1.        Tian-De Guo, Yan Liu, Cong-Ying Han, An Overview of Stochastic Quasi-Newton Methods for Large-Scale Machine Learning, Journal of the Operations Research Society of China, https://doi.org/10.1007/s40305-023-00453-9.

2.        Ziwen Liu , Mingqiang Li, Congying Han , Siqi Tang, and Tiande Guo, STDNet: Rethinking Disentanglement Learning With Information Theory, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEM(TNNLS), 2023, https://www.ieee.org/publications/rights/index.html.

3.        Bonan Li, Pengfei Xiong, Congying Han*, Tiande Guo. Shrinking Temporal Attention in Transformers for Video Action Recognition，The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)，Pages: 1263-1271. 第36届AAAI人工智能会议(AAAI 2022).

4.        Zicheng Zhang, Yinglu Liu, Congying Han*, Hailin Shi, Tiande Guo, Bowen Zhou. PetsGAN: Rethinking Priors for Single Image Generation，The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)，Pages:3408-3416. 第36届AAAI人工智能会议(AAAI 2022).

5.        Chenguang Wang，Congying Han*，Tiande Guo，Man Ding.  Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks，Applied Intelligence(0924-669X).

6.        Jia Hu, Congying Han*, Tiande Guo & Tong Zhao, On inexact stochastic splitting methods for a class of nonconvex composite optimization problems with relative error, Optimization Methods and Software, (2022),1-33.

7.        Siqi Tang, Congying Han*，Tiande Guo, Mingqiang Li. Reinforcement Learning of Graph Matching, 2022 8th International Conference on Computing and Artificial Intelligence (ICCAI ’22), March 18–21, 2022, Tianjin, China. ACM, New York, NY, USA, 9 pages.

8.        ChenguangWang, Yaodong Yang, Oliver Slumbers, Congying Han†, Tiande Guo, Haifeng Zhang3, Jun Wang. A Game-Theoretic Approach for Impoving Generalization Ability of TSP Solvers, ICLR Workshop on Gamification and Multiagent Solutions, 2022 the Gamification and Multiagent Solutions Workshop (ICLR 2022).

9.        Siqi Tang, Congying Han*， Mingqiang Li，Tiande Guo. An end-to-end Algorithm Based on Spatial Transformer for Fingerprint Matching. 2022 The 7th International Conference on Computer and Communication Systems(ICCCS), 2022，Wuhan, China.

10.     Zicheng Zhang, Yinglu Liu, Congying Han*, Tiande Guo1, Ting Yao, Tao Mei.  Generalized One-shot Domain Adaptation of Generative Adversarial Networks, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022).

11.     Jia Hu, Congying Han, Tiande Guo. "Complexity Analysis of a Stochastic Variant of Generalized Alternating Direction Method of Multipliers", Volume 13571 of the Lecture Notes in Computer Science ,Spring: TAMC 2022, LNCS 13571, pp. 218–236, 2022.

12.     Bonan Li∗, Yinhan Hu∗, Congying Han†∗, Tiande Guo∗，DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning，2022 26th International Conference on Pattern Recognition (ICPR)，August 21-25, 2022, Montréal, Québec, Canada，pp:1851-1857.

13.     Yudong Hu, Congying Han*, Haoran Li, Tiande Guo. Modeling Opponent Learning in Multiagent Repeated Games, Applied Inteligence(2022)，1-17.

14.     Yinhan Hu, Congying Han, Tiande Guo. "Interpolation-aware models for train-test consistency in mixup," Proc. SPIE VOL. 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), edited by Yingfa Lu, Changbo Cheng, Proc. of SPIE Vol. 12506, 1250628(论文号)-1: 1250628-9 (28 December 2022); doi: 10.1117/12.2661854.  International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, 7.30-31, Beijing, China. SPIE ISSN  0277-786X.

15.     胡佳,郭田德,韩丛英*，小批量随机块坐标下降算法，运筹学学报, 2022, 26 (1): 1-22.

16.     Zhou, Bc., Han, Cy*. & Guo, Td. Convergence of Stochastic Gradient Descent in Deep Neural Network.  Acta Math. Appl. Sin. Engl. Ser. 37, 126–136 (2021).

