基本信息

赫然 研究员 博导 中科院自动化研究所

2019国庆70周年阅兵观礼嘉宾
国家优秀青年科学基金获得者
北京杰出青年科学基金获得者
国际模式识别学会会士(IAPR Fellow)
中国科学院优秀导师
IEEE SPS信息取证和安全技术委员会委员

电子邮件: ran.he[at]ia[dot]ac[dot]cn 
通信地址: 海淀区中关村东路95号 智能化大厦1606
邮政编码: 100190
英文主页谷歌学术

求贤信息

助理研究员、博士后,具有一定机器学习或计算机视觉研究基础,有科研激情,乐于奉献;
算法工程师,从事深度学习算法和应用系统开发,优秀的硕士毕业生可解决户口;
实习生,具有一定深度学习和计算机视觉基础,实习1年以上,有发顶会的激情。
(和谭铁牛院士联合培养的博士生梁坚(2018)、黄怀波(2019)、李祎(2020)、傅朝友(2022)、骆曼迪(2022)获得中科院研究生最高奖中科院院长奖)
(省市优秀毕业生:2019(黄怀波)、2020(李祎、段俊贤)、2021(曹杰、侯峦轩、朱昊)、2022(于艾靖、卫建泽、傅朝友)
(CAS特别研究助理:李佳(2020)、梁坚(2021))

招生专业
081104-模式识别与智能系统
081203-计算机应用技术
招生方向
模式识别,计算机视觉,机器学习, 深度学习

工作经历

2005-09--2009-07   中科院自动化所   博士
2001-09--2004-07   大连理工大学   硕士
1997-09--2001-07   大连理工大学   学士

工作简历
2020-09~现在, 中科院自动化所"2035创新团队", 负责人
2020-05~现在, 中国科学院大学人工智能学院人工智能基础教研室, 主任
2019-08~现在, 自动化所智能感知与计算研究中心(先进党支部2020,2021), 书记
2017-11~2019-11,中国科学院大学人工智能学院模式识别教研室, 副主任
2016-12~现在, 中国科学院自动化研究所, 研究员
2016-01~现在, 中国科学院人事局, 特聘研究员
2015-08~现在, 中国科学院脑科学与智能技术卓越创新中心, 年轻骨干
2015-04~现在, 中国科学院大学, 岗位教授
2013-09~2013-11,美国马里兰大学, 高级访问学者
2011-11~2016-12,中国科学院自动化研究所, 副研究员
2010-09~2011-11,中科院自动化所, 助理研究员
2009-07~2010-09,大连理工大学, 讲师
2004-07~2005-07,中科院软件所, 软件工程师
社会兼职
2023-01-01-2025-12-31,IEEE信号处理学会信息取证和安全技术委员会(IEEE IFS-TC), 委员
2022-10-17-今,CVPR 2023, Area Chair
2022-03-01-今,ECCV 2022, Area Chair
2021-09-24-今,中国计算机协会, CCF杰出会员(Distinguished Membership)
2021-06-30-2022-11-30,NeurIPS 2021/2022, Area Chair
2021-06-30-今,IEEE Transactions on Image Processing, 编委(Member of Editor Board)
2021-06-05-今,北京图象图形学学会, 常务理事、学术委员会主任
2021-03-18-今,中国之声《新闻纵横》, 嘉宾(语音社交和AI换脸)
2020-12-23-今,Entropy, 编委(Member of Editor Board)
2020-10-29-今,自动化学报(中国权威学术期刊(A+)), 编委
2020-01-19-2020-01-19,中央电视台科教频道《透视新科技》, 嘉宾(刷脸生活,http://tv.cctv.com/lm/tsxkj/)
2019-10-12-2019-10-13,第十三届中国生物特征识别大会(CCBR2019), 程序委员会主席
2019-10-01-2019-10-01,中华人民共和国成立70周年阅兵观礼, 观礼嘉宾
2019-09-24-今,Elsevier Pattern Recognition, 编委(Member of Editor Board)
2019-08-05-2022-08-05,CCF第十二次会员代表大会, 会员代表
2018-08-20-2018-08-24,International Conference on Pattern Recognition, Publication chair/Area chair
2017-06-28-2020-09-20,图像图形技术与应用学术会议(IGTA), 程序委员会主席
2017-05-10-今,中国图象图形学学会-视觉大数据专委会, 秘书长
2012-08-31-2019-11-01,Image Processing (IET), Member of Editor Board
2012-04-01-2012-11-01,International Conference on Pattern Recognition, Area Chair
2011-08-31-2020-11-30,Neurocomputing (Elsevier), Associate Editor

