Congying Han

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 60

Top Topics

Traveling Salesman

Fingerprint Classification

Diffusion Models

Top Venues

Publications

Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. CoRR (2024)
Rencai Lin, Zheng Wei, He Chen, Congying Han, Baozhong Zhang, Maomao Jule
Improving the Spatiotemporal Resolution of Land Surface Temperature Using a Data Fusion Method in Haihe Basin, China. Remote. Sens. 16 (13) (2024)
Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Pingyu Wang, Xuecheng Nie
BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering. CoRR (2024)
Shichen Liao, Congying Han, Tiande Guo, Bonan Li
optimization problem. J. Glob. Optim. 90 (1) (2024)
Anqi Li, Congying Han, Tiande Guo, Bonan Li
Generating linear programming instances with controllable rank and condition number. Comput. Oper. Res. 162 (2024)
Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Yudong Hu, Tiande Guo, Shichen Liao
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error. CoRR (2024)
Zicheng Zhang, Ruobing Zheng, Ziwen Liu, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Bonan Li, Ming Yang
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CoRR (2024)
Ziwen Liu, Mingqiang Li, Congying Han, Siqi Tang, Tiande Guo
STDNet: Rethinking Disentanglement Learning With Information Theory. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Jia Hu, Tiande Guo, Congying Han
Stochastic linearized generalized alternating direction method of multipliers: Expected convergence rates and large deviation properties. Math. Struct. Comput. Sci. 34 (3) (2024)
Yudong Hu, Congying Han, Tiande Guo, Hao Xiao
Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions. AAMAS (2024)
Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo
Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing 548 (2023)
Xin Sun, Congying Han, Chenchen Wu, Dachuan Xu, Yang Zhou
The Regularized Submodular Maximization via the Lyapunov Method. COCOON (2) (2023)
Jia Hu, Congying Han, Tiande Guo, Tong Zhao
On inexact stochastic splitting methods for a class of nonconvex composite optimization problems with relative error. Optim. Methods Softw. 38 (1) (2023)
Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
DiffBFR: Bootstrapping Diffusion Model for Blind Face Restoration. ACM Multimedia (2023)
Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han
A learnable sampling method for scalable graph neural networks. Neural Networks 162 (2023)
Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration. CoRR (2023)
Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
Towards Consistent Video Editing with Text-to-Image Diffusion Models. CoRR (2023)
Yuchen Shi, Congying Han, Tiande Guo
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem. CoRR (2023)
Chenguang Wang, Congying Han, Tiande Guo, Man Ding
Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks. Appl. Intell. 53 (2) (2023)
Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
Towards Consistent Video Editing with Text-to-Image Diffusion Models. NeurIPS (2023)
Anqi Li, Congying Han, Tiande Guo, Haoran Li, Bonan Li
General Method for Solving Four Types of SAT Problems. CoRR (2023)
Yudong Hu, Congying Han, Haoran Li, Tiande Guo
Modeling opponent learning in multiagent repeated games. Appl. Intell. 53 (13) (2023)
Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective. FAIML (2023)
Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization. CVPR (2023)
Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
DropKey for Vision Transformer. CVPR (2023)
Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Mingqiang Li, Bonan Li
SC-PSRO: A Unified Strategy Learning Method for Normal-form Games. CoRR (2023)
Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization. CoRR (2023)
Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
StyO: Stylize Your Face in Only One-Shot. CoRR (2023)
Siqi Tang, Congying Han, Mingqiang Li, Tiande Guo
An end-to-end Algorithm Based on Spatial Transformer for Fingerprint Matching. ICCCS (2022)
Jia Hu, Tiande Guo, Congying Han
Complexity Analysis of a Stochastic Variant of Generalized Alternating Direction Method of Multipliers. TAMC (2022)
Bonan Li, Yinhan Hu, Congying Han, Tiande Guo
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. ICPR (2022)
Yuchen Shi, Congying Han, Tiande Guo
NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems. CoRR (2022)
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou
PetsGAN: Rethinking Priors for Single Image Generation. CoRR (2022)
Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle. CoRR (2022)
Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo
Shrinking Temporal Attention in Transformers for Video Action Recognition. AAAI (2022)
Yudong Hu, Congying Han, Tiande Guo, Hao Xiao
Learning with Opponent Modeling in Repeated Auctions. CoRR (2022)
Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
Generalized One-shot Domain Adaption of Generative Adversarial Networks. CoRR (2022)
Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
Generalized One-shot Domain Adaptation of Generative Adversarial Networks. NeurIPS (2022)
Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou
PetsGAN: Rethinking Priors for Single Image Generation. AAAI (2022)
Siqi Tang, Congying Han, Tiande Guo, Mingqiang Li
Reinforcement Learning of Graph Matching. ICCAI (2022)
Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
Analysis of Graph Neural Networks with Theory of Markov Chains. CoRR (2022)
Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
DropKey. CoRR (2022)
Ziwen Liu, Mingqiang Li, Congying Han
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective. CoRR (2021)
Zicheng Zhang, Congying Han, Tiande Guo
ExSinGAN: Learning an Explainable Generative Model from a Single Image. BMVC (2021)
Bonan Li, Congying Han, Tiande Guo, Tong Zhao
Disentangled features with direct sum decomposition for zero shot learning. Neurocomputing 426 (2021)
Yao Yan, Congying Han, Jin Qin, Hanqin Chen, Tiande Guo
Facial depth descend: A generation paradigm for facial depth map. Neurocomputing 466 (2021)
Bonan Li, Xuecheng Nie, Congying Han
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. CoRR (2021)
Zicheng Zhang, Congying Han, TianDe Guo
ExSinGAN: Learning an Explainable Generative Model from a Single Image. CoRR (2021)
Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR (2021)
Man Ding, Congying Han, Tiande Guo
High generalization performance structured self-attention model for knapsack problem. Discret. Math. Algorithms Appl. 13 (6) (2021)
Min Wu, Congying Han, Tiande Guo, Tong Zhao
Registration and matching method for directed point set with orientation attributes and local information. Comput. Vis. Image Underst. 191 (2020)
Yonghong Liu, Baicun Zhou, Congying Han, Tiande Guo, Jin Qin
A novel method based on deep learning for aligned fingerprints matching. Appl. Intell. 50 (2) (2020)
Baicun Zhou, Congying Han, Yonghong Liu, Tiande Guo, Jin Qin
Fast minutiae extractor using neural network. Pattern Recognit. 103 (2020)
Li Sun, Kang Zhao, Congying Han, Ziwen Liu
Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization. IEEE Access 7 (2019)
Siqi Tang, Jin Qin, Yan Liu, Congying Han, Tiande Guo
An Efficient Slap Fingerprint Segmentation Algorithm Based on Convnets and Knuckle Line. CCBR (2017)
Jin Qin, Congying Han, Chaochao Bai, Tiande Guo
Multi-scaling Detection of Singular Points Based on Fully Convolutional Networks in Fingerprint Images. CCBR (2017)
Jin Qin, Siqi Tang, Congying Han, Tiande Guo
Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network. ICONIP (6) (2017)
Mingqiang Li, Congying Han, Ruxin Wang, Tiande Guo
Shrinking gradient descent algorithms for total variation regularized image denoising. Comput. Optim. Appl. 68 (3) (2017)
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 Workshops (1) (2016)
Ruxin Wang, Congying Han, Tiande Guo
A novel fingerprint classification method based on deep learning. ICPR (2016)
Xiao Liu, Congying Han, Tiande Guo
A Robust Point Sets Matching Method. ICSI (3) (2015)
Ruxin Wang, Congying Han, Yanping Wu, Tiande Guo
Fingerprint Classification Based on Depth Neural Network. CoRR (2014)
Hongwei Ren, Congying Han, Tiande Guo, Wei Pei
Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation. J. Appl. Math. 2014 (2014)
Xiao Liu, Congying Han, Tiande Guo
A Robust Point Sets Matching Method. CoRR (2014)
Congying Han, Tingting Feng, Guoping He, Tiande Guo
Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique. J. Appl. Math. 2013 (2013)
Fangying Zheng, Congying Han, Yongli Wang
Parallel SSLE algorithm for large scale constrained optimization. Appl. Math. Comput. 217 (12) (2011)
Xiaorui Li, Congying Han, Guoping He
A Parallel Algorithm for SVM Based on Extended Saddle Point Condition. ICICA (1) (2010)
Liang Fang, Yongli Wang, Guoping He, Congying Han
A New Non-interior Continuation Method for Second-Order Cone Programming. CSO (2) (2009)
Congying Han, Yongli Wang, Guoping He
On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem. Appl. Math. Comput. 211 (2) (2009)
Congying Han, Lijun Xu, Guoping He
Mining Recent Frequent Itemsets in Sliding Windows over Data Streams . Comput. Informatics 27 (3) (2008)
Congying Han, Guoping He, Hua Duan, Xuping Zhang
A Binding Number Computation of Graph. FSKD (4) (2008)
Congying Han, Guoping He, Huanqing Cui, Xuping Zhang
Distributed Parallel Algorithm For Nonlinear Optimization Without Derivatives. SNPD (2) (2007)
Guangmei Zhang, Chen Rui, Xiaowei Li, Congying Han
The Automatic Generation of Basis Set of Path for Path Testing. Asian Test Symposium (2005)