17.     Man Ding，Congying Han∗ and Tiande Guo. High generalization performance structured self-attention model for knapsack problem.  Discrete Mathematics, Algorithms and Applications(DMAA), (2021) 2150076, DOI: 10.1142/S1793830921500762, Published 18 January 2021.  ISSN: 1793-8309(EI)

18.      Bonan Li，Congying Han*，Tiande Guo，Tong Zhao. Disentangled features with direct sum decomposition for zero shot learning. Neurocomputing, Volume 426, 22 February 2021, Pages 216-226. https://doi.org/10.1016/j.neucom.2020.09.065 ISSN:0925-2312.

19.     吴敏, 郭田德，韩丛英*. 带方向信息的薄板样条插值函数及其应用. 应用数学学报，Vol. 44, No.5, 2021.9. 659-677.

20.     刘彦, 郭田德，韩丛英*. 一类随机方差缩减算法的分析与改进. 中国科学：数学，2021 年第51 卷第9 期: 1433-1450.

21.     Liu Y, Guo T D, Han C Y. Analysis and improvement for a class of variance reduced methods (in Chinese). Sci Sin Math, 2021, 51: 1433-1450, doi: 10.1360/SCM-2019-0795

22.     杨雨龙，郭田德，韩丛英. 基于原型学习改进的伪标签半监督学习算法. 中国科学院大学学报，2021年38卷第6期：2095-6134.

23.     Yao Yan, Congying Han, Jin Qin*, Hanqin Chen, Tiande Guo. Facial depth descend: A generation paradigm for facial depth map. Neurocomputing 466 (2021) 298–310. Zicheng Zhang, Congying Han* and Tiande Guo. ExSinGAN: Learning an Explainable Generative Model from a Single Image, 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual Event, UK, November 22-25, 2021.

24.     Min Wu, Congying Han*, Tiande Guo, et al. Registration and matching method for directed point set with orientation attributes and local information, Computer Vision and Image Understanding, 191(2020)102866,

25.     郭田德 , 韩丛英. 人工智能机理解释与数学方法探讨. 中国科学: 数学, 50(11):1541-1578, 2020.

26.     刘彦，郭田德，韩丛英*.  一类随机方差缩减算法的分析与改进. 中国科学：数学，doi: 10.1360/SCM-2019-0795, 2020.2020 年第50卷，稿件号：SCM-2019-0795，录用  ISSN：1674-7216. 

27.     Bonan Li, Congying Han*, Tiande Guo. Disentangled Features with Direct Sum Decomposition for Zero Shot Learning.  Neurocomputing.

28.     Siqi Tang, Congying Han*,Tiande Guo. Point matching algorithm based on machine learning method, Journal of University of Chinese Academy of Sciences(中国科学院大学学报),Vol.37, No.4, 450-457, 2020. 

29.     Zhang, Zicheng, Liu, Yinglu, Han, Congying, Shi, Hailin, Guo, Tiande. PetsGAN: Rethinking Priors for Single Image Generation, AAAI,2022

30.     杨雨龙, 郭田德, 韩丛英. 基于原型学习改进的伪标签半监督学习算法. 中国科学院大学学报,2021,38(6): 841-851

31.     Yan, Yao, Han, Congying, Qin, Jin, Chen, Hanqin, Guo, Tiande. Facial depth descend: A generation paradigm for facial depth map. NEUROCOMPUTING,2021, 466:298-310.

32.     Zhang, ZiCheng, Han, CongYing, Guo, TianDe. ExSinGAN: Learning an Explainable Generative Model from a Single Image,2021.

33.     吴敏, 郭田德, 韩丛英. 带方向信息的薄板样条插值函数及其应用. 应用数学学报,2021, 44(5): 659-677

34.     刘彦, 郭田德, 韩丛英. 一类随机方差缩减算法的分析与改进. 中国科学:数学,2021, 51(9): 1433-1450

35.     Li, Bonan, Han, Congying, Guo, Tiande, Zhao, Tong. Disentangled features with direct sum decomposition for zero shot learning. NEUROCOMPUTING,2021, 426:216-226.

