Yang Shu - RankMe

50 papers A* 18Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter. CoRR Hanyin Cheng, Xingjian Wu, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2026	J	`jnl`	Empowering Time Series Analysis with Large-Scale Multimodal Pretraining. CoRR Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo
2026	J	`jnl`	PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering. CoRR Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu, Chenjuan Guo, Christian S. Jensen, Bin Yang
2026	J	`jnl`	ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies. CoRR Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang
2026	J	`jnl`	Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction. CoRR Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo
2026	A*	`conf`	Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing. AAAI Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2026	J	`jnl`	Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting. CoRR Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu
2025	A*	`conf`	AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. ICDE Xiuwen Li, Qifeng Cai, Yang Shu, Chenjuan Guo, Bin Yang
2025	A*	`conf`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. ICDE Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	J	`jnl`	AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. CoRR Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025	A*	`conf`	Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. AAAI Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Aurora: Towards Universal Generative Multimodal Time Series Forecasting. CoRR Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo
2025	J	`jnl`	CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling. CoRR Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo
2025	A*	`conf`	EasyTime: Time Series Forecasting Made Easy. ICDE Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A*	`conf`	Enhancing Diversity for Data-free Quantization. CVPR Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang
2025	A*	`conf`	Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. ICLR Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang
2025	J	`jnl`	Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. CoRR Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang
2025	A*	`conf`	LightGTS: A Lightweight General Time Series Forecasting Model. ICML Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	LightGTS: A Lightweight General Time Series Forecasting Model. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. CoRR Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2025	J	`jnl`	STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter. CoRR Hanyin Cheng, Ruitong Zhang, Yuning Lu, Peng Chen, Meng Wang, Yang Shu, Bin Yang, Chenjuan Guo
2025	J	`jnl`	SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning. CoRR Tengxue Zhang, Biao Ouyang, Yang Shu, Xinyang Chen, Chenjuan Guo, Bin Yang
2025	—	`conf`	TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting. KDD (2) Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025	A*	`conf`	Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality. ACM Multimedia Mingyang Yu, Xiahui Guo, Peng Chen, Zhenkai Li, Yang Shu
2025	J	`jnl`	Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing. CoRR Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2025	A*	`conf`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. ICLR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	A*	`conf`	Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. ICML Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Assessing Pre-trained Models for Transfer Learning through Distribution of Spectral Components. CoRR Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2024	A*	`conf`	Boosting Transferability and Discriminability for Time Series Domain Adaptation. NeurIPS Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
2024	J	`jnl`	EasyTime: Time Series Forecasting Made Easy. CoRR Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2024	J	`jnl`	FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang
2024	J	`jnl`	MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo
2024	A*	`conf`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proc. VLDB Endow. Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2024	J	`jnl`	ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2023	A*	`conf`	CLIPood: Generalizing CLIP to Out-of-Distributions. ICML Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2022	A*	`conf`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Transferability in Deep Learning: A Survey. CoRR Junguang Jiang, Yang Shu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Omni-Training for Data-Efficient Deep Learning. CoRR Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long
2019	A*	`conf`	Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang