Di Huang (黄 迪) Ph.D., Professor, IEEE Senior Member and CCF/CAAI Distinguished Member Intelligent Recognition and Image Processing Lab School of Computer Science and Engineering Beihang University (formerly known as Beijing University of Aeronautics and Astronautics, BUAA) Address: Room G906, New Main Building, No.37, Xueyuan Road, Haidian District, Beijing, China, 100191 Tel.: +86-10-82316379; Email: dhuang (at) buaa (dot) edu (dot) cn [Work Experience][Education][Research Interests][Publications][Projects][Professional Activities][Teaching][Honors and Awards][Hobbies] Homepage

News [More]

Our paper, titled “3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling” is accepted by AAAI Conference on Artificial Intelligence, 2025 (10 Dec. 2024).

Our paper, titled “Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation” is accepted by AAAI Conference on Artificial Intelligence, 2025 (10 Dec. 2024).

Our paper, titled “Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images” is accepted by AAAI Conference on Artificial Intelligence, 2025 (10 Dec. 2024).

Our paper, titled “Multi-Grained Contrastive Learning for Text-supervised Open-vocabulary Semantic Segmentation” is accepted by ACM Transactions on Multimedia Computing Communications and Applications, 2024 (10 Dec. 2024).

Our paper, titled “CMAE-3D: Contrastive Masked AutoEncoders for Self-Supervised 3D Object Detection” is accepted by International Journal of Computer Vision (26 Nov. 2024).

Dr. Huang is awarded the Outstanding Reviewer at BMVC 2024 (4 Nov. 2024).

Our paper, titled “ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations” is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (11 Oct. 2024).

Our paper, titled “Active Perception for Grasp Detection via Neural Graspness Field” is accepted by Annual Conference on Neural Information Processing Systems, 2024 (26 Sep. 2024).

Our paper, titled “Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner” is accepted by Annual Conference on Neural Information Processing Systems, 2024 (26 Sep. 2024).

Our paper, titled “Deep Common Feature Mining for Efficient Video Semantic Segmentation” is accepted by IEEE Transactions on Circuits and Systems for Video Technology (2 Aug. 2024).

Work Experience

• 2020.12~Present, Professor, Intelligent Recognition and Image Processing Lab (IRIP), School of Computer Science and Engineering (SCSE), Beihang University (BUAA).
• 2024.11~2024.12, Visiting Scholar, Département Mathématiques Informatique (MI), Ecole Centrale de Lyon (ECL).
• 2019.01~2019.02, Visiting Scholar, Département Mathématiques Informatique (MI), Ecole Centrale de Lyon (ECL).
• 2017.01~2017.02, Visiting Scholar, Département Mathématiques Informatique (MI), Ecole Centrale de Lyon (ECL).
• 2015.08~2020.11, Associate Professor, Intelligent Recognition and Image Processing Lab (IRIP), School of Computer Science and Engineering (SCSE), Beihang University (BUAA).
• 2014.09~2015.01, Visiting Scholar, Department of Computer and Information Science (CIS), Faculty of Science and Technology (FST), University of Macau (UM).
• 2014.01~2014.04, Visiting Scholar, Biometrics Research Centre (BRC), Department of Computing (COMP), Hong Kong Polytechnic University (PolyU).
• 2011.12~2015.07, Assistant Professor, Intelligent Recognition and Image Processing Lab (IRIP), School of Computer Science and Engineering (SCSE), Beihang University (BUAA).

Education

• 2008~2011, Ph.D. in Département Mathématiques Informatique (Department of Mathematics and Computer Science), Ecole Centrale de Lyon, Lyon, France.
• 2005~2008, M.S. in School of Computer Science and Engineering, Beihang University, Beijing, China.
• 2001~2005, B.S. in School of Computer Science and Engineering, Beihang University, Beijing, China.

Research Interests

Computer Vision; Pattern Recognition; Representation Learning; Biometrics; etc.

Selected Publications [Google Scholar]

Books/Book Chapters:

• D. Huang and H. Yang: 3D Face Recognition, Chapter in Handbook of Face Recognition, Stan Z. Li, Anil K. Jain, and Jiankang Deng (Eds.), Springer, ISBN: 978-3-031-43567-6, Dec. 2023.
• M. Ardabilian, P. Szeptycki, D. Huang, and L. Chen: 3D Face Recognition, Chapter in Signal and Image Processing for Biometrics, Amine Naït-Ali and Régis Fournier (Eds.), ISTE Wiley, ISBN: 978-1-84821-385-2, Jun. 2012.

Preprints:

• S. Liu, D. Huang, and Y. Wang: Learning Spatial Fusion for Single-Shot Object Detection, arXiv preprint arXiv:1911.09516, 2019.

Online and Accepted Papers:

• Z. Tang, H. Yang, H. Zhang, J. Chen, and D. Huang: 3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling, AAAI Conference on Artificial Intelligence (AAAI), 2025.
• Y. Liu, G. Wang, J. Zhang, Q. Liu, and D. Huang: Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation, AAAI Conference on Artificial Intelligence (AAAI), 2025.
• Y. Li, C. Lv, H. Yang, and D. Huang: Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images, AAAI Conference on Artificial Intelligence (AAAI), 2025.
• H. Ma, M. Shi, B, Gao, and D. Huang: Active Perception for Grasp Detection via Neural Graspness Field, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
• H. Zhong, J. Chen, Y. Zhang, D. Huang, and Y. Wang: Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
• Y. Liu, P. Ge, G. Wang, Q. Liu, and D. Huang: Multi-Grained Contrastive Learning for Text-supervised Open-vocabulary Semantic Segmentation, ACM Transactions on Multimedia Computing Communications and Applications (ACM-TOMM), 2024.
• Y. Zhang, J. Chen, and D. Huang: CMAE-3D: Contrastive Masked AutoEncoders for Self-Supervised 3D Object Detection, International Journal of Computer Vision (IJCV).
• M. Zheng, H. Zhang, H. Yang, L. Chen, and D. Huang: ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI).
• Y. Zheng, H. Yang, and D. Huang: Deep Common Feature Mining for Efficient Video Semantic Segmentation, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT).
• Y. Zhang, C. Zhou, and D. Huang: STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning, IEEE Transactions on Intelligent Vehicles (IEEE-TIV).

Journal Papers:

