· 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 Multimedi a,  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 ]

· J.Wang, P.He, X.Tan*, Koopman-Assisted Trajectory Synthesis: A Data Augmentation Framework for Offline Imitation Learning , In: Proceedings of the 14th International Conference on Learning Representations (ICLR 2026) , Rio de Janeiro, Brazil, 2026.

· K.Jiang, W.Jiang, X.Tan*, Variational OOD State Correction for Offline Reinforcement Learning , In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, 2026.

· L.Qiu, K.Jiang, X.Tan*, RoGA: Towards Generalizable Deepfake Detection through Robust Gradient Alignment , In: Proceedings of 2025 IEEE International Conference on Multimedia & Expo (ICME 2025), Nantes, France, 2025.

· 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, 201 6

· 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, 201 6

· 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, 201 5 (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]

· 王子豪, 面向离线强化学习的动力学引导扩散轨迹规划方法研究, 南京航空航天大学硕士论文 , 2026.

· 宋江江, 面向疑难肝病自动诊断的检索增强大语言模型方法研究, 南京航空航天大学硕士论文 , 2026.

· 李雄志, 面向疑难肝病辅助诊断的大语言模型动态经验检索与过程一致性研究, 南京航空航天大学硕士论文 , 2026.

· 邱凌瑜, 基于表示学习的跨域人脸深度伪造检测方法研究, 南京航空航天大学硕士论文 , 2025.

· 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。)