Skip to content
conftrace_

Yang Shu

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Grand Slam
πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (71) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer 🌈 Renaissance Researcher (5)

Venues

ICML (4) AAAI (3) ICLR (3) CVPR (2) NeurIPS (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)

Research topics

Machine Learning (13) Deep Learning (10) Application Areas (9) Learning Types Β· Machine Learning (9) Artificial Intelligence (8) Learning Types Β· Deep Learning (7) Learning Paradigms Β· Artificial Intelligence (6) Core Methods (4) Core AI (3) Learning Paradigms Β· Machine Learning (2) Techniques (2) Computer Vision (1) Data Science & Analytics (1) Healthcare & Medicine (1) Reinforcement Learning (1)

Keywords

transfer learning (6) domain adaptation (4) domain generalization (3) pre-trained model (3) zero-shot learning (2) representation learning (2) knowledge transfer (2) time series forecasting (2) curriculum learning (2) feature extraction (1) adversarial learning (1) model selection (1) contrastive learning (1) offline reinforcement learning (1) medical imaging (1) time series anomaly detection (1) multi-task learning (1) weakly supervised learning (1) knowledge distillation (1) multi-agent reinforcement learning (1)

Papers

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