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2020 – today
- 2024
[j23]Anqi Li, Congying Han, Tiande Guo, Bonan Li:
Generating linear programming instances with controllable rank and condition number. Comput. Oper. Res. 162: 106471 (2024)- [j22]Shichen Liao, Congying Han
, Tiande Guo, Bonan Li:
Subspace Newton method for sparse group ℓ 0 optimization problem. J. Glob. Optim. 90(1): 93-125 (2024) - [j21]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): 162-179 (2024) - [j20]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): 2374 (2024) - [j19]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): 10407-10421 (2024) - [c28]Yudong Hu, Congying Han, Tiande Guo, Hao Xiao:
Applying Opponent Modeling for Automatic Bidding in Online Repeated Auctions. AAMAS 2024: 843-851 - [c27]Zicheng Zhang, Ruobing Zheng, Bonan Li, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Ziwen Liu, Ming Yang:
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CVPR 2024: 5209-5219 - [c26]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 - [i25]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 abs/2402.02165 (2024) - [i24]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 abs/2402.15326 (2024) - [i23]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 abs/2402.17364 (2024) - [i22]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 abs/2403.06243 (2024) - [i21]Wang Luo, Haoran Li, Zicheng Zhang, Congying Han, Jiayu Lv, Tiande Guo:
SAMBO-RL: Shifts-aware Model-based Offline Reinforcement Learning. CoRR abs/2408.12830 (2024) - 2023
- [j18]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): 2010-2025 (2023) - [j17]Yudong Hu, Congying Han, Haoran Li, Tiande Guo:
Modeling opponent learning in multiagent repeated games. Appl. Intell. 53(13): 17194-17210 (2023) - [j16]Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo:
Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing 548: 126392 (2023) - [j15]Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han:
A learnable sampling method for scalable graph neural networks. Neural Networks 162: 412-424 (2023) - [j14]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): 1-33 (2023) - [c25]Xin Sun, Congying Han, Chenchen Wu, Dachuan Xu, Yang Zhou:
The Regularized Submodular Maximization via the Lyapunov Method. COCOON (2) 2023: 118-143 - [c24]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: 20712-20721 - [c23]Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu:
DropKey for Vision Transformer. CVPR 2023: 22700-22709 - [c22]Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo:
Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective. FAIML 2023: 282-288 - [c21]Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie:
DiffBFR: Bootstrapping Diffusion Model for Blind Face Restoration. ACM Multimedia 2023: 7785-7795 - [c20]Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu:
Towards Consistent Video Editing with Text-to-Image Diffusion Models. NeurIPS 2023 - [i20]Bonan Li, Zicheng Zhang, Xuecheng Nie, Congying Han, Yinhan Hu, Tiande Guo:
StyO: Stylize Your Face in Only One-Shot. CoRR abs/2303.03231 (2023) - [i19]Zicheng Zhang, Yinglu Liu, Congying Han, Yingwei Pan, Tiande Guo, Ting Yao:
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization. CoRR abs/2303.13232 (2023) - [i18]Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li, Tiande Guo, Xuecheng Nie:
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration. CoRR abs/2305.04517 (2023) - [i17]Zicheng Zhang, Bonan Li, Xuecheng Nie, Congying Han, Tiande Guo, Luoqi Liu:
Towards Consistent Video Editing with Text-to-Image Diffusion Models. CoRR abs/2305.17431 (2023) - [i16]Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Mingqiang Li, Bonan Li:
SC-PSRO: A Unified Strategy Learning Method for Normal-form Games. CoRR abs/2308.12520 (2023) - [i15]Yuchen Shi, Congying Han, Tiande Guo:
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem. CoRR abs/2312.15412 (2023) - [i14]Anqi Li, Congying Han, Tiande Guo, Haoran Li, Bonan Li:
General Method for Solving Four Types of SAT Problems. CoRR abs/2312.16423 (2023) - 2022
- [c19]Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo:
Shrinking Temporal Attention in Transformers for Video Action Recognition. AAAI 2022: 1263-1271 - [c18]Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou:
PetsGAN: Rethinking Priors for Single Image Generation. AAAI 2022: 3408-3416 - [c17]Siqi Tang, Congying Han, Mingqiang Li, Tiande Guo:
An end-to-end Algorithm Based on Spatial Transformer for Fingerprint Matching. ICCCS 2022: 320-325 - [c16]Siqi Tang, Congying Han, Tiande Guo, Mingqiang Li:
Reinforcement Learning of Graph Matching. ICCAI 2022: 689-697 - [c15]Bonan Li, Yinhan Hu, Congying Han, Tiande Guo:
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. ICPR 2022: 1851-1857 - [c14]Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei:
Generalized One-shot Domain Adaptation of Generative Adversarial Networks. NeurIPS 2022 - [c13]Jia Hu, Tiande Guo, Congying Han:
Complexity Analysis of a Stochastic Variant of Generalized Alternating Direction Method of Multipliers. TAMC 2022: 218-236 - [i13]Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou:
PetsGAN: Rethinking Priors for Single Image Generation. CoRR abs/2203.01488 (2022) - [i12]Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu:
DropKey. CoRR abs/2208.02646 (2022) - [i11]Zicheng Zhang, Yinglu Liu, Congying Han, Tiande Guo, Ting Yao, Tao Mei:
Generalized One-shot Domain Adaption of Generative Adversarial Networks. CoRR abs/2209.03665 (2022) - [i10]Yuchen Shi, Congying Han, Tiande Guo:
NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems. CoRR abs/2210.12453 (2022) - [i9]Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo:
Analysis of Graph Neural Networks with Theory of Markov Chains. CoRR abs/2211.06605 (2022) - [i8]Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie:
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle. CoRR abs/2211.09013 (2022) - [i7]Yudong Hu, Congying Han, Tiande Guo, Hao Xiao:
Learning with Opponent Modeling in Repeated Auctions. CoRR abs/2212.02723 (2022) - 2021
- [j13]Man Ding, Congying Han, Tiande Guo:
High generalization performance structured self-attention model for knapsack problem. Discret. Math. Algorithms Appl. 13(6): 2150076:1-2150076:18 (2021) - [j12]Bonan Li, Congying Han, Tiande Guo, Tong Zhao:
Disentangled features with direct sum decomposition for zero shot learning. Neurocomputing 426: 216-226 (2021) - [j11]Yao Yan, Congying Han, Jin Qin, Hanqin Chen, Tiande Guo:
Facial depth descend: A generation paradigm for facial depth map. Neurocomputing 466: 298-310 (2021) - [c12]Zicheng Zhang, Congying Han, Tiande Guo:
ExSinGAN: Learning an Explainable Generative Model from a Single Image. BMVC 2021: 251 - [i6]Ziwen Liu, Mingqiang Li, Congying Han:
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective. CoRR abs/2101.08408 (2021) - [i5]Bonan Li, Xuecheng Nie, Congying Han:
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning. CoRR abs/2103.10764 (2021) - [i4]Zicheng Zhang, Congying Han, Tiande Guo:
ExSinGAN: Learning an Explainable Generative Model from a Single Image. CoRR abs/2105.07350 (2021) - [i3]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 abs/2110.15105 (2021) - 2020
- [j10]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): 397-416 (2020) - [j9]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: 102866 (2020) - [j8]Baicun Zhou, Congying Han, Yonghong Liu, Tiande Guo, Jin Qin:
Fast minutiae extractor using neural network. Pattern Recognit. 103: 107273 (2020)
2010 – 2019
- 2019
- [j7]Li Sun, Kang Zhao, Congying Han, Ziwen Liu:
Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization. IEEE Access 7: 171023-171031 (2019) - 2017
- [j6]Mingqiang Li, Congying Han, Ruxin Wang, Tiande Guo:
Shrinking gradient descent algorithms for total variation regularized image denoising. Comput. Optim. Appl. 68(3): 643-660 (2017) - [c11]Jin Qin, Congying Han, Chaochao Bai, Tiande Guo:
Multi-scaling Detection of Singular Points Based on Fully Convolutional Networks in Fingerprint Images. CCBR 2017: 221-230 - [c10]Siqi Tang, Jin Qin, Yan Liu, Congying Han, Tiande Guo:
An Efficient Slap Fingerprint Segmentation Algorithm Based on Convnets and Knuckle Line. CCBR 2017: 231-239 - [c9]Jin Qin, Siqi Tang, Congying Han, Tiande Guo:
Partial Fingerprint Matching via Phase-Only Correlation and Deep Convolutional Neural Network. ICONIP (6) 2017: 602-611 - 2016
- [c8]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: 191-205 - [c7]Ruxin Wang, Congying Han, Tiande Guo:
A novel fingerprint classification method based on deep learning. ICPR 2016: 931-936 - 2015
- [c6]Xiao Liu, Congying Han, Tiande Guo:
A Robust Point Sets Matching Method. ICSI (3) 2015: 383-390 - 2014
- [j5]Hongwei Ren, Congying Han, Tiande Guo, Wei Pei:
Energy Losses and Voltage Stability Study in Distribution Network with Distributed Generation. J. Appl. Math. 2014: 939482:1-939482:7 (2014) - [i2]Ruxin Wang, Congying Han, Yanping Wu, Tiande Guo:
Fingerprint Classification Based on Depth Neural Network. CoRR abs/1409.5188 (2014) - [i1]Xiao Liu, Congying Han, Tiande Guo:
A Robust Point Sets Matching Method. CoRR abs/1411.0791 (2014) - 2013
- [j4]Congying Han, Tingting Feng, Guoping He, Tiande Guo:
Parallel Variable Distribution Algorithm for Constrained Optimization with Nonmonotone Technique. J. Appl. Math. 2013: 295147:1-295147:7 (2013) - 2011
- [j3]Fangying Zheng, Congying Han, Yongli Wang:
Parallel SSLE algorithm for large scale constrained optimization. Appl. Math. Comput. 217(12): 5377-5384 (2011) - 2010
- [c5]Xiaorui Li, Congying Han, Guoping He:
A Parallel Algorithm for SVM Based on Extended Saddle Point Condition. ICICA (1) 2010: 129-136
2000 – 2009
- 2009
- [j2]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): 434-441 (2009) - [c4]Liang Fang, Yongli Wang, Guoping He, Congying Han:
A New Non-interior Continuation Method for Second-Order Cone Programming. CSO (2) 2009: 719-722 - 2008
- [j1]Congying Han, Lijun Xu, Guoping He:
Mining Recent Frequent Itemsets in Sliding Windows over Data Streams . Comput. Informatics 27(3): 315-339 (2008) - [c3]Congying Han, Guoping He, Hua Duan, Xuping Zhang:
A Binding Number Computation of Graph. FSKD (4) 2008: 285-288 - 2007
- [c2]Congying Han, Guoping He, Huanqing Cui, Xuping Zhang:
Distributed Parallel Algorithm For Nonlinear Optimization Without Derivatives. SNPD (2) 2007: 512-515 - 2005
- [c1]Guangmei Zhang, Chen Rui, Xiaowei Li, Congying Han:
The Automatic Generation of Basis Set of Path for Path Testing. Asian Test Symposium 2005: 46-51
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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