Congying Han - RankMe

96 papers A* 13A 2B 2C 1Misc 1Journal 60Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated variance-reduced random reshuffling gradient descent algorithm for nonconvex finite-sum optimization. Expert Syst. Appl. Longhui Liu, Congying Han, Tiande Guo, Hai Liu
2025	J	`jnl`	A Fast Anti-Jamming Cognitive Radar Deployment Algorithm Based on Reinforcement Learning. CoRR Wencheng Cai, Xuchao Gao, Congying Han, Mingqiang Li, Tiande Guo
2025	A*	`conf`	A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games. ICML Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Bonan Li, Mingqiang Li
2025	J	`jnl`	An inertial stochastic Bregman generalized alternating direction method of multipliers for nonconvex and nonsmooth optimization. Expert Syst. Appl. Longhui Liu, Congying Han, Tiande Guo, Shichen Liao
2025	Misc	`conf`	DreamHA: Towards High-Quality Human Animation with Image-to-Video Diffusion Models. ICASSP Longran Shao, Bonan Li, Congying Han, Wenzhao Liu, Tiande Guo, Tianchi Xing, Xinmin Qiu, Zicheng Zhang
2025	J	`jnl`	Dual Alignment Maximin Optimization for Offline Model-based RL. CoRR Chi Zhou, Wang Luo, Haoran Li, Congying Han, Tiande Guo, Zicheng Zhang
2025	A*	`conf`	Feature out! Let Raw Image as Your Condition for Blind Face Restoration. ICML Xinmin Qiu, Gege Chen, Bonan Li, Congying Han, Tiande Guo, Zicheng Zhang
2025	J	`jnl`	Greedy algorithms for stochastic monotone k-submodular maximization under full-bandit feedback. J. Comb. Optim. Xin Sun, Tiande Guo, Congying Han, Hongyang Zhang
2025	A*	`conf`	MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification. ICML Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang, Tiande Guo
2025	J	`jnl`	Momentum-based variance-reduced stochastic Bregman proximal gradient methods for nonconvex nonsmooth optimization. Expert Syst. Appl. Shichen Liao, Yan Liu, Congying Han, Tiande Guo
2025	J	`jnl`	On the Tension Between Optimality and Adversarial Robustness in Policy Optimization. CoRR Haoran Li, Jiayu Lv, Congying Han, Zicheng Zhang, Anqi Li, Yan Liu, Tiande Guo, Nan Jiang
2025	J	`jnl`	Preference-based opponent shaping in differentiable games. Mach. Learn. Xinyu Qiao, Yudong Hu, Congying Han, Weiyan Wu, Tiande Guo
2025	J	`jnl`	Purity Law for Generalizable Neural TSP Solvers. CoRR Wenzhao Liu, Haoran Li, Congying Han, Zicheng Zhang, Anqi Li, Tiande Guo
2025	A*	`conf`	StyO: Stylize Your Face in Only One-Shot. AAAI Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Xinmin Qiu, Tiande Guo
2025	J	`jnl`	Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error. CoRR Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Jiayu Lv, Tiande Guo, Yudong Hu
2025	—	`conf`	Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. KDD (1) Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
2024	A	`conf`	Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions. AAMAS Yudong Hu, Congying Han, Tiande Guo, Hao Xiao
2024	—	`conf`	BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering. ECCV (17) Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Pingyu Wang, Xuecheng Nie
2024	J	`jnl`	BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering. CoRR Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Pingyu Wang, Xuecheng Nie
2024	J	`jnl`	DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration. CoRR Xinmin Qiu, Bonan Li, Zicheng Zhang, Congying Han, Tiande Guo
2024	—	`conf`	Fusion of Multi-level Information: Solve Large-Scale Traveling Salesman Problem with an Efficient Framework. ICONIP (4) Wenzhao Liu, Congying Han, Tiande Guo, Haoran Li, Zicheng Zhang
2024	J	`jnl`	Generating linear programming instances with controllable rank and condition number. Comput. Oper. Res. Anqi Li, Congying Han, Tiande Guo, Bonan Li
2024	J	`jnl`	Improving the Spatiotemporal Resolution of Land Surface Temperature Using a Data Fusion Method in Haihe Basin, China. Remote. Sens. Rencai Lin, Zheng Wei, He Chen, Congying Han, Baozhong Zhang, Maomao Jule
2024	A*	`conf`	Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CVPR Zicheng Zhang, Ruobing Zheng, Bonan Li, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Ziwen Liu, Ming Yang
2024	J	`jnl`	Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CoRR Zicheng Zhang, Ruobing Zheng, Ziwen Liu, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Bonan Li, Ming Yang
2024	J	`jnl`	Preference-based opponent shaping in differentiable games. CoRR Xinyu Qiao, Yudong Hu, Congying Han, Weiyan Wu, Tiande Guo
2024	J	`jnl`	SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning. CoRR Wang Luo, Haoran Li, Zicheng Zhang, Congying Han, Jiayu Lv, Tiande Guo
2024	J	`jnl`	STDNet: Rethinking Disentanglement Learning With Information Theory. IEEE Trans. Neural Networks Learn. Syst. Ziwen Liu, Mingqiang Li, Congying Han, Siqi Tang, Tiande Guo
