📝 Publications

🎙 Nearest Research Papers

KBS 2025

RG4LDL: Renormalization Group for Label Distribution Learning, Chao Tan*, Sheng Chen, Jiaxi Zhang, Zilong Xu, Xin Geng, Genlin Ji(中科院一区TOP)
Keywords: Label distribution learning, Unsupervised neural network, Renormalization group, Restricted Boltzmann machine

KBS 2024

Efficient Representation Learning for Generalized Category Discovery
Zilong Xu, Chao Tan*, Jiaxi Zhang, Anning Song, Genlin Ji(中科院一区TOP)
Keywords: Open-world Learning, Generalized category discovery, Image classification

PR 2024

Label enhancement via manifold approximation and projection with graph convolutional network
Chao Tan*, Sheng Chen, Xin Geng, Yunyao Zhou, Genlin Ji(CCF B 中科院一区TOP)
Keywords: Multi-label classification, Label distribution learning, Manifold learning

🎙 All Publications

You can also find my articles on my Google Scholar profile.

📰 Journal Papers

2025 Knowledge-based Systems RG4LDL: Renormalization Group for Label Distribution Learning, Chao Tan*, Sheng Chen, Jiaxi Zhang, Zilong Xu, Xin Geng, Genlin Ji(中科院一区TOP)
2024 Knowledge-based Systems Efficient Representation Learning for Generalized Category Discovery, Zilong Xu, Chao Tan*, Jiaxi Zhang, Anning Song, Genlin Ji(中科院一区TOP)
2024 Pattern Recognition Label enhancement via manifold approximation and projection with graph convolutional network, Chao Tan*, Sheng Chen, Xin Geng, Yunyao Zhou, Genlin Ji(CCF B 中科院一区TOP)
2023 Concurrency and Computation: Practice and Experience Multi‐label enhancement manifold learning algorithm for vehicle video, Chao Tan*, Genlin Ji, Xiaoqian Zeng
2023 Pattern Recognition A novel label enhancement algorithm based on manifold learning, Chao Tan*, Sheng Chen, Xin Geng, Genlin Ji(CCF B 中科院一区TOP)
2023 Pattern Recognition A label distribution manifold learning algorithm, Chao Tan*, Sheng Chen, Xin Geng, Genlin Ji(CCF B 中科院一区TOP)
2022 IEEE Transactions on Knowledge and Data Engineering A novel probabilistic label enhancement algorithm for multi-label distribution learning, Chao Tan, Sheng Chen, Genlin Ji, Xin Geng*(CCF A 中科院一区TOP)
2022 IEEE Transactions on Cybernetics Multilabel distribution learning based on multioutput regression and manifold learning, Chao Tan*, Sheng Chen, Genlin Ji, Xin Geng(CCF B 中科院一区TOP)
2020 Tsinghua Science and Technology LTSA-LE: A local tangent space alignment label enhancement algorithm, Chao Tan*, Genlin Ji, Richen Liu, Yanqiu Cao(中科院二区)
2019 Tsinghua Science and Technology LKLR: A local tangent space-alignment kernel least-squares regression algorithm, Chao Tan*, Genlin Ji(中科院二区)
2017 Journal of Computer Research and Development Self-adaptive Streaming Big Data Learning Algorithm Based on Incremental Tangent Space Alignment, Chao Tan*, Genlin Ji, Bin Zhao(CCF T1)
2017 Concurrency and Computation: Practice and Experience Semisupervised local preserving embedding algorithm based on maximum margin criterion for large‐scale data streams, Chao Tan*, Genlin Ji
2017 Concurrency and Computation: Practice and Experience Semi-supervised incremental feature extraction algorithm for large-scale data stream, Chao Tan*, Genlin Ji
2014 Pattern Recognition and Artificial Intelligence Multi-sample incremental manifold learning algorithm based on Isogonal mapping, Chao Tan, Jihong Guan*, Shuigeng Zhou(CCF T2)
2013 CAAI Transactions on Intelligent Systems Incremental and evolutionary manifold learning: a survey, Chao Tan, Jihong Guan*, Shuigeng Zhou(CCF T2)

💼 Conference Papers

2025 Thirty-Fourth International Joint Conference on Artificial Intelligence Decoupled Imbalanced Label Distribution Learning, Y Gao, X Sun, M Ling, C Tan, Y Zhai, G Lv
2024 The 34rd International Joint Conference on Neural Network Imbalanced Label Enhancement Based on Variational Information Bottleneck, Anning Song, Chao Tan*, Jiaxi Zhang, Zilong Xu
2023 Chinese Conference on Pattern Recognition and Computer Vision Leveraging Data Correlations for Skin Lesion Classification, Junzhao Hao, Chao Tan*, Qinkai Yang, Jing Cheng, Genlin Ji
2023 26th International Conference on Computer Supported Cooperative Work in Design Privileged Label Enhancement with Adaptive Graph, Qin Qin, Chao Tan*, Chong Li, Genlin Ji
2022 The 19th Pacific Rim International Conference on Artificial Intelligence Label Enhancement Using Inter-example Correlation Information, Chong Li, Chao Tan*, Qin Qin, Genlin Ji
2018 The 15th Pacific Rim International Conference on Artificial Intelligence DKE-RLS: a manifold reconstruction algorithm in label spaces with double kernel embedding-regularized least square, Chao Tan*, Genlin Ji
2015 Machine Learning and Data Mining in Pattern Recognition IKLTSA: An incremental kernel LTSA method, Chao Tan, Jihong Guan*, Shuigeng Zhou
2013 Knowledge Science, Engineering and Management A nonlinear dimension reduction method with both distance and neighborhood preservation, Chao Tan, Chao Chen, Jihong Guan*
2012 Advanced Data Mining and Applications: 8th International Conference A new manifold learning algorithm based on incremental spectral decomposition, Chao Tan, Jihong Guan*
2012 12th Pacific Rim International Conference on Artificial Intelligence A feature space alignment learning algorithm, Chao Tan, Jihong Guan*

🖥 Projects