Songcan Chen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 164

Top Venues

Publications

Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. CoRR (2024)
Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen
PIE: Physics-inspired Low-light Enhancement. CoRR (2024)
Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang
Relative Difficulty Distillation for Semantic Segmentation. CoRR (2024)
Yunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen
Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning. Neural Networks 176 (2024)
Jiexi Liu, Songcan Chen
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. AAAI (2024)
Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen
Dynamic Against Dynamic: An Open-set Self-learning Framework. CoRR (2024)
Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
All Beings Are Equal in Open Set Recognition. AAAI (2024)
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI (2024)
Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen
Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS (2024)
Meng Cao, Songcan Chen
Mixup-Induced Domain Extrapolation for Domain Generalization. AAAI (2024)
Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen
All Beings Are Equal in Open Set Recognition. CoRR (2024)
Yunyun Wang, Yao Liu, Songcan Chen
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox. Mach. Learn. 113 (4) (2024)
Jiaqiang Zhang, Songcan Chen
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift. CoRR (2024)
Feihu Huang, Songcan Chen
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems. CoRR (2023)
Aiyang Han, Chuanxing Geng, Songcan Chen
Universum-Inspired Supervised Contrastive Learning. IEEE Trans. Image Process. 32 (2023)
Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen
TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks 164 (2023)
Jiexi Liu, Songcan Chen
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning. CoRR (2023)
Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu
Structure-Aware Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Xin Li, Mingqiang Wei, Songcan Chen
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. CoRR (2023)
Siyin Huang, Shao-Yuan Li, Songcan Chen
Personalized Federated Semi-Supervised Learning with Black-Box Models. ICDM (2023)
Chuanxing Geng, Songcan Chen
Multiplane Convex Proximal Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang
Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery. CoRR (2023)
Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. CoRR (2023)
Weikai Li, Songcan Chen
Partial Domain Adaptation Without Domain Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Yunxia Lin, Songcan Chen
Rectified Euler k-means and beyond. Pattern Recognit. 137 (2023)
Xiang Li, Xinrui Wang, Songcan Chen
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels. CoRR (2023)
Xiang Li, Songcan Chen
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning. CoRR (2023)
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
ALL-E: Aesthetics-guided Low-light Image Enhancement. CoRR (2023)
Quan Feng, Songcan Chen
Learning multi-tasks with inconsistent labels by using auxiliary big task. Frontiers Comput. Sci. 17 (5) (2023)
Zhongchen Ma, Songcan Chen
A Similarity-Based Framework for Classification Task. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Chuanxing Geng, Songcan Chen
Collective Decision for Open Set Recognition (Extended Abstract). ICDE (2023)
Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR (2023)
Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. NeurIPS (2023)
Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen
ALL-E: Aesthetics-guided Low-light Image Enhancement. IJCAI (2023)
Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. ICCV (2023)
Ye Li, Songcan Chen, Sheng-Jun Huang
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. AAAI (2023)
Yunxia Lin, Songcan Chen
Convex Subspace Clustering by Adaptive Block Diagonal Representation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Ye Li, Songcan Chen, Sheng-Jun Huang
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks. CoRR (2023)
Zhenghao Tan, Songcan Chen
On the learning dynamics of two-layer quadratic neural networks for understanding deep learning. Frontiers Comput. Sci. 16 (3) (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR (2022)
Chuanxing Geng, Aiyang Han, Songcan Chen
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering. CoRR (2022)
Dan Li, Songcan Chen
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. ICPR (2022)
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI (2022)
Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. CoRR (2022)
Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen
Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. 16 (5) (2022)
Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS (2022)
Dan Li, Songcan Chen
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. CoRR (2022)
Quan Feng, Songcan Chen
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task. CoRR (2022)
Yunyun Wang, Yao Liu, Songcan Chen
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox. CoRR (2022)
Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. 52 (2) (2022)
Weikai Li, Meng Cao, Songcan Chen
Jacobian Norm for Unsupervised Source-Free Domain Adaptation. CoRR (2022)
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR (2022)
Shao-Yuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen
Improving deep label noise learning with dual active label correction. Mach. Learn. 111 (3) (2022)
Aiyang Han, Songcan Chen
Universum-inspired Supervised Contrastive Learning. CoRR (2022)
Yunyun Wang, Weiwen Zheng, Songcan Chen
Dual-Correction Adaptation Network for Noisy Knowledge Transfer. CoRR (2022)
Xiang Li, Songcan Chen
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Enhao Zhang, Chuanxing Geng, Songcan Chen
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition. CoRR (2022)
Zhongchen Ma, Songcan Chen
A Similarity-based Framework for Classification Task. CoRR (2022)
Aiyang Han, Songcan Chen
Universum-Inspired Supervised Contrastive Learning. APWeb/WAIM (2) (2022)
Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen
With False Friends Like These, Who Can Notice Mistakes? AAAI (2022)
Chuanxing Geng, Songcan Chen
Collective Decision for Open Set Recognition. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Weikai Li, Songcan Chen
Unsupervised domain adaptation with progressive adaptation of subspaces. Pattern Recognit. 132 (2022)
Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen
Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. IEEE Trans. Cybern. 52 (10) (2022)
Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts. CoRR (2022)
Songcan Chen, Chuanxing Geng
A comprehensive perspective of contrastive self-supervised learning. Frontiers Comput. Sci. 15 (4) (2021)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Provable Defense Against Delusive Poisoning. CoRR (2021)
Quan Feng, Songcan Chen
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs. CoRR (2021)
Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang
Sign-aware Perturbations Regression. SDM (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR (2021)
Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI (2021)
Yunxia Lin, Songcan Chen
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Trans. Fuzzy Syst. 29 (7) (2021)
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS (2021)
Qing Tian, Meng Cao, Songcan Chen, Hujun Yin
Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen
Crowdsourcing aggregation with deep Bayesian learning. Sci. China Inf. Sci. 64 (3) (2021)
Yunxia Lin, Songcan Chen
Rectified Euler k-means and Beyond. CoRR (2021)
Weikai Li, Songcan Chen
Partial Domain Adaptation without Domain Alignment. CoRR (2021)
Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue
Semi-Supervised Multi-View Deep Discriminant Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (7) (2021)
Zhongchen Ma, Songcan Chen
Expand globally, shrink locally: Discriminant multi-label learning with missing labels. Pattern Recognit. 111 (2021)
Di Ma, Songcan Chen
Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci. China Inf. Sci. 64 (9) (2021)
Chuanxing Geng, Sheng-Jun Huang, Songcan Chen
Recent Advances in Open Set Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Feihu Huang, Lue Tao, Songcan Chen
Accelerated Stochastic Gradient-free and Projection-free Methods. ICML (2020)
Zhongchen Ma, Songcan Chen
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. CoRR (2020)
Di Ma, Songcan Chen
Distribution agnostic Bayesian matching pursuit based on the exponential embedded family. Neurocomputing 410 (2020)
Feihu Huang, Lue Tao, Songcan Chen
Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR (2020)
Qi Huang, Xuesong Yin, Songcan Chen, Yigang Wang, Bowen Chen
Robust nonnegative matrix factorization with structure regularization. Neurocomputing 412 (2020)
Chuanxing Geng, Zhenghao Tan, Songcan Chen
A Multi-view Perspective of Self-supervised Learning. CoRR (2020)
Yunxia Lin, Songcan Chen
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. CoRR (2020)
Lue Tao, Songcan Chen
With False Friends Like These, Who Can Have Self-Knowledge? CoRR (2020)
Shaocheng Guo, Songcan Chen, Qing Tian
Ordinal factorization machine with hierarchical sparsity. Frontiers Comput. Sci. 14 (1) (2020)
Zhao-Yang Liu, Shao-Yuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. AAAI (2020)
Zhenzhen Quan, Songcan Chen
Robust convex clustering. Soft Comput. 24 (2) (2020)
Xiang Li, Songcan Chen
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning. CoRR (2020)
Yunxia Lin, Songcan Chen
Convex Subspace Clustering by Adaptive Block Diagonal Representation. CoRR (2020)
Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Di Ma, Songcan Chen
Bayesian compressive principal component analysis. Frontiers Comput. Sci. 14 (4) (2020)
Weikai Li, Chuanxing Geng, Songcan Chen
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Songcan Chen