General


Curriculum Vitae

Office Address:

National Laboratory of Pattern Recognition (NLPR)

Institute of Automation, Chinese Academy of Sciences (CASIA)

No.95 ZhongGuanCun East St, HaiDian District

Beijing, P.R.China, 100190

Tel: +86-10-82544641, Fax: +86-10-82544485

Email: rhe[at]nlpr.ia.ac.cn 

Education:

CASIA, NLPR: Ph.D. (2009), majors in Pattern Recognition and Intelligent System

Dalian University of Technology, B.S. (2001), S.M. (2004), majors in Computer Science.

Professional Appointments:

2016- Professor, NLPR, Institute of Automation, Chinese Academy of Sciences.

2015- Professor, CAS Center for Excellence in Brain Science and Intelligence Technology.

2015- Professor, University of Chinese Academy of Sciences.

2014- Project Professor, NLPR, Institute of Automation, Chinese Academy of Sciences.

2011- Associate Professor, NLPR, Institute of Automation, Chinese Academy of Sciences.

2010–2011 Assistant Professor, NLPR, Institute of Automation, Chinese Academy of Sciences.

2009–2010 Assistant Professor, Department of Computer Science, Dalian University of Technology.

2004-2005 Software Engineer, Institute of Software, Chinese Academy of Sciences.

Research Interests

My research is the area of information theoretic learning, computer vision, image processing, pattern

recognition, and machine learning.


Book

Ran He, Baogang Hu, Xiaotong Yuan, and Liang Wang. Robust Recognition via Information Theoretic

Learning. SpringerBriefs in Computer Science, 2014.

Selected Journal Publications:

[1] Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan. Wasserstein CNN: Learning Invariant Features for NIRVIS Face Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, 2019, 41(7): 1761-1773.

[2] Ran He, Tieniu Tan, Larry Davis, Zhenan Sun. Learning Structured Ordinal Measures for Video based

Face Recognition, Elsevier Pattern Recognition, 2018, 75:4-14.

[3] Ran He, Liang Wang, Zhenan Sun, Yingya Zhang, Bo Li. Information Theoretic Subspace Clustering.

IEEE Transactions on Neural Network and Learning System, 2016, 27(12): 2643-2655.

[4] Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin. Cross-Modal Subspace Learning via Pairwise

Constraints. IEEE Transactions on Image Processing, 2015, 24(12): 5543-5556.

[5] Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin. Robust Subspace Clustering with Complex Noise. IEEE

Transactions on Image Processing, 2015, 24(11): 4001-4013.

[6] Ran He, Yinghao Cai, Tieniu Tan, Larry Davis. Learning Predictable Binary Codes for Face Indexing.

Elsevier Pattern Recognition, 2015, 48(10): 3160-3168.

[7] Ran He, Tieniu Tan, Liang Wang. Recovery of Corrupted Low-rank Matrix by Implicit Regularizers.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(4): 770-783.

[8] Ran He, Wei-Shi Zheng,Tieniu Tan, Zhenan Sun. Half-quadratic based Iterative Minimization for Robust

Sparse Representation. IEEE Trans. Pattern Analysis and Machine Intelligence, 2014, 36(2): 261-275.

[9] Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong. Two-stage Nonnegative Sparse Representation

for Large-scale Face Recognition. IEEE Transactions on Neural Network and Learning System, 2013,

24(1): 35-46.

[10] Ran He, Wei-Shi Zheng, Bao-Gang Hu. Maximum Correntropy Criterion for Robust Face Recognition.

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1561-1576.

Selected Conference Papers:

[11] Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan. Learning invariant deep representation for NIR-VIS face 

recognition. In Proc. AAAI Conference on Artificial Intelligence, 2017:2000-2006.

[12] Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng. L21 Regularized Correntropy for Robust Feature

Selection. In Proc. IEEE Computer Vision and Pattern Recognition, 2012: 2504-2511.

[13] Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng. Recovery of Corrupted Low-Rank Matrices via

Half-Quadratic based Non-convex Minimization. In Proc. IEEE Computer Vision and Pattern Recognition,

2011: 2889-2896.

[14] Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong. Nonnegative Sparse Coding for Discriminative

Semi-supervised Learning. In Proc. IEEE Computer Vision and Pattern Recognition, 2011: 2849-2856.

