· G.Song, X.Tan*, Deep code operation network for multi-label image retrieval, Computer Vision and Image Understanding, 1077-3142, 2020.

· G.Song, X.Tan*, Real-world Cross-modal Retrieval via Sequential Learning, IEEE Transactions on Multimedia, PP(99):1-1, 2020.

· D.Wang, G.Song, X.Tan*, Bayesian denoising hashing for robust image retrieval, Pattern Recognition, 86: 134-142, 2019.

· G.Song, D.Wang, X.Tan*, Deep Memory Network for Cross-modal Retrieval, IEEE Transactions on Multimedia, 21(5):1261-1275, 2019.

· X.Jin, Y.Wang, X.Tan*, Pornographic Image Recognition via Weighted Multiple Instance Learning, IEEE Transactions on Cybernetics, 49(12), 4412-4420,2019.

· W.Zhang, D.Wang, X.Tan*, Robust Class-Specific Autoencoder for Data Cleaning and Classification in the Presence of Label Noise, Neural Processing Letters, 3, 2018.

· D.Wang, X.Tan*, Robust Distance Metric Learning via Bayesian Inference, IEEE Transactions on Image Processing, 27(3):1542-1553, 2018. [data and code] 

· D.Wang, X.Tan*, Bayesian Neighbourhood Component Analysis, IEEE Transactions on Neural Networks and Learning Systems, 29(7): 3140-3151, 2018.

· X.Jin, X.Tan*, Face alignment in-the-wild: a survey, Computer Vision and Image Understanding, 162, 1-12, 2017.

· Y.Cai, S.Tan, X.Tan*, Selective Weakly Supervised Human Detection under Arbitrary Poses , Pattern Recognition, 65, 223-237, 2017. [data and code] 

· G.Song, X.Tan*, Hierarchical deep hashing for image retrieval, Frontiers of Computer Science, 11(2), 253-265, 2017.

· X.Jin, X.Tan*, Face alignment by robust discriminative Hough voting, Pattern Recognition, 60, 318-333, 2016.

·D.Liu, X.Tan*, Local subspace smoothness alignment for constrained local model fitting, Neurocomputing, 214,785-795, 2016.

· D.Wang, X.Tan*, Unsupervised feature learning with C-SVDDNet, Pattern Recognition, 60, 473-485, 2016. [code] 

· X.Qin, X.Tan*, S.Chen, Mixed Bi-subject Kinship Verification Via Multi-view Multi-task Learning, Neurocomputing, 214, 350-357, 2016.

· D.Liu, X.Tan*, Max-margin Non-negative Matrix Factorization with Flexible Spatial Constraints Based on Factor Analysis, Frontiers of Computer Science, (2016),10(2): 302-316 . [data and code] 

.X.Qin, X.Tan*, S.Chen. Tri-Subjects Kinship Verification: Understanding the Core of A Family. IEEE Transactions on Multimedia,  2015, 17(10):1855-1867. [data and code]

· F.Song, X.Tan*,S.chen, Eyes Closeness Detection from Still Images with Multi-scale Histograms of Principal Oriented Gradients, Pattern Recognition, (2014) 2825-2838 . [data and code] 

· M.Chen, X.Tan*, Part-Based Pose Estimation with Local and Non-Local Contextual Information, IET Computer Vsion, 2014 .

· F.Song, X.Tan*,S.chen, Exploiting Relationship between Attributes for Improved Face Verification, Computer Vision and Image Understanding, 122, 143-154, 2014 .

· K.Chen, X.Tan*, Sparse representations based attribute learning for flower classification, Neurocomputing, 145, 416-426, 2014 .

· F.Song, X.Tan*,S.chen, Z-H,Zhou, A Literature Survey on Robust and Efficient Eye Localization in Real-life Scenarios, Pattern Recognition, 46(12), 3157-3173, 2013 .

·N. Liu, X. Zheng, H.Sun, and X. Tan. Two-dimensional bar code out-of-focus deblurring via the Increment Constrained Least Squares filter. Pattern Recognition Letter, 34, 124-130,2013.

· X.Tan and  B.Triggs,  Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, IEEE Transactions on Image Processing,  19(6), 1635-1650,2010. [code for processing only] [full code and data, ~57.6M]

·J. Liu, S. Chen, Z.-H. Zhou, and X. Tan. Generalized low rank approximations of matrices revisited. IEEE Transactions on Neural Networks, 21(4), 621-632,2010.

· L.Qiao, S.Chen,  X.Tan, Sparsity Preserving Discriminant Analysis for Single Training Image Face Recognition, Pattern Recognition Letter,  31(5), 422-429,2010.

· L.Qiao, S.Chen,  X.Tan, Sparsity Preserving Projections with Application to Face Recognition, Pattern Recognition, 43(1), 331-341,2010.