36.     Zhou, Baicun, Han, Congying, Guo, Tiande. Convergence of Stochastic Gradient Descent in Deep Neural Network. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2021, 37(1): 126-136.

37.     Liu, Yan, Wang, Xiao, Guo, Tiande. A linearly convergent stochastic recursive gradient method for convex optimization. OPTIMIZATION LETTERS,2020, 14(8):2265-2283.

38.     Liu, Yonghong, Zhou, Baicun, Han, Congying, Guo, Tiande, Qin, Jin. A novel method based on deep learning for aligned fingerprints matching. APPLIED INTELLIGENCE,2020, 50(2): 397-416.

39.     Li, Lun, Han, Renmin, Zhang, Zhaotian, Guo, Tiande, Liu, Zhiyong. Compressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography. BMC BIOINFORMATICS,2020,21.

40.     Zhou, Baicun, Han, Congying, Liu, Yonghong, Guo, Tiande, Qin, Jin. Fast minutiae extractor using neural network. PATTERN RECOGNITION,2020, 103.

41.     郭田德, 韩丛英. 人工智能机理解释与数学方法探讨. 中国科学:数学,2020, 50(11): 1541-1578.

42.     Wu, Min, Han, Congying, Guo, Tiande, Zhao, Tong. Registration and matching method for directed point set with orientation attributes and local information. COMPUTER VISION AND IMAGE UNDERSTANDING,2020, 191.

43.     郭田德, 韩丛英, 李明强. 逐层数据再表达的前后端融合学习的理论及其模型和算法. 中国科学:信息科学,2019: 739-759.

44.     Yonghong Liu, Baicun Zhou, Congying Han, Tiande Guo, Jin Qin. A Method for Singular Points Detection Based on Faster-RCNN. Applied Sciences,2018, 8(10).

45.     Liu, Yonghong, Zhou, Baicun, Han, Congying, Guo, Tiande, Qin, Jin. A Method for Singular Points Detection Based on Faster-RCNN. APPLIED SCIENCES-BASEL,2018, 8(10).

46.     Qin Jin, Tang Siqi, Han Congying, Guo Tiande, Yu H, Dong Y. Partial Fingerprint Identification Algorithm Based-on the Modified Generalized Hough Transform on Mobile Device. NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP2017),2018, 10615

47.     Li, Mingqiang, Han, Congying, Wang, Ruxin, Guo, Tiande. Shrinking gradient descent algorithms for total variation regularized image denoising. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,2017, 68(3): 643-660.

48.     Wang, Ruxin, Han, Congying, Li, Mingqiang, Guo, Tiande, Chen, Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge. COMPUTER VISION - ACCV2016 WORKSHOPS, PT I,2017, 10116: 191-205

49.     Liu, Pengfei, Yang, Wenguo, Guo, Tiande. New discoveries of domination between traffic matrices. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2017, 33(3): 561-566.

50.     Qin, Jin, Tang, Siqi, Han, Congying, Guo, Tiande, Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network. NEURAL INFORMATION PROCESSING (ICONIP2017), PT VI,2017, 10639: 602-611

51.     Wang Ruxin, Han Congying, Guo Tiande, IEEE. A Novel Fingerprint Classification Method Based on Deep Learning.201623RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR),2016: 931-936

52.     Liu Xiao, Guo Tiande, Han Congying, Li Mingqiang. Super resolution reconstruction of single image with denoising and upscaling. Journal of University of Chinese Academy of Sciences,2016, 33(5): 596-603

53.     Liu, Pengfei, Yang, Wenguo, Guo, Tiande. A discussion on the conservatism of robust linear optimization problems. OPTIMIZATION,2016, 65(8): 1641-1650.

54.     Yao, Changlong, Guo, Tiande. The Coverage Holes of The Largest Component of Random Geometric Graph. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2015, 31(4): 855-862.

55.     Yao, Changlong, Guo, Tiande. The Coverage Holes of The Largest Component of Random Geometric Graph. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2015, 31(4): 855-862.

56.     Tang Yaohua, Yang Wenguo, Guo Tiande. Definition and algorithms for reliable Steiner tree problem. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2015,28(4): 876-886.

