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.

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

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

Research Interests

Image Processing, Computer Vision, Pattern Recognition, Machine Learning, and AI safety.

MAJOR HONORS AND AWARDS

1. The Fellow of IEEE, 2025

2. The Fellow of IAPR, 2020

3. ACL Outstanding Paper Award for "Rethinking the Role of Prompting Strategies in LLM …", 2025

4. ACPR Best student Paper Award for "VeriChain: Reinforced Document Image Forgery…", 2025

5. NSFC for Distinguished Young Scholars, 2024

6. IEEE T-BIOM Outstanding Associate Editor award, 2024

7. Pattern Recognition Best Associate Editor Award, 2024

8. IEEE SPS Outstanding Editorial Board Member Award (TIP), 2024

9. IEEE SPS Outstanding Editorial Board Member Award (TIP), 2023

10. IEEE Biometrics Council Best Doctoral Dissertation Award (Phd student, Chaoyou Fu), 2023

11. First Prize of Technological Invention, Chinese Association for Artificial Intelligence, 2023

12. IEEE SPS Young Author Best Paper Award for "A Light CNN for Deep Face Representation …", 2020

13. IAPR ICPR Best Scientific Paper Award for "Image Inpainting with Contrastive Relation Network", 2020

14. IEEE ICB Honorable Mention Paper Award for "ScleraSegNet: An Improved U-Net Model with…",2019

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

16. First Prize of Beijing Outstanding Youth Paper Award, 2015

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

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

19. Excellent member of CAS Youth Innovation Promotion Association, 2019

20. The Beijing Science Fund for Distinguished Young Scholars, 2018

21. NSFC for Excellent Young Scholars, 2016

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

23. ACM Beijing Rising Star Award, 2015

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

25. The Member of CAS Youth Innovation Promotion Association, 2015

26. GUCAS Lu Jiaxi Young Talent Award, 2014

PROFESSIONAL SERVICES AND SOCIETIES

Vice Chair, IEEE SPS Information Forensics and Security Technical Committee, 2026-

Vice President, IEEE Biometrics Council, 2026-

Deputy Editors-in-Chief, IEEE Transactions on Information Forensics and Security, 2025-

Senior Area Editor, IEEE Transactions on Image Processing, 2024-

Editorial board member, IEEE Transactions on Information Forensics and Security, 2024-2025

Editorial board member, IEEE Transaction on Biometrics, Behavior and Identity Science, 2023-2025

Editorial board member, IEEE Transactions on Image Processing, 2021-2024

Action Editor, Transactions on Machine Learning Research, 2023-2024

Guest editor, special issue on Security and Ethics of Generative AI, Machine Learning Research, 2025

Guest editor, special issue on Ubiquitous Biometrics, Pattern Recognition, 2017

Editorial board member, IET Image Processing, 2013-2019

Editorial board member, Neurocomputing, 2012-2020

IEEE SPS Information Forensics and Security Technical Committee (IFS-TC) member, 2023-2025

IEEE Signal Processing Society Membership, 2016-

IEEE Senior Member, 2015-2025, IEEE Member, 2009-

CONFERENCE ORGANIZER

General Co-Chair, Int. Conf. on Electronic Information Engineering and Technology Computer, 2025

General Co-Chair, Int. Conf. on Pattern Analysis and Machine Intelligence, 2025

General Co-Chair, Int. Conf. on Computer Science and Artificial Intelligence Applications, 2024

Program Committee co-Chair, Int. Conf. Machine Learning and Computer Application, 2025

Program Committee co-Chair, Int. Conf. Artificial Intelligence, Virtual Reality and Interaction Design, 2025

Program Committee co-Chair, Asian Conference on Pattern Recognition, 2025

Program Committee co-Chair, Chinese Conference on Pattern Recognition and Computer Vision, 2024

Program Committee co-Chair, Chinese Conference on Biometric Recognition, 2019

Area Chair, International Conference on Computer Vision (ICCV), 2025

Area Chair, Computer Vision and Pattern Recognition (CVPR), 2023\2024\2025\2026

Organizing co-Chair, IJCAI Workshop on Deepfake Detection, Localization and Interpretability, 2025

Competition Chair, International Conference on Automatic Face and Gesture Recognition, 2023

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

Publication Chair, International Conference on Pattern Recognition, 2018.

Publication Chair, Chinese Conference on Biometric 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.

TUTORIALS AND TALKS

1. Recent Advances and Challenges of Deepfake Detection. IEEE SPS webinar, online, February, 2025.

2. Addressing the Risks of Misinformation in the Era of Generative AI. CAS and Royal Society Workshop series on AI Ethics, September, 2024

3. Foundation Models for Biometric Recognition. IEEE SPS webinar, online, January, 2024.

4. Heterogeneous Face Recognition. IEEE Biometrics Council Webinar, online, March, 2023.

LIST OF PUBLICATIONS

Overview:

Two books authored; 93 journal papers published/in-press; 173 refereed conference papers. Google Scholar citations: h = 78, about 21K cites in total (as of October 2025). A total of 46 papers have received more than 100 cites each per Google Scholar data.

Multiple journal articles were among the Top downloads of the respective IEEE journals.

Books:

Yi Li, Huaibo Huang, Ran He, Tieniu Tan. Heterogeneous Facial Analysis and Synthesis. Springer Briefs in Computer Science, Springer 2020, ISBN 978-981-13-9147-7.

Ran He, Baogang Hu, Xiaotong Yuan, Liang Wang. Robust Recognition via Information Theoretic Learning. SpringerBriefs in Computer Science, 2014.

Selected Journal Publications:

1. [NSR] Ran He, Jie Cao, Tieniu Tan. Generative Artificial Intelligence: A Historical Perspective. National Science Review, 2025.

2. [T-PAMI] Ran He, Jie Cao, Lingxiao Song, Zhenan Sun, Tieniu Tan. Adversarial Cross-spectral Face Completion for NIR-VIS Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(5): 1025-1037.

3. [PR] Ran He, Yi Li, Xiang Wu, Lingxiao Song, Zhenhua Chai, Xiaolin Wei. Coupled adversarial learning for semi-supervised heterogeneous face recognition. Elsevier Pattern Recognition, 2021,110:107618.

4. [T-PAMI] Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan. Wasserstein CNN: Learning Invariant Features for NIR- VIS Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 41(7): 1761-1773.

5. [PR] Ran He, Tieniu Tan, Larry Davis, Zhenan Sun. Learning Structured Ordinal Measures for Video based Face Recognition. Elsevier Pattern Recognition, 2018, 75:4-14.

6. [T-NNLS] 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.