· X.Tan, S.Chen, Z.-H. Zhou, and J. Liu, Face Recognition under Occlusions and Variant Expressions with Partial Similarity, IEEE Transactions on Information Forensics & Security, 2009, 4(2): 217-230.

· X.Tan, S.Chen, Z.-H. Zhou, and F. Zhang, Face Recognition from a Single Image per Person: A Survey, Pattern Recognition, 39(9), pp.1725-1745. 2006. [This paper won the Pattern Recognition Journal 2006 Best Paper Award Honorable Mention]

· X.Tan, S.Chen, Z.-H. Zhou, and F. Zhang, Recognizing Partially Occluded, Expression Variant Faces from Single Training Image per Person with SOM-Based kNN Ensemble. IEEE Transactions on Neural Networks.2005, 16(4): 875-886. [code]

· J.Liu, S. Chen, X.Tan, D.Zhang, Comments on "Efficient and Robust Maximal Margin Criterion, IEEE Transactions on Neural Networks, 18: 1862-4, 2007.

· J. Liu, S. Chen, X.Tan, A Study on three Linear Discriminant Analysis Based Methods in Small Sample Size Problem, Pattern Recognition, 41(1), 102-116, 2008.

· J.Liu, S. Chen, X.Tan, Fractional order Singular Value Decomposition Representation for Face Recognition, Pattern Recognition, 41(1), 378-395, 2008.

· J.Liu, S. Chen, X.Tan, D.Zhang, Efficient Pseudo-inverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 21(8), 1265-1278, 2007

· X.Tan, J.Liu, S.Chen, Sub-intrapersonal Space Analysis for Face Recognition,  Neurocomputing, vol. 69, 1796-1801. 2006.

· X.Tan, Z.Sun, F.Zhang, Relevance Feedback in Interactive Content-based Image Retrieval: the State of Art, Journal of Nanjing University (Nature Vision)·2004. (in Chinese)·（谭晓阳，孙正兴，张福炎，交互式图像检索中的相关反馈技术研究进展，南京大学学报,, 14(5),pp 638-648,2004. )

[International Conference Papers]

· Z.Zhang, X.Tan*, An Implicit Trust Region Approach to Behavior Regularized Offline Reiforcement Learning , In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, 2024.

· K.Jiang, J.Yao, X.Tan*, Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning , In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, USA, 2023.

· Z.Zhang, X.Tan*, Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning , In: Proceedings of the 32th International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, SAR, 2023.

· S.Li, P.Gao, X.Tan, M.Wei, ProxyFormer: Proxy Alignment Assisted Point Cloud Completion With Missing Part Sensitive Transformer , In: Proceedings of the 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023, pp. 9466-9475.

· Z.Fan, F.Zhu, L.Li, X.Tan*, Multi-scale Intermediate Flow Estimation for Video Frame Interpolation , In: The 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2022), Virtually, 2022.

· C.Wen, M.Xu, Z.Zhang, Z.Zheng, Y.Wang, X.Liu, Y.Rong, D.Xie, X.Tan* et.al, A Cooperative-competitive Multi-Agent Framework for Auto-bidding in Online Advertising , In: Proceedings of the The Fifteenth International Conference on Web Search and Data Mining (WSDM 2022), Arizona, USA, 2022.

· Y.Gan, Z.Zhang, X.Tan*, Smoothing Advantage Learning , In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, 2022.

· Z.Zhang, Y.Gan, X.Tan*, Robust Action Gap Increasing with Clipped Advantage Learning , In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, 2022.

· Y.Wang, X.Tan*, Deep Recurrent Belief Propagation Network for POMDPs , In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Vancouver, Canada, 2021.

· Y.Gan, Z.Zhang, X.Tan*, Stabilizing Q Learning Via Soft Mellowmax Operator , In: Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Vancouver, Canada, 2021.

· J.Fang, X.Tan*, Y. Wang, ACRM: Attention Cascade R-CNN with Mix-NMS for Metallic Surface Defect Detection , In: Proceedings of the 25nd International Conference on Pattern Recognition (ICPR 2020), MiCo Milano Congress Center, ITALY, 2020.

· C.Wen, X.Yao, Y.Wang, X.Tan*, SMIX($\lambda$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning , In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 2020.

· Y.Wang, H.He, X.Tan*, Z. Gan, Trust Region-Guided Proximal Policy Optimization, In: Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS 2019) , Vancouver, Canada, 2019.

· Y.Wang, H.He,X.Tan*, Truly Proximal Policy Optimization, In: Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019) , Tel Aviv, Israel, 2019.

· W.Zhang, X.Tan*, Combining Outlier Detection and Reconstruction Error Minimization for Label Noise Reduction, In: Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019), Kyoto, Japan, 2019.

