Nonlinear Optimization Theory and Algorithms

Learning Optimization

Machine Learning

Large-Scale Data Processing

            Pattern Recognition

Shanghai Jiao Tong University        Mar. 2003 – Oct. 2008

            Ph.D., Applied Mathematics

Shandong University of Science and Technology                     Sep. 1999 – Jun. 2002

M.S., Operational Research and Cybernetics                  

Shandong University of Science and Technology                      Sep. 1992 – Jul. 1996

            B.S., Computational Mathematics and Application Software       

   

University of Chinese Academy of Sciences         Dec. 2018 – Present       Professor                                                                     

University of Chinese Academy of Sciences         Jun. 2013 – Nov. 2018    Associate Professor

University of Chinese Academy of Sciences          Sep. 2010 – Jun. 2012    Postdoctoral Researcher                                          

Shandong University of Science and Technology  Jul. 1996 – Apr. 2012    Associate Professor                                                           

China Society for Operations Research Oct. 2022-Present

Executive Council Member

China Society for Operations Research July. 2019 – Present 

Graph Theory and Combinatorics Branch Executive Council Member China Society for Operations Research

Executive Council Member

China Society for Operations Research Oct. 2016 – Sep. 2022

10th National Congress of Members 

Council Member

·       Optimization Models and Algorithms for Fingerprint Recognition and Its Applications in AFIS of China, IFORS Prize for OR Development Runner-up, 2017.

·       Research on Key Technologies of Identity Authentication Module Based on the Combination of Multiple Biometric Features, Operations Research Application Award, China Society for Operations Research, 2022.     

·     Automatic Fingerprint Identification System, Operations Research Application Award, China Society for Operations Research, 2016.  

   

·       Xin Sun, Tiande Guo, Congying Han*, Hongyang Zhang.  Greedy algorithms for stochastic monotone k-submodular maximization under full-bandit feedback， Journal of Combinatorial Optimization (2025) 49:7.

·       Shichen Liao, Yan Liu, Congying Han∗, Tiande Guo. Momentum-based variance-reduced stochastic Bregman proximal gradient methods for nonconvex nonsmooth optimization Expert Systems with Applications, (2025) 125960.

·       Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han*,Yinhan Hu1, Xinmin Qiu, Tiande Guo. StyO: Stylize Your Face in Only One-Shot, AAAI2025.

·       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 SYSTEMS, VOL. 35, NO. 8, AUGUST 2024, 10407-10421

·       Yudong Hu, Congying Han*, Tiande Guo, Hao Xiao. Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions. AAMAS '24: 843–851.

·       Anqi Li, Tiande Guo, Congying Han*, Bonan Li, Haoran Li. On the optimal pivot path of simplex method for linear programming based on reinforcement learning. SCIENCE CHINA Mathematics. Special Issue on AI Methods for Optimization Problems. June 2024 Vol. 67 No. 6: 1263-1286.

·    Yuchen Shi, Congying Han & Tiande Guo∗. NeuroPrim: An attention-based model for solving NP-hard spanning tree problems, SCIENCE CHINA Mathematics. Special Issue on AI Methods for Optimization Problems. June 2024 Vol. 67 No. 6: 1359-1376.

·       Shichen Liao, Congying Han*, Tiande Guo, Bonan Li。Subspace Newton method for sparse group l0 optimization Problem, Journal of Global Optimization (2024) 90:93–125. https://doi.org/10.1007/s10898-024-01396-y

·       Zicheng Zhang, Ruobing Zheng, Bonan Li, Congying Han*, Tianqi Li,Meng Wang, Tiande Guo,etl. Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CVPR 2024: 5209-5219

·       Haoran Li, Zicheng Zhang, Wang Luo, Congying Han*，Yudong Hu， Tiande Guo  Shichen Liao. Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error, ICML 2024, PMLR (Proceedings of Machine Learning Research) 235:29324-29372.

·       Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li*, Tiande Guo1, Pingyu Wang, and Xuecheng Nie. BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering, ECCV2024, Lecture Notes in Computer Science, 15075: Pages:37-53.

·       Wenzhao Liu, Congying Han*, Tiande Guo, Haoran Li, Zicheng Zhang. Fusion of Multi-level Information: Solve Large-scale Traveling Salesman Problem with an Efficient Framework. 31st International Conference on Neural Information Processing (ICONIP 2024).

·       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 (2023) 11:245–275

·       Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han*, Xiangjian Jiang, Tiande Guo, Luoqi Liu. DropKey for Vision Transformer, CVPR 2023，Pages：22700-22709.

·       Zicheng Zhang, Yinglu Liu, Congying Han*, Yingwei Pan, Tiandeguo, Ting Yao.  Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization, CVPR2023, Pages:20712-20721. highlight.

·       Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han*. A Learnable Sampling Method for Scalable Graph Neural Networks, Neural Networks，162（2023）412-424 .

·       Ziwen Liu 1, Chenguang Wang 1, Congying Han*, Tiande Guo. Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing, 548 (2023) 126392.

·       Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li*, Tiande Guo, Xuecheng Nie. DiffBFR: Bootstrapping Diffusion Model for Blind Face Restoration, MM ’23, October 29-November 3, 2023, Ottawa, ON, Canada. 2023.

·       Zicheng Zhang, Bonan Li,  Xuecheng Nie, Congying Han†,  Tiande Guo,  Luoqi Liu. Towards Consistent Video Editing with Text-to-Image Diffusion Models. 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Advances in Neural Information Processing Systems, 36: 58508-58519.

·     Chenguang Wang, Congying Han*,Tiande Guo，Man Ding.  Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks, Applied Intelligence. 2023,53 (2) : 2010-2025

·       Yudong Hu, Congying Han*, Haoran Li, Tiande Guo. Modeling Opponent Learning in Multiagent Repeated Games, Applied Intelligence, 2023, 53 (13) : 17194-17210

·       Anqi Li, Congying Han*, Tiande Guo, Bonan Li. Generating linear programming instances with controllable rank and condition number, Computers and Operations Research, 162(2024)106471.

·       LIU Yonghong, HAN Congying*, GUO Tiande. Fingerprint orientation field estimation algorithm based on deep learning. Operations Research Transactions, 2023, 27(4): 1-19.

·       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.

·       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.

·       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.

·       Chenguang Wang, 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.

·       Zicheng Zhang, Yinglu Liu, Congying Han*, Tiande Guo, Ting Yao, Tao Mei.  Generalized One-shot Domain Adaptation of Generative Adversarial Networks, The 36th Conference on Neural Information Processing Systems(NeurIPS 2022), 35:13718--13730

·       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). https://doi.org/10.1007/s10255-021-0991-2

·       Bonan Li，Congying Han*，Tiande Guo，Tong Zhao. Disentangled features with direct sum decomposition for zero shot learning. Neurocomputing, 426: 216-226. https://doi.org/10.1016/j.neucom.2020.09.065.

·       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.

·       Baicun Zhou, Congying Han*, Yonghong Liu Tiande Guo et al. Fast Minutiae Extractor Using Neural Network. Pattern Recognition. Pattern Recognition, 103 (2020) 107273.

·       Tiande Guo, Congying Han. Exploring the Mechanisms and Mathematical Methods of Artificial Intelligence Interpretation. Science China: Mathematics, 50(11), 1541–1578.

·       Siqi Tang, Congying Han*, Tiande Guo. Point matching algorithm based on machine learning method, Journal of University of Chinese Academy of Sciences. 37(4): 450-457, 2020.

Book: Machine Learning Methods for Combinatorial Optimization. Tiande Guo, Congying Han, Siqi Tang. Science Press, Beijing, November 2019, First Edition.

·       Tiande Guo, Congying Han*, Mingqiang Li. Theory, Models, and Algorithms of Front-End and Back-End Fusion Learning with Layer-by-Layer Data Re-Representation. Science China: Information Sciences 49(6), 739-759 (2019).

·       Yonghong Liu, Baicun Zhou, Congying Han*, Tiande Guo and Jin Qin. A Novel Method Based on Deep Learning for Aligned Fingerprints Matching. Applied Intelligence. DOI 10.1007/s10489-019-01530-4. 2019.

·       Tiande Guo, Congying Han*. From Numerical Optimization Methods to Learning Optimization Methods. Journal of Operations Research 23(4): 1-12 (2019).

·       Tiande Guo, Congying Han*, Siqi Tang, and Man D. Solving Combinatorial Problems with Machine Learning Methods, 207-229. © Springer Nature Switzerland AG 2019 D.-Z. Du et al. (eds.), Nonlinear Combinatorial Optimization, Springer Optimization and Its Applications 147, https://doi.org/10.1007/978-3-030-16194-1_9 (Book Chapter).

·       Mingqiang Li, Congying Han, Tiande Guo*. A New Gradient Algorithm for Solving Optimization Problems with Cartesian Product Constraints on the Unit Sphere. Journal of Applied Mathematics, 2018, Vol. 41 (1): 43-54, January 2018.

·       Li Mingqiang, Tiande Guo, and Congying Han*. New Projected Gradient Method for Quadratic Programming with Linear Equality Constraints. Journal of University of Chinese Academy of Sciences. Vol. 35, No. 3, May 2018, 289-296.

·       Yonghong Liu, Baicun Zhou, Congying Han, Tiande Guo, and Jin Qin.* A Method for Singular Points Detection Based on Faster-RCNN. Applied Sciences, 1-11. Online. Appl. Sci. 2018, 8, 1853; DOI:10.3390/app8101853.

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

·       Ruxin Wang, Congying Han, Tiande Guo*. A novel fingerprint classification method based on deep learning, 2016 23rd International Conference on Pattern Recognition (ICPR), Cancún Center, Cancún, México, December 4-8, 2016, 931-936.

·       Ruxin Wang, Congying Han, Mingqiang Li, Tiande Guo* . Single image super-resolution reconstruction based on edge-preserving with external and internal gradient prior knowledge, ACCV (Asian Conference on Computer Vision) 2016 Workshops, Part I, LNCS 10116, 191-205, 2017. DOI: 10.1007/978-3-319-54407-6_13. November 21-23, 2016, Taipei, Taiwan.

·       Xiao Liu, Congying Han*, Tiande Guo. A Robust Point Sets Matching Method，Advances in Swarm and Computational Intelligence.Vol. 9142, Lecture Notes in Computer Science, pp 383-390

·       Congying Han, Ziwen Liu, Mingqiang Li, Siqi Tang, Tiande Guo. Disentanglement Representation Learning Method and Device Based on the Information Bottleneck Theory. 202310195436.X, February 24, 2023.

·     Congying Han, Qiliang Feng, Tiande Guo. Fingerprint Image Reconstruction Method, Fingerprint Image Feature Extraction Method, and Device. CN: CN113313627A, August 27, 2021.