Congying Han

Orcid: 0000-0002-3445-4620

According to our database1, Congying Han authored at least 69 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Subspace Newton method for sparse group ℓ <sub>0</sub> optimization problem.
J. Glob. Optim., September, 2024

STDNet: Rethinking Disentanglement Learning With Information Theory.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Improving the Spatiotemporal Resolution of Land Surface Temperature Using a Data Fusion Method in Haihe Basin, China.
Remote. Sens., July, 2024

Generating linear programming instances with controllable rank and condition number.
Comput. Oper. Res., February, 2024

Stochastic linearized generalized alternating direction method of multipliers: Expected convergence rates and large deviation properties.
Math. Struct. Comput. Sci., 2024

SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning.
CoRR, 2024

BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering.
CoRR, 2024

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.
CoRR, 2024

Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Modeling opponent learning in multiagent repeated games.
Appl. Intell., July, 2023

A learnable sampling method for scalable graph neural networks.
Neural Networks, May, 2023

On inexact stochastic splitting methods for a class of nonconvex composite optimization problems with relative error.
Optim. Methods Softw., January, 2023

Learning graph representation by aggregating subgraphs via mutual information maximization.
Neurocomputing, 2023

General Method for Solving Four Types of SAT Problems.
CoRR, 2023

CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem.
CoRR, 2023

SC-PSRO: A Unified Strategy Learning Method for Normal-form Games.
CoRR, 2023

DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration.
CoRR, 2023

StyO: Stylize Your Face in Only One-Shot.
CoRR, 2023

Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks.
Appl. Intell., 2023

Towards Consistent Video Editing with Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffBFR: Bootstrapping Diffusion Model for Blind Face Restoration.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective.
Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023

Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DropKey for Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Regularized Submodular Maximization via the Lyapunov Method.
Proceedings of the Computing and Combinatorics - 29th International Conference, 2023

2022
Learning with Opponent Modeling in Repeated Auctions.
CoRR, 2022

Masked Reconstruction Contrastive Learning with Information Bottleneck Principle.
CoRR, 2022

Analysis of Graph Neural Networks with Theory of Markov Chains.
CoRR, 2022

NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems.
CoRR, 2022

Generalized One-shot Domain Adaption of Generative Adversarial Networks.
CoRR, 2022

DropKey.
CoRR, 2022

Complexity Analysis of a Stochastic Variant of Generalized Alternating Direction Method of Multipliers.
Proceedings of the Theory and Applications of Models of Computation, 2022

Generalized One-shot Domain Adaptation of Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Reinforcement Learning of Graph Matching.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

An end-to-end Algorithm Based on Spatial Transformer for Fingerprint Matching.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

PetsGAN: Rethinking Priors for Single Image Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Shrinking Temporal Attention in Transformers for Video Action Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Facial depth descend: A generation paradigm for facial depth map.
Neurocomputing, 2021

Disentangled features with direct sum decomposition for zero shot learning.
Neurocomputing, 2021

High generalization performance structured self-attention model for knapsack problem.
Discret. Math. Algorithms Appl., 2021

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers.
CoRR, 2021

DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning.
CoRR, 2021

Blocked and Hierarchical Disentangled Representation From Information Theory Perspective.
CoRR, 2021

ExSinGAN: Learning an Explainable Generative Model from a Single Image.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Fast minutiae extractor using neural network.
Pattern Recognit., 2020

Registration and matching method for directed point set with orientation attributes and local information.
Comput. Vis. Image Underst., 2020

A novel method based on deep learning for aligned fingerprints matching.
Appl. Intell., 2020

2019
Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization.
IEEE Access, 2019

2017
Shrinking gradient descent algorithms for total variation regularized image denoising.
Comput. Optim. Appl., 2017

Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Efficient Slap Fingerprint Segmentation Algorithm Based on Convnets and Knuckle Line.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

Multi-scaling Detection of Singular Points Based on Fully Convolutional Networks in Fingerprint Images.
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016
A novel fingerprint classification method based on deep learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Single Image Super-Resolution Reconstruction Based on Edge-Preserving with External and Internal Gradient Prior Knowledge.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
A Robust Point Sets Matching Method.
Proceedings of the Advances in Swarm and Computational Intelligence, 2015

2014
Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation.
J. Appl. Math., 2014

Fingerprint Classification Based on Depth Neural Network.
CoRR, 2014

2013
Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique.
J. Appl. Math., 2013

2011
Parallel SSLE algorithm for large scale constrained optimization.
Appl. Math. Comput., 2011

2010
A Parallel Algorithm for SVM Based on Extended Saddle Point Condition.
Proceedings of the Information Computing and Applications - International Conference, 2010

2009
On the convergence of asynchronous parallel algorithm for large-scale linearly constrained minimization problem.
Appl. Math. Comput., 2009

A New Non-interior Continuation Method for Second-Order Cone Programming.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Mining Recent Frequent Itemsets in Sliding Windows over Data Streams .
Comput. Informatics, 2008

A Binding Number Computation of Graph.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Distributed Parallel Algorithm For Nonlinear Optimization Without Derivatives.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

2005
The Automatic Generation of Basis Set of Path for Path Testing.
Proceedings of the 14th Asian Test Symposium (ATS 2005), 2005


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