教授课程

机器学习
深度学习在视觉和自然语言处理中的应用
生物特征识别
信息理论与机器学习
深度学习

专利与奖励

- 中国科学院优秀导师, 2022 
- 中国图象图形学学会自然科学一等奖, 2021 
- 北京图象图形学学会优秀博士论文导师奖, 2021、2022 
- CSIG“多媒体伪造取证大赛”伪造视频取证亚军, 2021 
- IAPR ICPR Best Scientific Paper Award, 2020 
- IEEE SPS Young Author Best Paper Award, 2020 
- 中国科学院“朱李月华优秀教师”奖, 2020 
- 中国科学院自动化研究所优秀党务工作者, 2020 
- 2019-2020美团最佳科研合作奖, 2020 
- 2019腾讯AI Lab犀牛鸟专项研究计划优秀奖, 2020 
- 中国科学院青年创新促进会优秀会员, 2019
- Wider Challenge人脸检测冠军, 2019
- IAPR/IEEE ICB Honorable Mention Paper Award, 2019
- 中国科学院自动化研究所十佳员工, 2017
- IEEE ISM Best Paper Candidate, 2016
- 吴文俊人工智能科学技术创新奖, 二等奖, 2015
- 北京青年优秀科技论文, 一等奖, 2015
- ACM Beijing Rising Star Award, 2015
- 微软青年学者铸星计划, 2015
- 中国科学院"卢嘉锡青年人才奖", 2014
- IAPR ACPR Best Poster Award, 2013