7. [T-IP] 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.

8. [T-IP] Ran He, Yingya Zhang, Zhenan Sun, Qiyue Yin. Robust Subspace Clustering with Complex Noise. IEEE Transactions on Image Processing, 2015, 24(11): 4001-4013.

9. [PR] Ran He, Yinghao Cai, Tieniu Tan, Larry Davis. Learning Predictable Binary Codes for Face Indexing. Elsevier Pattern Recognition, 2015, 48(10): 3160-3168.

10. [T-PAMI] 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.

11. [T-PAMI] Ran He, W.-S. Zheng, T. Tan, Z. Sun. Half-quadratic based Iterative Minimization for Robust Sparse Representation. IEEE Trans. Pattern Analysis and Machine Intelligence, 2014, 36(2): 261-275.

12. [T-NNLS] Ran He, W.-S. Zheng, B.-G. Hu, X. Kong. Two-stage Nonnegative Sparse Representation for Large-scale Face Recognition. IEEE Trans. Neural Network and Learning System, 2013, 24(1): 35-46.

13. [T-PAMI] 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.

14. [T-IP] Ran He, B.-G. Hu, W.-S. Zheng, Xiangwei Kong. Robust Principal Component Analysis Based on Maximum Correntropy Criterion. IEEE Transactions on Image Processing, 2011, 20(6): 1485-1494.

Selected Conference Papers:

15. [AAAI] Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan. Learning invariant deep representation for NIR-VIS face recognition. AAAI Conference on Artificial Intelligence, 2017:2000-2006.

16. [CVPR] Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng. L21 Regularized Correntropy for Robust Feature Selection. IEEE Computer Vision and Pattern Recognition, 2012: 2504-2511.

17. [CVPR] Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng. Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Non-convex Minimization. IEEE Computer Vision and Pattern Recognition, 2011: 2889-2896.

18. [CVPR] Ran He, Wei-Shi Zheng, B.-G. Hu, X.W. Kong. Nonnegative Sparse Coding for Discriminative Semi-supervised Learning. In IEEE Computer Vision and Pattern Recognition, 2011: 2849-2856.

19. [AAAI] Ran He, B.-G. Hu, W.-S. Zheng, Y.-Q. Guo. Two-stage Sparse Representation for Robust Recognition on Large-scale Database. AAAI Conference on Artificial Intelligence, 2010: 475-480.

 Journal Papers:

1. [IJCV] Jian Liang, Ran He, Tieniu Tan. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts. International Journal of Computer Vision, 2025, 133(1): 31-64.

2. [IJCV] Junxian Duan, Yuang Ai, Jipeng Liu, Shenyuan Huang, Huaibo Huang, Jie Cao, Ran He. Test-time Forgery Detection with Spatial-Frequency Prompt Learning, International Journal of Computer Vision, 2025, 33(2): 672-687.

3. [T-IFS] Jiaxiang Wang, Aihua Zheng*, Lei Liu, Chenglong Li, Ran He, Jin Tang. Adaptive Interaction and Correction Attention Network for Audio-Visual Matching. IEEE Transactions on Information Forensics and Security, 2025.

4. [T-IFS] Jianze Wei, Xingyu Gao, Yunlong Wang, Ran He, Zhenan Sun. Uncertainty-Aware Bilateral Transformer for Accurate and Reliable Iris Segmentation. IEEE Transactions on Information Forensics and Security, 2025.

5. [T-IFS] Jianze Wei, Yunlong Wang, Xingyu Gao, Ran He, Zhenan Sun. Multi-Faceted Knowledge-Driven Graph Neural Network for Iris Segmentation. IEEETransactions on Information Forensics and Security, 2024, 19: 6015-6027.

6. [T-IFS] Jiaxiang Wang, Aihua Zheng*, Yan Yan, Ran He, Jin Tang. Attribute-guided Cross-modal Interaction and Enhancement for Audio-Visual Matching. IEEE Transactions on Information Forensics and Security, 2024, 19:4986-4998.

7. [T-CSVT] Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He. MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(3): 1376-1387.

8. [T-CSVT] Xiaoqiang Zhou, Chaoyou Fu, Huaibo Huang, Ran He. Dynamic Graph Memory Bank for Video Inpainting. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(11): 10831-10844.

9. [T-MM] Xiaoqiang Zhou, Huaibo Huang, Zileng Wang, Ran He*. Recursive Image Super-resolution Transformer with Relativistic Assessment. IEEE Transactions on Multimedia, 2024, 26: 6475-6487.

10. [T-PAMI] Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He*. Recognizing Predictive Substructures with Subgraph Information Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(3): 1650-1663.

11. [T-PAMI] Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He*. ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(7): 9135-9148.

12. [T-PAMI] Chaoyou Fu, Xiaoqiang Zhou, Weizan He, Ran He. Towards Lightweight Pixel-Wise Hallucination for Heterogeneous Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(7): 8920-8935.

13. [T-NNLS] Gengyun Jia, Peipei Li, Ran He. Theme-Aware Aesthetic Distribution Prediction with Full-Resolution Photos. IEEE Trans. Neural Networks and Learning Systems, 2023, 34(11):8654 - 8668.

14. [T-PAMI] Huaibo Huang, Mandi Luo, Ran He*. Memory Uncertainty Learning for Real-World Single Image Deraining. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(3): 3446-3460.

15. [T-IFS] Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He. Masked Relation Learning for DeepFake Detection. IEEE Transactions on Information Forensics and Security, 2023, 18: 1696 - 1708.

16. [T-CSVT] Linsen Song, Wenyan Wu, Chaoyou Fu, Chen Change Loy, Ran He. Audio-driven Dubbing for User Generated Contents via Style-aware Semi-parametric Synthesis. IEEE Transactions on Circuits and Systems for VideoTechnology, 2023, 33(3):1247-1261.

17. [T-IFS] Jianze Wei, Yunlong Wang, Huaibo Huang, Ran He, Zhenan Sun. Contextual Measures for Iris Recognition. IEEE Transactions on Information Forensics and Security, 2023, 18: 57-70.

18. [PR] Junxian Duan, Xiang Wu, Yibo Hu, Chaoyou Fu, Zi Wang, Ran He. Iterative embedding distillation for open world vehicle recognition. Pattern Recognition, 2023, 135: 109140.

19. [T-PAMI] Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng. Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(11): 8602-8617.

20. [T-PAMI] Si Liu, Wentao Jiang, Chen Gao, Ran He*, Jiashi Feng, Bo Li, Shuicheng Yan. PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(11): 8538-8551.

21. [T-PAMI] Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He*. DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(6): 2938-2952.