[15] Ran He, B.-G. Hu, W.-S. Zheng, Y.-Q. Guo. Two-stage Sparse Representation for Robust Recognition on

Large-scale Database. In Proc. AAAI Conference on Artificial Intelligence, 2010: 475-480.

Tutorials and talks

1. Sino-European Workshop on Information Science and Technology: Information theoretic foundation for

robust pattern recognition, Beijing, Sep.,2016

2. International Forum on Advanced Visual Computing: Robust pattern recognition via information theory.

Hangzhou, July, 2016.

3. Summer school on Pattern Recognition and Human Centered Robotics: Robust pattern recognition via

information theory. Beijing, June, 2015.

4. ICCV Tutorial: Sparsity Estimation and Robust Learning: A Half-quadratic Minimization View, Sydney,

Australia, Dec., 2013.

5. ACCV Tutorial: Half-quadratic (HQ) Optimization for Computer Vision, Taejon, Korea, Nov., 2012.

6. ICPR Tutorial: HQ Optimization for Sparsity Estimation and Robust Learning, Tsukuba, Japan, Nov., 2012.

7. Canon Information Technology Tutorial: Compressed Sensing via HQ minimization, China, June, 2012.

8. Princeton University. Sparsity Estimation and Robust Learning, Princeton, USA, Nov., 2013.

9. Rensselaer Polytechnic Institute. Sparsity Estimation and Robust Learning, Troy, NY, USA, Sep., 2013.

10.The University of Maryland. Sparsity Estimation and Robust Learning, College Park, MD,USA, Sep., 2013.

11. Asian Biometrics Consortium: Recent Progress of Biometrics Research at CASIA, Jeju, Korea, Nov., 2012.


Professional Services and Societies:

Leading guest editor, special issue on ubiquitous biometrics, Pattern Recognition, 2017.

Editorial board member, IET Image Processing, 2013-

Editorial board member, Neurocomputing, 2012-

Program Committee Chair, Chinese Conference on Biometric Recognition, 2019.

Publication/Area Chair, International Conference on Pattern Recognition, 2018.

Program Committee Chair, Conference on Application of Image and Graphics Technology, 2016/2017/2018.

Publication Chair, International Conference on Digital Signal Processing, 2016.

Area Chair, International Conference on Pattern Recognition, 2012.

Publication Chair, the 7th Chinese Conference on Biometric Recognition, 2012.

Session Chair, International Conference on Pattern Recognition, 2012.

Local Arrangement Chair, IEEE Advanced Video and Signal-Based Surveillance, 2012.

Organizing Committee Chair, the 6th Chinese Conference on Biometric Recognition, 2011.

Publication Chair, IEEE Int. Conf. on Computational Science and Engineering, 2010.

Session Chair, IEEE Youth Conf. on Information, Computing and Telecommunications, 2010.


Awards

IAPR/IEEE ICB Honorable Mention Paper Award, ScleraSegNet: An Improved U-Net Model with Attention

for Accurate Sclera Segmentation, 2019

The Beijing Science Fund for Distinguished Young Scholars, 2018

NSFC for Excellent Young Scientist Programme, 2016

IEEE ISM Best Paper Candidate, Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval, 2016

Second Prize of Wu Wenjun Artificial Intelligence Science and Technology Innovation Award, 2015

First Prize of Beijing Outstanding Youth Paper Award, 2015

ACM Beijing Rising Star Award, 2015.

Microsoft Research Asia Star Track Visiting Young Faculty Programme, 2015.

The Member of CAS Youth Innovation Promotion Association, 2015

GUCAS Lu Jiaxi Young Talent Award, 2014.

ACPR Best Poster Award. Robust Low-Rank Representation via Correntropy, 2013.

Second Prize of DaLian Best Paper Award of Science, 2010.


Other Refereed Journal Publications:

[1] Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. Recurrent Prediction with Spatio-temporal Attention for

Crowd Attribute Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 2019.

[2] Peipei Li, Yibo Hu, Ran He, Zhenan Sun. Global and Local Consistent Wavelet-domain Age Synthesis.

IEEE Transactions on Information Forensics and Security, preprint, 2019.

[3] Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan. Wavelet Domain Generative Adversarial Network for

Multi-scale Face Hallucination. International Journal of Computer Vision, 2019, 127(6-7): 763-784.

[4] Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun. 3D Aided Duet GANs for Multi-view Face Image

Synthesis. IEEE Transactions on Information Forensics and Security, 2019, 14(8): 2028-2042.

