face recognition with compressed Fisher vector on multiscale convolutional features. IET Biometrics 7(5): 447-453, 2018
  24. Mei Wang, Weihong Deng, Deep Visual Domain Adaptation: A Survey, Neurocomputing (2018), doi: 10.1016/j.neucom.2018.05.083
  25. Weihong Deng, Jiani Hu, Jun Guo, Compressive Binary Patterns: Designing a Robust Binary Face Descriptor with Random-Field Eigenfilters,  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),  2018.
  26. Shan Li, Weihong Deng, Deep Emotion Transfer Network for Cross-database Facial Expression Recognition, International Conference on Pattern Recognition (ICPR), 2018.
  27. Zimeng Luo, Jiani Hu, Weihong Deng, Local Subclass Constraint for Facial Expression Recognition in the Wild, International Conference on Pattern Recognition (ICPR), 2018.
  28. Yaoyao Zhong, Weihong Deng, Deep Difference Analysis in Similar-looking Face recognition, International Conference on Pattern Recognition (ICPR), 2018
  29. Zhanfu An and Weihong Deng, Deep Transfer Network with 3D Morphable Models for Face Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2018.
  30. Zimeng Luo, Jiani Hu and Weihong Deng, Deep Unsupervised Domain Adaptation for Face Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2018.
  31. Weilong Chai and Weihong Deng, Cross-generating GAN for Facial Identity PreservingYichen Qian, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2018.
  32. Yichen Qian, Weihong Deng and Jiani Hu, Task Specific Networks for Identity and Face Variation, IEEE  International Conference on Automatic Face and Gesture Recognition (FG), 2018.
  33. Weihong Deng, Jiani Hu, Jun Guo, Face Recognition via Collaborative Representation: Its Discriminant Nature and Superposed Representation,  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017.
  34. Weihong Deng, Jiani Hu, Zhongjun Wu, Jun Guo,  From One to Many: Pose-Aware Metric Learning for Single-Sample Face Recognition, Pattern Recognition (PR), 2017.
  35. Weihong Deng, Yuke Fang, Zhenqi Xu, Jiani Hu,  Facial Landmark Localization by Enhanced Convolutional Neural Network, Neurocomputing, 2017
  36. Weihong Deng, Binghui Chen, Yuke Fang, Jiani Hu, Deep Correlation Feature Learning for Face Verification in the Wild, IEEE Signal Processing Letter, 2017.
  37. Weihong Deng, Jiani Hu, Nanhai Zhang, Binghui Chen, Jun Guo, Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership. Pattern Recognition (PR), 2017.
  38. Weihong Deng, Jiani Hu, Zhongjun Wu, Jun Guo, Lighting-Aware Face Frontalization for Unconstrained Face Recognition. Pattern Recognition (PR), 2017.
  39. Shan Li, Weihong Deng, Junping Du, Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Expression Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  40. Binghui Chen, Weihong Deng, Junping Du, Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  41. Tianyue Zheng, Weihong Deng, Jiani Hu, Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition, CVPR Workshop on Biometrics 2017.
  42. Tianyue Zheng, Weihong Deng and Jiani Hu, Deep Probabilities for Age Estimation, VCIP 2017. (Oral)
  43. Tongtong Yuan, Weihong Deng and Jiani Hu, Supervised Hashing with Extreme Learning, VCIP 2017. (Oral)
  44. Zhanfu An, Weihong Deng and Jiani Hu, Deep Transfer Network for Face Recognition Using 3D Synthesized Face, VCIP 2017. (Oral)
  45. Tongtong Yuan, Weihong Deng, Distortion Minimization Hashing, IEEE Access, 2017
  46. Hongjun Wang, Jiani Hu, Weihong Deng, Compressing Fisher Vector for Robust Face Recognition, IEEE Access, 2017
  47. Yanbing Liao and Weihong Deng, Deep Rank Learning for Facial Attractivenes, ACPR 2017.
  48. Yue Ren, Jiani Hu, Weihong Deng, Facial Expression Intensity Estimation Based on CNN Features and RankBoost, ACPR 2017.
  49. Yukun Ge, Jiani Hu, Weihong Deng, PCA-LDANet: A simple feature learning method for image classification, ACPR 2017.
  50. Yan Wang, Jiani Hu, Weihong Deng, Sum-fusion and Cascaded interpolation for Semantic Image Segmentation, ACPR 2017.
  51. Shuying Liu, Yipeng Huang, Jiani Hu, Weihong Deng, Learning Local Responses of Facial Landmarks with Conditional Variational Auto-Encoder for Face Alignment, The 2nd International Workshop on Biometrics in the Wild 2017 (BWild 2017)
  52. Yipeng Huang, Shuying Liu, Jiani Hu, Weihong Deng, Metric-Promoted Siamese Network for Gender Classification, The 2nd International Workshop on Biometrics in the Wild 2017 (BWild 2017)
  53. Bin Dong, Zhanfu An, Jian Lin, Weihong Deng, Attention-Based Template Adaptation for Face Verification, The 2nd International Workshop on Biometrics in the Wild 2017 (BWild 2017)
  54. Zhiwen Liu, Shan Li, Weihong Deng, Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression Recognition in the Wild, The 2nd International Workshop on Biometrics in the Wild 2017 (BWild 2017)
  55. Guosheng Hu, Fei Yan, Chi-Ho Chan, Weihong Deng, , William Christmas, Josef Kittler, Neil M. Robertson, Face recognition using a unified 3D morphable model, ECCV 2016
  56. Yida Wang, Can Cui, Xiuzhuang Zhou, Weihong Deng, ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models, ACCV 2016
  57. Zhongjun Wu, Weihong Deng, Zhanfu An,  Illumination-Recovered Pose Normalization for Unconstrained Face Recognition, ACCV 2016
  58. Zhenqi Xu, Weihong Deng, Jiani Hu, Learning Facial Point Response for Alignment by Purely Convolutional Network, ACCV 2016
  59. Zhiwen Liu, Shan Li, Weihong Deng, Real-World Facial Expression Recognition using Metric Learning Method, CCBR 2016
  60. Zhiwen Liu, Shan Li, Weihong Deng, Recognizing Compound Emotional Expression in Real-world using Metric Learning Method, CCBR 2016
  61. Nanhai Zhang, Jiajie Han, Jiani Hu, Weihong Deng, Locally Rejected Metric Learning Based False Positives Filtering For Face Detection, CCBR 2016
  62. Shuying Liu, Weihong Deng, Pose Aided Deep Convolutional Neural Networks for face alignment, CCBR 2016
  63. Liao Yanbing, Deng Weihong, and Can Cui, Rank Beauty, CCPR 2016
  64. Tongtong Yuan and Weihong Deng, Robust supervised hashing, A robust supervised hashing, CCPR 2016
  65. Jiajie Han, Jiani Hu and Weihong Deng, Constrained Spectral Clustering on Face Annotation System, CCPR 2016
  66. Yan Gao, Shan Li, Weihong Deng, Intensity estimation of the real-world expression, CCPR 2016
  67. Ling Huang, Songguang Tang, Jiani Hu, Weihong Deng, Saliency Region Detection via Graph Model and Statistical Learning, CCPR 2016
  68. Yida Wang, Weihong Deng, Self-Restraint Object Recognition by Model base CNN Learning, ICIP 2016.
  69. Zhongjun Wu, Weihong Deng, One-shot Deep Neural Network for Pose and Illumination Normalization Face Recognition, IEEE International Conference on Multimeida and Expo (ICME) 2016
  70. Zhenqi Xu, Jiani Hu, Weihong Deng, Recurrent Convolutional Neural Network for Video Classification, IEEE International Conference on Multimeida and Expo (ICME) 2016
  71. Binghui Chen, Weihong Deng, Weakly-Supervised Deep Self-learning for Face Recognition, IEEE International Conference on Multimeida and Expo (ICME) 2016
  72. Nanhai Zhang, Jiajie Han, Jiani Hu, Weihong Deng, Geometry-aware Metric Learning For Similar Face Recognition, IEEE International Conference on Multimeida and Expo (ICME) 2016
  73. Shan Li, Weihong Deng, Real world expression recognition: A highly imbalanced detection problem, 9th IAPR International Conference on Biometrics (ICB), 2016
  74. Nanhai Zhang, Weihong Deng, Fine-grained LFW Database, 9th IAPR International Conference on Biometrics (ICB), 2016
  75. Zhongjun Wu, Weihong Deng,  Adaptive Quotient Image with 3D Generic Elastic Models for Pose and Illumination Invariant Face Recognition, The 10th Chinese Conference on Biometric Recognition, pp. 3-10, 2015
  76. Yida Wang, Shasha Li, Jiani Hu, Weihong Deng. Face Recognition Using Local PCA Filters, The 10th Chinese Conference on Biometric Recognition, pp. 35-42, 2015
  77. Nanhai Zhang, Jiajie Han, Jiani Hu, Weihong Deng, Metric Learning Based False Positives Filtering for Face Detection, 10th Chinese Conference on Biometric Recognition, pp. 60-67, 2015
  78. Hongjun Wang and Weihong Deng, Face Recognition via Compact Fisher Vector, 10th Chinese Conference on Biometric Recognition, pp. 68-77, 2015
  79. Jun Li, Shasha Li, Jiani Hu, Weihong Deng, Simultaneous Blurred Face Restoration and Recognition, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  80. Hongjun Wang, Jiani Hu and Weihong Deng, Binary Matchin for High-dimensional Image Descriptors, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  81. Zhenqi Xu, Shan Li, Weihong Deng, Learning Temporal Features Using LSTM-CNN Architecture for Face Anti-spoofing, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  82. Zhongjun Wu, Shan Li, Weihong Deng, Practical Pose Normalizaiton for Pose-Invariant Face Recognition, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  83. Shuying Liu, Weihong Deng, Very Deep Convolutional Neural Network Based Image Classification Using Small Training Sample Size, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  84. Shasha Li, Yukai Tu, Weihong Deng, Jiwen Lu, Noise-resistant local binary pattern based on random projection, 3rd Asian Conference on Pattern Recognition (ACPR), 2015