22. [T-ETCI] Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain. Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(5): 1211-1221.

23. [T-CSVT] Jianze Wei, Yunlong Wang, Yi Li, Ran He, Zhenan Sun. Cross-spectral Iris Recognition by Learning Device-specific Band. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(6): 3810-3824.

24. [PR] Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He. Structure-aware Conditional Variational Auto-encoder for Constrained Molecule Optimization. Pattern Recognition, 2022, 126: 108581.

25. [T-IFS] Linsen Song, Wayne Wu, Chen Qian, Ran He, Change Loy Chen. Everybody's Talkin': Let Me Talk as You Want. IEEE Transactions on Information Forensics and Security, 2022, 17: 585-598.

26. [T-IFS] Jianze Wei, Huaibo huang, Yunlong Wang, Ran He, Zhenan Sun. Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors. IEEE Transactions on Information Forensics and Security, 2022, 17: 865-879.

27. [T-IFS] Mandi Luo, Haoxue Wu, Huaibo Huang, Weizan He, Ran He*. Memory-Modulated Transformer Network for Heterogeneous Face Recognition. IEEE Transactions on Information Forensics and Security, 2022, 17: 2095-2109.

28. [PR] Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, Ran He. Deep Momentum Uncertainty Hashing. Pattern Recognition, 2022, 122: 108264.

29. Yafeng Zhan, J. Wei, J. Liang, Xiu Xu, Ran He, Trevor W. Robbins, Z. Wang. Diagnostic Classification for Human Autism and Obsessive-Compulsive Disorder Based on Machine Learning from a Primate Genetic Model. The American Journal of Psychiatry, 2021, 178(1): 65-76.

30. [IJAC] Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He. Deep Audio-Visual Learning: A Survey. International Journal of Automation and Computing, 2021, 18: 351–376.

31. [T-BIOM] Gengyun Jia, Meisong Zheng, Chuanrui Hu, Xin Ma, Yuting Xu, Luoqi Liu, Yafeng Deng, Ran He. Inconsistency-aware Wavelet Dual-branch Network for Face Forgery Detection. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021, 3(3): 308-319.

32. [PR] Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He*. Learning Robust Feature Transformation for Domain Adaptation. Pattern Recognition, 2021,114: 107870.

33. [T-IFS] Mandi Luo, Xin Ma, Zhihang Li, Jie Cao, Ran He. Partial NIR-VIS Heterogeneous Face Recognition with Automatic Saliency Search. IEEE Transactions on Information Forensics and Security, 2021, 16: 5003-5017.

34. [T-IFS] Mandi Luo, Jie Cao, Xin Ma, Xiaoyu Zhang, Ran He. FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition. IEEE Transactions on Information Forensics and Security, 2021, 16: 2341-2355.

35. [T-IFS] Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, Ran He*. High Fidelity Face Manipulation with Extreme Poses and Expressions. IEEE Transactions on Information Forensics and Security, 2021, 16: 2218-2231.

36. [IJCV] AijingYu, Haoxue Wu, Huaibo Huang, ZhenLei, Ran He*. LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database and Benchmark for NIR-VIS Face Recognition. International Journal of Computer Vision (IJCV), 2021,129(5), 1467-1483.

37. [IJCV] Huaibo Huang, Aijing Yu, Zhenhua Chai, Ran He*, Tieniu Tan. Selective Wavelet Attention Learning for Single Image Deraining. International Journal of Computer Vision, 2021, 129(4), 1282-1300.

38. [IJCV] Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He*. AutoDet: Pyramid Network Architecture Search for Object Detection. International Journal of Computer Vision, 2021, 129(4), 1087-1105.

39. [IJCV] Qi Li, Zhenan Sun, Ran He, Tieniu Tan. A General Framework for Deep Supervised Hashing. International Journal of Computer Vision, 2020, 128(8): 2204-2222.

40. [IJCV] Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He. A Survey of Deep Facial Attribute Analysis. International Journal of Computer Vision, 2020, 128(8): 2002-2034.

41. [IJCV] Xiang Wu, Ran He*, Yibo Hu, Zhenan Sun. Learning an Evolutionary Embedding via Massive Knowledge Distillation. International Journal of Computer Vision, 2020, 128(8): 2089-2106.

42. [IJCV] Yi Li, Huaibo Huang, Jie Cao, Ran He, Tieniu Tan. Disentangled Representation Learning of Makeup Portraits in the Wild. International Journal of Computer Vision, 2020, 128(8): 2166-2184.

43. [IJCV] Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun. Towards High Fidelity Face Frontalization in the Wild. International Journal of Computer Vision, 2020, 128(5): 1485-1504.

44. [T-BIOM] Caiyong Wang, Yunlong Wang, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun. ScleraSegNet: An Attention Assisted U-Net Model for Accurate Sclera Segmentation. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020, 2(1): 40-54.

45. [PR] Zhihang Li, Yibo Hu, Ran He, Zhenan Sun. Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions. Pattern Recognition, 2020, 99:107073.

46. [PR] Peipei Li, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun. Deep Label Refinement for Age Estimation. Pattern Recognition, 2020, 100: 107178.

47. [PR] Xin Zheng, Huaibo Huang, Yanqing Guo, Ran He. BLAN: Bi-directional Ladder Attentive Network for Facial Attribute Prediction. Pattern Recognition, 2020, 100: 107155.

48. [T-CSVT] 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, 2020, 30(7):2167-2177.

49. [T-IFS] Zhihang Li, Xu Tang, Xiang Wu, Jingtuo Liu, Ran He. Progressively Refined Face Detection Through Semantics Enriched Representation Learning. IEEE Transactions on Information Forensics and Security, 2020,15(1):1394-1406.

50. [T-IFS] Peipei Li, Yibo Hu, Ran He, Zhenan Sun. Global and Local Consistent Wavelet-domain Age Synthesis. IEEE Transactions on Information Forensics and Security, 2019, 14(11): 2943-2957.

51. [T-IFS] 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.

52. [PR] Jian Liang, Ran He, Zhenan Sun, Tieniu Tan. Exploring Uncertainty in Pseudo-label Guided Unsupervised Domain Adaptation. Pattern Recognition, 2019, 96: 1-11.

53. [PR] 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.

54. [IJCV] 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.

55. [T-PAMI] 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, 2019, 41(5): 1027-1042.

56. [T-IFS] 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.

57. [T-IFS] 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.

58. [PR] Dong Wang, Ran He, Liang Wang, Tieniu Tan. Robust Linear Representation via Exploiting Structure Prior. Pattern Recognition, 2018, 76: 560-568.

