Welcome to Yan Yan’s Homepage

I am a professor with the School of Informatics at Xiamen University, China.

I received the PhD degree in information and communication engineering from Tsinghua University, China, in 2009. My supervisor is Prof. Yu-Jin Zhang. I obtained my Bachelor’s degree from University of Electronic Science and Technology of China, in 2004.

I worked at Nokia Japan R&D center as a research engineer (2009-2010) in the Imaging Software Team led by Jiunn Bay, and Panasonic Singapore Lab as a project leader (2011) in the Media Processing Group led by Shengmei Shen and CherKeng Heng. I have published more than 100 papers in the international journals and conferences including the IEEE T-PAMI, IJCV, IEEE T-IP, IEEE T-MM, IEEE T-AFFC, IEEE T-CYB, IEEE T-CSVT, IEEE T-ITS, PR, CVPR, ICCV, ECCV, ACM MM, AAAI, etc.

I am an IEEE Senior member. Currently, I serve as an associate editor of Neurocomputing and Visual Computer and a young associate editor in Journal of Computer Research and Development(CRAD, 计算机研究与发展in Chinese) and Journal of image and Graphics (JIG, 中国图象图形学报 in Chinese) and an active reviewer for several international journals (including IEEE T-PAMI, IJCV, IEEE T-NNLS, IEEE T-IP, IEEE T-MM, Neurocomputing) and conferences (including ECCV 2024, CVPR 2024, CVPR 2023, CVPR 2022, CVPR 2021, ECCV 2020, AAAI 2021, AAAI 2020, PRCV 2020, ICCV 2019, etc).

My interests focus on computer vision and pattern recognition, especially the following topics.

• facial expression recognition
• object detection and tracking
• GAN Inversion
• person re-identification
• facial attribute analysis
• semantic segmentation
• face detection, tracking, recognition
• robust model fitting

中文主页

Google Scholar

Selected Publications

2024

Journal

• Fenghong Yang#, Runqing Jiang#, Yan Yan*, Jing-Hao Xue, Biao Wang, Hanzi Wang. Dual-mode learning for multi-dataset X-ray security image detection. IEEE Transactions on Information Forensics & Security (IEEE T-IFS), 2024. link
• Yang Xu, Yan Yan*, Jing-Hao Xue, Yang Hua, Hanzi Wang. Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition. IEEE Transactions on Circuits Systems and Video Technology (IEEE T-CSVT), 2024. link
• Yuanling Lv, Yan Yan*, Jing-Hao Xue, Si Chen, Hanzi Wang. Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition. IEEE Transactions on Image Processing (IEEE T-IP), 2024.
• Xiao Wang, Yan Yan, Hai-Miao Hu, Bo Li, Hanzi Wang, Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition. IEEE Transactions on Image Processing (IEEE T-IP), 33: 1257-1271, 2024. link

  Conference

• Ziqiang Zhang, Yan Yan*, Jing-Hao Xue, Hanzi Wang. Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. AAAI Conference on Artificial Intelligence (AAAI), 2024. link
• Liuxiang Qiu, Si Chen, Yan Yan*, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu. High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification. AAAI Conference on Artificial Intelligence (AAAI), 2024. link

2023

Journal

• Yan Yan*, Ying Shu, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang. SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. International Journal of Computer Vision (IJCV), 131(8):2097-2121, 2023. link
• Yan Yan, Youze Xu, Jing-Hao Xue, Yang Lu, Hanzi Wang, Wentao Zhu. Drop Loss for Person Attribute Recognition with Imbalanced Noisy-Labeled Samples. IEEE Transactions on Cybernetics (IEEE T-CYB), 53(11): 7071-7084, 2023. link
• Runqing Jiang, Yan Yan*, Jing-Hao Xue, Si Chen, Nannan Wang, Hanzi Wang. Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery. IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 2023. link
• Si Chen, Xueyan Zhu, Yan Yan, Shunzhi Zhu, Shao-Zi Li, Da-Han Wang. Identity-Aware Contrastive Knowledge Distillation for Facial Attribute Recognition. IEEE Transactions on Circuits Systems and Video Technology (IEEE T-CSVT), 33(10): 5692-5706, 2023. link
• Qiang Qi, Tianxiang Hou, Yang Lu, Yan Yan, Hanzi Wang. DGRNet: A Dual-Level Graph Relation Network for Video Object Detection. IEEE Transactions on Image Processing (IEEE T-IP), 32: 4128-4141, 2023. link
• Qiang Qi, Tianxiang Hou, Yan Yan, Yang Lu, Hanzi Wang. TCNet: A Novel Triple-Cooperative Network for Video Object Detection. IEEE Transactions on Circuits Systems and Video Technology (IEEE T-CSVT), 33(8): 3649-3662, 2023. link
• Qiang Qi, Yan Yan, Hanzi Wang*. Class-Aware Dual-Supervised Aggregation Network for Video Object Detection. IEEE Transactions on Multimedia (IEEE T-MM), 2023. link

