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← Authors

Songcan Chen

40 papers · 2015–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (12) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7)
🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12) πŸ—ƒοΈ Keyword Collector (183) ❓ The Questioner (2) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (37) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

AAAI (16) IJCAI (13) NIPS (4) ICML (3) AISTATS (2) ACML (1) ICCV (1)

Top co-authors

Sheng-jun Huang (12) Shao-Yuan Li (8) Chuanxing Geng (7) Feihu Huang (6) Xinrui Wang (6) Wenhai Wan (5) Lue Tao (5) Dong Liang (3) Lei Feng (3) Jinfeng Yi (3)

Keywords

contrastive learning (5) stochastic optimization (4) representation learning (4) domain adaptation (3) nonconvex optimization (3) variance reduction (3) distribution shift (2) label noise (2) adversarial attack (2) adversarial training (2) class imbalance (2) matrix factorization (2) active learning (2) multi-view clustering (2) domain generalization (2) self-supervised learning (2) semi-supervised learning (2) gaussian process (2) feature alignment (2) convergence rate (2)

Papers

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning AAAI 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 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse AAAI 2025 DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation IJCAI 2025 LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data IJCAI 2025 Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization AISTATS 2025 ProMEA: Prompt-driven Expansion and Alignment for Single Domain Generalization IJCAI 2025 Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning ICML 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition AAAI 2025 All Beings Are Equal in Open Set Recognition AAAI 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NIPS 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 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery ICCV 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NIPS 2023 ALL-E: Aesthetics-guided Low-light Image Enhancement IJCAI 2023 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 Can Adversarial Training Be Manipulated By Non-Robust Features? NIPS 2022 Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NIPS 2021 Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 One-Pass Incomplete Multi-View Clustering AAAI 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019 Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization 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