· G.Song, X.Tan*, Learning Multilevel Semantic Similarity for Large-Scale Multi-Label Image Retrieval, In: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018) , Yokohama, Japan, 2018.

· W.Zhang, D.Wang, X.Tan*, Data Cleaning and Classification in the Presence of Label Noise with Class-Specific Autoencoder, In: Proceedings of the 15th International Symposium on Neural Networks (ISNN 2018) , Minsk, Belarus, 2018.

· G.Song, X.Tan*, Cross-modal Retrieval via Memory Network, In: Proceedings of the 28rd British Machine Vision Conference (BMVC 2017) , London, UK, 2017.

· Y.Cai, X.Tan*. Weakly Supervised Human Body Detection Under Arbitrary Poses. In: Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP 2016), Arizona, USA, 2016

· Y.Wang, X.Jin, X.Tan*. Pornographic Image Recognition by Strongly Supervised Deep Mulitple Instance Learning. In: Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP 2016), Arizona, USA, 2016

· X.Qin, X.Tan*, S.Chen. Tri-Subjects Kinship Verification: Understanding the Core of A Family. In: Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA 2015), Tokyo, Japan, 2015 (Journal Version)[data and code]

· J. Lu, J. Hu, V.E. Liong, X. Zhou, A. Bottino, I.U. Islam, T.F. Vieira, X. Qin, X. Tan, S. Chen, Y. Keller, S. Mahpod, L. Zheng, K. Idrissi, C. Garcia, S. Duffner, A. Baskurt, M. Castrillon-Santana, J. Lorenzo-Navarro, The FG 2015 Kinship Verification in the Wild Evaluation, In: Proceedings of the 10th International Conference on Automatic Face and Gesture Recognition (FG'15), 2015.

· P.Zhang, X.Tan*, X.Jin. Action Recognition from a Single Web Image Based on an Ensemble of Pose Experts. In: Proceedings of the 12th Asian Conference on Computer Vision (ACCV 2014), Singapore, 2014.

· F.Song, X.Tan*.  Learning One-Shot Exemplar SVM from the Web for Face Verification,  In: Proceedings of the 12th Asian Conference on Computer Vision (ACCV 2014), Singapore, 2014.

· D.Wang, X.Tan*. Robust Distance Metric Learning in the Presence of Label Noise,  In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI 2014),  Qu·bec City, Qu·bec, Canada, 2014 [presentation] (This is an updated version with some errors corrected).

· D.Wang, X.Tan*. Label-denoising Auto-Encoder for Classification with Inaccurate Supervision Information,  In: Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), Stockholm, Sweden, 2014.

· D.Wang, X.Tan*. Centering SVDD for Unsupervised Feature Representation in Object Classification,  In: Proceedings of the 2013 International Conference on Neural Information Processing (ICONIP 2013), Daegu, Korea, 2013.

· X.Jin, X.Tan*, J.Zhou. Face Alignment Using Local Hough Voting,  In: Proceedings of the 10th International Conference on Automatic Face and Gesture Recognition (FG 2013), Shanghai, China, 2013.

· F.Song, X.Tan*, S.chen. Exploiting Relationship between Attributes for Improved Face Verification,  In: Proceedings of the 23rd British Machine Vision Conference (BMVC 2012) , Surrey, UK, 2012.

· X.Liu, X.Tan*, S.chen. Eye Closeness Detection Using Appearance-based Methods,  In: Proceedings of the 7th International Conference on Intelligent Information Processing (ICIIP'12), Guilin, China, 2012.

· X.Tan, Y.Li, J.Liu and L.Jiang. Face Liveness Detection from A Single Image with Sparse Low Rank Bilinear Discriminative Model,  In: Proceedings of the 11th European Conference on Computer Vision (ECCV'10), Crete, Greece. September 2010. [NUAA Photograph Imposter Database]

· X.Tan, L.Qiao, W.Gao and J.Liu. Robust Faces Manifold Modeling: Most Expressive Vs. Most Sparse Criterion,  Subspace 2009 Workshop in conjunction with ICCV2009, Kyoto, Japan. [presentation, code, Caution: the package includes data, about 32M in all.]

· X.Tan, S.Song, Z-H.Zhou and S.Chen. Enhanced Pictorial Structures for Precise Eye Localization under Uncontrolled Conditions,  In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09),pp. 1621-1628, Miami, Florida, USA, June 2009. [code] 

· X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In: Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07), LNCS 4778, pp.168-182, 2007.[presentation, code] 

· X.Tan and B.Triggs. Fusing Gabor and LBP Feature Sets for Kernel-based Face Recognition, In: Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07), LNCS 4778, pp.235-249, 2007.[poster] 

· J.Liu,S.Chen,Z.-H.Zhou, and X.Tan,Single Image Subspace for Face Recognition. In: Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07), LNCS 4778, pp.205-219, 2007. [code]

· X.Tan, S.Chen, Z.-H. Zhou, and J. Liu. Learning Non-metric Partial Similarity Based on Maximal Margin Criterion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006, pp.138-145. [code]

· X.Tan,J.Liu,S.Chen, Recognition From A Single Sample Per Person with Multiple SOM Fusion, In: Proceedings of the Third International Symposium on Neural Networks (ISNN'06)·Chengdu, China, LNCS 3972, 2006, pp.128-133.

· J.Liu, S. Chen, X.Tan, D.Zhang, An Efficient Pseudoinverse Linear Discriminant Analysis method for Face Recognition, In: Proceedings of the International Conferences on Neural Information Processing (ICONIP·06), Hong Kong , China , LNCS, 2006.

· X.Tan, J.Liu, S.Chen, and F. Zhang, Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,  In: Proceedings of the Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'05), Queensland, Australia,LNCS 3578, 2005, pp.351-358.

· X.Tan, S. Chen, Z.-H. Zhou, and F. Zhang. Feature Selection for High Dimensional Face Image Using Self-Organizing Maps.  In: Proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), Hanoi, Vietnam, LNAI 3518, 2005, pp.500-504. 

· X.Tan, S. Chen, Z.-H. Zhou, and F. Zhang. Robust face recognition from a single training image per person with kernel-based SOM-face, In: Proceedings of the 1st International Symposium on Neural Networks (ISNN'04), Dalian, China, LNCS 3173, 2004, pp.858-863 .

[Thesis]

· 李尧, 目标限定深度强化学习关键技术研究, 南京航空航天大学博士论文, 2024.

· 沈嘉豪, 基于边缘OOD数据扩充的鲁棒离线强化学习算法研究, 南京航空航天大学硕士论文, 2024.

· 张哲, 深度强化学习中自适应奖励塑造研究, 南京航空航天大学博士论文, 2023.

· 范泽华, 基于窗口注意力的动画视频帧插值, 南京航空航天大学硕士论文, 2023.

· 李灿东, 基于多头注意力机制的深度伪造视频鉴别, 南京航空航天大学硕士论文, 2023.

· 王锦, 基于深度学习的帧插值算法研究, 南京航空航天大学硕士论文, 2023.

· 甘耀中, 深度异策略强化学习算法的稳定性研究, 南京航空航天大学博士论文, 2022.

· 蒋珂, 复杂场景下的人脸伪造及检测研究, 南京航空航天大学硕士论文, 2022.

· 吴卿源, 复杂场景下基于Rollout思想的高效探索和学习方法研究, 南京航空航天大学硕士论文, 2022.

· 任国伟, 基于强化学习的人脸属性编辑方法研究, 南京航空航天大学硕士论文, 2022.

· 王宇辉, 稳健高效的异策略强化学习理论及方法研究, 南京航空航天大学博士论文, 2021.

· 方钧婷, 基于卷积神经网络的缺陷检测研究与应用, 南京航空航天大学硕士论文, 2021.

· 袁野, 复杂场景下的金属表面缺陷检测, 南京航空航天大学硕士论文, 2021.

· 文超, 多智能体强化学习协作算法研究与应用, 南京航空航天大学硕士论文, 2021.

· 姚兴虎, 非中心化多智能体强化学习中的协作算法研究, 南京航空航天大学硕士论文, 2021.

· 宋歌, 基于深度哈希方法的多媒体检索研究, 南京航空航天大学博士论文, 2020.

· 谢烟平, 卷积神经网络的鲁棒性在图像分类中的研究与应用, 南京航空航天大学硕士论文, 2020.

· 张魏宁, 标号噪声下图像数据的清洗和特征学习, 南京航空航天大学硕士论文, 2019.

· 王冬, 标号噪声下鲁棒的距离度量学习及其应用研究, 南京航空航天大学博士论文, 2018.

· 金鑫, 从人体到人脸：部件检测研究, 南京航空航天大学博士论文, 2017.

· 蔡雅薇, 基于多示例学习的任意姿态人体检测, 南京航空航天大学硕士论文, 2017.

· 秦晓倩, 基于Web图像的Kinship关系验证研究, 南京航空航天大学博士论文, 2016.

· 刘大琨, 基于线性重建的表示学习及其在图像分析中的应用研究, 南京航空航天大学博士论文, 2016.

· 宋凤义, 非控制条件下的人脸分析与验证：从特征定位到表示学习, 南京航空航天大学博士论文, 2014.

· X.Tan, Toward Robust Face Recognition From a Single Training Sample per Person Using Self-Oraganizing Maps,  Nanjing University Thesis, May 2005.)(in Chinese,3.1M) （谭晓阳，单训练样本条件下基于自组织神经网络的鲁棒人脸识别技术研究，南京大学博士论文 2005. 南京大学2007年优秀博士论文。江苏省2007年优秀博士论文。)