Xue Wang

Orcid: 0009-0004-2296-9688

Affiliations:

Alibaba Group, China

According to our database¹, Xue Wang authored at least 36 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Other

Bibliography

2025

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model.

[BibT_eX]

[DOI]

CoRR, June, 2025

Incentivizing Strong Reasoning from Weak Supervision.

[BibT_eX]

[DOI]

CoRR, May, 2025

RePO: ReLU-based Preference Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2025

Larger or Smaller Reward Margins to Select Preferences for Alignment?

[BibT_eX]

[DOI]

CoRR, March, 2025

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.

[BibT_eX]

[DOI]

CoRR, February, 2025

Online Learning and Decision Making Under Generalized Linear Model with High-Dimensional Data.

[BibT_eX]

[DOI]

Xue Wang

Mike Mingcheng Wei

Tao Yao

Manag. Sci., 2025

2024

S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., September, 2024

α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs.

[BibT_eX]

[DOI]

CoRR, 2024

S<sup>3</sup>Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

[BibT_eX]

[DOI]

CoRR, 2024

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt.

[BibT_eX]

[DOI]

CoRR, 2024

Debiasing Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Attention as Robust Representation for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Model-free Test Time Adaptation for Out-Of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors.

[BibT_eX]

[DOI]

CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2023

Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Power Time Series Forecasting by Pretrained LM.

[BibT_eX]

[DOI]

CoRR, 2023

One Fits All: Power General Time Series Analysis by Pretrained LM.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Sparse Linear Bandits under High Dimensional Data.

[BibT_eX]

[DOI]

Xue Wang

Mike Mingcheng Wei

Tao Yao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

KVT: k-NN Attention for Boosting Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Scaled ReLU Matters for Training Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

KVT: k-NN Attention for Boosting Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Time Series Data Augmentation for Deep Learning: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Time Series Data Augmentation for Deep Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

Xue Wang

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