  85. Shasha Li, Weihong Deng, Face Recognition using Random Features, IEEE Visual Communications and Image Processing (VCIP), 2015.
  86. Weihong Deng, Jiani Hu, Shuo Zhang, Jun Guo, DeepEmo: Real-world Facial Expression Analysis via Deep Learning, IEEE Visual Communications and Image Processing (VCIP), 2015.
  87. Zhongjun Wu, Jiayu Li, Jiani Hu, Weihong Deng Pose-invariant face recognition using 3D multi-depth generic elastic models Automatic Face and Gesture Recognition (FG) 2015: 1-6 2015
  88. Jun Li, Shasha Li, Jiani Hu, Weihong Deng, Adaptive LPQ: An Efficient Descriptor for Blurred Face Recognition, International Conference on Automatic Face and Gesture Recognition, 2015
  89. Jiwen Lu, Gang Wang, Weihong Deng, Kui Jia: Reconstruction-Based Metric Learning for Unconstrained Face Verification. IEEE Transactions on Information Forensics and Security 10(1): 79-89 (2015)
  90. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Jie Zhou: Multi-manifold deep metric learning for image set classification. CVPR 2015: 1137-1145
  91. Weihong Deng, Jiani Hu, Jiwen Lu, Jun Guo, Transform-Invariant PCA: A Unified Approach to Fully Automatic Face Alignment, Representation, and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 6, pp. 1275–1284, 2014
  92. Weihong Deng, Jiani Hu, Xiuzhuang Zhou, Jun Guo, Equidistant Prototypes Embedding for Single Sample Based Face Recognition with Generic Learning and Incremental Learning, Pattern Recognition (PR),vol 47, no. 12, pp. 3738–3749, 2014.
  93. Haibin Yan, Jiwen Lu, Weihong Deng, Gang Wang, Discriminative multimetric learning for kinship verification[J]. IEEE Transactions on Information forensics and security, 2014, 9(7): 1169-1178.
  94. Jun Li, Chi Zhang, Jiani Hu, Weihong Deng, Blur-Robust Face Recognition via Transformation Learning. ACCV Workshops (3) 2014: 15-29
  95. Liu Liu, Jiani Hu, Shuo Zhang, Weihong Deng, Extended Supervised Descent Method for Robust Face Alignment. ACCV Workshops (3) 2014: 71-84
  96. Zhoucong Cui, Shuo Zhang, Jiani Hu, Weihong Deng, Evaluation of Smile Detection Methods with Images in Real-World Scenarios. ACCV Workshops (3) 2014: 166-179
  97. Weihong Deng, Jiani Hu, Liu Liu, Jun Guo, Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment. ACCV (4) 2014: 708-723
  98. Weihong Deng, Jiani Hu, Jun Guo, Linear Ranking Analysis. CVPR 2014: 3638-3645
  99. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition. ECCV (1) 2014: 265-280
  100. Chi Zhang, Xiang Sun, Jiani Hu, Weihong Deng, Precise eye localization by fast local linear SVM. ICME 2014: 1-6
  101. Jiani Hu, Weihong Deng, Jun Guo, Yajing Xu, Max-K-Min Distance Analysis for Dimension Reduction. ICPR 2014: 726-731
  102. Jiani Hu, Weihong Deng, Jun Guo, Online Regression of Grandmother-Cell Responses with Visual Experience Learning for Face Recognition. ICPR 2014: 4606-4611
  103. Liang Yin, Mingzhi Dong, Ying Duan, Weihong Deng, et al, A high-performance training-free approach for hand gesture recognition with accelerometer, Multimedia Tools Applications, 2013.
  104. Weihong Deng, Jiani Hu, Jun Guo, In Defense of Sparsity Based Face Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
  105. Mingzhi Dong, Liang Yin, Weihong Deng, et al., A Maximum K-Min Approach for Classification, AAAI 2013
  106. Weihong Deng, Jiani Hu, Jun Guo: Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1864-1870 (2012)
  107. Weihong Deng, Yebin Liu, Jiani Hu, Jun Guo: The small sample size problem of ICA: A comparative study and analysis. Pattern Recognition 45(12): 4438-4450 (2012)
  108. Liang Yin, Mingzhi Dong, Weihong Deng, Jun Guo, Bin Zhang: Statistical Color Model Based Adult Video Filter. ICME Workshops 2012: 349-353
  109. Mingzhi Dong, Liang Yin, Weihong Deng, Jun Guo, Weiran Xu: A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops 2012: 402-407
  110. Jiani Hu, Weihong Deng, Jun Guo, “Robust eye detection via sparse representation”, in proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, pp.411-415, 2012.