57.     Tang Yaohua, Yang Wenguo, Guo Tiande. Definition and algorithms for reliable steiner tree problem. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2015,28(4): 876-886.

58.     Shao, Guangqi, Wu, Yanping, Yong, A, Liu, Xiao, Guo, Tiande. Fingerprint Compression Based on Sparse Representation. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(2): 489-501.

59.     Tang Pengfei, Guo Tiande. SLLN and CLT for patterns on the infinite open cluster. Journal of University of Chinese Academy of Sciences,2014, 31(4): 445-452,483

60.     Han, Congying, Zheng, Fangying, Guo, Tiande, He, Guoping. Parallel Algorithms for Large-scale Linearly Constrained Minimization Problem. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2014, 30(3): 707-720.

61.     Han, Congying, Zheng, Fangying, Guo, Tiande, He, Guoping. Parallel Algorithms for Large-scale Linearly Constrained Minimization Problem. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2014, 30(3): 707-720

62.     Zhang, Wei, Pei, Wei, Guo, Tiande. An efficient method of robustness analysis for power grid under cascading failure. SAFETY SCIENCE,2014, 64: 121-126.

63.     Chen, Ge, Yao, Changlong, Guo, Tiande. THE ASYMPTOTIC SIZE OF THE LARGEST COMPONENT IN RANDOM GEOMETRIC GRAPHS WITH SOME APPLICATIONS. ADVANCES IN APPLIED PROBABILITY,2014, 46(2): 307-324.

64.     Ren, Hongwei, Han, Congying, Guo, Tiande, Pei, Wei. Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation. JOURNAL OF APPLIED MATHEMATICS,2014,2014.

65.     任洪伟, 韩丛英, 裴玮, 郭田德. 基于多目标优化模型的分布式电源选址方案研究. 电力系统保护与控制,2013, 41(24): 64-69.

66.     38.     Fan LingLing, Wang ShuGuang, Guo TianDe. Global and local information combined to detect singular points in fingerprint images. SCIENCE CHINA-INFORMATION SCIENCES,2013, 56(6).

67.     A, Yong, Guo, Tiande, Wu, Yanping, Shao, Guangqi, IEEE. Fingerprint Subclassification Using Rotation-invariant Features. PROCEEDINGS OF THE2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP),2013: 504-509.

68.     Han, Congying, Feng, Tingting, He, Guoping, Guo, Tiande. Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique. JOURNAL OF APPLIED MATHEMATICS,2013,2013.

69.     Wu, Yanping, Zhao, Tong, Wang, Shuguang, A, Yong, Guo, Tiande.... A SVM-based Method for the Estimation of Fingerprint and Palmprint Orientation. PROCEEDINGS OF THE2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP),2013: 343-348.

70.     Fan LingLing, Wang ShuGuang, Guo TianDe. Global and local information combined to detect singular points in fingerprint images. SCIENCE CHINA-INFORMATION SCIENCES,2013, 56(6).

71.     Han, Congying, Li, Mingqiang, Zhao, Tong, Guo, Tiande. An Accelerated Proximal Gradient Algorithm for Singly Linearly Constrained Quadratic Programs with Box Constraints. SCIENTIFIC WORLD JOURNAL[J],2013.

72.     Shao, Guangqi, Han, Congying, Guo, Tiande, Hao, Yang, Lee, R. An NMF-Based Method for the Fingerprint Orientation Field Estimation. COMPUTER AND INFORMATION SCIENCE2012, 429: 93

73.     Jiang, Jianping, Zhang, Sanguo, Guo, Tiande. RUSSO'S FORMULA, UNIQUENESS OF THE INFINITE CLUSTER, AND CONTINUOUS DIFFERENTIABILITY OF FREE ENERGY FOR CONTINUUM PERCOLATION. JOURNAL OF APPLIED PROBABILITY,2011, 48(3): 597-610.

74.     Yao, ChangLong, Chen, Ge, Guo, TianDe. LARGE DEVIATIONS FOR THE GRAPH DISTANCE IN SUPERCRITICAL CONTINUUM PERCOLATION. JOURNAL OF APPLIED PROBABILITY,2011, 48(1): 154-172

75.     杨文国, 黄钧, 郭田德. 大规模突发事件中伤员救助的救护车分配优化模型. 系统工程理论与实践,2010: 1218-1224.

