Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (CoRR, 2020)

Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Fan Yang 094; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (IJCAI, 2021)

KVT: k-NN Attention for Boosting Vision Transformers. - Pichao Wang; Xue Wang 010; Fan Wang 019; Ming Lin 002; Shuning Chang; Wen Xie; Hao Li 030; Rong Jin 001 (CoRR, 2021)

Scaled ReLU Matters for Training Vision Transformers. - Pichao Wang; Xue Wang 010; Hao Luo 004; Jingkai Zhou; Zhipeng Zhou; Fan Wang 019; Hao Li 030; Rong Jin 001 (AAAI, 2022)

KVT: k-NN Attention for Boosting Vision Transformers. - Pichao Wang; Xue Wang 010; Fan Wang 019; Ming Lin 002; Shuning Chang; Hao Li 030; Rong Jin 001 (ECCV (24), 2022)

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. - Tian Zhou 004; Ziqing Ma; Qingsong Wen; Xue Wang 010; Liang Sun 001; Rong Jin 001 (ICML, 2022)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. - Tian Zhou 004; Ziqing Ma; Xue Wang 010; Qingsong Wen; Liang Sun 001; Tao Yao; Wotao Yin; Rong Jin 001 (NeurIPS, 2022)

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. - Tian Zhou 004; Jianqing Zhu; Xue Wang 010; Ziqing Ma; Qingsong Wen; Liang Sun 001; Rong Jin 001 (CoRR, 2022)

Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. - Bingxu Mu; Zhenxing Niu; Le Wang 003; Xue Wang 010; Qiguang Miao; Rong Jin 001; Gang Hua 001 (CVPR, 2023)

Free Lunch for Domain Adversarial Training: Environment Label Smoothing. - Yifan Zhang 004; Xue Wang 010; Jian Liang 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (ICLR, 2023)

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. - Yifan Zhang 004; Xue Wang 010; Kexin Jin; Kun Yuan 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (ICML, 2023)

Efficient Sparse Linear Bandits under High Dimensional Data. - Xue Wang 010; Mike Mingcheng Wei; Tao Yao (KDD, 2023)

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. - Yifan Zhang 004; Qingsong Wen; Xue Wang 010; Weiqi Chen; Liang Sun 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (NeurIPS, 2023)

One Fits All: Power General Time Series Analysis by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (NeurIPS, 2023)

Power Time Series Forecasting by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. - Xue Wang 010; Tian Zhou 004; Qingsong Wen; Jinyang Gao; Bolin Ding; Rong Jin 001 (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

Model-free Test Time Adaptation for Out-Of-Distribution Detection. - Yifan Zhang 004; Xue Wang 010; Tian Zhou 004; Kun Yuan 001; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (CoRR, 2023)

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. - Zhi-Fan Wu; Chaojie Mao; Xue Wang 010; Jianwen Jiang; Yiliang Lv; Rong Jin 001 (CVPR, 2024)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. - Xue Wang 010; Tian Zhou 004; Qingsong Wen; Jinyang Gao; Bolin Ding; Rong Jin 001 (ICLR, 2024)

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. - Kexin Huang; Ziqian Chen; Xue Wang 010; Chongming Gao; Jinyang Gao; Bolin Ding; Xiang Wang 010 (ICML, 2024)

Attention as Robust Representation for Time Series Forecasting. - Peisong Niu; Tian Zhou 004; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2024)

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. - Yuan Gao 020; Haokun Chen; Xiang Wang 010; Zhicai Wang; Xue Wang 010; Jinyang Gao; Bolin Ding (CoRR, 2024)

Debiasing Multimodal Large Language Models. - Yifan Zhang 004; Weichen Yu; Qingsong Wen; Xue Wang 010; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (CoRR, 2024)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. - Yifan Zhang 004; Weiqi Chen; Zhaoyang Zhu; Dalin Qin; Liang Sun 001; Xue Wang 010; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. - Yifan Zhang 004; Qingsong Wen; Chaoyou Fu; Xue Wang 010; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (CoRR, 2024)

S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. - Xue Wang 010; Tian Zhou 004; Jianqing Zhu; Jialin Liu 003; Kun Yuan 001; Tao Yao; Wotao Yin; Rong Jin 001; HanQin Cai (CoRR, 2024)

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. - Junkang Wu; Xue Wang 010; Zhengyi Yang 007; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (CoRR, 2024)

S$^ text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. - Xue Wang 010; Tian Zhou 004; Jianqing Zhu; Jialin Liu 003; Kun Yuan 001; Tao Yao; Wotao Yin; Rong Jin 001; HanQin Cai (IEEE J. Sel. Top. Signal Process., 2024)

Online Learning and Decision Making Under Generalized Linear Model with High-Dimensional Data. - Xue Wang 010; Mike Mingcheng Wei; Tao Yao (Manag. Sci., 2025)

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. - Yifan Zhang 004; Tao Yu; Haochen Tian; Chaoyou Fu; Peiyan Li; Jianshu Zeng; Wulin Xie; Yang Shi 009; Huanyu Zhang; Junkang Wu; Xue Wang 010; Yibo Hu; et al. (CoRR, 2025)

Larger or Smaller Reward Margins to Select Preferences for Alignment? - Kexin Huang; Junkang Wu; Ziqian Chen; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

RePO: ReLU-based Preference Optimization. - Junkang Wu; Kexin Huang; Xue Wang 010; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He 001; Xiang Wang 010 (CoRR, 2025)

Incentivizing Strong Reasoning from Weak Supervision. - Yige Yuan; Teng Xiao; Shuchang Tao; Xue Wang 010; Jinyang Gao; Bolin Ding; Bingbing Xu 001 (CoRR, 2025)

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model. - Xue Wang 010; Tian Zhou 004; Jinyang Gao; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)