  111. Jiani Hu, Weihong Deng, Jun Guo,  “A semi-supervised clustering algorithm based on local scaling graph and label propagation”, in Proceedings of International Conference on Computer Science and Network Technology, pp.1059-1062, 2011.
  112. Hu, Jiani; Deng, Weihong; Guo, Jun, “2D projective transformation based active shape model for facial feature location”, in Proceedings of 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, v 4, p 2442-2446, 2011.
  113. Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng, “Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach”, Pattern Recognition, vol. 43. no. 5, pp. 1748-1762, 2010.
  114. Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng, “Emulating biological strategies for uncontrolled face recognition”, Pattern Recognition, vol. 43. no. 6, pp. 2210-2223, 2010.
  115. Honggang Zhang, Weihong Deng, Jun Guo, Jie Yang, “Locality preserving and global discriminant projection with prior information”, MACHINE VISION AND APPLICATIONS, Vol.21, No.4, pp.577-585, 2010.
  116. Hu Jiani, Li Yu, Deng Weihong, Guo Jun, Xu Weiran, “Locating facial features by robust active shape model”, 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010, pp. 196-200, 2010.
  117. 高精度人脸识别算法研究，北京邮电大学博士学位论文（北京市优秀博士学位论文）。
  118. Jiani Hu, Weihong Deng, Jun Guo, etc. Learning a Locality Discriminating Projection for Classification, Knowledge-Based Systems, Elsevier, vol. 22, no. 8, pp.562-568, 2009.
  119. Jiani Hu, Weihong Deng, Jun Guo. Semi-Supervised Learning Based on Label Propagation through Submanifold, Sixth International Symposium on Neural Networks, Part I, LNCS 5551, pp. 617-623, 2009.
  120. Weihong Deng, Jun Guo, Jiani Hu, Hongang Zhang, “Comment on “100% Accuracy in Automatic Face Recognition””, Science, vol. 321. no. 5891, pp. 912, 2008
  121. Weihong Deng, Jiani Hu, Jun Guo, Hongang Zhang, Chuang Zhang, “Comments on “Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics””, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30. no. 8, pp. 1503-1504, 2008.
  122. Jiani Hu, Weihong Deng, Jun Guo, etc, “Locality Discriminating Indexing for Document Classification” The 30th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR’ 07), pp.689-690, 2007.
  123. Jiani Hu, Weihong Deng, Jun Guo, etc, “Learning Locality Discriminating Indexing for Text Categorization” The 4th International Conference on Fuzzy Systems and Knowledge Discovery, 2007, pp. 239-242.
  124. Jiani Hu, Weihong Deng, Jun Guo, “A Clustering Algorithm Based on Adaptive Subcluster Merging” The 20th Canadian Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, vol. 4509, pp. 241-249, 2007.
  125. 胡佳妮，郭军，邓伟洪，徐蔚然，“基于短文本的独立语义特征抽取算”，通信学报，28(12)，pp.121-124, 2007.
  126. Weihong Deng, Jiani Hu, Jun Guo, “Robust Discriminant Analysis o f Gabor Feature for Face Recognition” The 4th International Conference on Fuzzy Systems and Knowledge Discovery, vol.3, pp248-252, 2007.
  127. Jiani Hu, Weihong Deng, Jun Guo, “Improving Retrieval Performance by Global Analysis” Proceeding of the 18th International Conference on Pattern Recognition (ICPR2006), vol. 2, pp. 703–706, 2006.
  128. Jiani Hu, Weihong Deng, Jun Guo, “Robust Discriminant Analysis of Latent Semantic Feature for Text Categorization”, The 3rd International Conference on Fuzzy Systems and Knowledge Discovery, Lecture Notes in Artificial Intelligence, vol. 4223, pp. 400–409, 2006.
  129. Weihong Deng, Jiani Hu, Jun Guo, “Gabor Feature Based Classification using LDA/QZ Algorithm for Face Recognition” The 2nd International Conference on Natural Computation, Lecture Notes in Computer Science, Vol. 4221, pp. 15–24, 2006.
  130. Weihong Deng, Jiani Hu, Jun Guo, “Robust fisher linear discriminant model for dimensionality reduction”, International Conference on Pattern Recognition, v 2, p 699-702, 2006, Proceedings – 18th International Conference on Pattern Recognition, ICPR2006
  131. Weihong Deng, Jiani Hu, Jun Guo, Gabor-Eigen-Whiten-Cosine: A Robust Scheme for Face Recognition. IEEE International Workshop on Analysis and Modeling of Faces and Gestures conjuncted with ICCV2005,(AMFG2005), Lecture Notes in Computer Science, Vol. 3723. (Oct. 2005) pp.336-349.
  132. Weihong Deng, Jiani Hu, Jun Guo, Robust Face Recognition from One Training Sample per Person, First International Conference on Natural Computation (ICNC’05), Lecture Notes in Computer Science, Vol. 3610. (July, 2005) pp.915-924.

指导在读学生

  • 博士生：袁彤彤，安占福，陈炳辉，李珊，钟瑶瑶，王玫，赵钰莹
  • 葛煜坤，陈路燕，柴维珑，王泄合，粟志军，梁欢
  • 刘炳宇，田万鑫，杨善明，方雨珂，孙江月，葛建成
  • 张耀斌，方瀚，范弘炜，牛逸凡，于泽辉

QQ图片20151222085300 20160331_155546QQ图片20151222085638 QQ图片20151222085328QQ图片20151225232735  

毕业学生

  • 读博：董明智 UCL，徐翔 UH，李莎莎 UCR，蔡佳芮 UW，李昱 NUS，王婧 Michigan，王一达 TUM
  • 读研：张硕 Cambridge [IET年度优秀学生]，李嘉钰、邱淑雯 UCLA，陈脱颖 UCSD，钱尘 Stanford，曾翔宇 Columbia，姜晟浩 Harvard，孙祥、于世莲 清华大学
  • 百度：阴凉，黄凌，林坚，郑天悦，白雪
  • 阿里：刘柳，李靖意，张南海，钱一琛
  • 腾讯：黄义鹏
  • 网易：邬仲钧，刘书颖，董彬
  • 头条：徐珍琦，廖艳冰
  • 美团：张振华
  • 滴滴：王艳，李剑
  • 微软：张驰，王远
  • Momenta：李俊，韩嘉杰
  • 罗子朦（旷视），刘智雯（vivo）

附1：研究生培养的主要能力（保送或读研考核）

  • 编程实践能力：无论是算法还是工程，动手和折腾是做好本领域研究的首要能力，要求本科期间的编程作业均为独立完成，读研期间需要做大量的编程来验证想法的合理性。
  • 心态调整能力：本小组比较侧重科研创新和论文发表，要求同学们有持续完善研究课题的耐心和热情。
  • 较强英语文献自学和表达能力、基础数学理解和推导能力。
  • 认识研究生与本科生学习的区别，如何充实地完成研究生学业？学生角度 / 导师角度 / 人生角度
  • 2018届研究生毕业典礼导师代表发言： “人工智能”的坚毅和独立思考

附2：计算机视觉应用领域（学生主要就业方向）

相关话题/人工智能
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