[5] Jian Liang, Ran He, Zhenan Sun, Tieniu Tan. Aggregating Randomized Clustering-Promoting Invariant

Projections for Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence

(TPAMI), 2019, 41(5): 1027-1042.

[6] Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan. Learning a bi-level adversarial network with global

and local perception for makeup-invariant face verification. Pattern Recognition, 2019, 90:99-108.

[7] Xiang Wu, Ran He, Zhenan Sun, Tieniu Tan. A Light CNN for Deep Face Representation with Noisy

Labels, IEEE Transactions on Information Forensics and Security, 2018, 13(11): 2884-2896.

[8] Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan. DeMeshNet: Blind Face Inpainting for Deep MeshFace

Verification. IEEE Transactions on Information Forensics and Security, 2018,13(3): 637-647.

[9] Dong Wang, Ran He, Liang Wang, Tieniu Tan. Robust Linear Representation via Exploiting Structure

Prior. Pattern Recognition, 2018, 76: 560-568.

[10] Yueying Kao, Ran He, Kaiqi Huang. Deep Aesthetic Quality Assessment with Semantic Information.

IEEE Transactions on Image Processing, 2017, 26(3): 1482-1495.

[11] Yi Li, Yanqing Guo, Yueying Kao, Ran He. Image Piece Learning for Weakly Supervised Semantic

Segmentation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(4): 648-659.

[12] Dekui Ma, Jian Liang, Ran He, Xiangwei Kong. Nonlinear Discrete Cross-Modal Hashing for

Visual-Textual Data. IEEE MultiMedia, 2017, 24(2): 56-65.

[13] Kaiye Wang, Ran He, Liang Wang, Wei Wang, Tieniu Tan. Joint Feature Selection and Subspace

Learning for Cross-modal Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence

(TPAMI), 2016, 38(10): 2010-2023.

[14] Qi Li, Zhenan Sun, Zhouchen Lin, Ran He, Tieniu Tan. Transformation Invariant Subspace Clustering.

Pattern Recognition, 2016, 59: 142-155.

[15] Shu Zhang, Jian Liang, Ran He, Zhenan Sun. Code Consistent Hashing based on Information-theoretic

Criterion. IEEE Transactions on Big Data, 2015, 1(3): 84-94.

[16] Qiyue Yin, Shu Wu, Ran He, Liang Wang. Multi-view Clustering via Pairwise Sparse Subspace

Representation. Neurocomputing, 2015.

[17] Zhenhua Chai, Zhenan Sun, Heydi Mendez Vazquez, Ran He, Tieniu Tan: Gabor Ordinal Measures for

Face Recognition. IEEE Transactions on Information Forensics and Security, 2014, 9(1): 14-26.

[18] Zhenhua Chai, Heydi Mendez-Vazquez, Ran He, Zhenan Sun and Tieniu Tan. Explore Semantic Pixel

Sets based Local Patterns with Information Entropy for Face Recognition. EURASIP Journal on Image

and Video Processing, 2014, 26.

[19] Ran He, Xiaotong Yuan and Weishi Zheng. A Fast Convex Conjugated Algorithm for Sparse Recovery.

Neurocomputing, 2013, 115: 178-185.

[20] Yanqing Guo, Ran He, Weishi Zheng. Xiangwei Kong, Zhaofeng He. Robust Spectral Regression for

Face Recognition. Neurocomputing, 2013, 118: 33–40.

[21] Wei-Shi Zheng Jian-Huang Lai, Shengcai Liao, and Ran He. Extracting Non-negative Basis Images Using

Pixel Dispersion Penalty. Pattern Recognition (PR), 2012, 45(8): 2912-2926.

[22] Xiaotong Yuan, Baogang Hu and Ran He. Agglomerative Mean-Shift Clustering. IEEE Transactions on

Knowledge and Data Engineering, 2012, 24(2): 209 - 219.

[23] Nanhai Yang, Ran He, Wei-Shi Zheng, and Xiukun Wang. Robust Large Margin Discriminant Tangent

Analysis for Face Recognition. Neural Computing and Applications, 2012, 21(2): 269–279.

[24] Ran He, Wei-Shi Zheng, and Bao-Gang Hu, Xiangwei Kong. A Regularized Correntropy Framework for

Robust Pattern Recognition. MIT Neural Computation, 2011, 23(8): 2074-2100.