  Conference

• Yukang Zhang, Yan Yan, Jie Li, Hanzi Wang. MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification. AAAI Conference on Artificial Intelligence (AAAI), 2023. link

2022

Journal

• Runqing Jiang, Yan Yan*, Jing-Hao Xue, Biao Wang, Hanzi Wang. When Sparse Neural Network Meets Label Noise Learning: A Multi-Stage Learning Framework. IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 2022.
• Delian Ruan, Rongyun Mo, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition. International Journal of Computer Vision, 2022. Link
• Xi Weng, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. Stage-aware feature alignment network for real-time semantic segmentation of street scenes. IEEE Transactions on Circuits and Systems for Video Technology, 2022. Link
• Xi Weng, Yan Yan, Genshun Dong, Chang Shu, Biao Wang, Hanzi Wang, Ji Zhang. Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes. IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), 2022.
• Rongyun Mo#, Shenqi Lai#, Yan Yan*, Zhenhua Chai, Xiaolin Wei. Dimension-Aware Attention for Efficient Mobile Networks. Pattern Recognition (PR). 2022.

  Conference

• Xinyi Zou, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. AAAI, 2022. Link
• Xinyi Zou, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition. European Conference on Computer Vision (ECCV), 2022.

2021

Journal

• Genshun Dong, Yan Yan*, Chunhua Shen, Hanzi Wang. Real-time high-performance semantic image segmentation of urban street scenes. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3258-3274, 2021. Link
• Xiaokang Zhang, Yan Yan*, Jing-Hao Xue, Yang Hua, Hanzi Wang. Semantic-aware occlusion-robust network for occluded person re-identification. IEEE Transactions on Circuits and Systems for Video Technology, 31(7), 2764-2778, 2021. Link

  Conference

• Delian Ruan, Yan Yan*, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang. Feature Decomposition and Reconstruction Learning for Effective Facial Expression. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2021. Link
• Ying Shu, Yan Yan*, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang. Learning spatial-semantic relationship for facial attribute recognition with limited labeled data. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, acceptance rate 23.7%), 11916-11925, 2021. Link
• Rongyun Mo, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. D3Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition. Proceedings of the ACM Multimedia (MM), 2021. Link
• Youze Xu, Yan Yan*, Jing-Hao Xu, Yang Lu, Hanzi Wang, Small-vote sample selection for label-noise learning. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD). Link

2020

Journal

• Yan Yan*, Ying Huang, Si Chen, Chunhua Shen, Hanzi Wang. Joint Deep Learning of Facial Expression Synthesis and Recognition. IEEE Transactions on Multimedia, 2020. [PDF]Link
• Longbiao Mao, Yan Yan*, Jing-Hao Xue, Hanzi Wang. Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification. IEEE Transactions on Affective Computing, 2020. [PDF]Link
• Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Jin Zheng, Bo Li. Accelerated Guided Sampling for Multi-Structure Model Fitting. IEEE Transactions on Cybernetics, 2020.
• Yan Yan, Zizhao Zhang, Si Chen, Hanzi Wang*. Low-Resolution Facial Expression Recognition: A Filter Learning Perspective. Signal Processing, 169 (107370):1-13, 2020. Link
• Yihan Du, Yan Yan*, Si Chen, Yang Hua. Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation. Neurocomputing, 2020. [PDF]
• Guanjun Guo, Hanzi Wang*, Yan Yan, Liming Zhang, Bo Li, Large Margin Deep Embedding for Aesthetic Image Classification. SCIENCE CHINA Information Sciences, 2020, 63(1): 119102. [PDF]
• Guobao Xiao, Xiong Zhou, Yan Yan, Hanzi Wang*. A Two-Step Hypergraph Reduction based Fitting Method for Unbalanced Data. Pattern Recognition Letters, 2020.
• Guanjun Guo, Hanzi Wang*, Yan Yan, Jin Zheng, Bo Li, A fast face detection method via convolutional neural network, Neurocomputing, 2020. [PDF]
• 杨婉香，严严*，陈思，张小康，王菡子. 基于多尺度生成对抗网络的遮挡行人重识别方法. 软件学报(In Chinese), 2020. [PDF]
• 郭翰林，肖国宝，严严，林舒源，王菡子*，基于偏好统计数据表征的鲁棒几何模型拟合方法。计算机学报(In Chinese)，2020.

  Conference

• Delian Ruan, Yan Yan*, Si Chen, Jing-Hao Xue, Hanzi Wang. Deep Disturbance-disentangled Learning for Facial Expression Recognition, Proceedings of the ACM Multimedia (MM), 2020.