76.     姜建平, 张三国, 郭田德. 渗流簇中鞅中心极限定理的收敛速度（英文）. 中国科学院研究生院学报,2010.

77.     Yang Rui, Guo Tiande, Chen Ge, Hu Z, Li W. An Investigation of Maximizing System Performance in Wireless Sensor Networks. NSWCTC2009: INTERNATIONAL CONFERENCE ON NETWORKS SECURITY, WIRELESS COMMUNICATIONS AND TRUSTED COMPUTING, VOL 1, PROCEEDINGS,2009: 378-382.

78.     Wen Chengming, Guo Tiande, Wu JQ, Ye ZW. Segmentation of Fingerprint Images Using Minimal Graph Cuts.2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT2009), VOLUMES 1 AND2,2009: 547-550.

79.     Wen Chengming, Guo Tiande, Wang Shuguang, Qi L, Zhu JW. Fingerprint feature-point matching based on motion coherence.2009 SECOND INTERNATIONAL CONFERENCE ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, FITME2009,2009:226.

80.     Chen, Ge, Guo, Tiande, Yao, Changlong. Some Properties for the Largest Component of Random Geometric Graphs with Applications in Sensor Networks. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2009,25(4): 579-592.

81.     王红法, 王曙光, 樊玲玲, 郭田德. 一种用于指纹方向场估计的网格插值模型. 中国图象图形学报,2009: 422-429.

82.     赵彤, 郭田德, 杨文国. 无线传感器网络能耗均衡路由模型及算法. 软件学报,2009: 3023-3033.

83.     杨蕊, 姚昌龙, 郭田德. 几何随机图大连通分支覆盖面积及其在传感器网络中的应用. 应用数学学报,2009: 1027-1035.

84.     Ge Chen, Tiande Guo, Changlong Yao. Some properties for the largest component of random geometric graphs with applications in sensor networks. Acta Mathematicae Applicatae Sinica, English Series,2009,25(4): 579-592.

85.     Wen Chengming, Guo Tiande, Zhou Yuyang, IEEE. A Novel and Efficient Algorithm for Segmentation of Fingerprint Image Based on LBP Operator. ITCS:2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, PROCEEDINGS, VOL2, PROCEEDINGS,2009:200-204.

86.     樊玲玲, 王曙光, 郭田德. 基于电场模型的指纹方向场计算. 中国科学院研究生院学报,2008,25(4): 433-438.

87.     Fan, Lingling, Wang, Shuguang, Wang, Hongfa, Guo, Tiande. Singular points detection based on zero-pole model in fingerprint images. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2008, 30(6): 929-940.

88.     杨文国, 郭田德. 求解无线传感器网络路由问题的蚁群最优化算法及其收敛性. 系统科学与数学,2007,27(2):239-246..

89.     赵彤, 杨文国, 郭田德. 无线传感器网络中参数设定的双层规划模型及算法. 软件学报,2007, 18(12): 3124-3130.

90.     杨文国, 郭田德, 赵彤. 异构监测传感器网络寿命最大化模型及其求解. 计算机学报,2007, 30(4): 532-538.

91.     杨文国, 郭田德, 赵彤. 基于动态规划的无线传感器网络的路由算法. 计算机研究与发展,2007, 44(5): 890-897.

92.     杨文国, 郭田德. 求解最小Steiner树的蚁群优化算法及其收敛性. 应用数学学报,2006,29(2): 352-361

93.     赵彤, 郭田德, 高自友. 环境因素下城市交通离散网络设计问题中确定最大OD需求量的优化模型及求解算法. 土木工程学报,2005, 38(3): 119-124.

94.     杨文国, 郭田德, 高自友, 赵彤. 环境因素下确定最优行驶速度的双层规划模型. 中国科学院研究生院学报,2005,22(2): 129-134.

95.     郭田德, 许传祥, 高自友. 印鉴自动识别算法研究. 自动化学报,2004, 30(1): 8-19.

96.     Guo Tiande, Wu Shiquan. a modified homogeneous and self-dual linear programming algorithm. systems science and mathematical science，1995, 8(3):270.