[25] Ran He, Bao-Gang Hu, Wei-Shi Zheng, Xiangwei Kong. Robust Principal Component Analysis Based on

Maximum Correntropy Criterion. IEEE Transactions on Image Processing, 2011, 20(6): 1485-1494.

[26] Ran He, Baogang Hu, XiaoTong Yuan, WeiShi Zheng. Principal Component Analysis Based on

Nonparametric Maximum Entropy. Neurocomputing, 2010, 73:1840-1952.

[27] Bao-Gang Hu, Ran He, Xiaotong Yuan. Information-Theoretic Measures for Objective Evaluation of

Classifications. Chinese Acta Automatica Sinica, 2012, 38(7): 1169-1182.

[28] Nan-Hai Yang, Mingming Huang, Ran He, and Xiu-Kun Wang. Robust Semi-supervised Learning

Algorithm based on Maximum Correntropy Criterion. Chinese Journal of Software, 2012, 23(2):279-288.

[29] Nanhai Yang, Yuanyuan Sang, Ran He, and Xiukun Wang. Nonnegative Sparse Representation for Label

Propagation Algorithm. Chinese Journal of Dalian University of Technology, 2011, 52(2): 264-271.

[30] Ran He, Yong-Ji Wang, Qing Wang, Jin-Hui Zhou. An Improved Particle Swarm Optimization Based on

Self-Adaptive Escape Velocity. Chinese Journal of Software, 16(12), 2005: 2036-2044.

[31] Ran He, Xiu-kun Wang, Yi-ou Wang, Zhi Zeng. Integrity constraints of distributed database in massive

data collection. Chinese Journal of Dalian University of Technology, 2003, 43 (z1), 190-192.

[32] Xiu-kun Wang, Ran He, Xiao-feng Zhang. Improvement of Genetic Algorithm with Best Elitist Preserved

Method, Mini-Micro Systems (Chinese), 2005, 26(5):833-835

[33] Qiang Li, Xiu-kun Wang, Ran He, Fan-Hui Meng, Yi-Yuan Tang. A New Aggregation Query Algorithm

for Distributed Data Warehouse, Computer Engineering (Chinese), 2006, 32(4):91-93

[34] Fan-Hui Meng, Xiu-kun Wang, Ran He, Yi-Yuan Tang. An Improved Dissipative Particle Swarm

Optimization. Computer Engineering and Applications (Chinese), 2005, 41(12), 34-36

[35] Yi-ou Wang, Xiu-kun Wang, Ran He, Fan-Hui Meng. An Improved Aggregation Algorithm for Online

Analytical Processing. Computer Engineering (Chinese), 2005, 31(2), 77-79


Other Refereed Conference Papers:

[36] Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan. Cosmetic-Aware Makeup Cleanser. IEEE

International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2019.

[37] Jianze Wei, Yunlong Wang, Xiang Wu, Zhaofeng He, Ran He, Zhenan Sun. Cross-sensor iris recognition

using adversarial strategy and sensor-specific information. IEEE International Conference on Biometrics:

Theory, Applications, and Systems (BTAS), 2019.

[38] Jian Liang, Ran He, Zhenan Sun, Tieniu Tan. Distant Supervised Centroid Shift: A Simple and Efficient

Approach to Visual Domain Adaptation. In Proc. IEEE Computer Vision and Pattern Recognition, 2019.

[39] Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He. Neurons Merging Layer: Towards

Progressive Redundancy Reduction for Deep Supervised Hashing. In Proc. International Joint Conference

on Artificial Intelligence, 2019.

[40] Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. Pedestrian Attribute Recognition by Joint Visual-semantic

Reasoning and Knowledge Distillation. In Proc. International Joint Conference on Artificial Intelligence,

2019.

[41] Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He. Pose-preserving Cross Spectral Face Hallucination. In

Proc. International Joint Conference on Artificial Intelligence, 2019.

[42] Xiang Wu, Huaibo Huang, Vishal Patel, Ran He, Zhenan Sun. Disentangled Variational Representation

for Heterogeneous Face Recognition. In Proc. AAAI Conference on Artificial Intelligence, 2019.

[43] Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He. Geometry-Aware Face Completion and Editing.

In Proc. AAAI Conference on Artificial Intelligence, 2019.

[44] Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. Visual-semantic Graph Reasoning for Pedestrian Attribute

Recognition. In Proc. AAAI Conference on Artificial Intelligence, 2019.

