| 2026 | AAAI | Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2026 | AAAI | The Finer the Better: Towards Granular-aware Open-set Domain Generalization. | Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen |
| 2026 | AAAI | HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition. | Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang |
| 2025 | AAAI | TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2025 | AAAI | Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition. | Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen |
| 2025 | AAAI | MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse. | Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen |
| 2025 | AAAI | Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference. | Jiaqiang Zhang, Songcan Chen |
| 2025 | AISTATS | Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization. | Feihu Huang, Chunyu Xuan, Xinrui Wang, Siqi Zhang, Songcan Chen |
| 2025 | ECAI | Beyond Myopia: Enhancing Few-Shot Open-Set Recognition via Hyperopia Distillation. | Chuanxing Geng, Xiangshu Ding, Songcan Chen, Pong C. Yuen |
| 2025 | ICML | Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning. | Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen |
| 2025 | IJCAI | LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data. | Chuanxing Geng, Qifei Li, Xinrui Wang, Dong Liang, Songcan Chen, Pong C. Yuen |
| 2025 | IJCAI | ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization. | Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen |
| 2025 | IJCAI | DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation. | Shiji Zhao, Shao-Yuan Li, Chuanxing Geng, Sheng-Jun Huang, Songcan Chen |
| 2024 | AAAI | Mixup-Induced Domain Extrapolation for Domain Generalization. | Meng Cao, Songcan Chen |
| 2024 | AAAI | TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. | Jiexi Liu, Songcan Chen |
| 2024 | AAAI | All Beings Are Equal in Open Set Recognition. | Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen |
| 2024 | AAAI | Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. | Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen |
| 2024 | AISTATS | Adaptive Federated Minimax Optimization with Lower Complexities. | Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen |
| 2024 | IJCAI | No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. | Xiang Li, Songcan Chen |
| 2024 | IJCAI | Dynamic against Dynamic: An Open-Set Self-Learning Framework. | Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen |
| 2023 | AAAI | Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. | Ye Li, Songcan Chen, Sheng-Jun Huang |
| 2023 | ICCV | Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. | Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li |
| 2023 | ICDE | Collective Decision for Open Set Recognition (Extended Abstract). | Chuanxing Geng, Songcan Chen |
| 2023 | ICDM | Personalized Federated Semi-Supervised Learning with Black-Box Models. | Siyin Huang, Shaoyuan Li, Songcan Chen |
| 2023 | IJCAI | ALL-E: Aesthetics-guided Low-light Image Enhancement. | Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen |
| 2022 | AAAI | With False Friends Like These, Who Can Notice Mistakes? | Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen |
| 2022 | APWEB | Universum-Inspired Supervised Contrastive Learning. | Aiyang Han, Songcan Chen |
| 2022 | ICPR | A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. | Dan Li, Songcan Chen |
| 2022 | IJCAI | Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. | Jiaqiang Zhang, Senzhang Wang, Songcan Chen |
| 2021 | AAAI | Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. | Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang |
| 2021 | SDM | Sign-aware Perturbations Regression. | Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang |
| 2020 | AAAI | Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. | Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang |
| 2020 | ICML | Accelerated Stochastic Gradient-free and Projection-free Methods. | Feihu Huang, Lue Tao, Songcan Chen |
| 2019 | AAAI | Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. | Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang |
| 2019 | AAAI | One-Pass Incomplete Multi-View Clustering. | Menglei Hu, Songcan Chen |
| 2019 | ICDM | Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. | Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue |
| 2019 | ICML | Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. | Feihu Huang, Songcan Chen, Heng Huang |
| 2019 | IJCAI | Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. | Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang |
| 2019 | PRICAI | Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. | Jiexi Liu, Songcan Chen |
| 2018 | ACML | Feature-correlation-aware Gaussian Process Latent Variable Model. | Ping Li, Songcan Chen |
| 2018 | IJCAI | Doubly Aligned Incomplete Multi-view Clustering. | Menglei Hu, Songcan Chen |
| 2018 | KDD | New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. | Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang |
| 2018 | KDD | Active Feature Acquisition with Supervised Matrix Completion. | Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen |
| 2017 | AAAI | Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. | Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen |
| 2017 | ICONIP | Multi-Features Fusion Based Face Recognition. | Xianzhong Long, Songcan Chen |
| 2017 | IJCAI | Multi-instance multi-label active learning. | Sheng-Jun Huang, Nengneng Gao, Songcan Chen |
| 2016 | IJCAI | Transfer Learning with Active Queries from Source Domain. | Sheng-Jun Huang, Songcan Chen |
| 2016 | ICPR | Cross-heterogeneous-database age estimation with co-representation among them. | Qing Tian, Songcan Chen |
| 2015 | IJCAI | Multi-Label Active Learning: Query Type Matters. | Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou |
| 2015 | IJCAI | Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction. | Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yang-Ping Zhu, Songcan Chen |
| 2015 | MVA | Tri-subjects kinship verification: Understanding the core of a family. | Xiaoqian Qin, Xiaoyang Tan, Songcan Chen |
| 2012 | AAAI | Ensemble Feature Weighting Based on Local Learning and Diversity. | Yun Li, Su-Yan Gao, Songcan Chen |
| 2012 | BMVC | Exploiting relationship between attributes for improved face verification. | Fengyi Song, Xiaoyang Tan, Songcan Chen |
| 2012 | ICPR | Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. | Hui Xue, Songcan Chen, Jijian Huang |
| 2011 | ICML | BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. | Enliang Hu, Bo Wang, Songcan Chen |
| 2011 | MICCAI | Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. | Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen |
| 2011 | PAKDD | Learning to Advertise: How Many Ads Are Enough? | Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru |
| 2010 | PRICAI | Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. | Shuo Xiang, Songcan Chen, Lishan Qiao |
| 2009 | ACCV | Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes. | Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jing-Yu Yang |
| 2009 | CIKM | Heterogeneous cross domain ranking in latent space. | Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu |
| 2009 | CVPR | Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. | Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen |
| 2009 | IJCAI | Learning the Optimal Neighborhood Kernel for Classification. | Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye |
| 2009 | ISNN | A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. | Zhe Wang, Songcan Chen, Daqi Gao |
| 2008 | AAAI | Constraint Projections for Ensemble Learning. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang |
| 2008 | ICDM | A Novel Method of Combined Feature Extraction for Recognition. | Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi |
| 2008 | ISNN | Clustering Using Normalized Path-Based Metric. | Jundi Ding, RuNing Ma, Songcan Chen, Jing-Yu Yang |
| 2008 | ISNN | Structural Support Vector Machine. | Hui Xue, Songcan Chen, Qiang Yang |
| 2007 | ICNC | Exponential Bidirectional Associative Memory Based on Small-world Architecture. | Min Wang, Songcan Chen |
| 2007 | SDM | Semi-Supervised Dimensionality Reduction. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | CVPR | Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. | Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou |
| 2006 | ICDM | Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | ICONIP | A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. | Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang |
| 2006 | ISNN | Recognition from a Single Sample per Person with Multiple SOM Fusion. | Xiaoyang Tan, Jun Liu, Songcan Chen |
| 2006 | PRICAI | Non-negative Matrix Factorization on Kernels. | Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen |
| 2006 | SSPR | Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |
| 2005 | IDEAL | Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. | Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang |
| 2005 | ISNN | Representing Image Matrices: Eigenimages Versus Eigenvectors. | Daoqiang Zhang, Songcan Chen, Jun Liu |
| 2005 | PAKDD | Feature Selection for High Dimensional Face Image Using Self-organizing Maps. | Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang |
| 2004 | ICONIP | Semi-supervised Kernel-Based Fuzzy C-Means. | Daoqiang Zhang, Keren Tan, Songcan Chen |
| 2004 | ICPR | Robust Image Denoising Using Kernel-Induced Measures. | Keren Tan, Songcan Chen, Daoqiang Zhang |
| 2004 | ISNN | Progressive Principal Component Analysis. | Jun Liu, Songcan Chen, Zhi-Hua Zhou |
| 2004 | ISNN | Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. | Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang |
| 2004 | ISNN | Fuzzy-Kernel Learning Vector Quantization. | Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou |