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← Authors

Yang Shu

15 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (34)
πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (14) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter

Conferences

ICML (4) AAAI (3) ICLR (3) CVPR (2) NIPS (2) ICCV (1)

Top co-authors

Bin Yang (8) Chenjuan Guo (8) Jianmin Wang (5) Mingsheng Long (5) Peng Chen (4) ZHANGJIE CAO (4) Yihang Wang (3) KAI ZHAO (3) Zhongwen Rao (3) Xinyang Chen (3)

Keywords

transfer learning (6) domain adaptation (4) knowledge transfer (2) representation learning (2) pre-trained model (2) curriculum learning (2) domain generalization (2) model selection (1) medical imaging (1) adversarial learning (1) feature extraction (1) singular value decomposition (1) zero-shot learning (1) weakly supervised learning (1) time series classification (1) out-of-distribution generalization (1) knowledge distillation (1) time series forecasting (1) contrastive learning (1) model quantization (1)

Papers

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing AAAI 2026 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer ICML 2025 Enhancing Diversity for Data-free Quantization CVPR 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification ICCV 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders ICLR 2025 LightGTS: A Lightweight General Time Series Forecasting Model ICML 2025 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation NIPS 2024 CLIPood: Generalizing CLIP to Out-of-Distributions ICML 2023 Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models NIPS 2022 Zoo-Tuning: Adaptive Transfer from A Zoo of Models ICML 2021 Open Domain Generalization with Domain-Augmented Meta-Learning CVPR 2021 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019