出版信息

3篇被TPAMI接收,4篇被CVPR-2022接收,2篇被ICCV-2021接收1篇被AAAI-2022接收

发表论文
[1] Fu, Chaoyou, Hu, Yibo, Wu, Xiang, Shi, Hailin, Mei, Tao, He, Ran. CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification. 2021, http://arxiv.org/abs/2101.08467.
[2] Yu, Aijing, Wu, Haoxue, Huang, Huaibo, Lei, Zhen, He, Ran. LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(5): 1467-1483, https://www.webofscience.com/wos/woscc/full-record/WOS:000617408800002.
[3] Li, Zhihang, Xi, Teng, Zhang, Gang, Liu, Jingtuo, He, Ran. AutoDet: Pyramid Network Architecture Search for Object Detection. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(4): 1087-1105, http://dx.doi.org/10.1007/s11263-020-01415-x.
[4] He Ran. Information Bottleneck Disentanglement for Identity Swapping. CVPR. 2021, [5] Cao, Jie, Hou, Luanxuan, Yang, MingHsuan, He, Ran, Sun, Zhenan. ReMix: Towards Image-to-Image Translation with Limited Data. 2021, http://arxiv.org/abs/2103.16835.
[6] Fu, Chaoyou, Hu, Yibo, Wu, Xiang, Wang, Guoli, Zhang, Qian, He, Ran. High Fidelity Face Manipulation with Extreme Poses and Expressions. 2021, http://arxiv.org/abs/1903.12003.
[7] Wang, Wei, Wang, Hao, Ran, ZhiYong, He, Ran. Learning Robust Feature Transformation for Domain Adaptation. PATTERN RECOGNITION[J]. 2021, 114: http://dx.doi.org/10.1016/j.patcog.2021.107870.
[8] Huang, Huaibo, Yu, Aijing, Chai, Zhenhua, He, Ran, Tan, Tieniu. Selective Wavelet Attention Learning for Single Image Deraining. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(4): 1282-1300, https://www.webofscience.com/wos/woscc/full-record/WOS:000610036300001.
[9] Song, Linsen, Wu, Wayne, Fu, Chaoyou, Qian, Chen, Loy, Chen Change, He, Ran. Everything's Talkin': Pareidolia Face Reenactment. 2021, http://arxiv.org/abs/2104.03061.
[10] He, Ran, Li, Yi, Wu, Xiang, Song, Lingxiao, Chai, Zhenhua, Wei, Xiaolin. Coupled adversarial learning for semi-supervised heterogeneous face recognition. PATTERN RECOGNITION[J]. 2021, 110: http://dx.doi.org/10.1016/j.patcog.2020.107618.
[11] Luo, Mandi, Cao, Jie, Ma, Xin, Zhang, Xiaoyu, He, Ran. FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2021, 16: 2341-2355, http://dx.doi.org/10.1109/TIFS.2021.3053460.
[12] He Ran. FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. CVPR. 2021, [13] He Ran. Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. CVPR. 2021, [14] Zhou, Xiaoqiang, Li, Junjie, Wang, Zilei, He, Ran, Tan, Tieniu, IEEE COMP SOC. Image Inpainting with Contrastive Relation Network. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2021, 4420-4427, [15] Fu, Chaoyou, Wu, Xiang, Hu, Yibo, Huang, Huaibo, He, Ran. DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. 2021, http://arxiv.org/abs/2009.09399.
[16] Yu, Junchi, Xu, Tingyang, Rong, Yu, Bian, Yatao, Huang, Junzhou, He, Ran. Graph Information Bottleneck for Subgraph Recognition. 2020, http://arxiv.org/abs/2010.05563.
[17] Li, Yi, Huang, Huaibo, Cao, Jie, He, Ran, Tan, Tieniu. Disentangled Representation Learning of Makeup Portraits in the Wild. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2020, 128(8-9): 2166-2184, http://dx.doi.org/10.1007/s11263-019-01267-0.
[18] Hou, Luanxuan, Cao, Jie, Zhao, Yuan, Shen, Haifeng, Tang, Jian, He, Ran. $P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. 2020, http://arxiv.org/abs/2010.14076.
[19] Cao, Jie, Huang, Huaibo, Li, Yi, He, Ran, Sun, Zhenan. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. 2020, http://arxiv.org/abs/2001.01173.
[20] He Ran. Hierarchical Face Aging through Disentangled Latent Characteristics. European Conference on Computer Vision (ECCV). 2020, [21] Zhu, Hao, Li, Yi, Zhu, Feixia, Zheng, Aihua, He, Ran. Lets Play Music: Audio-driven Performance Video Generation. 2020, http://arxiv.org/abs/2011.02631.
[22] He Ran. Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. International Conference on Pattern Recognition. 2020, [23] Zhu, Hao, Huang, Huaibo, Li, Yi, Zheng, Aihua, He, Ran. Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. 2020, http://arxiv.org/abs/1812.06589.
[24] Li, Zhihang, Hu, Yibo, He, Ran, Sun, Zhenan. Learning disentangling and fusing networks for face completion under structured occlusions. PATTERN RECOGNITION[J]. 2020, 99: http://dx.doi.org/10.1016/j.patcog.2019.107073.
[25] Li, Zhihang, Tang, Xu, Wu, Xiang, Liu, Jingtuo, He, Ran. Progressively Refined Face Detection Through Semantics-Enriched Representation Learning. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2020, 15: 1394-1406, http://dx.doi.org/10.1109/TIFS.2019.2941800.
[26] Zheng, Xin, Huang, Huaibo, Guo, Yanqing, Wang, Bo, He, Ran. BLAN: Bi-directional ladder attentive network for facial attribute prediction. PATTERN RECOGNITION[J]. 2020, 100: http://dx.doi.org/10.1016/j.patcog.2019.107155.