59. [T-IP] Yueying Kao, Ran He, Kaiqi Huang. Deep Aesthetic Quality Assessment with Semantic Information. IEEE Transactions on Image Processing, 2017, 26(3): 1482-1495.

60. [T-SMC] Yi Li, Y. 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.

61. [T-PAMI] 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, 2016, 38(10): 2010-2023.

62. [PR] Qi Li, Zhenan Sun, Zhouchen Lin, Ran He, Tieniu Tan. Transformation Invariant Subspace Clustering. Pattern Recognition, 2016, 59: 142-155.

63. [T-BD] 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.

64. [T-IFS] 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.

65. Ran He, Xiaotong Yuan and Weishi Zheng. A Fast Convex Conjugated Algorithm for Sparse Recovery. Neurocomputing, 2013, 115: 178-185.

66. [PR] 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.

67. [T-KDE] Xiaotong Yuan, Baogang Hu and Ran He. Agglomerative Mean-Shift Clustering. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(2): 209 - 219.

68. 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.

69. Ran He, Baogang Hu, XiaoTong Yuan, WeiShi Zheng. Principal Component Analysis Based on Nonparametric Maximum Entropy. Neurocomputing, 2010, 73:1840-1952.

70. Bao-Gang Hu, Ran He,Xiaotong Yuan. Information-Theoretic Measures for Objective Evaluation of Classifications. Chinese Acta Automatica Sinica, 2012, 38(7): 1169-1182. (20)

71. [Chinese] 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.

72. [Chinese] 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.

73. [Chinese] 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.

74. [Chinese] 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.

75. [Chinese] 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.

76. [Chinese] 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.

77. [Chinese] 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.

78. [Chinese] 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.

 Peer-Reviewed Conference Papers:

79. [NeurIPS] Yuang Ai, Qihang Fan, Xuefeng Hu, Zhenheng Yang, Ran He, Huaibo Huang. DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling. Neural Information Processing Systems, 2025.

80. [NeurIPS] Chaoyou Fu et al. VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction. Neural Information Processing Systems, 2025.

81. [NeurIPS] Shaoshu Yang, Yingya Zhang, Ran He. ZeroPatcher: Training-free Sampler for Video Inpainting and Editing. Neural Information Processing Systems, 2025.

82. [NeurIPS] Xuannan Liu, Zekun Li, Zheqi He, Pei Pei Li, Shuhan Xia, Xing Cui, Huaibo Huang, Xi Yang, Ran He. Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs. Neural Information Processing Systems, 2025.

83. [NeurIPS] Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan. The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models. Neural Information Processing Systems, 2025.

84. [NeurIPS] Chaoyou Fu, ..., Ran He. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. Neural Information Processing Systems, 2025.

85. [ICCV] Qihang Fan, Huaibo Huang, Yuang Ai, Ran He. Rectifying Magnitude Neglect in Linear Attention. International Conference on Computer Vision, 2025.

86. [ICCV] Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He. Cooperative Pseudo Labeling for Unsupervised Federated Classification. International Conference on Computer Vision, 2025.

87. [ICCV] Wenkui Yang, Jie Cao, Junxian Duan, Ran He. Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification. International Conference on Computer Vision, 2025.

88. [ICCV] Qihang Fan, Huaibo Huang, Mingrui Chen, Ran He. Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens. International Conference on Computer Vision, 2025.

89. [ACL] Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan. Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory. Annual Meeting of the Association for Computational Linguistics, 2025.

90. [CVPR] Qihang Fan, Huaibo Huang, Ran He. Breaking the Low-Rank Dilemma of Linear Attention. IEEE Computer Vision and Pattern Recognition, 2025.

91. [CVPR] Lijun Sheng, Jian Liang, Zilei Wang, Ran He. R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. IEEE Computer Vision and Pattern Recognition, 2025.

92. [CVPR] Chaoyou Fu et al. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. IEEE Computer Vision and Pattern Recognition, 2025.

93. [CVPR] Yanbo Wang, Jiyang Guan, Jian Liang, Ran He. Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? IEEE Computer Vision and Pattern Recognition, 2025.

94. [ICLR] Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan. LoRA-Pro: Are Low-Rank Adapters Properly Optimized? International Conference on Learning Representations, 2025.

95. [ICLR] Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan. Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate. International Conference on Learning Representations, 2025.

96. [AAAI] Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan. Exploring Vacant Classes in Label-Skewed Federated Learning. AAAI Conference on Artificial Intelligence, 2025.

97. [AAAI] Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan. Protecting Model Adaptation from Trojans in the Unlabeled Data. AAAI Conference on Artificial Intelligence, 2025.

98. [IJCB] Siyu Liu, Junxian Duan, Jie Cao, Aihua Zheng, Ran He. A Dynamic Prototype Tree with Structured Replay for Incremental Deepfake Detection. International Joint Conference on Biometrics, 2025.

99. [NeurIPS] Hongbo Wang, Jie Cao, Jin Liu, Xiaoqiang Zhou, Huaibo Huang, Ran He. Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation. Neural Information Processing Systems, 2024.

100. [NeurIPS] Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang. Visual Anchors Are Strong Information Aggregators for Multimodal Large Language Model. Neural Information Processing Systems, 2024.

101. [ICML] Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan. Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. International Conference on Machine Learning, 2024.

102. [ICML] Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan. Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. International Conference on Machine Learning, 2024.

103. [CVPR] Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He. Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration. Computer Vision and Pattern Recognition, 2024.

104. [CVPR] Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, Ran He. Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer. Computer Vision and Pattern Recognition, 2024.

105. [CVPR] Qihang Fan, Huaibo Huang, Mingrui Chen, Hongmin Liu, Ran He. RMT: Retentive Networks Meet Vision Transformers. Computer Vision and Pattern Recognition, 2024.

106. [CVPR] Jiyang Guan, Jian Liang, Ran He. Test-Time Backdoor Defense via Detecting and Repairing. Computer Vision and Pattern Recognition, 2024.

107. [ICLR] Junchi Yu, Ran He, Zhitao Ying. Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models. International Conference on Learning Representations, 2024.

108. [ICLR] Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan. A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. International Conference on Learning Representations, 2024.

109. [ICLR] Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan. ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models. International Conference on Learning

Representations, 2024.

110. [ICLR] Yanbo Wang, Jian Liang, Ran He. Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. International Conference on Learning Representations, 2024.

111. [AAAI] Zi Wang, Huaibo Huang, Aihua Zheng, Ran He. Heterogeneous Test-time Training for Multi-modal Person Re-identification. AAAI Conference on Artificial Intelligence, 2024.

112. [ICASSP] Zi Wang, Huaibo Huang, Aihua Zheng, Chenglong Li, Ran He. Parallel Augmentation and Dual Enhancement For Occluded Person Re-Identification. IEEE ICASSP 2024.

113. [FG] Yexiang Liu, Jin Liu, Jie Cao, Junxian Duan, Ran He. PortraitDAE: Line-Drawing Portraits Style Transfer from Photos via Diffusion Autoencoder with Meaningful Encoded Noise. IEEE International Conference on Automatic Face and Gesture Recognition, 2024.

114. [FG] Huimin Zhao, Jie Cao, Huaibo Huang, Xiaoqiang Zhou, Aihua Zheng, Ran He. Semantic-Aware Detail Enhancement for Blind Face Restoration. IEEE International Conference on Automatic Face and Gesture Recognition, 2024.

115. [ICASSP] Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He. CSCNET: Class-Specified Cascaded Network For Compositional Zero-Shot Learning. ICASSP 2024.

116. [ICCV] Xiaoqiang Zhou, Huaibo Huang, Ran He, Zilei Wang, Jie Hu, Tieniu Tan. MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition. International Conference on Computer Vision, 2023.

117. [ICCV] Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He. TALL: Thumbnail Layout for Deepfake Video Detection. International Conference on Computer Vision, 2023.

118. [ICCV] Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan. AdaptGuard: Defending Against Universal Attacks for Model Adaptation. International Conference on Computer Vision, 2023.

119. [ICCV] Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He. Pluralistic Aging Diffusion Autoencoder. International Conference on Computer Vision, 2023.

120. [ICCV] Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan. Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. International Conference on Computer Vision, 2023.

121. [NeurIPS] Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He. Lightweight Vision Transformer with Bidirectional Interaction. Neural Information Processing Systems, 2023.

122. [NeurIPS] Rui Wang, Pei-Pei Li, Huaibo Huang, Chunshui Cao, Ran He, Zhaofeng He. Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification. Neural Information Processing Systems, 2023.

123. [CVPR] Huaibo Huang, Xiaoqiang Zhou, Jie Cao, Ran He, Tieniu Tan. Vision Transformer with Super Token Sampling. IEEE Computer Vision and Pattern Recognition, 2023.

124. [CVPR] Junchi Yu, Jian Liang, Ran He. Mind the Label Shift for Augmentation-based Graph Out-of-Distribution Generalization. IEEE Computer Vision and Pattern Recognition, 2023.

125. [ICASSP] Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He. MODIFY: Model-driven Face Stylization without Style Images. IEEE International Conference on Acoustics, Speech and Signal Processing, 2023.

126. [ACPR] Jin Liu, Huaibo Huang, Jie Cao, Junxian Duan, Ran He. Fine-Grained Face Sketch-Photo Synthesis with Text-Guided Diffusion Models. Asian Conference on Pattern Recognition, 2023.

127. [ACPR] Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He. Uncertainty-guided Test-time Training for Face Forgery Detection. Asian Conference on Pattern Recognition, 2023.

128. [NeurIPS] Huaibo Huang, Xiaoqiang Zhou, Ran He. Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization. Neural Information Processing Systems, 2022.

129. [NeurIPS] Jiyang Guan, Jian Liang, Ran He. Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. Neural Information Processing Systems, 2022.

130. [CVPR] Jian Liang, Dapeng Hu, Jiashi Feng, Ran He. DINE: Domain Adaptation from Single and Multiple Black-box Predictors. IEEE Computer Vision and Pattern Recognition, 2022.

131. [CVPR] Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He. Rethinking Image Cropping: Exploring Diverse Compositions from Global Views. IEEE Computer Vision and Pattern Recognition, 2022.

132. [CVPR] Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao. Few-shot Backdoor Defense Using Shapley Estimation. IEEE Computer Vision and Pattern Recognition, 2022.

133. [CVPR] Junchi Yu, Jie Cao, Ran He. Improving Subgraph Recognition with Variational Graph Information Bottleneck. IEEE Computer Vision and Pattern Recognition, 2022.

134. [MM] Mandi Luo, Jie Cao, Ran He. Order-aware Human Interaction Manipulation. ACM International Conference on Multimedia, 2022.

135. [AAAI] Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang. Interact, Embed and EnlargE: Boosting Modality-specific Representations for Multi-Modal Person Re-identification. AAAI Conference on Artificial Intelligence, 2022.

136. [ICME] Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He. Fine-Grained Cross-Modal Retrieval with Triple-Streamed Memory Fusion Transformer Encoder. IEEE International Conference on Multimedia and Expo, 2022.

137. [ICCV] Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu. Invisible Backdoor Attack with Sample-Specific Triggers. International Conference on Computer Vision, 2021.

138. [ICCV] Chaoyou Fu, Yibo Hu, Xiang Wu, H. Shi, Tao Mei, Ran He. Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification. International Conference on Computer Vision, 2021.

139. [CVPR] Huaibo Huang, Aijing Yu, Ran He. Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. IEEE Computer Vision and Pattern Recognition, 2021.

140. [CVPR] Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun. ReMix: Towards Image-to-Image Translation with Limited Data. IEEE Computer Vision and Pattern Recognition, 2021.

141. [CVPR] Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He. Pareidolia Face Reenactment. IEEE Computer Vision and Pattern Recognition, 2021.

142. [CVPR] Gege Gao, Huaibo Huang, Chaoyou Fu, ZhaoYang Li, Ran He. Information Bottleneck Disentanglement for Identity Swapping. IEEE Computer Vision and Pattern Recognition, 2021.

143. [CVPR] Jia Li, ZhaoYang Li, Jie Cao, Xingguang Song, Ran He. FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. IEEE Computer Vision and Pattern Recognition, 2021.

144. [ICLR] Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He*. Graph Information Bottleneck for Subgraph Recognition. International Conference on Learning Representations, 2021.

145. [IJCB] Zongcai Sun, Chaoyou Fu, Mandi Luo, Ran He. Self-Augmented Heterogeneous Face Recognition. International Joint Conference on Biometrics, 2021.

146. [IJCB] Yuting Xu, Gengyun Jia, Huaibo Huang, Junxian Duan, Ran He. Visual-semantic Transformer for Face Forgery Detection. International Joint Conference on Biometrics, 2021.

147. [IJCB] Jianze Wei, Ran He, Zhenan Sun. Contrastive Uncertainty Learning for Iris Recognition with Insufficient Labeled Samples. International Joint Conference on Biometrics, 2021.

148. [NeurIPS] Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He. AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection. Neural Information Processing Systems, 2020.

149. [ECCV] Yibo Hu, Xiang Wu, Ran He. TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search. European Conference on Computer Vision, 2020.

150. [ECCV] Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. European Conference on Computer Vision, 2020.

151. [ECCV] Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun. Hierarchical Face Aging through Disentangled Latent Characteristics. European Conference on Computer Vision, 2020.

152. [ECCV] Jian Liang, Wang Yunbo, Dapeng Hu, Ran He, Jiashi Feng. A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. European Conference on Computer Vision, 2020.

153. [ECCV] K. Wang, Q. Wu, L. Song, Z. Yang, W. Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy. MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation. European Conference on Computer Vision, 2020.

154. [MM] Chen Gao, Si liu, Defa Zhu, Quan Liu, Jie Cao, Haoqian He, Ran He, Shuicheng Yan. InteractGAN: Learning to Generate Human-Object Interaction. ACM International Conference on Multimedia, 2020.

155. [MM] Peipei Li, Yinglu Liu, Hailin Shi, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun. Dual-Structure Disentangling Variational Generation for Data-Limited Face Parsing. ACM International Conference on Multimedia, 2020.

156. [MM] Wentao Jiang, Si Liu, Chen Gao, Ran He, Bo Li, Shuicheng Yan. Beautify As You Like. ACM International Conference on Multimedia, 2020: 4542–4544.

157. [ICPR] Xiaoqiang Zhou, Junjie Li, Zilei Wang*, Ran He, Tieniu Tan. Image Inpainting with Contrastive Relation Network. International Conference on Pattern Recognition, 2020.

158. [ICPR] Rui Wang, Huaibo Huang, Aihua Zheng, Ran He. Attentional Wavelet Network for Traditional Chinese Painting Transfer. International Conference on Pattern Recognition, 2020.

159. [ICPR] Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He. Let's Play Music: Audio-driven Performance Video Generation. International Conference on Pattern Recognition, 2020.

160. [ICPR] Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He. P2 Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. International Conference on Pattern Recognition, 2020.

161. [ICPR] Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He. Free-Form Image Inpainting via Contrastive Attention Network. International Conference on Pattern Recognition, 2020.

162. [ICPR] Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He. Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. International Conference on Pattern Recognition, 2020.

163. [ICPR] Aihua Zheng, Feixia Zhu, Hao Zhu, Mandi Luo, Ran He. Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. International Conference on Pattern Recognition, 2020.

164. [ICPR] Haoxue Wu, Huaibo Huang, Aijing Yu, Jie Cao, Zhen Lei, Ran He. Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement. International Conference on Pattern Recognition, 2020.

165. [IJCAI] Hao Zhu, H. Huang, Yi Li, A. Zheng, Ran He. Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. International Joint Conference on Artificial Intelligence, 2020.

166. [CVPR] Zhihang li, Teng Xi, Jiankang Deng, Gang zhang, Shengzhao Wen, Ran He*. GP-NAS: Gaussian Process based Neural Architecture Search. IEEE Computer Vision and Pattern Recognition, 2020.

167. [CVPR] Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He*. Cross-Spectral Face Hallucination via Disentangling Independent Factors. IEEE Computer Vision and Pattern Recognition, 2020.

168. [CVPR] Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan. PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. IEEE Computer Vision and Pattern Recognition, 2020.

169. [NeurIPS] Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, Ran He. Dual Variational Generation for Low Shot Heterogeneous Face Recognition. Neural Information Processing Systems, 2019.

170. [ICCV] Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He. Make a Face: Towards Arbitrary High Fidelity Face Manipulation. International Conference on Computer Vision, 2019.

171. [ICCV] Peipei Li, X. Wu, Yibo Hu, Ran He, Zhenan Sun. M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis. International Conference in Computer Vision, 2019.

172. [BTAS] Yi Li, Huaibo Huang, Junchi Yu, Ran He, Tieniu Tan. Cosmetic-Aware Makeup Cleanser. IEEE International Conference on Biometrics: Theory, Applications, and Systems, 2019.

173. [BTAS] 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, 2019.

174. [MM] Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He. Learning Disentangled Representation for Cross-Modal Retrieval with Deep Mutual Information Estimation. ACM International Conference on Multimedia, 2019.

175. [CVPR] Jian Liang, Ran He, Zhenan Sun, Tieniu Tan. Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. IEEE Computer Vision and Pattern Recognition, 2019.

176. [IJCAI] Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He. Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. International Joint Conference on Artificial Intelligence, 2019.

177. [IJCAI] Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. International Joint Conference on Artificial Intelligence, 2019.

178. [IJCAI] Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He. Pose-preserving Cross Spectral Face Hallucination. International Joint Conference on Artificial Intelligence, 2019.

179. [AAAI] Xiang Wu, Huaibo Huang, Vishal Patel, Ran He, Zhenan Sun. Disentangled Variational Representation for Heterogeneous Face Recognition. AAAI Conference on Artificial Intelligence, 2019.

180. [AAAI] Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He. Geometry-Aware Face Completion and Editing. AAAI Conference on Artificial Intelligence, 2019.

181. [AAAI] Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang. Visual-semantic Graph Reasoning for Pedestrian Attribute Recognition. AAAI Conference on Artificial Intelligence, 2019.

182. [ICB] Caiyong Wang, Yong He, Yunfan Liu, Zhaofeng He, Ran He, Zhenan Sun. An Improved U-Net Model with Attention for Accurate Sclera Segmentation. International Conference on Biometrics, 2019.

183. [ACCV] Weikuo Guo, Jian Liang, X. Kong, L. Song, and Ran He. An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. Asian Conference on Computer Vision, 2018.

184. [NeurIPS] Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, Tieniu Tan. IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis. Neural Information Processing Systems, 2018.

185. [NeurIPS] Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, Zhenan Sun. Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization. Neural Information Processing Systems, 2018.

186. [MM] Lingxiao Song, Zhihe Lu, Ran He, Zhenan Sun, Tieniu Tan. Geometry Guided Adversarial Facial Expression Synthesis. ACM International Conference on Multimedia, 2018.

187. [MM] Zhihe Lu, Tanhao Hu, Lingxiao Song, Zhao-xiang Zhang, Ran He. Conditional Expression Synthesis with Face Parsing Transformation. ACM International Conference on Multimedia, 2018.

188. [IJCAI] 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.  International Joint Conference on Artificial Intelligence, 2018.

189. [CVPR] Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun. Pose-Guided Photorealistic Face Rotation.  IEEE Computer Vision and Pattern Recognition, 2018.

190. [AAAI] Yi Li, L. Song, Xiang Wu, Ran He, Tieniu Tan. Anti-Makeup: Learning a Bi-Level Adversarial Network for Makeup-Invariant Face Verification. AAAI Conference on Artificial Intelligence, 2018.

191. [AAAI] Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan. Coupled Deep Learning for Heterogeneous Face Recognition. AAAI Conference on Artificial Intelligence, 2018.

192. [AAAI] Lingxiao Song, Man Zhang, Xiang Wu, Ran He. Adversarial Discriminative Heterogeneous Face Recognition. AAAI Conference on Artificial Intelligence, 2018.

193. [AAAI] Wei Wang, Hao Wang, Zhiyong Ran, Ran He. Information-Theoretic Domain Adaptation under Severe Noise Conditions. AAAI Conference on Artificial Intelligence, 2018.

194. [BTAS] Yibo Hu, Lingxiao Song, Bing Yu, Ran He, Zhenan Sun. Adversarial Embedding and Variational Aggregation for Video Face Recognition. International Conference on Biometrics: Theory, Applications, and Systems, 2018.

195. [BTAS] Yujia Chen, Lingxiao Song, Yibo Hu, Ran He. Adversarial Occlusion-aware Face Detection. International Conference on Biometrics: Theory, Applications, and Systems, 2018.

196. [ICPR] Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun. Global and Local Consistent Age Generative Adversarial Networks. International Conference on Pattern Recognition, 2018.

197. [ICB] Zhihang Li, Yibo Hu, Man Zhang, Min Xu, Ran He. Protecting Your Faces: MeshFaces Generation and Removal via High-order Relation-preserving CycleGAN. International Conference on Biometrics, 2018.

198. [ICME] 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.

199. [NeurIPS] Qi Li, Zhenan Sun, Ran He, Tieniu Tan. Deep Supervised Discrete Hashing. Neural Information Processing Systems, 2017.

200. [ICCV] Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan. Wavelet-SRNet: A Wavelet-based CNN for Multi-scale Face Super Resolution. International Conference on Computer Vision, 2017.

201. [ICCV] Rui Huang, Shu Zhang, Tianyu Li, Ran He. Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis. International Conference on Computer Vision, 2017.

202. [AAAI] Yanbo Fan, Ran He, Jian Liang, Baogang Hu. Self-Paced Learning: An Implicit Regularization Perspective. AAAI Conference on Artificial Intelligence, 2017:1877-1883.

203. [ICASSP] Yueying Kao, Ran He, Kaiqi Huang. Automatic Image Cropping with Aesthetic Map and Gradient Energy Map. IEEE International Conference on Acoustics, Speech and Signal Processing, 2017.

204. [ICME] Jun Guo, Yanqing Guo, Xiangwei Kong, Ran He. Unsupervised Feature Selection with Ordinal Locality. IEEE International Conference on Multimedia and Expo, 2017.

205. [ICB] Qi Li, Ran He, Zhenan Sun, Tieniu Tan. Fast Multi-view Face Alignment via Multi-task Auto-encoders. International Joint Conference on Biometrics, 2017.

206. [ACPR] Zhihe Lu, Zhihang Li, Jie Cao, Ran He and Zhenan Sun. Recent Progress of Face Image Synthesis. Asian Conference on Pattern Recognition, 2017.

207. [ACPR] Yibo Hu, Xiang Wu and Ran He. Attention-Set based Metric Learning for Video Face Recognition. Asian Conference on Pattern Recognition, 2017.

208. [IJCAI] Jian Liang, Ran He, Zhenan Sun and Tieniu Tan. Group-Invariant Cross-Modal Subspace Learning. International Joint Conference on Artificial Intelligence, 2016.

209. [SIGIR] Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang. Self-Paced Cross-Modal Subspace Matching. ACM conference on Special Interest Group on Information Retrieval, 2016.

210. [AAAI] Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan. Simultaneous Feature and Sample Reduction for Image-set Classification. In AAAI Conference on Artificial Intelligence, 2016: 1401-1407.

211. [AAAI] Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang and Ran He. Discriminative Analysis Dictionary Learning. AAAI Conference on Artificial Intelligence, 2016: 1617-1623.

212. [MM] Dekui Ma, Jian Liang, Xiangwei Kong and Ran He. Frustratingly Easy Cross-Modal Hashing. ACM International Conference on Multimedia, 2016.

213. [ISM] Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li. Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. IEEE International Symposium on Multimedia, 2016. [Best Paper Candidate]

214. [DSP] Wenkai Dong, Shu Zhang, Ran He. Digital recognition from lip texture analysis. International Conference on Digital Signal Processing, 2016.

215. [DSP] Zhihe Lu, Xiang Wu, Ran He. Person Identification from Lip Texture Analysis. International Conference on Digital Signal Processing, 2016.

216. [DSP] Jie Cao, Haiqing Li, Zhenan Sun, Ran He. Accurate mouth state estimation via convolutional neural networks. International Conference on Digital Signal Processing, 2016.

217. [ICIP] Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu, Liang Wang. Localize Heavily Occluded Human Faces via Deep Segmentation. International Conference on Image Processing, 2016.

218. [ICB] Shu Zhang, Ran He, Zhenan Sun, Tieniu Tan. Multi-task ConvNet for Blind Face Inpainting with Application to Face Verification. International Conference on Biometrics, 2016

219. [IJCNN] Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong and Ran He. Topology Preserving Dictionary Learning for Pattern Classification. International Joint Conference on Neural Networks, 2016.

220. [IJCNN] Linlin Cao, Ran He and B.G. Hu. Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints. In International Joint Conference on Neural Networks, 2016.

221. [CCBR] Xiaoxiang Liu, Xiaobo Sun, Ran He, and Tieniu Tan. Recent Advances on Cross-Domain Face Recognition. Chinese Conference on Biometric Recognition, 2016.

222. [ACPR] Lingxiao Song, Man Zhang, Qi Li, Ran He, Zhenan Sun. Float Greedy-search-based Subspace Clustering. Asian Conference on Pattern Recognition, 2015.

223. [ACPR] Shu Zhang, Man Zhang, Qi Li, Tieniu Tan, Ran He. Supervised Topology Hashing. Asian Conference on Pattern Recognition, 2015.

224. [ACPR] Dong Wang, Ran He, Liang Wang, Tieniu Tan. Adaptive Multi-view Clustering via Cross Trace Lasso. Asian Conference on Pattern Recognition, 2015.

225. [ACPR] Yanbo Fan, Ran He, Baogang Hu. Global and Local Consistent Multi-view Subspace Clustering. Asian Conference on Pattern Recognition, 2015.

226. [ACPR] Dong Cao, Ran He, Zhenan Sun, Tieniu Tan. Joint Space Learning for Video-based Face Recognition. Asian Conference on Pattern Recognition, 2015.

227. [ACPR] Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan. Principal Affinity based Cross-Modal Retrieval. Asian Conference on Pattern Recognition, 2015.

228. [CIKM] Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan. Multi-view clustering via structured low-rank representation. International Conference on Information and Knowledge Management, 2015.

229. [ICMR] Kaiye Wang, Wei Wang, Liang Wang, Ran He. A Two-step Approach to Cross-modal Hashing. ACM International Conference on Multimedia Retrieval, 2015.

230. [BTAS] Dong Cao, Man Zhang, Ran He, Zenan Sun, Tieniu Tan. Real-World Gender Recognition Using Multi-order LBP and Localized Multi-Boost Learning. IEEE International Conference on Identity, Security and Behavior Analysis, 2015.

231. [ACCV] Guangxiao Zhang, Ran He, Larry Davis. Jointly Learning Dictionaries and Subspace Structure for Video-based Face Recognition. Asian Conference on Computer Vision, 2014.

232. [ICIP] Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan. Semi-Supervised Subspace Segmentation. International Conference on Image Processing, 2014.

233. [ICIP] Shu Zhang, Man Zhang, Ran He and Zhenan Sun. Transform-Invariant Dictionary Learning For Face Recognition. International Conference on Image Processing, 2014.

234. [ICCV] Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan. Learning Coupled Feature Spaces for Cross-modal Matching. International Conference on Computer Vision (ICCV), 2013.

235. [ICCV] Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan. Robust Subspace Clustering via Half-Quadratic Minimization. International Conference on Computer Vision (ICCV), 2013.

236. [ACPR] Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan. Robust Low-Rank Representation via Correntropy. Asian Conference on Pattern Recognition, 2013. [Best Poster Award]

237. [ACPR] Qi Li, Zhenan Sun, Ran He, Tieniu Tan. Joint Alignment and Clustering via Low-Rank Representation. Asian Conference on Pattern Recognition, 2013.

238. [ACPR] Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan. Margin Based Feature Selection for Cross-Sensor Iris Recognition via Linear Programming. Asian Conference on Pattern Recognition, 2013.

239. [ACPR] 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.

240. [BTAS] Lihu Xiao, Zhenan Sun, Ran He, Tieniu Tan. Coupled Feature Selection for Cross-sensor Iris Recognition. Biometrics: Theory, Applications and Systems, 2013.

241. [CCBR] Qi Li, Zhenan Sun, Ran He and Tieniu Tan. Learning Symmetry Features for Face Detection Based on Sparse GroupLasso. Chinese Conference on Biometric Recognition, 2013.

242. [ICB] 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, 2012.

243. [ACCV] Zhenhua Chai, Heydi Mendez, Ran He, Zhenan Sun, Tieniu Tan. Semantic Pixel Sets based Local Binary Patterns for Face Recognition. Asian Conference on Computer Vision, 2012.

244. [CCBR] Yanqing Guo, Ran He, Weishi Zheng and Xiangwei Kong. Active Shape Model Based on Sparse Representation. Chinese Conference on Biometric Recognition, 2012.

245. [CCPR] Qiyue Yin, Rong Sun, Liang Wang and Ran He. Structure Sparsity for Multi-camera Gait Recognition. Chinese Conference on Pattern Recognition, 2012: 94–103.

246. [ACPR] Libo Hou and Ran He. Minimum Entropy Linear Embedding Based on Gaussian Mixture Model. Asian Conference on Pattern Recognition, 2011.

247. [ICIP] Shuai Zheng, Kaiqi Huang, Tieniu Tan, Ran He, Junge Zhang. Robust View Transformation Model for Gait Recognition. International Conference on Image Processing, 2011.

248. [ACML] Ran He, Bao-Gang Hu and Xiao-Tong Yuan. Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. Asian Conference on Machine Learning, 2009.

249. [SDM] Xiaotong Yuan, Baogang Hu and Ran He. Improved Mean-Shift Clustering via Query Set Compression. SIAM International Conference on Data Mining, 2009.

250. [CCBR] Ran He, Wei-Shi Zheng, Meng Ao, S.Z. Li, Reducing Impact of Inaccurate user Feedback in Face Retrieval. Chinese Conference on Pattern Recognition, 2008.

251. [CCBR] Ran He, Meng Ao, Shi-Ming Xiang, S.Z. Li, Nearest Feature Line: A Tangent Approximation. Chinese Conference on Pattern Recognition, 2008.

252. [FG] Ran He, Zhen Lei, Stan Z. Li, Xiaotong Yuan. Regularized Active Shape Model for Shape Alignment. IEEE int. conf. on Automatic Face and Gesture Recognition, 2008.

253. [CVPR] Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li. Face Shape Recovery from a Single Image Using CCA Mapping between Tensor Spaces. IEEE Computer Vision and Pattern Recognition, 2008.

254. [FG] Zhen Lei, Shengcai Liao, Ran He, M. Pietikainen, Stan Z. Li. Gabor Volume based Local Binary Pattern for Face Representation and Recognition. Automatic Face and Gesture Recognition, 2008.

255. [VS] Rong Liu, Stan Z. Li, Xiaotong Yuan, Ran He, Online Determination of Track Loss Using Template Inverse Matching, IEEE Visual surveillances, 2008.

256. [ACCV] Ran He, Stan Li, Zhen Lei and ShengCai Liao, Coarse-to-Fine Statistical Shape Model by Bayesian Inference. Asian Conference on Computer Vision, 2007:54-64.

257. [FG] Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, and Ran He, Structured Ordinal Features for Appearance- Based Object Representation, Automatic Face and Gesture Recognition, 2007:183-192

258. [ACCV] Xiaotong Yuan, Stan Z. Li and Ran He, Color Constancy via Convex Kernel Optimization. Asian Conference on Computer Vision, 2007:728-737.

259. [ACCV] Rufeng Chu, Zhen Lei, Yufei Han, Ran He and Stan Z. Li, Learning Gabor Magnitude Features for Palm print Recognition. Asian Conference on Computer Vision, 2007:22-31.

260. [ICB] Zhen Lei, Rufeng Chu, Ran He, ShengCai Liao, Stan Z. Li. Face Recognition by Discriminant Analysis with Gabor Tensor Representation. Int. Conf. on Biometrics, 2007: 87-95.

261. [ICB] Stan Z. Li, Rufeng Chu, Meng Ao, Lun Zhang, Ran He. Highly Accurate and Fast Face Recognition Using Near Infrared Images. Int. Conf. on Biometrics, 2006: 151-158.

262. [FG] Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu, Rufeng Chu, Ran He. A Near-infrared Image Based Face Recognition System. IEEE Automatic Face and Gesture Recognition, 2006: 455-460.263.