Shu, Yang

20 publications

ICLR 2026 Aurora: Towards Universal Generative Multimodal Time Series Forecasting Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo

ICLR 2026 CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting Through Correlation-Aware Adapter Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ICLR 2026 SwiftTS: A Swift Selection Framework for Time Series Pre-Trained Models via Multi-Task Meta-Learning Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang

ICLR 2026 Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo

ICLR 2026 Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu

AAAI 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang

NeurIPS 2025 CrossAD: Time Series Anomaly Detection with Cross-Scale Associations and Cross-Window Modeling Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo

ICCV 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

CVPR 2025 Enhancing Diversity for Data-Free Quantization Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang

ICML 2025 LightGTS: A Lightweight General Time Series Forecasting Model Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ICLR 2025 Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

ICML 2025 Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

NeurIPS 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie

ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

ICML 2023 CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long

NeurIPS 2022 Hub-Pathway: Transfer Learning from a Hub of Pre-Trained Models Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long

CVPR 2021 Open Domain Generalization with Domain-Augmented Meta-Learning Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long

ICML 2021 Zoo-Tuning: Adaptive Transfer from a Zoo of Models Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long

AAAI 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang