Chen, Songcan

49 publications

ICML 2025 Cut Out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen

IJCAI 2025 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

AISTATS 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization Feihu Huang, Chunyu Xuan, Xinrui Wang, Siqi Zhang, Songcan Chen

AAAI 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference Jiaqiang Zhang, Songcan Chen

IJCAI 2025 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

AAAI 2025 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

IJCAI 2025 ProMEA: Prompt-Driven Expansion and Alignment for Single Domain Generalization Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen

AAAI 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu, Meng Cao, Songcan Chen

AAAI 2025 Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

AISTATS 2024 Adaptive Federated Minimax Optimization with Lower Complexities Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen

AAAI 2024 All Beings Are Equal in Open Set Recognition Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

IJCAI 2024 Dynamic Against Dynamic: An Open-Set Self-Learning Framework Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen

NeurIPS 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-yuan Li, Songcan Chen

AAAI 2024 Mixup-Induced Domain Extrapolation for Domain Generalization Meng Cao, Songcan Chen

IJCAI 2024 No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning Xiang Li, Songcan Chen

AAAI 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning Jiexi Liu, Songcan Chen

MLJ 2024 Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox Yunyun Wang, Yao Liu, Songcan Chen

AAAI 2024 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

IJCAI 2023 ALL-E: Aesthetics-Guided Low-Light Image Enhancement Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen

NeurIPS 2023 Beyond Myopia: Learning from Positive and Unlabeled Data Through Holistic Predictive Trends Wang Xinrui, Wenhai Wan, Chuanxing Geng, Shao-Yuan Li, Songcan Chen

AAAI 2023 Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks Ye Li, Songcan Chen, Sheng-Jun Huang

ICCV 2023 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

NeurIPS 2022 Can Adversarial Training Be Manipulated by Non-Robust Features? Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

MLJ 2022 Improving Deep Label Noise Learning with Dual Active Label Correction Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen

IJCAI 2022 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang, Senzhang Wang, Songcan Chen

AAAI 2022 With False Friends like These, Who Can Notice Mistakes? Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

NeurIPS 2021 Better Safe than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

AAAI 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

ICMLW 2021 Is It Time to Redefine the Classification Task for Deep Learning Systems? Keji Han, Yun Li, Songcan Chen

ICML 2020 Accelerated Stochastic Gradient-Free and Projection-Free Methods Feihu Huang, Lue Tao, Songcan Chen

AAAI 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang

MLJ 2019 2D Compressed Learning: Support Matrix Machine with Bilinear Random Projections Di Ma, Songcan Chen

AAAI 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

ICML 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization Feihu Huang, Songcan Chen, Heng Huang

AAAI 2019 One-Pass Incomplete Multi-View Clustering Menglei Hu, Songcan Chen

IJCAI 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

IJCAI 2018 Doubly Aligned Incomplete Multi-View Clustering Menglei Hu, Songcan Chen

ACML 2018 Feature-Correlation-Aware Gaussian Process Latent Variable Model Ping Li, Songcan Chen

IJCAI 2017 Multi-Instance Multi-Label Active Learning Sheng-Jun Huang, Nengneng Gao, Songcan Chen

AAAI 2017 Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen

IJCAI 2016 Transfer Learning with Active Queries from Source Domain Sheng-Jun Huang, Songcan Chen

IJCAI 2015 Multi-Label Active Learning: Query Type Matters Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou

IJCAI 2015 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

AAAI 2012 Ensemble Feature Weighting Based on Local Learning and Diversity Yun Li, Su-Yan Gao, Songcan Chen

ICML 2011 BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent Enliang Hu, Bo Wang, Songcan Chen

CVPR 2009 Enhanced Pictorial Structures for Precise Eye Localization Under Incontrolled Conditions Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen

IJCAI 2009 Learning the Optimal Neighborhood Kernel for Classification Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye

AAAI 2008 Constraint Projections for Ensemble Learning Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang

CVPR 2006 Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou