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、青年促进会：李佳(2020)、梁坚(2021)、黄怀波(2022)）

081104-模式识别与智能系统
081203-计算机应用技术

模式识别,计算机视觉,机器学习, 深度学习

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

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

2025-01-01-2025-12-31,ACPR 2025, Program Chair
2024-01-01-2024-12-31,中国模式识别与计算机视觉大会, 程序委员会主席
2023-10-29-今,中国计算机学会(CCF第13届), 理事、会员代表
2023-09-15-2024-09-15,ICLR 2024, Area Chair
2023-01-30-2023-01-30,人民日报海外版, 规范深度合成技术 中国走在全球前列 (http://paper.people.com.cn/rmrbhwb/html/2023-01/30/content_25961880.htm)
2023-01-19-今,中国图象图形学学会, CSIG杰出会员(Distinguished Membership)
2023-01-01-今,IEEE Transaction on Biometrics, Behavior and Identity Science, 编委(Editor Board)
2023-01-01-今,ICML 2023, Area Chair
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
2022-10-15-2024-08-31,CVPR 2023/2024, 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-今,IEEE Transactions on Image Processing, 编委(Member of Editor Board)
2021-06-29-2022-11-29,NeurIPS 2021/2022/2023, Area Chair
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)
2019-08-02-2023-08-23,中国计算机学会(CCF第12届), 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

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

- 中国科学院优秀导师, 2022/2023 
- 中国科学院大学领雁奖, 2023 
- IEEE Biometrics Council Best Doctoral Dissertation Award (Chaoyou Fu), 2023
- Outstanding Editorial Board Member Award, IEEE TIP, 2023 
- 北京青年优秀科技论文、中国图象图形学报优秀论文, 生物特征识别学科发展报告, 2022 
- 北京市科学技术进步二等奖, 2021 
- 中国图象图形学学会自然科学一等奖, 2021 
- 安徽省计算机学会优秀硕士论文奖（联合培养）, 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

​

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。

[1] Huaibo Huang, Xiaoqiang Zhou, Ran He. Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization. NeurIPSnull. 2022, [2] Yu, Junchi, Xu, Tingyang, Rong, Yu, Huang, Junzhou, He, Ran. Structure-aware conditional variational auto-encoder for constrained molecule optimization. PATTERN RECOGNITION[J]. 2022, 126: http://dx.doi.org/10.1016/j.patcog.2022.108581.
[3] 贾耕云, 黄怀波, Chaoyou Fu, Ran He. Rethinking Image Cropping: Exploring Diverse Compositions from Global Views. Computer Vision and Pattern Recognitionnull. 2022, [4] Guan, Jiyang, Tu, Zhuozhuo, Ran He, Tao, Dacheng. Few-shot Backdoor Defense Using Shapley Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2022, http://arxiv.org/abs/2112.14889.
[5] Fu, Chaoyou, Wu, Xiang, Hu, Yibo, Huang, Huaibo, He, Ran. DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(6): 2938-2952, http://dx.doi.org/10.1109/TPAMI.2021.3052549.
[6] Song, Linsen, Wu, Wayne, Qian, Chen, He, Ran, Loy, Chen Change. Everybody's Talkin': Let Me Talk as You Want. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2022, 17: 585-598, http://dx.doi.org/10.1109/TIFS.2022.3146783.
[7] Guan, Jiyang, Liang, Jian, Ran He. Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPSnull. 2022, [8] Yu, Junchi, Cao, Jie, Ran He. Improving Subgraph Recognition with Variational Graph Information Bottleneck. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)null. 2022, [9] Liang, Jian, Hu, Dapeng, Feng, Jiashi, Ran He. DINE: Domain Adaptation from Single and Multiple Black-box Predictors. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)null. 2022, https://openaccess.thecvf.com/content/CVPR2022/html/Liang_DINE_Domain_Adaptation_From_Single_and_Multiple_Black-Box_Predictors_CVPR_2022_paper.html.
[10] Luo, Mandi, Wu, Haoxue, Huang, Huaibo, He, Weizan, He, Ran. Memory-Modulated Transformer Network for Heterogeneous Face Recognition. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2022, 17: 2095-2109, [11] 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.
[12] Fu, Chaoyou, Hu, Yibo, Wu, Xiang, Wang, Guoli, Zhang, Qian, He, Ran. High-Fidelity Face Manipulation With Extreme Poses and Expressions. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2021, 16: 2218-2231, http://dx.doi.org/10.1109/TIFS.2021.3050065.
[13] 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, http://dx.doi.org/10.1007/s11263-021-01432-4.
[14] 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.
[15] Hao Zhu, ManDi Luo, Rui Wang, AiHua Zheng, Ran He. Deep Audio-Visual Learning: A Survey. International Journal of Automation and Computing[J]. 2021, 18(3): 351-376, http://lib.cqvip.com/Qikan/Article/Detail?id=7104772584.
[16] Gege Gao, Huaibo Huang, Chaoyou Fu, Ran He. Information Bottleneck Disentanglement for Identity Swapping. CVPR[J]. 2021, [17] Ma, Xin, Zhou, Xiaoqiang, Huang, Huaibo, Chai, Zhenhua, Wei, Xiaolin, He, Ran, IEEE COMP SOC. Free-Form Image Inpainting via Contrastive Attention Network. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2021, 9242-9249, [18] 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.
[19] 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.
[20] 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, http://dx.doi.org/10.1007/s11263-020-01421-z.
[21] 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.
[22] 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.
[23] 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.
[24] He Ran. FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. CVPR. 2021, [25] 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 (TIFS)[J]. 2021, 16: 2341-2355, http://dx.doi.org/10.1109/TIFS.2021.3053460.
[26] Huaibo Huang, 于艾靖, Ran He. Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. CVPRnull. 2021, [27] 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, [28] Song, Linsen, Wu, Wayne, Fu, Chaoyou, Qian, Chen, Loy, Chen Change, He, Ran. Pareidolia Face Reenactment. 2021, [29] 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.
[30] 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.
[31] 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.
[32] 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.
[33] Peipei Li, Huaibo Huang, Hu, Yibo, Xiang Wu, Ran He. Hierarchical Face Aging through Disentangled Latent Characteristics. European Conference on Computer Vision (ECCV)[J]. 2020, [34] 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.
[35] He Ran. Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. International Conference on Pattern Recognition. 2020, [36] 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.
[37] Li, Zhihang, Hu, Yibo, He, Ran, Sun, Zhenan. Learning disentangling and fusing networks for face completion under structured occlusions. PATTERN RECOGNITION[J]. 2020, 99(1): http://dx.doi.org/10.1016/j.patcog.2019.107073.
[38] 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(1): 1394-1406, http://dx.doi.org/10.1109/TIFS.2019.2941800.
[39] 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.
[40] 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.
[41] 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.
[42] 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, [43] 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.
[44] 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.
[45] He Ran. GP-NAS: Gaussian Process based Neural Architecture Search. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR). 2020, [46] 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.
[47] 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, http://dx.doi.org/10.1007/s11263-020-01327-w.
[48] 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, http://dx.doi.org/10.1109/TPAMI.2019.2961900.
[49] 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.
[50] He Ran. Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing. ACM International Conference on Multimedia. 2020, [51] He Ran. Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement. Proceedings of International Conference on Pattern Recognition. 2020, [52] He Ran. MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation. European Conference on Computer Vision (ECCV). 2020, [53] 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, http://dx.doi.org/10.1109/CVPR42600.2020.00524.
[54] 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.
[55] 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, http://dx.doi.org/10.1007/s11263-020-01308-z.
[56] Li Qiaozhe, Zhao Xin, He Ran, Huang Kaiqi, AAAI. Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. 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, 8634-8641, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572503022.
[57] 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, http://dx.doi.org/10.1109/TPAMI.2018.2842770.
[58] Li, Qiaozhe, Zhao, Xin, He, Ran, Huang, Kaiqi, AAAI. Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. 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, 8634-8641, http://ir.ia.ac.cn/handle/173211/28374.
[59] Li, Peipei, Hu, Yibo, He, Ran, Sun, Zhenan. Global and Local Consistent Wavelet-Domain Age Synthesis. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2019, 14(11): 2943-2957, https://www.webofscience.com/wos/woscc/full-record/WOS:000474549100001.
[60] 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, [61] 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.
[62] Cao, Jie, Hu, Yibo, Yu, Bing, He, Ran, Sun, Zhenan. 3D Aided Duet GANs for Multi-View Face Image Synthesis. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2019, 14(8): 2028-2042, http://ir.ia.ac.cn/handle/173211/24595.
[63] Tieniu Tan, Jian Liang, Ran He, 孙哲南. Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Trans. Pattern Anal. Machine Intell.[J]. 2019, 41(5): 1027-1042, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000463607400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[64] Wang, Caiyong, He, Yong, Liu, Yunfan, He, Zhaofeng, He, Ran, Sun, Zhenan, IEEE. ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation. 2019 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB)null. 2019, [65] Fu, Chaoyou, Wu, Xiang, Hu, Yibo, Huang, Huaibo, He, Ran. Dual Variational Generation for Low Shot Heterogeneous Face Recognition. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019)[J]. 2019, 32: [66] Li, Peipei, Wu, Xiang, Hu, Yibo, He, Ran, Sun, Zhenan, IEEE. M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 10042-10050, [67] 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.
[68] Guo, Weikuo, Huang, Huaibo, Kong, Xiangwei, He, Ran, ACM. Learning Disentangled Representation for Cross-Modal Retrieval with Deep Mutual Information Estimation. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 1712-1720, http://dx.doi.org/10.1145/3343031.3351053.
[69] Liang, Jian, He, Ran, Sun, Zhenan, Tan, Tieniu. Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognition (PR)[J]. 2019, 96: http://dx.doi.org/10.1016/j.patcog.2019.106996.
[70] 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.
[71] 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.
[72] 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.
[73] 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.
[74] Li, Zhihang, Hu, Yibo, Zhang, Man, Xu, Min, He, Ran, IEEE. Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN. 2018 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB)null. 2018, 61-68, [75] Li Zhihang, Hu Yibo, Zhang Man, Xu Min, He Ran, IEEE. Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN. 2018 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB)null. 2018, 61-68, [76] Song Lingxiao, Lu Zhihe, He Ran, Sun Zhenan, Tan Tieniu, ACM. Geometry Guided Adversarial Facial Expression Synthesis. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 627-635, http://dx.doi.org/10.1145/3240508.3240612.
[77] 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.
[78] Hu Yibo, Song Lingxiao, Yu Bing, He Ran, Sun Zhenan, IEEE. Adversarial Embedding and Variational Aggregation for Video Face Recognition. 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON BIOMETRICS THEORY, APPLICATIONS AND SYSTEMS (BTAS)null. 2018, [79] Li Peipei, Hu Yibo, Li Qi, He Ran, Sun Zhenan, IEEE. Global and Local Consistent Age Generative Adversarial Networks. 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2018, 1073-1078, [80] Lu, Zhihe, Hu, Tanhao, Song, Lingxiao, Zhang, Zhaoxiang, He, Ran, ACM. Conditional Expression Synthesis with Face Parsing Transformation. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 1083-1091, http://dx.doi.org/10.1145/3240508.3240647.
[81] 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.
[82] Wu, Xiang, He, Ran, Sun, Zhenan, Tan, Tieniu. A Light CNN for Deep Face Representation With Noisy Labels. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY[J]. 2018, 13(11): 2884-2896, http://dx.doi.org/10.1109/TIFS.2018.2833032.
[83] 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.
[84] Guo, Weikuo, Liang, Jian, Kong, Xiangwei, Song, Lingxiao, He, Ran. X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. COMPUTER VISION - ACCV 2018, PT Vnull. 2018, 11365: 513-529, [85] 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, [86] Zhihe Lu, Ran He, Lingxiao Song, Zhenan Sun, Tieniu Tan. Geometry Guided Adversarial Facial Expression Synthesis. 2018, http://ir.ia.ac.cn/handle/173211/23533.
[87] Chen, Yujia, Song, Lingxiao, Hu, Yibo, He, Ran, IEEE. Adversarial Occlusion-aware Face Detection. 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON BIOMETRICS THEORY, APPLICATIONS AND SYSTEMS (BTAS)null. 2018, [88] Lingxiao Song, Tanhao Hu, Zhihe Lu, Ran He, 张兆翔. Conditional Expression Synthesis with Face Parsing Transformation. 2018, http://ir.ia.ac.cn/handle/173211/23532.
[89] Lu, Zhihe, Li, Zhihang, Cao, Jie, He, Ran, Sun, Zhenan, IEEE. Recent Progress of Face Image Synthesis. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2017, 7-12, http://dx.doi.org/10.1109/ACPR.2017.2.
[90] 赫然, 赫然, 卢治合. Person Identification from Lip Texture Analysis. 2017, http://ir.ia.ac.cn/handle/173211/19721.
[91] Lu, Zhihe, Li, Zhihang, Cao, Jie, He, Ran, Sun, Zhenan, IEEE. Recent Progress of Face Image Synthesis. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2017, 7-12, http://dx.doi.org/10.1109/ACPR.2017.2.
[92] 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: [93] Kao, Yueying, He, Ran, Huang, Kaiqi, IEEE. AUTOMATIC IMAGE CROPPING WITH AESTHETIC MAP AND GRADIENT ENERGY MAP. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)null. 2017, 1982-1986, [94] Li, Yi, Guo, Yanqing, Kao, Yueying, He, Ran. Image Piece Learning for Weakly Supervised Semantic Segmentation. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS[J]. 2017, 47(4): 648-659, https://www.webofscience.com/wos/woscc/full-record/WOS:000398966700007.
[95] Kao, Yueying, He, Ran, Huang, Kaiqi. Deep Aesthetic Quality Assessment With Semantic Information. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2017, 26(3): 1482-1495, http://dx.doi.org/10.1109/TIP.2017.2651399.
[96] 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, [97] Fan, Yanbo, He, Ran, Liang, Jian, Hu, Baogang. 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.
[98] Kaiqi Huang, He Ran, Huang Kaiqi, Yueying Kao. Automatic Image Cropping with Aesthetic Map and Gradient Energy Map. IEEE International Conference on Acoustics, Speech, and Signal Processing 2017null. 2017, http://ir.ia.ac.cn/handle/173211/14660.
[99] Ran He, Tieniu Tan, Zhenan Sun, Xiang Wu. Learning Invariant Deep Representation for NIR-VIS Face Recognition. 2017, http://ir.ia.ac.cn/handle/173211/19726.
[100] 赫然, Rui Huang, Shu Zhang, Tianyu Li. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis. Proc. of the IEEE International Conference on Computer Vision (ICCV)null. 2017, http://ir.ia.ac.cn/handle/173211/19705.
[101] Guo Jun, Guo Yanqing, Kong Xiangwei, He Ran, IEEE. UNSUPERVISED FEATURE SELECTION WITH ORDINAL LOCALITY. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2017, 1213-1218, [102] 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.
[103] Ran He, Yanbo Fan, Baogang Hu, Jian Liang. Self-Paced Learning: An Implicit Regularization Perspective. 2017, http://arxiv.org/abs/1606.00128.
[104] Hu Yibo, Wu Xiang, He Ran, IEEE. Attention-Set based Metric Learning for Video Face Recognition. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2017, 97-102, http://dx.doi.org/10.1109/ACPR.2017.43.
[105] Hu Yibo, Wu Xiang, He Ran, IEEE. Attention-Set based Metric Learning for Video Face Recognition. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2017, 97-102, http://dx.doi.org/10.1109/ACPR.2017.43.
[106] 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)[J]. 2017, 1698-1706, [107] Liu, Xiaoxiang, Sun, Xiaobo, He, Ran, Tan, Tieniu, Zhou, J, You, Z, Wang, Y, Sun, Z, Shan, S, Zheng, W, Feng, J, Zhao, Q. Recent Advances on Cross-Domain Face Recognition. BIOMETRIC RECOGNITIONnull. 2016, 9967: 147-157, [108] Xiangwei Kong, He Ran, Ying Li, Liang Jian, Dekui Ma, Jian Liang. Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. 2016, http://ir.ia.ac.cn/handle/173211/20126.
[109] 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.
[110] 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.
[111] Ma, Dekui, Liang, Jian, Kong, Xiangwei, He, Ran, Li, Ying. Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. PROCEEDINGS OF 2016 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM)null. 2016, 38-43, http://dx.doi.org/10.1109/ISM.2016.73.
[112] Ma, Dekui, Liang, Jian, Kong, Xiangwei, He, Ran. Frustratingly Easy Cross-Modal Hashing. MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCEnull. 2016, 237-241, http://dx.doi.org/10.1145/2964284.2967218.
[113] 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.
[114] 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.
[115] 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.
[116] 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.
[117] 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.
[118] 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.
[119] Yao, Wenjiao, He, Ran, Wang, Xiaoyang, Lin, Zheshuai, Chen, Chuangtian. Analysis of Deep-UV Nonlinear Optical Borates: Approaching the End. ADVANCED OPTICAL MATERIALSnull. 2014, 2(5): 411-417, https://www.webofscience.com/wos/woscc/full-record/WOS:000336061200001.
[120] Feng, Kai, Wang, Wendong, He, Ran, Kang, Lei, Yin, Wenlong, Lin, Zheshuai, Yao, Jiyong, Shi, Youguo, Wu, Yicheng. K2FeGe3Se8: A New Antiferromagnetic Iron Selenide. INORGANIC CHEMISTRY[J]. 2013, 52(4): 2022-2028, http://dx.doi.org/10.1021/ic302394e.
[121] Zhao, Sangen, Jiang, Xingxing, He, Ran, Zhang, Shuquan, Sun, Zhihua, Luo, Junhua, Lin, Zheshuai, Hong, Maochun. A combination of multiple chromophores enhances second-harmonic generation in a nonpolar noncentrosymmetric oxide: CdTeMoO6. JOURNAL OF MATERIALS CHEMISTRY C[J]. 2013, 1(16): 2906-2912, https://www.webofscience.com/wos/woscc/full-record/WOS:000316960300014.
[122] 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.
[123] Yin, Wenlong, He, Ran, Feng, Kai, Hao, Wenyu, Yao, Jiyong, Wu, Yicheng. Synthesis, structure, optical property, and electronic structure of Ba7AgGa5Se15. JOURNAL OF ALLOYS AND COMPOUNDS[J]. 2013, 565: 115-119, https://www.webofscience.com/wos/woscc/full-record/WOS:000317815300018.