[27] Cao, Jie, Hu, Yibo, Zhang, Hongwen, He, Ran, Sun, Zhenan. Towards High Fidelity Face Frontalization in the Wild. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2020, 128(5): 1485-1504, http://dx.doi.org/10.1007/s11263-019-01229-6.
[28] Wu, Xiang, He, Ran, Hu, Yibo, Sun, Zhenan. Learning an Evolutionary Embedding via Massive Knowledge Distillation. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2020, 128(8-9): 2089-2106, http://dx.doi.org/10.1007/s11263-019-01286-x.
[29] Li, Qiaozhe, Zhao, Xin, He, Ran, Huang, Kaiqi. Recurrent Prediction With Spatio-Temporal Attention for Crowd Attribute Recognition. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2020, 2167-2177, [30] Duan Boyan, Fu Chaoyou, Li Yi, Song Xingguang, He Ran. Cross-Spectral Face Hallucination via Disentangling Independent Factors. 2020, http://arxiv.org/abs/1909.04365.
[31] Li, Peipei, Hu, Yibo, Wu, Xiang, He, Ran, Sun, Zhenan. Deep label refinement for age estimation. PATTERN RECOGNITION[J]. 2020, 100: http://dx.doi.org/10.1016/j.patcog.2019.107178.
[32] He, Ran, Cao, Jie, Song, Lingxiao, Sun, Zhenan, Tan, Tieniu. Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2020, 42(5): 1025-1037, https://www.webofscience.com/wos/woscc/full-record/WOS:000523685800002.
[33] Li, Qi, Sun, Zhenan, He, Ran, Tan, Tieniu. A General Framework for Deep Supervised Discrete Hashing. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2020, 128(8-9): 2204-2222, https://www.webofscience.com/wos/woscc/full-record/WOS:000558380300001.
[34] Ma, Xin, Zhou, Xiaoqiang, Huang, Huaibo, Chai, Zhenhua, Wei, Xiaolin, He, Ran. Free-Form Image Inpainting via Contrastive Attention Network. 2020, http://arxiv.org/abs/2010.15643.
[35] He Ran. GP-NAS: Gaussian Process based Neural Architecture Search. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR). 2020, [36] Zhu, Hao, Fu, Chaoyou, Wu, Qianyi, Wu, Wayne, Qian, Chen, He, Ran. AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection. 2020, http://arxiv.org/abs/2011.02674.
[37] He Ran. Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing. ACM International Conference on Multimedia. 2020, [38] Jiang, Wentao, Liu, Si, Gao, Chen, Cao, Jie, He, Ran, Feng, Jiashi, Yan, Shuicheng, IEEE. PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2020, 5193-5201, [39] He Ran. Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement. Proceedings of International Conference on Pattern Recognition. 2020, [40] He Ran. MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation. European Conference on Computer Vision (ECCV). 2020, [41] Ding, Yuhe, Ma, Xin, Luo, Mandi, Zheng, Aihua, He, Ran. Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. 2020, http://arxiv.org/abs/2011.04965.
[42] Zheng, Xin, Guo, Yanqing, Huang, Huaibo, Li, Yi, He, Ran. A Survey of Deep Facial Attribute Analysis. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2020, 128(8-9): 2002-2034, https://www.webofscience.com/wos/woscc/full-record/WOS:000521700000001.
[43] He, Ran, Wu, Xiang, Sun, Zhenan, Tan, Tieniu. Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2019, 41(7): 1761-1773, https://www.webofscience.com/wos/woscc/full-record/WOS:000470972300018.
[44] Liang, Jian, He, Ran, Sun, Zhenan, Tan, Tieniu, IEEE Comp Soc. Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 2970-2979, [45] Fu Chaoyou, Wu Xiang, Hu Yibo, Huang Huaibo, He Ran. Dual Variational Generation for Low-Shot Heterogeneous Face Recognition. 2019, http://arxiv.org/abs/1903.10203.
[46] Huang, Huaibo, He, Ran, Sun, Zhenan, Tan, Tieniu. Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2019, 127(6-7): 763-784, http://dx.doi.org/10.1007/s11263-019-01154-8.
[47] Song, Linsen, Cao, Jie, Song, Lingxiao, Hu, Yibo, He, Ran, AAAI. Geometry-Aware Face Completion and Editing. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 2506-2513, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485292602064.
[48] Li, Yi, Song, Lingxiao, Wu, Xiang, He, Ran, Tan, Tieniu. Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification. PATTERN RECOGNITION[J]. 2019, 90: 99-108, http://dx.doi.org/10.1016/j.patcog.2019.01.013.
[49] Fu Chaoyou, Song Liangchen, Wu Xiang, Wang Guoli, He Ran. Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. 2019, http://arxiv.org/abs/1809.02302.
[50] Li Peipei, Wu Xiang, Hu Yibo, He Ran, Sun Zhenan. M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis. 2019, http://arxiv.org/abs/1904.00168.
[51] He, Ran, Tan, Tieniu, Davis, Larry, Sun, Zhenan. Learning structured ordinal measures for video based face recognition. PATTERN RECOGNITION[J]. 2018, 75: 4-14, http://dx.doi.org/10.1016/j.patcog.2017.02.005.
[52] Song, Lingxiao, Zhang, Man, Wu, Xiang, He, Ran, AAAI. Adversarial Discriminative Heterogeneous Face Recognition. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 7355-7362, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488907056.