2019

Journal

• Hanzi Wang*, Guobao Xiao, Yan Yan, David Suter. Searching for representative modes on hypergraphs for robust geometric model fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(3):697-711, 2019. [PDF]
• Guobao Xiao, Hanzi Wang*, Yan Yan, David Suter, Superpixel-Guided Two-View Deterministic Geometric Model Fitting. International Journal of Computer Vision (IJCV), 127(4):323-339, 2019. [PDF]
• Wanxiang Yang, Yan Yan*, Si Chen. Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions. Neurocomputing, 336:56-66, 2019. [PDF]
• Liao Zhang, Yan Yan, Lin Cheng, Hanzi Wang*. Learning Object Scale with Click Supervision for Object Detection. IEEE Signal Processing Letters, 26(11):1618-1622, 2019.
• Guobao Xiao, Hanzi Wang*, Yan Yan, Liming Zhang. Robust geometric model fitting based on iterative Hypergraph Construction and Partition. Neurocomputing, 336:115-127,2019.

  Conference

• Shuyuan Lin, Guobao Xiao, Yan Yan, Hanzi Wang*, David Suter. Hypergraph Optimization for Multi-structural Geometric Model Fitting. Proceedings of AAAI Conference on Artificial Intelligence, 2019. [PDF]
• Luo Xiong, Yanjie Liang, Yan Yan, Hanzi Wang*. Correlation filter tracking with adaptive proposal selection for accurate scale estimation. Proceedings of IEEE International Conference on Multimedia & Expo, 2019.
• Xiangbang Meng, Yan Yan*, Si Chen, Hanzi Wang. A cascaded noise-robust deep CNN for face recognition. Proceedings of International Conference on Image Processing, 2019.
• Lijian Lin, Haosheng Chen, Yanjie Liang, Yan Yan, Hanzi Wang*. Robust visual tracking via statistical positive sample generation and gradient aware learning. ACM MM Asia, 2019.

2018

Journal

• Zizhao Zhang*, Fuyong Xing, Hanzi Wang, Yan Yan, Ying Huang, Xiaoshuang Shi, Lin Yang. Revisiting graph construction for fast image segmentation. Pattern Recognition (PR), 78: 344-357, 2018.
• Guanjun Guo, Hanzi Wang*, Wan-Lei Zhao, Yan Yan, Xuelong Li. Object discovery via cohesion measurement. IEEE Transactions on Cybernetics (T-CYB), 48(3): 862-875, 2018. [PDF]
• Ni Zhuang, Yan Yan*, Si Chen, Hanzi Wang, Chunhua Shen. Multi-label learning based deep transfer neural network for facial attribute classification. Pattern Recognition (PR), 80:225-240, 2018. [PDF]
• Guanjun Guo, Hanzi Wang*, Chunhua Shen, Yan Yan, Mark Liao. Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regression. IEEE Transactions on Multimedia (T-MM), 20(8):2073-2085, 2018. [PDF]
• Ying Huang, Yan Yan*, Si Chen, Hanzi Wang. Expression-targeted feature learning for effective facial expression recognition. Journal of Visual Communication and Image Representation, 55, 677-687, 2018.
• Guobao Xiao, Xing Wang, Hailing Luo, Jin Zheng, Bo Li, Yan Yan, Hanzi Wang*. Conceptual space based model fitting for multi-structure data. Neurocomputing 315: 115-127 (2018)

  Conference

• Yanjie Liang, Qiangqiang Wu, Yi Liu, Yan Yan, Hanzi Wang*. Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals, Proceedings of the ACM Multimedia (MM), 2018.
• Qiangqiang Wu, Yan Yan, Yanjie Liang, Hanzi Wang*. DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking. Proceedings of Asian Conference on Computer Vision, ACCV, 2018. [PDF]
• Ni Zhuang, Yan Yan*, Si Chen, Hanzi Wang. Multi-task learning of cascaded CNN for facial attribute classification. Proceedings of the IEEE Conference on Pattern Recognition (ICPR), 2018. [PDF]
• Yihan Du, Yan Yan*, Si Chen, Yang Hua, Hanzi Wang. Object-Adaptive LSTM network for visual tracking. Proceedings of the IEEE Conference on Pattern Recognition (ICPR), 2018.
• Chunguang Qie, Guo Guanjun, Yan Yan, Zhang Liming, Hanzi Wang*. Improved correlation filter tracking with hard negative mining. Proceedings of the IEEE Conference on Pattern Recognition (ICPR), 2018.
• Jian Liao, Guanjun Guo, Yan Yan, Hanzi Wang*. Multiscale cascaded scene-specifc convolutional neural networks for background subtraction. Proceedings of the Pacific-Rim Conference on Multimedia (PCM), 2018.

Before 2018

Teaching

• Undergradute Course: Digital Signal Processing
• Undergradute Course: Introduction to Computer Science and Technology

Collaborators

Hanzi Wang Xiamen University, China

Jing-Hao Xue Department of Statistical Science, University College London, UK

Chunhua Shen University of Adelaide, Australia

David Suter Edith Cowan University, Australia

Yang Hua Queen’s University Belfast, UK

Si Chen Xiamen University of Technology, China

Contact

Yan Yan

Address: Computer Science Department, Xiamen University, Fujian, China.

严严

地址：中国厦门大学计算机科学系

E-mail: yanyan at xmu.edu.cn