[45] Caiyong Wang, Yong He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun. ScleraSegNet: An Improved 

U-Net Model with Attention for Accurate Sclera Segmentation. International Conference on

Biometrics,2019.

[46] Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, and Ran He. X-GACMN: An X-Shaped

Generative Adversarial Cross-Modal Network with Hypersphere Embedding. In Proc. Asian Conference

on Computer Vision (ACCV), 2018.

[47] Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan. IntroVAE: Introspective Variational

Autoencoders for Photographic Image Synthesis. In Proc. Conference on Neural Information Processing

Systems (NIPS), 2018.

[48] Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun. Learning a High Fidelity Pose Invariant Model

for High-resolution Face Frontalization. In Proc. Conference on Neural Information Processing Systems

(NIPS), 2018.

[49] Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan. Geometry Guided Adversarial Facial

Expression Synthesis. In ACM International Conference on Multimedia, 2018.

[50] Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhao-xiang Zhang, Ran He. Conditional Expression Synthesis with

Face Parsing Transformation. In ACM International Conference on Multimedia, 2018.

[51] Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon

Hong. An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation. In Proc.

International Joint Conference on Artificial Intelligence, 2018.

[52] Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun. Pose-Guided Photorealistic Face Rotation. In Proc.

IEEE Computer Vision and Pattern Recognition, 2018.

[53] Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan. Anti-Makeup: Learning a Bi-Level Adversarial

Network for Makeup-Invariant Face Verification. In AAAI Conference on Artificial Intelligence, 2018.

[54] Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan. Coupled Deep Learning for Heterogeneous Face

Recognition. In Proc. AAAI Conference on Artificial Intelligence, 2018.

[55] Lingxiao Song, Man Zhang, Xiang Wu, Ran He. Adversarial Discriminative Heterogeneous Face

Recognition. In Proc. AAAI Conference on Artificial Intelligence, 2018.

[56] Wei Wang, Hao Wang, Zhiyong Ran, Ran He. Information-Theoretic Domain Adaptation under Severe

Noise Conditions. In Proc. AAAI Conference on Artificial Intelligence, 2018.

[57] Yibo Hu, Lingxiao Song, Bing Yu, Ran He, Zhenan Sun. Adversarial Embedding and Variational

Aggregation for Video Face Recognition. In Proc. International Conference on Biometrics: Theory,

Applications, and Systems, 2018.

[58] Yujia Chen, Lingxiao Song, Yibo Hu, Ran He. Adversarial Occlusion-aware Face Detection. In Proc.

International Conference on Biometrics: Theory, Applications, and Systems, 2018.

[59] Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun. Global and Local Consistent Age Generative Adversarial

Networks. In Proc. International Conference on Pattern Recognition, 2018.

[60] Zhihang Li, Yibo Hu, Man Zhang, Min Xu, Ran He. Protecting Your Faces: MeshFaces Generation and

Removal via High-order Relation-preserving CycleGAN. In Proc. IAPR International Conference on

Biometrics, 2018.

[61] Jianze Wei, Jian Liang, Ran He, Jinfeng Yang. Learning Discriminative Geodesic Flow Kernel for

Unsupervised Domain Adaptation. IEEE International Conference on Multimedia and Expo, 2018.

[62] Qi Li, Zhenan Sun, Ran He, Tieniu Tan. Deep Supervised Discrete Hashing. In Proc. Conference on

Neural Information Processing Systems (NIPS), 2017.

[63] Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan. Wavelet-SRNet: A Wavelet-based CNN for Multi-scale

Face Super Resolution. In Proc. International Conference on Computer Vision (ICCV), 2017.

[64] Rui Huang, Shu Zhang, Tianyu Li, Ran He. Beyond Face Rotation: Global and Local Perception GAN for

Photorealistic and Identity Preserving Frontal View Synthesis. In Proc. International Conference on

Computer Vision (ICCV), 2017.

[65] Yanbo Fan, Ran He, Jian Liang, Baogang Hu. Self-Paced Learning: An Implicit Regularization

Perspective. In Proc. AAAI Conference on Artificial Intelligence, 2017:1877-1883.

[66] Yueying Kao, Ran He, Kaiqi Huang. Automatic Image Cropping with Aesthetic Map and Gradient

Energy Map. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, 2017.

[67] Jun Guo, Yanqing Guo, Xiangwei Kong, Ran He. Unsupervised Feature Selection with Ordinal Locality.

In Proc. IEEE International Conference on Multimedia and Expo, 2017.