[124] He, Ran, Huang, Hongwei, Kang, Lei, Yao, Wenjiao, Jiang, Xingxing, Lin, Zheshuai, Qin, Jingui, Chen, Chuangtian. Bandgaps in the deep ultraviolet borate crystals: Prediction and improvement. APPLIED PHYSICS LETTERS[J]. 2013, 102(23): https://www.webofscience.com/wos/woscc/full-record/WOS:000320622600032.
[125] Li, Kai, Zhang, Guochun, Guo, Shu, Zhang, Xin, He, Ran, Zhang, Jianxiu, Lin, Zheshuai, Wu, Yicheng. Linear and nonlinear optical properties of Na3La2(BO3)(3) crystal. OPTICS AND LASER TECHNOLOGY[J]. 2013, 54: 407-412, http://dx.doi.org/10.1016/j.optlastec.2013.06.030.
[126] He, Ran, Lin, Z S, Zheng, Tao, Huang, He, Chen, C T. Energy band gap engineering in borate ultraviolet nonlinear optical crystals: ab initio studies. JOURNAL OF PHYSICS-CONDENSED MATTER[J]. 2012, 24(14): http://dx.doi.org/10.1088/0953-8984/24/14/145503.
[127] Feng, Kai, Yin, Wenlong, He, Ran, Lin, Zheshuai, Jin, Shifeng, Yao, Jiyong, Fu, Peizhen, Wu, Yicheng. NaGe3P3: a new ternary germanium phosphide featuring an unusual Ge3P7 ring. DALTON TRANSACTIONS[J]. 2012, 41(2): 484-489, https://www.webofscience.com/wos/woscc/full-record/WOS:000298000000024.
[128] Yin, Wenlong, Feng, Kai, He, Ran, Mei, Dajiang, Lin, Zheshuai, Yao, Jiyong, Wu, Yicheng. BaGa(2)MQ(6) (M = Si, Ge; Q = S, Se): a new series of promising IR nonlinear optical materials. DALTON TRANSACTIONS[J]. 2012, 41(18): 5653-5661, https://www.webofscience.com/wos/woscc/full-record/WOS:000302737600028.
[129] 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.
[130] Lin, Z S, Kang, Lei, Zheng, Tao, He, Ran, Huang, He, Chen, C T. Strategy for the optical property studies in ultraviolet nonlinear optical crystals from density functional theory. COMPUTATIONAL MATERIALS SCIENCE[J]. 2012, 60: 99-104, http://dx.doi.org/10.1016/j.commatsci.2012.03.026.
[131] Mei, Dajiang, Yin, Wenlong, Lin, Zheshuai, He, Ran, Yao, Jiyong, Fu, Peizhen, Wu, Yicheng. Syntheses and characterization of two new selenides Ba5Al2Se8 and Ba5Ga2Se8. JOURNAL OF ALLOYS AND COMPOUNDS[J]. 2011, 509(6): 2981-2985, https://www.webofscience.com/wos/woscc/full-record/WOS:000287058100068.
[132] Huang, Hongwei, Yao, Jiyong, Lin, Zheshuai, Wang, Xiaoyang, He, Ran, Yao, Wenjiao, Zhai, Naixia, Chen, Chuangtian. Molecular Engineering Design to Resolve the Layering Habit and Polymorphism Problems in Deep UV NLO Crystals: New Structures in MM ' Be2B2O6F (M=Na, M '=Ca; M= K, M '=Ca, Sr). CHEMISTRY OF MATERIALS[J]. 2011, 23(24): 5457-5463, https://www.webofscience.com/wos/woscc/full-record/WOS:000298197300024.
[133] 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, [134] 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://dx.doi.org/10.1162/NECO_a_00155.
[135] 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.
[136] Cao, Zhenbo, Yue, Yinchao, Yao, Jiyong, Lin, Zheshuai, He, Ran, Hu, Zhanggui. Bi-2(IO4)(IO3)(3): A New Potential Infrared Nonlinear Optical Material Containing IO4(3-) Anion. INORGANIC CHEMISTRY[J]. 2011, 50(24): 12818-12822, https://www.webofscience.com/wos/woscc/full-record/WOS:000297782200061.
[137] 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, [138] 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.
[139] He, Ran, Lin, Z S, Lee, M H, Chen, C T. Ab initio studies on the mechanism for linear and nonlinear optical effects in YAl3(BO3)(4). JOURNAL OF APPLIED PHYSICS[J]. 2011, 109(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000292115900056.
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[141] He, Ran, Zu, LiDong, Yao, Peng, Chen, Xin, Wang, EnDuo. Two non-redundant fragments in the N-terminal peptide of human cytosolic methionyl-tRNA synthetase were indispensable for the multi-synthetase complex incorporation and enzyme activity. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS[J]. 2009, 1794(2): 347-354, http://dx.doi.org/10.1016/j.bbapap.2008.11.003.

（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

(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
(2) 异质人脸图像迁移技术合作项目, 主持, 院级, 2019-01--2019-12
(3) 基于对抗学习的视觉计算理论与方法研究, 主持, 省级, 2018-11--2021-12
(4) 对抗式图像模式分析理论与方法, 主持, 市地级, 2018-01--2020-12
(5) 多视角人脸图像合成技术合作项目, 主持, 院级, 2017-12--2018-11
(6) 基于深度学习的人脸超分辨率技术合作项目, 主持, 院级, 2017-11--2018-10
(7) 对抗生成网络及在视觉中的应用, 主持, 省级, 2017-08--2018-10
(8) 视觉大数据透彻感知特征学习方法, 主持, 国家级, 2016-07--2020-06
(9) 图像分析与模式识别, 主持, 国家级, 2017-01--2019-12
(10) 基于结构约束的多模态学习理论和方法, 主持, 国家级, 2015-01--2018-12
(11) 基于非凸共轭函数的鲁棒学习理论和方法研究, 主持, 国家级, 2012-01--2014-12
(12) 鲁棒非负稀疏表示方法及应用研究, 主持, 国家级, 2010-01--2012-12