• Y. Li, Y. Zhang, H. Yang, B. Chen, and D. Huang: SA³WT: Adaptive Wavelet-based Transformer with Self-paced Auto Augmentation for Face Forgery Detection, International Journal of Computer Vision (IJCV), 132(10): 4417-4439, 2024.
• J. Zhang, J. Liu, D. Li, Q. Huang, J. Chen, and D. Huang: OTAMatch: Optimal Transport Assignment with PseudoNCE for Semi-supervised Learning, IEEE Transactions on Image Processing (IEEE-TIP), 33: 4231-4244, 2024.
• C. Li, X. Li, X. Wang, D. Huang, Z. Liu, and L. Liao: FG-AGR: Fine-Grained Associative Graph Representation for Facial Expression Recognition in the Wild, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 34(2): 882-896, 2024. ESI-Highly Cited Paper as of July/August 2024
• L. Kong, W. Zhou, D. Pei, Z. He, and D. Huang: Group Activity Representation Learning with Long-Short States Predictive Transformer, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 33(12): 7267-7281, 2023.
• D. Pei, D. Huang, L. Kong, and Y. Wang: Key Role Guided Transformer for Group Activity Recognition, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 33(12): 7803-7818, 2023.
• X. Wang, Y. Wang, W. Li, Z. Du, and D. Huang: Facial Expression Animation by Landmark Guided Residual Module, IEEE Transactions on Affective Computing (IEEE-TAC), 14(2): 878-894, 2023.
• H. Wang, R. Yang, D. Huang, and Y. Wang: iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization, IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 34(4): 1945-1957, 2023.
• X. Zhu, C. Yu, D. Huang, H. Wang, Z. Lei, and S. Z. Li: Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), 45(2): 1442-1457, 2023.
• L. Kong, D. Pei, R. He, D. Huang, and Y. Wang: Spatio-Temporal Player Relation Modeling for Tactic Recognition in Sports Videos, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 32(9): 6086-6099, 2022.
• R. Qin, Q. Liu, G. Gao, D. Huang, and Y. Wang: MRDet: A Multihead Network for Accurate Rotated Object Detection in Aerial Images, IEEE Transactions on Geoscience and Remote Sensing (IEEE-TGRS), 60: 1-12 (5608412), 2022.
• Z. Du, S. Wu, D. Huang, W. Li, and Y. Wang: Spatio-Temporal Encoder-Decoder Fully Convolutional Network for Video-based Dimensional Emotion Recognition, IEEE Transactions on Affective Computing (IEEE-TAC), 12(3): 565-578, 2021.
• W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, D. Huang, and G. Guo: A Survey on Dorsal Hand Vein Biometrics, Pattern Recognition (PR), 120: 108122, 2021.
• H. Yang, D. Huang, Y. Wang, and A. K. Jain: Learning Continuous Face Age Progression: A Pyramid of GANs, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), 43(2): 499-515, 2021.
• L. Kong, D. Huang, and Y. Wang: Long-Term Action Dependence based Hierarchical Deep Association for Multi-Athlete Tracking in Sports Videos, IEEE Transactions on Image Processing (IEEE-TIP), 29: 7957-7969, 2020.
• S. Liu, D. Huang, and Y. Wang: Pay Attention to Them: Deep Reinforcement Learning based Cascade Object Detection, IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 31(7): 2544-2556, 2020.
• Y. Lv, L. Luo, D. Huang, Y. Wang, and L. Chen: Knowledge Transfer in Vision Recognition: A Survey, ACM Computing Surveys (ACM-CSUR), 53(2): 1-35, 2020.
• L. Kong, D. Huang, J. Qin, and Y. Wang: A Joint Framework for Athlete Tracking and Action Recognition in Sports Videos, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 30(2): 532-548, 2020.
• L. Fei, B. Zhang, Y. Xu, D. Huang, W. Jia, and J. Wen: Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 30(2): 468-481, 2020.
• Q. Zhen, D. Huang, H. Drira, B. Ben Amor, Y. Wang, and M. Daoudi: Magnifying Subtle Facial Motions for Effective 4D Expression Recognition, IEEE Transactions on Affective Computing (IEEE-TAC), 10(4): 524-536, 2019.
• J. Sun, D. Huang, Y. Wang, and L. Chen: Expression Robust 3D Facial Landmarking via Progressive Coarse-to-Fine Tuning, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM-TOMM), 15(1) 21: 1-21: 23, 2019.
• H. Wang, D. Huang, K. Jia, and Y. Wang: Hierarchical Image Segmentation Ensemble for Objectness in RGB-D Images, IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), 29(1): 93-103, 2019.
• Y. Yao, D. Huang, X. Yang, Y. Wang, and L. Chen: Texture and Geometry Scattering Representation-based Facial Expression Recognition in 2D+3D Videos, ACM Transactions on Multimedia Computing Communications and Applications (ACM-TOMM), 14(1s) 18: 1-18: 23, 2018.
• Q. Zhen, D. Huang, Y. Wang, and L. Chen: Muscular Movement Model based Automatic 3D/4D Facial Expression Recognition, IEEE Transactions on Multimedia (IEEE-TMM), 18(7): 1438-1450, 2016.
• H. Yang, D. Huang, Y. Wang, H. Wang, and Y. Tang: Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation, IEEE Transactions on Image Processing (IEEE-TIP), 25(6): 2493-2507, 2016.
• D. Huang, Y. Tang, Y. Wang, L. Chen, and Y. Wang: Hand-dorsa Vein Recognition by Matching Local Features of Multisource Keypoints, IEEE Transactions on Cybernetics (IEEE-TCYB), 45(9): 1823-1837, 2015.
• H. Li, D. Huang, J.-M. Morvan, Y. Wang, and L. Chen: Towards 3D Face Recognition in the Real: A Registration-Free Approach using Fine-Grained Matching of 3D Keypoint Descriptors, International Journal of Computer Vision (IJCV), 113(2): 128-142, 2015.
• D. Weng, Y. Wang, M. Gong, D. Tao, H. Wei, and D. Huang: DERF: Distinctive Efficient Robust Features from the Biological Modeling of the P Ganglion Cells. IEEE Transactions on Image Processing (IEEE-TIP), 24(8): 2287-2302, 2015. [Code]
• D. Huang, C. Zhu, Y. Wang, and L. Chen: HSOG: A Novel Local Image Descriptor based on Histograms of the Second Order Gradients, IEEE Transactions on Image Processing (IEEE-TIP), 23(11): 4680-4695, 2014. [Code]
• M. Hu, Y. Wang, Z. Zhang, J. J. Little, and D. Huang: View-Invariant Discriminative Projection for Multi-View Gait-based Human Identification, IEEE Transactions on Information Forensics and Security (IEEE-TIFS), 8(12): 2034-2045, 2013.
• P. Liu, Y. Wang, D. Huang, Z. Zhang, and L. Chen: Learning the Spherical Harmonic Features for 3-D Face Recognition, IEEE Transactions on Image Processing (IEEE-TIP), 22(3): 914-925, 2013.
• D. Huang, M. Ardabilian, Y. Wang, and L. Chen: 3-D Face Recognition using eLBP-based Facial Description and Local Feature Hybrid Matching, IEEE Transactions on Information Forensics and Security (IEEE-TIFS), 7(5): 1551-1565, 2012.
• D. Huang, C. Shan, M. Ardabilian, Y. Wang, and L. Chen: Local Binary Patterns and Its Application to Facial Image Analysis: A Survey, IEEE Transactions on Systems, Man, and Cybernetics, Part C (IEEE-TSMCC): Applications and Reviews, 41(6): 765-781, 2011. ESI-Highly Cited Paper as of March/April 2015

Conference Papers:

2024

• Z. Cai, S. Liu, G. Wang, Z. Li, Z. Ge, X. Zhang, and D. Huang: Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss, British Machine Vision Conference (BMVC), Glasgow, UK, 2024.
• Y. Gao, Y. Zhang, Z. Huang, N. Liu, and D. Huang: PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection, ACM Multimedia Conference (MM), Melbourne, Australia, 2024.
• H. Wang, Y. Bao, Z. Li, P. Pan, X. Liu, R. Yang, and D. Huang: Multi-modal Relation Distillation for Unified 3D Representation Learning, European Conference on Computer Vision (ECCV), Milan, Italy, 2024.
• Z. Cai, Y. Gao, Y. Zheng, N. Zhou, and D. Huang: Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes, European Conference on Computer Vision (ECCV), Milan, Italy, 2024.
• Z. Wu, J. Chen, H. Zhong, D. Huang, and Y. Wang: AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer, European Conference on Computer Vision (ECCV), Milan, Italy, 2024.
• H. Li, H. Yang, and D. Huang: Progressive Self-supervised Representation Learning for 3D Facial Expression Recognition, IEEE International Joint Conference on Biometrics (IJCB), Buffalo, USA, 2024 (Oral).
• H. Ma, M. Shi, B. Gao, and D. Huang: Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
• X. Guo, J. Liu, M. Cui, J. Li, H. Yang, and D. Huang: InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
• H. Li, H. Yang, and D. Huang: DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Istanbul, Turkey, 2024 (Oral, Honorable Mention for the Best Student Paper).
• G. Li, H. Yang, D. Huang, and Y. Wang: 3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Istanbul, Turkey, 2024.
• H. Ma, R. Qin, M. Shi, B. Gao, and D. Huang: Sim-to-Real Grasp Detection with Global-to-Local RGB-D Adaptation, IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024.
• G. Wang, Y. Wang, X. Bao, and D. Huang: Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification, International Conference on Learning Representations (ICLR), Vienna, Austria, 2024 (Spotlight).

2023

• B. Li, J. Chen, X. Bao, and D. Huang: Compressed Video Prompt Tuning, Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.
• L. Jiang, J. Chen, D. Huang, and Y. Wang: MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection, ACM Multimedia Conference (MM), Ottawa, Canada, 2023.
• W. Xiang, H. Yang, D. Huang, and Y. Wang: Denoising Diffusion Autoencoders are Unified Self-supervised Learners, IEEE International Conference on Computer Vision (ICCV), Paris, France, 2023 (Oral).
• N. Zhou, J. Chen, and D. Huang: DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration, IEEE International Conference on Computer Vision (ICCV), Paris, France, 2023.
• G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao, and D. Huang: Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection, IEEE International Conference on Computer Vision (ICCV), Paris, France, 2023.
• B. Du, Y. Huang, J. Chen, and D. Huang: Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
• C. Zhou, Y. Zhang, J. Chen, and D. Huang: OcTr: Octree-based Transformer for 3D Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
• M. Zheng, H. Zhang, H. Yang, and D. Huang: NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
• R. Qin, H. Ma, B. Gao, and D. Huang: RGB-D Grasp Detection via Depth Guided Learning with Cross-modal Attention, IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023.
• K. Li, H. Yang, B. Chen, P. Li, B. Wang, and D. Huang: Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing, AAAI Conference on Artificial Intelligence (AAAI), Washington D. C., USA, 2023.
• X. Yin, D. Huang, Z. Fu, Y. Wang, and L. Chen: Segmentation-Reconstruction-Guided Facial Image De-occlusion, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Hawaii, USA, 2023.
• X. Yin, D. Huang, Z. Fu, Y. Wang, and L. Chen: Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Hawaii, USA, 2023.

2022

• H. Ma and D. Huang: Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes, Conference on Robot Learning (CoRL), Auckland, New Zealand, 2022.
• G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao, and D. Huang: Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles, European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022.
• J. Ni, N. Zhou, J. Qin, Q. Wu, J. Liu, B. Li, and D. Huang: Motion Sensitive Contrastive Learning for Self-supervised Video Representation, European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022.
• W. Xiang, H. Yang, D. Huang, and Y. Wang: Multi-view Gait Video Synthesis, ACM Multimedia Conference (MM), Lisbon, Portugal, 2022.
• X. Yin, D. Huang, and L. Chen: Non-Deterministic Face Mask Removal based on 3D Priors, IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
• B. Li, J. Chen, D. Zhang, X. Bao, and D. Huang: Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement, International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022.
• Y. Zhang, J. Chen, and D. Huang: CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
• J. Wu, J. Chen, M. He, Y. Wang, B. Li, B. Ma, W. Gan, W. Wu, Y. Wang, and D. Huang: Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022 (Oral).
• J. Wu, J. Chen, and D. Huang: Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
• M. Zheng, H. Yang, D. Huang, and L. Chen: ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
• B. Lei, X. Guo, H. Yang, M. Cui, X. Xie, and D. Huang: ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
• Y. Huang, J. Chen, and D. Huang: UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery, AAAI Conference on Artificial Intelligence (AAAI), Virtual, 2022.
• Z. Yang, J. Qin, and D. Huang: ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization, AAAI Conference on Artificial Intelligence (AAAI), Virtual, 2022.

2021

• X. Wang, W. Li, and D. Huang: Expression-Latent-Space-guided GAN for Facial Expression Animation based on Discrete Labels, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Jodhpur, India (Virtual), 2021.
• G. Wang, S. Han, E. Ding, and D. Huang: Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection, British Machine Vision Conference (BMVC), UK (Virtual), 2021.
• H. Ma, H. Yang, and D. Huang: Boundary Guided Context Aggregation for Semantic Segmentation, British Machine Vision Conference (BMVC), UK (Virtual), 2021.
• G. Zhou, H. Wang, J. Chen, and D. Huang: PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation, IEEE International Conference on Computer Vision (ICCV), Montreal, Canada (Virtual), 2021.
• X. Guo, H. Yang, and D. Huang: Image Inpainting via Conditional Texture and Structure Dual Generation, IEEE International Conference on Computer Vision (ICCV), Montreal, Canada (Virtual), 2021.
• J. Ni, J. Qin, and D. Huang: Identity-aware Graph Memory Network for Action Detection, ACM Multimedia Conference (MM), Chengdu, China, 2021.
• M. Qi, J. Qin, D. Huang, Z. Shen, Y. Yang, and J. Luo: Latent Memory-augmented Graph Transformer for Visual Storytelling, ACM Multimedia Conference (MM), Chengdu, China, 2021.
• Y. Wang, Y. Zheng, B. Gao, and D. Huang: Double-Dot Network for Antipodal Grasp Detection, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021.
• G. Mu, D. Huang, W. Li, G. Hu, and Y. Wang: Refining Single Low-Quality Facial Depth Map by Lightweight and Efficient Deep Model, IEEE International Joint Conference on Biometrics (IJCB), Shenzhen, China (Virtual), 2021.
• Z. Yang, D. Huang, J. Qin, and Y. Wang: Human-aware Coarse-to-Fine Online Action Detection, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada (Virtual), 2021.
• Y. Zhang, D. Huang, and Y. Wang: PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection, AAAI Conference on Artificial Intelligence (AAAI), Virtual, 2021.

2020

• B. Li, L. Kong, D. Zhang, X. Bao, D. Huang, and Y. Wang: Towards Practical Compressed Video Action Recognition: A Temporal Enhanced Multi-Stream Network, IEEE International Conference on Pattern Recognition (ICPR), Milan, Italy (Virtual), 2020.
• S. Chen, W. Li, H. Yang, D. Huang, and Y. Wang: 3D Face Mask Anti-spoofing via Deep Fusion of Dynamic Texture and Shape Clues, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Buenos Aires, Argentina (Virtual), 2020.
• M. Qi, J. Qin, X. Zhen, D. Huang, Y. Yang, and J. Luo: Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks, ACM Multimedia Conference (MM), Seattle, USA (Virtual), 2020.
• X. Yin, D. Huang, H. Yang, Z. Fu, Y. Wang, and L. Chen: Pixel Sampling for Style Preserving Face Pose Editing, IEEE International Joint Conference on Biometrics (IJCB), Houston, USA (Virtual), 2020.
• K. Zhu, Y. Wang, H. Yang, D. Huang, and L. Chen: Intensity Enhancement via GAN for Multimodal Facial Expression Recognition, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE (Virtual), 2020.
• J. Wu, S. Liu, D. Huang, and Y. Wang: Multi-Scale Positive Sample Refinement for Few-Shot Object Detection, European Conference on Computer Vision (ECCV), Glasgow, UK (Virtual), 2020.
• X. Zhu, F. Yang, D. Huang, C. Yu, H. Wang, J. Guo, Z. Lei, and S. Z. Li: Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction, European Conference on Computer Vision (ECCV), Glasgow, UK (Virtual), 2020.
• Y. Zheng, D. Huang, S. Liu, and Y. Wang: Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA (Virtual), 2020.
• M. Wu, D. Huang, Y. Guo, and Y. Wang: Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism, AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020 (Oral).

2019

• M. Jia, H. Yang, D. Huang, and Y. Wang: Attacking Gait Recognition Systems via Silhouette Guided GANs, ACM Multimedia Conference (MM), Nice, France, 2019 (Oral).
• L. Gao, D. Huang, Y. Guo, and Y. Wang: Pedestrian Attribute Recognition via Hierarchical Multi-task Learning and Correlation Attention, ACM Multimedia Conference (MM), Nice, France, 2019.
• S. Wu, Z. Du, W. Li, D. Huang, and Y. Wang: Continuous Emotion Recognition in Videos by Fusing Facial Expression, Head Pose and Eye Gaze, ACM International Conference on Multimodal Interaction (ICMI), Suzhou, China, 2019.
• G. Mu, D. Huang, G. Hu, J. Sun, and Y. Wang: Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-quality 3D Faces, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. [Database]
• S. Liu, D. Huang, and Y. Wang: Adaptive NMS: Refining Pedestrian Detection in a Crowd, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019 (Oral).
• Y. Zheng, D. Huang, W. Li, S. Wang, and Y. Wang: 2D-3D Heterogeneous Face Recognition based on Deep Coupled Spectral Regression, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Long Beach, USA, 2019.
• Z. Du, W. Li, D. Huang, and Y. Wang: Encoding Visual Behaviors with Attentive Temporal Convolution for Depression Prediction, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, France, 2019.
• K. Zhu, Z. Du, W. Li, D. Huang, Y. Wang, and L. Chen: Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, France, 2019.

2018

• Z. Du, W. Li, D. Huang, and Y. Wang: Bipolar Disorder Recognition via Multi-scale Discriminative Audio Temporal Representation, ACM Multimedia Conference (MM) Workshop: Audio/Visual Emotion Challenge (AVEC), Seoul, Korea, 2018.
• Z. Chen, D. Huang, Y. Wang, and L. Chen: Fast and Light Manifold CNN based 3D Facial Expression Recognition across Pose Variations, ACM Multimedia Conference (MM), Seoul, Korea, 2018.
• L. Gao, W. Li, Z. Huang, D. Huang, and Y. Wang: Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
• S. Liu, D. Huang, and Y. Wang: Receptive Field Block Net for Accurate and Fast Object Detection, European Conference on Computer Vision (ECCV), Munich, Germany, 2018. [Code]
• H. Yang, D. Huang, Y. Wang, and A. K. Jain: Learning Face Age Progression: A Pyramid Architecture of GANs, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018 (Oral). [Code]
• X. Wang, W. Li, G. Mu, D. Huang, and Y. Wang: Facial Expression Synthesis by U-Net Conditional Generative Adversarial Networks, ACM International Conference on Multimedia Retrieval (ICMR), Yokohama, Japan, 2018.
• W. Li, D. Huang, H. Li, and Y. Wang: Automatic 4D Facial Expression Recognition using Dynamic Geometrical Image Network, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Xi’an, China, 2018.
• L. Kong, J. Qin, D. Huang, Y. Wang, and L. Van Gool: Hierarchical Attention and Context Modeling for Group Activity Recognition, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 2018.
• P. Wu, D. Huang, and Y. Wang: REVT: Robust and Efficient Visual Tracking by Region-Convolutional Regression Network, International Conference on MultiMedia Modeling (MMM), Bangkok, Thailand, 2018.

2017

• S. Wang, D. Huang, Y. Wang, and Y. Tang: 2D-3D Heterogeneous Face Recognition based on Deep Canonical Correlation Analysis, Chinese Conference on Biometric Recognition (CCBR), Shenzhen, China, 2017 (Best Student Paper Award).
• C. T. Madongo, D. Huang, and J. Chen: Person Re-identification by Integrating Static Texture and Shape Cues, Chinese Conference on Biometric Recognition (CCBR), Shenzhen, China, 2017 (Best Poster Paper Award).
• Y. Xia, D. Huang, and Y. Wang: Detecting Smiles of Young Children via Deep Transfer Learning, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Venice, Italy, 2017 (Best Paper Award).
• Q. Chen, Y. Wang, Z. Liu, Q. Liu, and D. Huang: Feature Map Pooling for Cross-view Gait Recognition based on Silhouette Sequence Images, IEEE/IAPR International Joint Conference on Biometrics (IJCB), Denver, USA, 2017.

2016

• Q. Zhen, D. Huang, Y. Wang, H. Drira, B. Ben Amor, and M. Daoudi: Magnifying Subtle Facial Motions for 4D Expression Recognition, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016.
• X. Ma, D. Huang, Y. Wang, and Y. Wang: Cost-sensitive Two-stage Depression Prediction using Dynamic Visual Clues, Asian Conference on Computer Vision (ACCV), Taipei, Taiwan, 2016.
• X. Ma, H. Yang, Q. Chen, D. Huang, and Y. Wang: DepAudioNet: An Efficient Deep Model for Audio based Depression Classification, ACM Multimedia Conference (MM) Workshop: Audio/Visual Emotion Challenge (AVEC), Amsterdam, Netherlands, 2016.
• J. Guo, J. Xu, S. Liu, D. Huang, and Y. Wang: Occlusion-robust Face Detection using Shallow and Deep Proposal based Faster R-CNN, Chinese Conference on Biometric Recognition (CCBR), Chengdu, China, 2016 (Best Paper Award, 1 out of 138 Submissions).
• X. Li, D. Huang, R. Zhang, Y. Wang, and X. Xie: Hand Dorsal Vein Recognition by Matching Width Skeleton Models, IEEE International Conference on Image Processing (ICIP), Phoenix, USA, 2016.
• R. Zhang, D. Huang, and Y. Wang: Textured Detailed Graph Model for Dorsal Hand Vein Recognition: A Holistic Approach, IEEE International Conference on Biometrics (ICB), Halmstad, Sweden, 2016 (Best Poster Paper Award).
• J. Zhang, D. Huang, Y. Wang, and J. Sun: Lock3DFace: A Large-Scale Database of Low-Cost Kinect 3D Faces, IEEE International Conference on Biometrics (ICB), Halmstad, Sweden, 2016.
• J. Lu, D. Huang, Y. Wang, and L. Kong: Scaling and Occlusion Robust Athlete Tracking in Sports Videos, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016.

2015

• R. Zhang, D. Huang, Y. Wang, and Y. Wang: Improving Feature based Dorsal Hand Vein Recognition through Random Keypoint Generation and Fine-Grained Matching, IEEE International Conference on Biometrics (ICB), Phuket, Thailand, 2015.
• W. Zhang, X. Zhao, D. Huang, J.-M. Morvan, Y. Wang, and L. Chen: Illumination-Normalized Face Recognition using Chromaticity Intrinsic Image, IEEE International Conference on Biometrics (ICB), Phuket, Thailand, 2015.
• Y. Tang, X. Sun, D. Huang, J.-M. Morvan, Y. Wang, and L. Chen: 3D Face Recognition with Asymptotic Cones based Principal Curvatures, IEEE International Conference on Biometrics (ICB), Phuket, Thailand, 2015.
• X. Yang, D. Huang, Y. Wang, and L. Chen: Automatic 3D Facial Expression Recognition using Geometric Scattering Representation, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Ljubljana, Slovenia, 2015.
• Q. Zhen, D. Huang, Y. Wang, and L. Chen: Muscular Movement Model based Automatic 3D Facial Expression Recognition, International Conference on MultiMedia Modeling (MMM), Sydney, Australia, 2015.

2014

• D. Huang, J. Sun, X. Yang, D. Weng, and Y. Wang: 3D Face Analysis: Advances and Perspectives, Chinese Conference on Biometric Recognition (CCBR), Shenyang, China, 2014 (Invited Paper).
• H. Yang, D. Huang, and Y. Wang: Age Invariant Face Recognition based on Texture Embedded Discriminative Graph Model, IEEE/IAPR International Joint Conference on Biometrics (IJCB), Florida, USA, 2014 (Best Reviewed Paper).
• J. Sun, D. Huang, Y. Wang, and L. Chen: A Coarse-to-Fine Approach to Robust 3D Facial Landmarking via Curvature Analysis and Active Normal Model, IEEE/IAPR International Joint Conference on Biometrics (IJCB), Florida, USA, 2014.
• X. Sun, D. Huang, Y. Wang, and J. Qin: Action Recognition based on Kinematic Representation of Video Data, IEEE International Conference on Image Processing (ICIP), Paris, France, 2014.
• W. Zhang, D. Huang, D. Samaras, J.-M. Morvan, Y. Wang, and L. Chen: 3D Assisted Face Recognition via Progressive Pose Estimation, IEEE International Conference on Image Processing (ICIP), Paris, France, 2014.