[68] Chaoyou Fu, Xiang Wu, Jing Dong, Ran He. Global Perception Feedback Convolutional Neural Networks.

In: Advances in Image and Graphics Technologies, 2017.

[69] Qi Li, Ran He, Zhenan Sun, Tieniu Tan. Fast Multi-view Face Alignment via Multi-task Auto-encoders.

In Proc. International Joint Conference on Biometrics, 2017.

[70] Zhihe Lu, Zhihang Li, Jie Cao, Ran He and Zhenan Sun. Recent Progress of Face Image Synthesis. In

Proc. Asian Conference on Pattern Recognition (ACPR), 2017.

[71] Yibo Hu, Xiang Wu and Ran He. Attention-Set based Metric Learning for Video Face Recognition. In

Proc. Asian Conference on Pattern Recognition (ACPR), 2017.

[72] Jian Liang, Ran He, Zhenan Sun and Tieniu Tan. Group-Invariant Cross-Modal Subspace Learning. In

Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2016.

[73] Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang. Self-Paced Cross-Modal Subspace Matching.

In Proc. ACM conference on Special Interest Group on Information Retrieval (SIGIR), 2016.

[74] Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan. Simultaneous Feature and Sample Reduction

for Image-set Classification. In Proc. AAAI Conference on Artificial Intelligence, 2016: 1401-1407.

[75] Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang and Ran He. Discriminative Analysis Dictionary

Learning. In Proc. AAAI Conference on Artificial Intelligence, 2016: 1617-1623.

[76] Dekui Ma, Jian Liang, Xiangwei Kong and Ran He. Frustratingly Easy Cross-Modal Hashing. In Proc.

ACM Multimedia (ACMMM) Conference, 2016.

[77] Dekui Ma, Jian Liang, Xiangwei Kong, Ran He. Discrete Cross-Modal Hashing for Efficient Multimedia

Retrieval. IEEE International Symposium on Multimedia, 2016. [Best Paper Candidate]

[78] Wenkai Dong, Shu Zhang, Ran He. Digital recognition from lip texture analysis. In Proc. International

Conference on Digital Signal Processing (DSP), 2016.

[79] Zhihe Lu, Xiang Wu, Ran He. Person Identification from Lip Texture Analysis. In Proc. International

Conference on Digital Signal Processing (DSP), 2016.

[80] Jie Cao, Haiqing Li, Zhenan Sun, Ran He. Accurate mouth state estimation via convolutional neural

networks. In Proc. International Conference on Digital Signal Processing (DSP), 2016.

[81] Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu and Liang Wang. Localize Heavily Occluded

Human Faces via Deep Segmentation. In Proc. International Conference on Image Processing, 2016.

[82] Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan. Multi-task ConvNet for Blind Face Inpainting with

Application to Face Verification. International Conference on Biometrics (ICB), 2016

[83] Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong and Ran He. Topology Preserving Dictionary

Learning for Pattern Classification. In Proc. International Joint Conference on Neural Networks, 2016.

[84] Linlin Cao, Ran He and Baogang Hu. Locally Imposing Function for Generalized Constraint Neural

Networks - A Study on Equality Constraints. In Proc. International Joint Conference on Neural Networks

(IJCNN), 2016.

[85] Xiaoxiang Liu, Xiaobo Sun, Ran He, and Tieniu Tan. Recent Advances on Cross-Domain Face

Recognition. In Proc. Chinese Conference on Biometric Recognition (CCBR), 2016.

[86] Lingxiao Song, Man Zhang, Qi Li, Ran He, Zhenan Sun. Float Greedy-search-based Subspace Clustering.

In Proc. Asian Conference on Pattern Recognition (ACPR), 2015.

[87] Shu Zhang, Man Zhang, Qi Li, Tieniu Tan, Ran He. Supervised Topology Hashing. In Proc. Asian

Conference on Pattern Recognition (ACPR), 2015.

[88] Dong Wang, Ran He, Liang Wang, Tieniu Tan. Adaptive Multi-view Clustering via Cross Trace Lasso. In

Proc. Asian Conference on Pattern Recognition (ACPR), 2015.

[89] Yanbo Fan, Ran He, Baogang Hu. Global and Local Consistent Multi-view Subspace Clustering. In Proc.

Asian Conference on Pattern Recognition (ACPR), 2015.

[90] Dong Cao, Ran He, Zhenan Sun, Tieniu Tan. Joint Space Learning for Video-based Face Recognition. In

Proc. Asian Conference on Pattern Recognition (ACPR), 2015.

