Songcan Chen

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 2026 Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis CVPR 2026 HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition AAAI 2026 The Finer the Better: Towards Granular-aware Open-set Domain Generalization AAAI 2026 Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning ICML 2025 DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation IJCAI 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization AISTATS 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025 MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse AAAI 2025 ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization IJCAI 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition AAAI 2025 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 All Beings Are Equal in Open Set Recognition AAAI 2024 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Mixup-Induced Domain Extrapolation for Domain Generalization AAAI 2024 No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning IJCAI 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024 ALL-E: Aesthetics-guided Low-light Image Enhancement IJCAI 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery ICCV 2023 Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks IJCAI 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NeurIPS 2021 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019 One-Pass Incomplete Multi-View Clustering AAAI 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019 Doubly Aligned Incomplete Multi-view Clustering IJCAI 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 Multi-instance multi-label active learning IJCAI 2017 Transfer Learning with Active Queries from Source Domain IJCAI 2016 Multi-Label Active Learning: Query Type Matters IJCAI 2015 Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction IJCAI 2015