Transferable Curriculum for Weakly-Supervised Domain Adaptation. - Yang Shu 001; Zhangjie Cao; Mingsheng Long; Jianmin Wang 001 (AAAI, 2019)

Open Domain Generalization with Domain-Augmented Meta-Learning. - Yang Shu 001; Zhangjie Cao; Chenyu Wang; Jianmin Wang 001; Mingsheng Long (CVPR, 2021)

Zoo-Tuning: Adaptive Transfer from A Zoo of Models. - Yang Shu 001; Zhi Kou; Zhangjie Cao; Jianmin Wang 001; Mingsheng Long (ICML, 2021)

Omni-Training for Data-Efficient Deep Learning. - Yang Shu 001; Zhangjie Cao; Jinghan Gao; Jianmin Wang 001; Mingsheng Long (CoRR, 2021)

Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. - Yang Shu 001; Zhangjie Cao; Ziyang Zhang; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2022)

Transferability in Deep Learning: A Survey. - Junguang Jiang; Yang Shu 001; Jianmin Wang 001; Mingsheng Long (CoRR, 2022)

CLIPood: Generalizing CLIP to Out-of-Distributions. - Yang Shu 001; Xingzhuo Guo; Jialong Wu 001; Ximei Wang; Jianmin Wang 001; Mingsheng Long (ICML, 2023)

Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. - Yang Shu 001; Zhangjie Cao; Jinghan Gao; Jianmin Wang 001; Philip S. Yu; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. - Peng Chen 038; Yingying Zhang; Yunyao Cheng 001; Yang Shu 001; Yihang Wang 004; Qingsong Wen; Bin Yang 002; Chenjuan Guo (ICLR, 2024)

Boosting Transferability and Discriminability for Time Series Domain Adaptation. - Mingyang Liu; Xinyang Chen 001; Yang Shu 001; Xiucheng Li; Weili Guan; Liqiang Nie (NeurIPS, 2024)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. - Zhe Li 011; Xiangfei Qiu; Peng Chen 038; Yihang Wang 004; Hanyin Cheng; Yang Shu 001; Jilin Hu; Chenjuan Guo; Aoying Zhou; Qingsong Wen; Christian S. Jensen; Bin Yang 002 (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. - Shiyan Hu 004; Kai Zhao 009; Xiangfei Qiu; Yang Shu 001; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. - Biao Ouyang; Yingying Zhang; Hanyin Cheng; Yang Shu 001; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan; Christian S. Jensen (Proc. VLDB Endow., 2024)

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components. - Tengxue Zhang; Yang Shu 001; Xinyang Chen 001; Yifei Long; Chenjuan Guo; Bin Yang 002 (AAAI, 2025)

Enhancing Diversity for Data-free Quantization. - Kai Zhao 009; Zhihao Zhuang; Miao Zhang 022; Chenjuan Guo; Yang Shu 001; Bin Yang 002 (CVPR, 2025)

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification. - Yuxuan Chen; Shanshan Huang; Yunyao Cheng 001; Peng Chen 038; Zhongwen Rao; Yang Shu 001; Bin Yang 002; Lujia Pan; Chenjuan Guo (ICDE, 2025)

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation. - Xiuwen Li; Qifeng Cai; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICDE, 2025)

EasyTime: Time Series Forecasting Made Easy. - Xiangfei Qiu; Xiuwen Li; Ruiyang Pang; Zhicheng Pan; Xingjian Wu; Liu Yang; Jilin Hu; Yang Shu 001; Xuesong Lu; Chengcheng Yang; Chenjuan Guo; Aoying Zhou; et al. (ICDE, 2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. - Sicong Liu; Yang Shu 001; Chenjuan Guo; Bin Yang 002 (ICLR, 2025)

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. - Qichao Shentu; Beibu Li; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (ICLR, 2025)

LightGTS: A Lightweight General Time Series Forecasting Model. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. - Peng Chen 038; Yihang Wang 004; Yang Shu 001; Yunyao Cheng 001; Kai Zhao 009; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

Aurora: Towards Universal Generative Multimodal Time Series Forecasting. - Xingjian Wu; Jianxin Jin; Wanghui Qiu; Peng Chen 038; Yang Shu 001; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling. - Beibu Li; Qichao Shentu; Yang Shu 001; Hui Zhang; Ming Li; Ning Jin; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter. - Hanyin Cheng; Ruitong Zhang; Yuning Lu; Peng Chen 038; Meng Wang 015; Yang Shu 001; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning. - Tengxue Zhang; Biao Ouyang; Yang Shu 001; Xinyang Chen 001; Chenjuan Guo; Bin Yang 002 (CoRR, 2025)