[91] Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan. Principal Affinity based Cross-Modal Retrieval.

Asian Conference on Pattern Recognition (ACPR), 2015.

[92] Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan. Multi-view clustering via structured low-rank

representation. In Proc. International Conference on Information and Knowledge Management, 2015.

[93] Kaiye Wang, Wei Wang, Liang Wang, Ran He. A Two-step Approach to Cross-modal Hashing. In Proc.

ACM International Conference on Multimedia Retrieval (ICMR), 2015.

[94] Lingxiao Song, Jian Liang, Man Zhang, Zhenan Sun, Ran He. Two-Step Greedy Subspace Clustering. In

Proc. Pacific-Rim Conference on Multimedia (PCM), 2015

[95] Dong Cao, Man Zhang, Ran He, Zenan Sun, Tieniu Tan. Real-World Gender Recognition Using 

Multi-order LBP and Localized Multi-Boost Learning. In Proc. IEEE International Conference on Identity,

Security and Behavior Analysis (ISBA), 2015.

[96] Guangxiao Zhang, Ran He, Larry Davis. Jointly Learning Dictionaries and Subspace Structure for

Video-based Face Recognition. In Proc. Asian Conference on Computer Vision (ACCV), 2014.

[97] Dong Wang, Qiyue Yin, Ran He, Liang Wang and Tieniu Tan. Semi-Supervised Subspace Segmentation.

In Proc. International Conference on Image Processing (ICIP), 2014.

[98] Shu Zhang, Man Zhang, Ran He and Zhenan Sun. Transform-Invariant Dictionary Learning For Face

Recognition. In Proc. International Conference on Image Processing (ICIP), 2014.

[99] Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan. Learning Coupled Feature Spaces for

Cross-modal Matching. In Proc. International Conference on Computer Vision (ICCV), 2013.

[100] Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan. Robust Subspace Clustering via Half-Quadratic

Minimization. In Proc. International Conference on Computer Vision (ICCV), 2013.

[101] Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan. Robust Low-Rank Representation via

Correntropy. In Proc. IAPR Asian Conference on Pattern Recognition (ACPR), 2013. [Best Poster

Award]

[102] Qi Li, Zhenan Sun, Ran He, Tieniu Tan. Joint Alignment and Clustering via Low-Rank

Representation. In Proc. Asian Conference on Pattern Recognition (ACPR), 2013.

[103] Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan. Margin Based Feature Selection for Cross-Sensor Iris

Recognition via Linear Programming. In Proc. Asian Conference on Pattern Recognition (ACPR), 2013.

[104] Kaiye Wang, Wei Wang, Ran He, Liang Wang, Tieniu Tan. Multi-modal Subspace Learning with

Joint Graph Regularization for Cross-modal Retrieval. Asian Conference on Pattern Recognition, 2013.

[105] Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan. Coupled Feature Selection for Cross-sensor Iris

Recognition. In Proc. Biometrics: Theory, Applications and Systems (BTAS), 2013.

[106] Qi Li, Zhenan Sun, Ran He and Tieniu Tan. Learning Symmetry Features for Face Detection Based

on Sparse GroupLasso. Chinese Conference on Biometric Recognition (CCBR), 2013.

[107] Zhenhua Chai, Ran He, Zhenan Sun, Tieniu Tan, Heydi Mendez-Vazquez. Histograms of Gabor

Ordinal Measures for Face Representation and Recognition. In Int. Conf. on Biometrics (ICB), 2012.

[108] Zhenhua Chai, Heydi Mendez, Ran He, Zhenan Sun, Tieniu Tan. Semantic Pixel Sets based Local

Binary Patterns for Face Recognition. In Proc. Asian Conference on Computer Vision (ACCV), 2012.

[109] Yanqing Guo, Ran He, Weishi Zheng and Xiangwei Kong. Active Shape Model Based on Sparse

Representation. In Proc. Chinese Conference on Biometric Recognition (CCBR), 2012.

[110] Qiyue Yin, Rong Sun, Liang Wang and Ran He. Structure Sparsity for Multi-camera Gait

Recognition. In Proc. Chinese Conference on Pattern Recognition (CCBR), 2012: 94–103.

[111] Libo Hou and Ran He. Minimum Entropy Linear Embedding Based on Gaussian Mixture Model. In

Proc. Asian Conference on Pattern Recognition (ACPR), 2011.

[112] Shuai Zheng, Kaiqi Huang, Tieniu Tan, Ran He, Junge Zhang. Robust View Transformation Model

for Gait Recognition. In Proc. International Conference on Image Processing (ICIP), 2011.

[113] Ran He, Nanhai Yang, Xiukun Wang, Guo-Zhen Tan: Direct Sparse Nearest Feature Classifier for

Face Recognition. In Proc. LSMS/ICSEE, 2010: 386-394

[114] Nanhai Yang, Yuanyuan Sang, Ran He, Xiukun Wang: Label Propagation Algorithm Based on

Non-negative Sparse Representation. In Proc. LSMS/ICSEE 2010: 348-357.

[115] Nanhai Yang, Mingming Huang, Ran He, Xiukun Wang: Robust Semi-supervised Learning for

Biometrics. In Proc. LSMS/ICSEE, 2010: 466-476.

[116] Ran He, Bao-Gang Hu and Xiao-Tong Yuan. Robust Discriminant Analysis Based on

Nonparametric Maximum Entropy. In Proc. Asian Conference on Machine Learning (ACML), 2009.

[117] Xiaotong Yuan, Baogang Hu and Ran He. Improved Mean-Shift Clustering via Query Set

Compression. In Proc. SIAM International Conference on Data Mining (SDM), 2009.

[118] Ran He, Wei-Shi Zheng, Meng Ao, S.Z. Li, Reducing Impact of Inaccurate user Feedback in Face

Retrieval. In Proc. Chinese Conference on Pattern Recognition (CCPR), 2008.

[119] Ran He, Meng Ao, Shi-Ming Xiang, S.Z. Li, Nearest Feature Line: A Tangent Approximation. In

Proc. In Proc. Chinese Conference on Pattern Recognition (CCPR), 2008.

[120] Ran He, Zhen Lei, Stan Z. Li, Xiaotong Yuan. Regularized Active Shape Model for Shape

Alignment. In Proc. IEEE int. conf. on Automatic Face and Gesture Recognition, 2008.

[121] Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li. Face Shape Recovery from a Single Image Using CCA 

Mapping between Tensor Spaces. In Proc. IEEE Computer Vision and Pattern Recognition (CVPR), 2008.

[122] Zhen Lei, Shengcai Liao, Ran He, M. Pietikainen, Stan Z. Li. Gabor Volume based Local Binary

Pattern for Face Representation and Recognition. In Proc. Automatic Face and Gesture Recognition, 2008.

[123] Rong Liu, Stan Z. Li, Xiaotong Yuan, Ran He, Online Determination of Track Loss Using Template

Inverse Matching, In Proc. IEEE Visual surveillances, 2008.

[124] Ran He, Stan Li, Zhen Lei and ShengCai Liao, Coarse-to-Fine Statistical Shape Model by Bayesian

Inference. In Proc. Asian Conference on Computer Vision (ACCV), 2007:54-64.

[125] Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, and Ran He, Structured Ordinal Features for

Appearance- Based Object Representation, In Proc. AMFG, 2007:183-192

[126] Xiaotong Yuan, Stan Z. Li and Ran He, Color Constancy via Convex Kernel Optimization. In Proc.

Asian Conference on Computer Vision (ACCV), 2007:728-737.

[127] Rufeng Chu, Zhen Lei, Yufei Han, Ran He and Stan Z. Li, Learning Gabor Magnitude Features for

Palm print Recognition. In Proc. Asian Conference on Computer Vision (ACCV), 2007:22-31.

[128] Zhen Lei, Rufeng Chu, Ran He, ShengCai Liao, Stan Z. Li. Face Recognition by Discriminant

Analysis with Gabor Tensor Representation. In Proc. Int. Conf. on Biometrics (ICB), 2007: 87-95.

[129] Stan Z. Li, Rufeng Chu, Meng Ao, Lun Zhang, Ran He. Highly Accurate and Fast Face Recognition

Using Near Infrared Images. In Proc. Int. Conf. on Biometrics (ICB), 2006: 151-158.

[130] Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu, Rufeng Chu, Ran He. A Near-infrared Image

Based Face Recognition System. In Proc. IEEE Automatic Face and Gesture Recognition, 2006: 455-460.

[131] Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou, Ran He, Yun

Yan. Mining Quantitative Associations in Large Database. In Proc. APWeb 2005: 405-416.