2024	J	`jnl`	Stochastic linearized generalized alternating direction method of multipliers: Expected convergence rates and large deviation properties. Math. Struct. Comput. Sci. Jia Hu, Tiande Guo, Congying Han
2024	J	`jnl`	Subspace Newton method for sparse group ℓ J. Glob. Optim. Shichen Liao, Congying Han, Tiande Guo, Bonan Li
2024	A*	`conf`	Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error. ICML Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Yudong Hu, Tiande Guo, Shichen Liao
2024	J	`jnl`	Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error. CoRR Haoran Li, Zicheng Zhang, Wang Luo, Congying Han, Yudong Hu, Tiande Guo, Shichen Liao
2024	J	`jnl`	Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. CoRR Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
2023	J	`jnl`	A learnable sampling method for scalable graph neural networks. Neural Networks Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han
2023	J	`jnl`	CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem. CoRR Yuchen Shi, Congying Han, Tiande Guo
2023	J	`jnl`	DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration. CoRR Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
2023	A*	`conf`	DiffBFR: Bootstrapping Diffusion Model for Blind Face Restoration. ACM Multimedia Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie
2023	A*	`conf`	DropKey for Vision Transformer. CVPR Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
2023	—	`conf`	Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective. FAIML Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
2023	J	`jnl`	General Method for Solving Four Types of SAT Problems. CoRR Anqi Li, Congying Han, Tiande Guo, Haoran Li, Bonan Li
2023	J	`jnl`	Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo
2023	J	`jnl`	Modeling opponent learning in multiagent repeated games. Appl. Intell. Yudong Hu, Congying Han, Haoran Li, Tiande Guo
2023	J	`jnl`	On inexact stochastic splitting methods for a class of nonconvex composite optimization problems with relative error. Optim. Methods Softw. Jia Hu, Congying Han, Tiande Guo, Tong Zhao
2023	J	`jnl`	SC-PSRO: A Unified Strategy Learning Method for Normal-form Games. CoRR Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Mingqiang Li, Bonan Li
2023	J	`jnl`	Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks. Appl. Intell. Chenguang Wang, Congying Han, Tiande Guo, Man Ding
2023	J	`jnl`	StyO: Stylize Your Face in Only One-Shot. CoRR Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo
2023	—	`conf`	The Regularized Submodular Maximization via the Lyapunov Method. COCOON (2) Xin Sun, Congying Han, Chenchen Wu, Dachuan Xu, Yang Zhou
2023	A*	`conf`	Towards Consistent Video Editing with Text-to-Image Diffusion Models. NeurIPS Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
2023	J	`jnl`	Towards Consistent Video Editing with Text-to-Image Diffusion Models. CoRR Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu
2023	A*	`conf`	Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization. CVPR Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
2023	J	`jnl`	Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization. CoRR Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao
2022	—	`conf`	An end-to-end Algorithm Based on Spatial Transformer for Fingerprint Matching. ICCCS Siqi Tang, Congying Han, Mingqiang Li, Tiande Guo
2022	J	`jnl`	Analysis of Graph Neural Networks with Theory of Markov Chains. CoRR Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo
2022	C	`conf`	Complexity Analysis of a Stochastic Variant of Generalized Alternating Direction Method of Multipliers. TAMC Jia Hu, Tiande Guo, Congying Han
2022	B	`conf`	DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. ICPR Bonan Li, Yinhan Hu, Congying Han, Tiande Guo
2022	J	`jnl`	DropKey. CoRR Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu
2022	A*	`conf`	Generalized One-shot Domain Adaptation of Generative Adversarial Networks. NeurIPS Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
2022	J	`jnl`	Generalized One-shot Domain Adaption of Generative Adversarial Networks. CoRR Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei
2022	J	`jnl`	Learning with Opponent Modeling in Repeated Auctions. CoRR Yudong Hu, Congying Han, Tiande Guo, Hao Xiao
2022	J	`jnl`	Masked Reconstruction Contrastive Learning with Information Bottleneck Principle. CoRR Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie
2022	J	`jnl`	NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems. CoRR Yuchen Shi, Congying Han, Tiande Guo
2022	A*	`conf`	PetsGAN: Rethinking Priors for Single Image Generation. AAAI Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou
2022	J	`jnl`	PetsGAN: Rethinking Priors for Single Image Generation. CoRR Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou
2022	—	`conf`	Reinforcement Learning of Graph Matching. ICCAI Siqi Tang, Congying Han, Tiande Guo, Mingqiang Li
2022	A*	`conf`	Shrinking Temporal Attention in Transformers for Video Action Recognition. AAAI Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo
2021	J	`jnl`	A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
2021	J	`jnl`	Blocked and Hierarchical Disentangled Representation From Information Theory Perspective. CoRR Ziwen Liu, Mingqiang Li, Congying Han
2021	J	`jnl`	DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. CoRR Bonan Li, Xuecheng Nie, Congying Han
2021	J	`jnl`	Disentangled features with direct sum decomposition for zero shot learning. Neurocomputing Bonan Li, Congying Han, Tiande Guo, Tong Zhao
2021	A	`conf`	ExSinGAN: Learning an Explainable Generative Model from a Single Image. BMVC Zicheng Zhang, Congying Han, Tiande Guo
2021	J	`jnl`	ExSinGAN: Learning an Explainable Generative Model from a Single Image. CoRR Zicheng Zhang, Congying Han, Tiande Guo
2021	J	`jnl`	Facial depth descend: A generation paradigm for facial depth map. Neurocomputing Yao Yan, Congying Han, Jin Qin, Hanqin Chen, Tiande Guo
2021	J	`jnl`	High generalization performance structured self-attention model for knapsack problem. Discret. Math. Algorithms Appl. Man Ding, Congying Han, Tiande Guo
2020	J	`jnl`	A novel method based on deep learning for aligned fingerprints matching. Appl. Intell. Yonghong Liu, Baicun Zhou, Congying Han, Tiande Guo, Jin Qin
2020	J	`jnl`	Fast minutiae extractor using neural network. Pattern Recognit. Baicun Zhou, Congying Han, Yonghong Liu, Tiande Guo, Jin Qin
2020	J	`jnl`	Registration and matching method for directed point set with orientation attributes and local information. Comput. Vis. Image Underst. Min Wu, Congying Han, Tiande Guo, Tong Zhao
2019	J	`jnl`	Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization. IEEE Access Li Sun, Kang Zhao, Congying Han, Ziwen Liu
2017	—	`conf`	An Efficient Slap Fingerprint Segmentation Algorithm Based on Convnets and Knuckle Line. CCBR Siqi Tang, Jin Qin, Yan Liu, Congying Han, Tiande Guo
2017	—	`conf`	Multi-scaling Detection of Singular Points Based on Fully Convolutional Networks in Fingerprint Images. CCBR Jin Qin, Congying Han, Chaochao Bai, Tiande Guo
2017	—	`conf`	Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network. ICONIP (6) Jin Qin, Siqi Tang, Congying Han, Tiande Guo
2017	J	`jnl`	Shrinking gradient descent algorithms for total variation regularized image denoising. Comput. Optim. Appl. Mingqiang Li, Congying Han, Ruxin Wang, Tiande Guo
2016	B	`conf`	A novel fingerprint classification method based on deep learning. ICPR Ruxin Wang, Congying Han, Tiande Guo
2016	—	`conf`	Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge. ACCV Workshops (1) Ruxin Wang, Congying Han, Mingqiang Li, Tiande Guo
2015	—	`conf`	A Robust Point Sets Matching Method. ICSI (3) Xiao Liu, Congying Han, Tiande Guo
2014	J	`jnl`	A Robust Point Sets Matching Method. CoRR Xiao Liu, Congying Han, Tiande Guo
2014	J	`jnl`	Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation. J. Appl. Math. Hongwei Ren, Congying Han, Tiande Guo, Wei Pei
2014	J	`jnl`	Fingerprint Classification Based on Depth Neural Network. CoRR Ruxin Wang, Congying Han, Yanping Wu, Tiande Guo
2013	J	`jnl`	Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique. J. Appl. Math. Congying Han, Tingting Feng, Guoping He, Tiande Guo
2011	J	`jnl`	Parallel SSLE algorithm for large scale constrained optimization. Appl. Math. Comput. Fangying Zheng, Congying Han, Yongli Wang
2010	—	`conf`	A Parallel Algorithm for SVM Based on Extended Saddle Point Condition. ICICA (1) Xiaorui Li, Congying Han, Guoping He
2009	—	`conf`	A New Non-interior Continuation Method for Second-Order Cone Programming. CSO (2) Liang Fang, Yongli Wang, Guoping He, Congying Han
2009	J	`jnl`	On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem. Appl. Math. Comput. Congying Han, Yongli Wang, Guoping He
2008	—	`conf`	A Binding Number Computation of Graph. FSKD (4) Congying Han, Guoping He, Hua Duan, Xuping Zhang
2008	J	`jnl`	Mining Recent Frequent Itemsets in Sliding Windows over Data Streams . Comput. Informatics Congying Han, Lijun Xu, Guoping He
2007	—	`conf`	Distributed Parallel Algorithm For Nonlinear Optimization Without Derivatives. SNPD (2) Congying Han, Guoping He, Huanqing Cui, Xuping Zhang
2005	—	`conf`	The Automatic Generation of Basis Set of Path for Path Testing. Asian Test Symposium Guangmei Zhang, Chen Rui, Xiaowei Li, Congying Han