[53] Hu, Yibo, Wu, Xiang, Yu, Bing, He, Ran, Sun, Zhenan, IEEE. Pose-Guided Photorealistic Face Rotation. 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2018, 8398-8406, [54] Li, Yi, Song, Lingxiao, Wu, Xiang, He, Ran, Tan, Tieniu, AAAI. Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2018, 7057-7064, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485488907019.
[55] Li, Qi, Sun, Zhenan, He, Ran, Tan, Tieniu, Guyon, I, Luxburg, UV, Bengio, S, Wallach, H, Fergus, R, Vishwanathan, S, Garnett, R. Deep Supervised Discrete Hashing. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017)null. 2017, 30: [56] Fan Yanbo, He Ran, Liang Jian, Hu Baogang, AAAI. Self-Paced Learning: An Implicit Regularization Perspective. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 1877-1883, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630701128.
[57] Huang Rui, Zhang Shu, Li Tianyu, He Ran, IEEE. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2017, 2458-2467, [58] He Ran, Wu Xiang, Sun Zhenan, Tan Tieniu, AAAI. Learning Invariant Deep Representation for NIR-VIS Face Recognition. THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2017, 2000-2006, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485630702007.
[59] Huang, Huaibo, He, Ran, Sun, Zhenan, Tan, Tieniu, IEEE. Wavelet-SRNet: A Wavelet-based CNN for Multi-scale Face Super Resolution. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)null. 2017, 1698-1706, [60] Guo Jun, Guo Yanqing, Kong Xiangwei, Zhang Man, He Ran, AAAI. Discriminative Analysis Dictionary Learning. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 1617-1623, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474201092.
[61] Zhang Man, He Ran, Cao Dong, Sun Zhenan, Tan Tieniu, AAAI. Simultaneous Feature and Sample Reduction for Image-Set Classification. THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2016, 1401-1407, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000485474201062.
[62] He, Ran, Wang, Liang, Sun, Zhenan, Zhang, Yingya, Li, Bo. Information Theoretic Subspace Clustering. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2016, 27(12): 2643-2655, https://www.webofscience.com/wos/woscc/full-record/WOS:000388919600015.
[63] He, Ran, Zhang, Man, Wang, Liang, Ji, Ye, Yin, Qiyue. Cross-Modal Subspace Learning via Pairwise Constraints. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2015, 24(12): 5543-5556, http://ir.ia.ac.cn/handle/173211/10492.
[64] He, Ran, Zhang, Yingya, Sun, Zhenan, Yin, Qiyue. Robust Subspace Clustering With Complex Noise. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2015, 24(11): 4001-4013, http://ir.ia.ac.cn/handle/173211/8897.
[65] He, Ran, Cai, Yinghao, Tan, Tieniu, Davis, Larry. Learning predictable binary codes for face indexing. PATTERN RECOGNITION[J]. 2015, 48(10): 3160-3168, http://dx.doi.org/10.1016/j.patcog.2015.03.016.
[66] He, Ran, Tan, Tieniu, Wang, Liang. Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2014, 36(4): 770-783, https://www.webofscience.com/wos/woscc/full-record/WOS:000334109000011.
[67] He, Ran, Zheng, WeiShi, Tan, Tieniu, Sun, Zhenan. Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2014, 36(2): 261-275, https://www.webofscience.com/wos/woscc/full-record/WOS:000328899500005.
[68] He, Ran, Zheng, WeiShi, Hu, BaoGang, Kong, XiangWei. Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2013, 24(1): 35-46, https://www.webofscience.com/wos/woscc/full-record/WOS:000312844800004.
[69] He Ran. l(2,1) Regularized Correntropy for Robust Feature Selection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2012, 2504-2511, http://ir.ia.ac.cn/handle/173211/5409.
[70] He, Ran, Sun, Zhenan, Tan, Tieniu, Zheng, WeiShi, IEEE. Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2011, [71] He, Ran, Zheng, WeiShi, Hu, BaoGang, Kong, XiangWei. A Regularized Correntropy Framework for Robust Pattern Recognition. NEURAL COMPUTATION[J]. 2011, 23(8): 2074-2100, http://www.irgrid.ac.cn/handle/1471x/973576.
[72] He, Ran, Hu, BaoGang, Zheng, WeiShi, Kong, XiangWei. Robust Principal Component Analysis Based on Maximum Correntropy Criterion. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2011, 20(6): 1485-1494, http://www.irgrid.ac.cn/handle/1471x/973593.
[73] He, Ran, Zheng, WeiShi, Hu, BaoGang, Kong, XiangWei, IEEE. Nonnegative Sparse Coding for Discriminative Semi-supervised Learning. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2011, [74] He, Ran, Zheng, WeiShi, Hu, BaoGang. Maximum Correntropy Criterion for Robust Face Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2011, 33(8): 1561-1576, http://www.irgrid.ac.cn/handle/1471x/973586.
发表著作
(1) 基于信息理论的鲁棒模式识别, Robust recognition via information theoretic learning, Springer, 2014-07, 第 1 作者

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(1) 生物特征生成与安全理论和方法研究, 主持, 国家级, 2022-01--2025-12
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