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ORCIDXue Wang 0010
Person information
- affiliation: Alibaba Group, China
Other persons with the same name
- Xue Wang — disambiguation page
- Xue Wang 0001
![[0000-0003-4842-3160]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4842-3160")
— Tsinghua University, Department of Precision Instruments, Beijing, China (and 1 more) - Xue Wang 0002 — Jilin University, College of Communication Engineering, Changchun, China
- Xue Wang 0003 — University of Texas at Dallas, School of Engineering and Computer Science, OpNeAR Lab, Richardson, TX, USA
- Xue Wang 0004 — Harbin University of Science and Technology, School of Measurement and Control Technology and Communication Engineering, Harbin, China (and 1 more)
- Xue Wang 0005 — Northeastern University, College of Information Science and Engineering, Liaoning, China
- Xue Wang 0006 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Xue Wang 0007 — Shanghai University, College of Communication and Information Engineering, China
- Xue Wang 0008 — East China Normal University, School of Geographic Sciences, Shanghai, China (and 1 more)
- Xue Wang 0009 — State Grid Jilin Electric Power Company Ltd., China
- Xue Wang 0011 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Xue Wang 0012 — Nanjing Agricultural University, Jiangsu Key Laboratory for Information Agriculture, Nanjing, China
- Xue Wang 0013 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Xue Wang 0014 — University of Kent, School of Mathematics, Statistics and Actuarial Science, Canterbury, UK
- Xue Wang 0015 — University of California, Electrical and Computer Engineering, Los Angeles, CA, USA
- Xue Wang 0016 — Sun Yat-sen University, School of Geospatial Engineering and Science, Key Laboratory of Comprehensive Observation of Polar Environment, Zhuhai, China (and 2 more)
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Journal Articles
- 2024
[j1]Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai:
S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. 18(6): 985-996 (2024)
Conference and Workshop Papers
- 2024
- [c13]Zhi-Fan Wu, Chaojie Mao, Xue Wang, Jianwen Jiang, Yiliang Lv, Rong Jin:
Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. CVPR 2024: 16838-16847 - [c12]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR 2024 - [c11]Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang:
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML 2024 - 2023
- [c10]Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin, Gang Hua:
Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. CVPR 2023: 20495-20503 - [c9]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR 2023 - [c8]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML 2023: 41647-41676 - [c7]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS 2023 - [c6]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS 2023 - 2022
- [c5]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. AAAI 2022: 2495-2503 - [c4]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. ECCV (24) 2022: 285-302 - [c3]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML 2022: 27268-27286 - [c2]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS 2022 - 2021
- [c1]Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. IJCAI 2021: 4653-4660
Informal and Other Publications
- 2024
- [i21]Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin:
Attention as Robust Representation for Time Series Forecasting. CoRR abs/2402.05370 (2024) - [i20]Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding:
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR abs/2402.06656 (2024) - [i19]Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Debiasing Multimodal Large Language Models. CoRR abs/2403.05262 (2024) - [i18]Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR abs/2403.14949 (2024) - [i17]Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin:
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR abs/2406.08487 (2024) - [i16]Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai:
S3Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching. CoRR abs/2408.08567 (2024) - [i15]Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR abs/2410.10148 (2024) - 2023
- [i14]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i13]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
Power Time Series Forecasting by Pretrained LM. CoRR abs/2302.11939 (2023) - [i12]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR abs/2304.12566 (2023) - [i11]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR abs/2305.12095 (2023) - [i10]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR abs/2309.12659 (2023) - [i9]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i8]Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin:
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR abs/2311.14782 (2023) - [i7]Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR abs/2311.16420 (2023) - 2022
- [i6]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR abs/2201.12740 (2022) - [i5]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR abs/2205.08897 (2022) - [i4]Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin:
TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR abs/2206.12106 (2022) - 2021
- [i3]Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin:
KVT: k-NN Attention for Boosting Vision Transformers. CoRR abs/2106.00515 (2021) - [i2]Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. CoRR abs/2109.03810 (2021) - 2020
- [i1]Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. CoRR abs/2002.12478 (2020)
Coauthor Index
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