2013

• H. Wei, Q. Liu, Y. Wang, C. Zhu, and D. Huang: Texture Classification via Local Feature Representation of Multi-Order Gradients, Pacific-Rim Conference on Multimedia (PCM), Nanjing, China, 2013.
• D. Weng, Y. Wang, H. Wei, and D. Huang: A Wavelet Model of Ganglion Cells Array and Its Application in Image Representation, Pacific-Rim Conference on Multimedia (PCM), Nanjing, China, 2013.
• X. Zhu, D. Huang, and Y. Wang: Hand Dorsal Vein Recognition based on Shape Representation of the Venous Network, Pacific-Rim Conference on Multimedia (PCM), Nanjing, China, 2013.
• H. Meng*, D. Huang*, H. Wang, H. Yang, M. Al-Shuraifi, and Y. Wang: Depression Recognition based on Dynamic Facial and Vocal Expression Features using Partial Least Square Regression, ACM Multimedia Conference (MM) Workshop: Audio/Visual Emotion Challenge (AVEC), Barcelona, Spain, 2013 (* indicates equal contribution, awarded the best entry for the Affect Recognition Sub-Challenge and ranked the second place for the Depression Recognition Sub-Challenge).
• B. Xia, B. Ben Amor, D. Huang, M. Daoudi, Y. Wang, and H. Drira: Enhancing Gender Classification by Combining 3D and 2D Face Modalities, European Signal Processing Conference (EUSIPCO), Marrakech, Morocco, 2013.
• D. Huang, C. Zhu, C.-E. Bichot, Y. Wang, and L. Chen: HSOG: A Novel Local Descriptor based on Histograms of Second Order Gradients for Object Categorization, ACM International Conference on Multimedia Retrieval (ICMR), Dallas, Texas, USA, 2013.
• X. Zhao, W. Zhang, G. Evangelopoulos, D. Huang, S. Shah, Y. Wang, I. Kakadiaris, and L. Chen: Benchmarking Asymmetric 3D-2D Face Recognition Systems, IEEE International Conference on Automatic Face and Gesture Recognition (FG) Workshop: 3D Face Biometrics, Shanghai, China, 2013.
• H. Ding, D. Huang, Y. Wang, and L. Chen: Facial Ethnicity Classification based on Boosted Local Texture and Shape Descriptions, IEEE International Conference on Automatic Face and Gesture Recognition (FG) Workshop: 3D Face Biometrics, Shanghai, China, 2013.

2012

• D. Huang, Y. Tang, Y. Wang, L. Chen, and Y. Wang: Hand Vein Recognition based on Oriented Gradient Maps and Local Feature Matching, Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012.
• C. Li, B. Ma, Y. Wang, D. Huang, and Z. Zhang: A Secure Semi-Fragile Self-Recoverable Watermarking Algorithm using Group-based Wavelet Quantization, Pacific-Rim Conference on Multimedia (PCM), Singapore, Singapore, 2012.
• B. Ma, Y. Wang, C. Li, Z. Zhang, and D. Huang: A Robust Watermarking Scheme based on Dual Quantization of Wavelet Significant Difference, Pacific-Rim Conference on Multimedia (PCM), Singapore, Singapore, 2012.
• H. Li, L. Chen, D. Huang, Y. Wang, and J.-M. Morvan: 3D Facial Expression Recognition Via Multiple Kernel Learning of Multi-Scale Local Normal Patterns, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 2012.
• Y. Tang, D. Huang, and Y. Wang: Hand-Dorsa Vein Recognition based on Multi-Level Keypoint Detection and Local Feature Matching, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 2012.
• C. Wang, D. Huang, Y. Wang, and G. Zhang: Facial Image-based Gender Classification Using Local Circular Patterns, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 2012.
• B. Ma, C. Li, Y. Wang, Z. Zhang, and D. Huang: Enhancing Biometric Security with Wavelet Quantization Watermarking based Two-Stage Multimodal Authentication, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 2012.
• H. Li, D. Huang, L. Chen, Y. Wang, and J.-M. Morvan: A Group of Facial Normal Descriptors for Recognizing 3D Identical Twins, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington D. C., USA, 2012.
• G. Gou, D. Huang, and Y. Wang: A Novel Video Face Clustering Algorithm based on Divide and Conquer Strategy, Pacific Rim International Conference on Artificial Intelligence (PRICAI), Kuching, Sarawak, Malaysia, 2012.
• G. Gou, D. Huang, and Y. Wang: A Hybrid Local Feature for Face Recognition, Pacific Rim International Conference on Artificial Intelligence (PRICAI), Kuching, Sarawak, Malaysia, 2012.
• W. Ben Soltana, M. Ardabilian, P. Lemaire, D. Huang, P. Szeptycki, L. Chen, N. Erdogmus, L. Daniel, J.-L. Dugelay, B. Ben Amor, H. Drira, M. Daoudi, and J. Colineau: 3D Face Recognition: A Robust Multi-Matcher Approach to Data Degradations, IEEE International Conference on Biometrics (ICB), New Delhi, India, 2012.
• D. Huang, M. Ardabilian, Y. Wang, and L. Chen: Oriented Gradient Maps based Automatic Asymmetric 3D-2D Face Recognition, IEEE International Conference on Biometrics (ICB), New Delhi, India, 2012.
• P. Liu, Y. Wang, D. Huang, and Z. Zhang: Recognizing Occluded 3D Faces using An Efficient ICP Variant, IEEE International Conference on Multimedia and Expo (ICME), Melbourne, Australia, 2012.

2011

• D. Huang, M. Ardabilian, Y. Wang, and L. Chen: A Novel Geometric Facial Representation based on Multi-Scale Extended Local Binary Patterns, IEEE International Conference on Automatic Face and Gesture Recognition (FG), Santa Barbara, CA, USA, 2011.
• D. Huang, W. Ben Soltana, M. Ardabilian, Y. Wang, and L. Chen: Textured 3D Face Recognition using Biological Vision-based Facial Representation and Optimized Weighted Sum Fusion, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Biometrics, Colorado Spring, USA, 2011.
• D. Huang, K. Ouji, M. Ardabilian, Y. Wang, and L. Chen: 3D Face Recognition based on Local Shape Patterns and Sparse Representation Classifier, International Conference on MultiMedia Modeling (MMM), Taipei, Taiwan, 2011.
• H. Li, D. Huang, J.-M. Morvan, and L. Chen: Learning Weighted Sparse Representation of Encoded Facial Normal Information for Expression-Robust 3D Face Recognition, IEEE International Joint Conference on Biometrics (IJCB), Washington D. C., USA, 2011.
• V. Vijayan, K. Bowyer, P. Flynn, D. Huang, L. Chen, M. Hansen, S. Shah, O. Ocegueda, and I. Kakadiaris: Twins 3D Face Recognition Challenge, IEEE International Joint Conference on Biometrics (IJCB), Washington D. C., USA, 2011 (Best Reviewed Paper).
• W. Ben Soltana, D. Huang, M. Ardabilian, L. Chen, and C. Ben Amar: A Mixture of Gated Experts Optimized using Simulated Annealing for 3D Face Recognition, IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011.
• H. Li, D. Huang, P. Lemaire, J.-M. Morvan, and L. Chen: Expression Robust 3D Face Recognition via Mesh-based Histograms of Multiple Order Surface Differential Quantities, IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011.

2010 and Before

• D. Huang, G. Zhang, M. Ardabilian, Y. Wang, and L. Chen: 3D Face Recognition using Distinctiveness Enhanced Facial Representation and Local Feature Hybrid Matching, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington D. C., USA, 2010.
• D. Huang, M. Ardabilian, Y. Wang, and L. Chen: Automatic Asymmetric 3D-2D Face Recognition, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
• X. Zhao, D. Huang, E. Dellandréa, and L. Chen: Automatic 3D Facial Expression Recognition based on A Bayesian Belief Net and A Statistical Facial Feature Model, IEEE/IAPR International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
• W. Ben Soltana, D. Huang, M. Ardabilian, L. Chen, and C. Ben Amar: Comparison of 2D/3D Features and Their Adaptive Score Level Fusion for 3D Face Recognition, International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT), Paris, France, 2010.
• D. Huang, M. Ardabilian, Y. Wang, and L. Chen: Asymmetric 3D/2D Face Recognition based on LBP Facial Representation and Canonical Correlation Analysis, IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009.
• D. Huang, Y. Wang, and Y. Wang: A Robust Method for Near Infrared Face Recognition based on Extended Local Binary Pattern. International Symposium on Visual Computing (ISVC), Lake Tahoe, NV, USA, 2007.

Projects

Principal Investigator:

• 01/2025~12/2027 Clinically Interpretable Multimodal Foundation Model for Personalized Medical Decision-Making in Joint Diseases, supported by National Natural Science Foundation of China (NSFC).
• 12/2024~11/2027 Human-Machine Hybrid Enhanced Intelligence Technology with Machine/Data/Human Connection, supported by National Key Research and Development Program.
• 01/2022~12/2025 Reliable 3D Face Perception in Practical Scenarios, supported by National Natural Science Foundation of China (NSFC).
• 01/2021~12/2023 Visual Pattern Representation, supported by National Natural Science Foundation of China (NSFC).
• 01/2021~12/2022 Synthesis of Images with Multiple Objects, supported by Research Program of State Key Laboratory of Software Development Environment (NLSDE).
• 01/2019~12/2020 Deep Learning based Object Detection in Surveillance Videos, supported by Research Program of State Key Laboratory of Software Development Environment (NLSDE).
• 01/2017~12/2020 Homogeneous and Heterogeneous 3D Face Recognition in Unconstrained Conditions, supported by National Natural Science Foundation of China (NSFC).
• 05/2017~04/2018 Automatic Mental Disorder Prediction through Joint Deep Analysis of Visual, Vocal, and Textual Data, supported by Microsoft Research Asia (MSRA).
• 01/2017~12/2018 Deep Learning based Multi-modal Affect Analysis in Videos, supported by Research Program of State Key Laboratory of Software Development Environment (NLSDE).
• 01/2016~12/2016 Real-world Automatic 3D Face Recognition, supported by National Natural Science Foundation of China (NSFC).
• 01/2015~12/2016 Automatic Person Identification using Hand Vein Patterns, supported by Research Program of State Key Laboratory of Software Development Environment (NLSDE).
• 01/2014~06/2016 Hand Vein Recognition based on Multi-Level and Multi-Modal Modeling, supported by Beijing Natural Science Foundation.
• 01/2013~12/2015 3D Facial Expression Recognition based on Muscular Movement Model, supported by National Natural Science Foundation of China (NSFC).
• 01/2013~12/2015 3D Facial Expression Recognition based on Muscle Region Segmentation and Hierarchical Shape Description, supported by New Teachers' Fund for Doctor Stations of Chinese Ministry of Education (MOE).
• 01/2013~12/2014 Hierarchical Automatic 3D Facial Landmarking, supported by Research Program of State Key Laboratory of Software Development Environment (NLSDE).
• 01/2014~12/2014 Motion Analysis Tool for High-Level Beach Volleyball Players via Sport Video Understanding, supported by National Team Research Projects of Chinese General Administration of Sport.
• 01/2014~12/2014 Affective Video Understanding by Combining Facial, Visual and Audio Modalities, supported by Sino-French LIA2MCIS Laboratory.
• 01/2012~12/2014 Demographical Attribute Classification via 3D Faces, supported by Talent Group Building Program of the National 985 Project of China.
• 03/2012~12/2012 3D Facial Expression Analysis and Its Application to Medical Diagnosis, supported by Fundamental Research Funds for the Central Universities of China.

Key Participant:

• 10/2019~10/2022 Theories and Methods of Multi-modal Heterogeneous Crowd Intelligence Incentive and Convergence, supported by National Key Research and Development Program.
• 07/2016~06/2019 Scene-aware Object Description and Recognition in Videos, supported by National Key Research and Development Program.
• 01/2010~12/2014 Hierarchical Computational Theory and Model of Digital Media, supported by National Basic Research Program of China (973 Program).
• 01/2011~12/2013 3D Face Analyzer, jointly supported by National Natural Science Foundation of China (NSFC) and French National Research Agency (ANR).
• 01/2011~12/2012 3D Face Interpreter, supported by Sino-French LIA2MCIS Laboratory.
• 01/2008~12/2011 Face Analysis and Recognition 3D (FAR3D), supported by French National Research Agency (ANR).
• 01/2005~12/2007 Face Recognition based on the Fusion of 2D and 3D Information, supported by National Natural Science Foundation of China (NSFC).

Professional Activities

Talk:

• Keynote, “Object Detection on Drone Imagery”, at the Forum of Object Detection and Tracking in the 19th CSIG Young Scientist Conference, Guangzhou, China, 2023.
• Keynote, “Faked Face Detection in the Physical and Digital Domain”, at the Forum of Biometric Security and Privacy in the 17th Chinese Conference on Biometric Recognition (CCBR), Xuzhou, China, 2023.
• Keynote, “Face Anti-spoofing and Face Forgery Detection”, at the Workshop of Human Centered Media Computing in the 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xiamen, China, 2023.
• Keynote, “Face Anti-spoofing against Physical and Digital Attacks”, at the Workshop of Biometrics Recognition in the 12th International Conference on Image and Graphics (ICIG), Nanjing, China, 2023.
• Keynote, “Multi-modal Visual Perception”, at the Forum of Cross-modal Interactive Cognition in the 2nd Chinese Congress on Image and Graphics (CCIG), Suzhou, China, 2023.
• Keynote, “Multi-modal Emotion Analysis”, at the Tutorial of Face Analysis beyond Recognition in the 5th IEEE International Joint Conference on Biometrics (IJCB), Shenzhen, China, 2021.
• Keynote, “Visual Pattern Representation: Methodology and Application”, at the Forum for Excellent Young AI Scholars in the 17th China National Computer Congress (CNCC), Beijing, China, 2020.
• Keynote, “3D Face Understanding”, at the Forum of Advanced Face Analysis in the 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xi’an, China, 2019.
• Keynote, “3D Facial Expression Recognition: Advances and Challenges”, at the 2nd IEEE International Workshop on Faces in Multimedia (FacesMM) in conjunction with the 20th IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019.
• Keynote, “3D Face Analysis: Methodology and Application”, at the 9th Chinese Conference on Biometric Recognition (CCBR), Shenyang, China, 2014.
• Keynote, “Advances and Challenges in 3D Face Recognition”, at the 8th Chinese Conference on Biometric Recognition (CCBR), Jinan, China, 2013.

Chair and PC Member:

• TPC Member of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada, 2025.
• Senior PC Member of the 34th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2025.
• Area Chair of the 43rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, 2025.
• TPC Member of the 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Clearwater, USA, 2025.
• TPC Member of the 13th International Conference on Learning Representations (ICLR), Singapore, Singapore, 2025.
• Area Chair of the 25th IEEE Winter Conference on Applications of Computer Vision (WACV), Tucson, USA, 2025.
• TPC Member of the 39th AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, USA, 2025.
• TPC Member of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024.
• TPC Member of the 35th British Machine Vision Conference (BMVC), Glasgow, UK, 2024.
• Workshop Chair of the 10th China Conference on Data Mining (CCDM), Taian, China, 2024.
• Area Chair of the 8th IEEE International Joint Conference on Biometrics (IJCB), Buffalo, USA, 2024.
• TPC Member of the 32nd ACM Multimedia Conference (MM), Melbourne, Australia, 2024.
• TPC Member of the 17th Asian Conference on Computer Vision (ACCV), Hanoi, Vietnam, 2024.
• TPC Member of the 18th European Conference on Computer Vision (ECCV), Milan, Italy, 2024.
• TPC Member of the 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, Korea, 2024.
• TPC Member of the 31st IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.
• TPC Member of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024.
• TPC Member of the 14th ACM International Conference on Multimedia Retrieval (ICMR), Phuket, Thailand, 2024.
• Area Chair of the 27th IEEE International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.
• TPC Member of the 12th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024.
• TPC Member of the 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
• Area Chair of the 42nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
• Area Chair of the 24th IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2024.
• TPC Member of the 17th Chinese Conference on Biometric Recognition (CCBR), Xuzhou, China, 2023.
• Area Chair of the 31st ACM Multimedia Conference (MM), Ottawa, Canada, 2023.
• TPC Member of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023.
• Area Chair of the 3rd CAAI International Conference on Artificial Intelligence (CICAI), Fuzhou, China, 2023.
• Senior PC Member of the 11th International Conference on Affective Computing & Intelligent Interaction (ACII), Cambridge, USA, 2023.
• TPC Member of the 6th China Computer Federation Conference on Artificial Intelligence (CCFAI), Urumqi, China, 2023.
• Area Chair of the 7th IEEE International Joint Conference on Biometrics (IJCB), Ljubljana, Slovenia, 2023.
• TPC Member of the 19th IEEE International Conference on Computer Vision (ICCV), Paris, France, 2023.
• TPC Member of the 40th International Conference on Machine Learning (ICML), Hawaii, USA, 2023.
• TPC Member of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), Cape Town, South Africa, 2023.
• TPC Member of the 30th IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023.
• TPC Member of the 13th ACM International Conference on Multimedia Retrieval (ICMR), Thessaloniki, Greece, 2023.
• TPC Member of the 41st IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
• TPC Member of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington D. C., USA, 2023.
• TPC Member of the 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 2023.
• Publicity Chair of the 17th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Hawaii, USA, 2023.
• TPC Member of the 36th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022.
• TPC Member of the 6th IEEE International Joint Conference on Biometrics (IJCB), Abu Dhabi, UAE, 2022.
• Senior PC Member of the 10th International Conference on Affective Computing & Intelligent Interaction (ACII), Nara, Japan, 2022.
• TPC Member of the 12th ACM International Conference on Multimedia Retrieval (ICMR), Newark, USA, 2022.
• TPC Member of the 29th IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022.
• Area Chair of the 17th European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, 2022.
• Workshop Chair of the 9th China Conference on Data Mining (CCDM), Guilin, China, 2022.
• Program Chair of the 16th Chinese Conference on Biometric Recognition (CCBR), Beijing, China, 2022.
• Competition Chair of the 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Shenzhen, China, 2022.
• Area Chair of the 30th ACM Multimedia Conference (MM), Lisbon, Portugal, 2022.
• TPC Member of the 26th IEEE International Conference on Pattern Recognition (ICPR), Montreal, Canada, 2022.
• TPC Member of the 31st International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022.
• TPC Member of the 39th International Conference on Machine Learning (ICML), Baltimore, USA, 2022.
• Area Chair of the 40th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022.
• TPC Member of the 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, Singapore, 2022.
• Area Chair of the 2nd CAAI International Conference on Artificial Intelligence (CICAI), Beijing, China, 2022.
• TPC Member of the 10th International Conference on Learning Representations (ICLR), Virtual, 2022.
• TPC Member of the 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2022.
• TPC Member of the 22nd IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2022.
• TPC Member of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS), Virtual, 2021.
• TPC Member of the 32nd British Machine Vision Conference (BMVC), Virtual, 2021.
• TPC Member of the 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Beijing, China, 2021.
• Area Chair of the 29th ACM Multimedia Conference (MM), Chengdu, China, 2021.
• Senior PC Member of the 23rd ACM International Conference on Multimodal Interaction (ICMI), Montreal, Canada, 2021.
• TPC Member of the 18th IEEE International Conference on Computer Vision (ICCV), Montreal, Canada, 2021.
• Senior PC Member of the 9th International Conference on Affective Computing and Intelligent Interaction (ACII), Virtual, 2021.
• TPC Member of the 5th China Computer Federation Conference on Artificial Intelligence (CCFAI), Yantai, China, 2021.
• Session Chair of the 34th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021.
• TPC Member of the 15th Chinese Conference on Biometric Recognition (CCBR), Shanghai, China, 2021.
• Senior PC Member of the 30th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, 2021.
• TPC Member of the 11th ACM International Conference on Multimedia Retrieval (ICMR), Taipei, China, 2021.
• Area Chair of the 5th IEEE International Joint Conference on Biometrics (IJCB), Shenzhen, China, 2021.
• Area Chair of the 11th International Conference on Image and Graphics (ICIG), Haikou, China, 2021.
• TPC Member of the 39th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, 2021.
• TPC Member of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, 2021.
• Area Chair of the 1st CAAI International Conference on Artificial Intelligence (CICAI), Hangzhou, China, 2021.
• TPC Member of the 35th AAAI Conference on Artificial Intelligence (AAAI), Virtual, 2021.
• TPC Member of the 21st IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2021.
• Organizer of the International Workshop on 3D Human Understanding (3DHU), in conjunction with ICPR, Milan, Italy, 2020.
• Area Chair of the 25th IEEE International Conference on Pattern Recognition (ICPR), Milan, Italy, 2020.
• TPC Member of the 34th Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2020.
• TPC Member of the 15th Asian Conference on Computer Vision (ACCV), Kyoto, Japan, 2020.
• Organizer of the 3rd International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI), in conjunction with ICMI, Utrecht, Netherlands, 2020.
• TPC Member of the 3rd Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Nanjing, China, 2020.
• Area Chair of the 28th ACM Multimedia Conference (MM), Seattle, USA, 2020.
• Publicity Chair and TPC member of the 4th IEEE International Joint Conference on Biometrics (IJCB), Houston, USA, 2020.
• TPC Member of the 16th European Conference on Computer Vision (ECCV), Glasgow, UK, 2020.
• TPC Member of the 38th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020.
• TPC Member of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020.
• TPC Member of the 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020.
• TPC Member of the 20th IEEE Winter Conference on Applications of Computer Vision (WACV), Colorado, USA, 2020.
• TPC Member of the 32th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.
• Program Chair of the 8th International Workshop on Representation, Analysis and Recognition of Shape and Motion FroM Imaging Data (RFMI), Hammamet, Tunisia, 2019.
• TPC Member of the 17th IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.
• Area Chair of the 27th ACM Multimedia Conference (MM), Nice, France, 2019.
• MC Member of the 9th International Conference on Intelligence Science and Big Data Engineering (IScIDE), Nanjing, China, 2019.
• TPC Member of the 14th Chinese Conference on Biometric Recognition (CCBR), Zhuzhou, China, 2019.
• Senior PC Member of the 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, UK, 2019.
• TPC Member of the 4th China Computer Federation Conference on Artificial Intelligence (CCFAI), Xuzhou, China, 2019.
• Organizer of the 2nd International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI), in conjunction with CVPR, Long Beach, USA, 2019.
• TPC Member of the ChaLearn Looking at People Series: Face Spoofing Attack Workshop and Competition, in conjunction with CVPR, Long Beach, USA, 2019.
• TPC Member of the 37th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
• Publicity Chair of the 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), Lille, France, 2019.
• TPC Member of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 2019.
• TPC Member of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, 2019.
• TPC Member of the 19th IEEE Winter Conference on Applications of Computer Vision (WACV), Hawaii, USA, 2019.
• TPC Member of the 24th IEEE International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
• TPC Member of the 9th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Los Angeles, USA, 2018.
• TPC Member of the 2nd International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), in conjunction with ECCV, Munich, Germany, 2018.
• TPC Member of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI), Nanjing, China, 2018.
• TPC Member of the 4th IEEE International Conference on Multimedia Big Data (BigMM), Xi’an, China.
• TPC Member of the 8th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), in conjunction with CVPR, Salt Lake City, USA, 2018.
• TPC Member of the 26th ACM Multimedia Conference (MM), Seoul, Korea, 2018.
• Poster Chair and MC Member of the 8th International Conference on Intelligence Science and Big Data Engineering (IScIDE), Lanzhou, China, 2018.
• TPC Member of the 13th Chinese Conference on Biometric Recognition (CCBR), Urumqi, China, 2018.
• Organizer of the 1st International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI), in conjunction with FG, Xi’an, China, 2018.
• TPC Member of the 11th IEEE/IAPR International Conference on Biometrics (ICB), Queensland, Australia, 2018.
• TPC Member of the 4th IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Singapore, Singapore, 2018.
• TPC Member of the 7th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), in conjunction with ICCV, Venice, Italy, 2017.
• TPC Member of the 1st International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), in conjunction with ICCV, Venice, Italy, 2017.
• TPC Member of the Workshop of Recognizing Families In the Wild Data Challenge (RFIW), in conjunction with ACM MM, Mountain View, USA, 2017.
• TPC Member of the 3rd IEEE International Joint Conference on Biometrics (IJCB), Denvor, USA, 2017.
• MC Member of the 7th International Conference on Intelligence Science and Big Data Engineering (IScIDE), Dalian, China, 2017.
• TPC Member of the 12th Chinese Conference on Biometric Recognition (CCBR), Shenzhen, China, 2017.
• TPC Member of the 2nd Conference on Computer Vision (CCCV), Tianjin, China, 2017.
• TPC Member of the 3rd China Computer Federation Conference on Artificial Intelligence (CCFAI), Kunming, China, 2017.
• TPC Member of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, USA, 2017.
• Publication Chair of the 11th Chinese Conference on Biometric Recognition (CCBR), Chengdu, China, 2016.
• TPC Member of the 23rd IEEE International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016.
• TPC Member of the 8th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Buffalo, USA, 2016.
• TPC Member of the 9th IEEE/IAPR International Conference on Biometrics (ICB), Halmstad, Sweden, 2016.
• TPC Member of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 2016.
• TPC Member of the 10th Chinese Conference on Biometric Recognition (CCBR), Tianjin, China, 2015.
• TPC Member of the 7th IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Arlington, USA, 2015.
• TPC Member of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, 2015.
• TPC Member of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, 2014.
• TPC Member of the 22nd IEEE International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014.
• TPC Member of the 10th IEEE International Conference on Automatic Face and Gesture Recognition (FG) Workshop, 3D Face Biometrics (3DFB), Shanghai, China, 2013.
• Local Chair of the 1st China Computer Federation Conference on Artificial Intelligence (CCFAI), Beijing, China, 2013.

Editor:

• Guest Editor of ACM Transactions on Multimedia Computing, Communications, and Applications (ACM-TOMM) Special Issue on Face Analysis for Applications.
• Young Associate Editor of Frontiers of Computer Science (FCS).

Reviewer:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI).
• IEEE Transactions on Information Forensics and Security (IEEE-TIFS).
• IEEE Transactions on Image Processing (IEEE-TIP).
• IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS).
• IEEE Transactions on Systems, Man, and Cybernetics: Systems, formerly named IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans (IEEE-TSMCA).
• IEEE Transactions on Cybernetics (IEEE-TCYB), formerly named IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (IEEE-TSMCB).
• IEEE Transactions on Human-Machine Systems (IEEE-THMS), formerly named IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews (IEEE-TSMCC).
• IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT).
• IEEE Transactions on Multimedia (IEEE-TMM).
• IEEE Transactions on Affective Computing (IEEE-TAC).
• IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE-TETCI).
• IEEE Transactions on Instrumentation and Measurement (IEEE-TIM).
• IEEE Transactions on Intelligent Transportation Systems (IEEE-TITS).
• ACM Transactions on Multimedia Computing Communications and Applications (ACM-TOMM).
• International Journal of Computer Vision (IJCV).
• International Journal of Image and Graphics (IJIG).
• International Journal of Robotics and Automation (IJRA).
• Computer Vision and Image Understanding (CVIU).
• Information Fusion (INFFUS).
• Image and Vision Computing (IVC).
• Neurocomputing (NEUCOM).
• Pattern Recognition (PR)
• Pattern Recognition Letters (PRL).

Teaching

• Machine Learning, Undergraduates, BUAA-HC, Spring Semester (2024-)
• Machine Learning, Undergraduates, BUAA-SCSE, Fall Semester (2016-2024)
• Intelligent Computing, Undergraduates, BUAA-SCSE, Fall Semester (2016-2021)
• Methodology of Computer Science, Undergraduates, BUAA-SCSE, Spring Semester (2020-2024)
• Artificial Intelligence, Undergraduates, BUAA, Spring Semester (2021-2022)
• Machine Learning, Graduates, BUAA-SCSE, Fall Semester (2015-2024)
• Scientific Writing and Presentation, Graduates, BUAA-SCSE, Spring and Fall Semester (2022-2024)
• Computer Vision, Graduates, BUAA-IS, Spring Semester (2013-2018)
• Scientific Writing, Graduates, BUAA-IS, Spring Semester (2013-2024)

Honors and Awards

• 2024 Outstanding Reviewer at British Machine Vision Conference
• 2024 Honorable Mention Award of the Best Student Paper at IEEE International Conference on Automatic Face and Gesture Recognition (with H. Li and H. Yang)
• 2024 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: B. Du)
• 2024 Sino-French Young Talent Program by MOST.
• 2023 Outstanding Reviewer at IEEE Conference on Computer Vision and Pattern Recognition
• 2023 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: K. Li)
• 2022 Winner of the OCRTOC track in Robotic Grasping and Manipulation Competitions at IEEE International Conference on Robotics and Automation (with H. Ma, R. Qin, B. Du, J. Dai, and B. Gao)
• 2022 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: J. Huang)
• 2022 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: J. Yang)
• 2022 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: J. Wu)
• 2021 Outstanding Reviewer at British Machine Vision Conference
• 2021 Best Reviewer at Chinese Conference on Biometric Recognition
• 2020 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: G. Mu)
• 2020 Excellent Supervisor Award of Master Thesis in Beihang University (Master Student: M. Wu)
• 2019 Distinguished Contribution Award at China Association of Artificial Intelligence
• 2017 Excellent Young Associate Editor Award of Frontiers of Computer Science
• 2017 Best Student Paper Award at Chinese Conference on Biometric Recognition (with S. Wang, Y. Wang, and Y. Tang)
• 2017 Best Poster Paper Award at Chinese Conference on Biometric Recognition (with C. T. Madongo and J. Chen)
• 2017 Best Paper Award at IEEE International Workshop on Analysis and Modeling of Faces and Gestures (with Y. Xia and Y. Wang)
• 2016 Best Paper Award at Chinese Conference on Biometric Recognition (with J. Guo, J. Xu, S. Liu, and Y. Wang)
• 2016 Best Poster Paper Award at IEEE/IAPR International Conference on Biometrics (with R. Zhang and Y. Wang)
• 2013 Best Entry Award for the Affect Recognition Sub-Challenge of AVEC at ACM Multimedia Conference (with H. Meng, H. Wang, H. Yang, M. Al-Shuraifi, and Y. Wang)
• 2011 Lantian Talent Award in Beihang University
• 2008 Excellent Master Thesis Award in Beihang University
• 2008 Excellent Master Graduate Award in Beihang University
• 2007 Tansuo Award in Beihang University

Non-Academic Hobbies

Racing sports; Traveling; Photography; etc.