Saved in:
| Main Authors: | Wang, Bohan, Liu, Zewen, Lin, Lu, Liu, Hui, Xiong, Li, Jin, Ming, Jin, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.02763 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
by: Ni, Juntong, et al.
Published: (2025)
by: Ni, Juntong, et al.
Published: (2025)
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
by: Liu, Zewen, et al.
Published: (2025)
by: Liu, Zewen, et al.
Published: (2025)
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
by: Liu, Zewen, et al.
Published: (2025)
by: Liu, Zewen, et al.
Published: (2025)
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
by: Ni, Juntong, et al.
Published: (2025)
by: Ni, Juntong, et al.
Published: (2025)
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
by: Huang, Bosong, et al.
Published: (2025)
by: Huang, Bosong, et al.
Published: (2025)
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
by: Wang, Bohan, et al.
Published: (2024)
by: Wang, Bohan, et al.
Published: (2024)
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
by: Fouladgar, Nazanin, et al.
Published: (2024)
by: Fouladgar, Nazanin, et al.
Published: (2024)
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
by: Lafargue, Valentin, et al.
Published: (2025)
by: Lafargue, Valentin, et al.
Published: (2025)
Neural Field Classifiers via Target Encoding and Classification Loss
by: Yang, Xindi, et al.
Published: (2024)
by: Yang, Xindi, et al.
Published: (2024)
Time-Series Contrastive Learning against False Negatives and Class Imbalance
by: Jin, Xiyuan, et al.
Published: (2023)
by: Jin, Xiyuan, et al.
Published: (2023)
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)
by: Lin, Weilin, et al.
Published: (2024)
Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
by: Struppek, Lukas, et al.
Published: (2026)
by: Struppek, Lukas, et al.
Published: (2026)
TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
by: Zhao, Zhiyuan, et al.
Published: (2025)
by: Zhao, Zhiyuan, et al.
Published: (2025)
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution
by: Vu, Kiana, et al.
Published: (2024)
by: Vu, Kiana, et al.
Published: (2024)
EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
by: Liu, Zewen, et al.
Published: (2024)
by: Liu, Zewen, et al.
Published: (2024)
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
by: Liu, Zhipeng, et al.
Published: (2026)
by: Liu, Zhipeng, et al.
Published: (2026)
Explanation Space: A New Perspective into Time Series Interpretability
by: Rezaei, Shahbaz, et al.
Published: (2024)
by: Rezaei, Shahbaz, et al.
Published: (2024)
OATS: Online Data Augmentation for Time Series Foundation Models
by: Deng, Junwei, et al.
Published: (2026)
by: Deng, Junwei, et al.
Published: (2026)
Parallel Complex Diffusion for Scalable Time Series Generation
by: Cai, Rongyao, et al.
Published: (2026)
by: Cai, Rongyao, et al.
Published: (2026)
TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)
by: Liu, Zichuan, et al.
Published: (2024)
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
by: Shu, Hao, et al.
Published: (2025)
by: Shu, Hao, et al.
Published: (2025)
Motif-guided Time Series Counterfactual Explanations
by: Li, Peiyu, et al.
Published: (2022)
by: Li, Peiyu, et al.
Published: (2022)
MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing
by: Liu, Shiyan, et al.
Published: (2026)
by: Liu, Shiyan, et al.
Published: (2026)
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
by: Tran, Toan, et al.
Published: (2025)
by: Tran, Toan, et al.
Published: (2025)
TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025)
by: Xiao, Congxi, et al.
Published: (2025)
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
by: Qiao, Zhongzheng, et al.
Published: (2026)
by: Qiao, Zhongzheng, et al.
Published: (2026)
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
by: Der, Audrey, et al.
Published: (2024)
by: Der, Audrey, et al.
Published: (2024)
Targeted Manipulation: Slope-Based Attacks on Financial Time-Series Data
by: Luszczynski, Dominik
Published: (2025)
by: Luszczynski, Dominik
Published: (2025)
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
by: Li, Beibu, et al.
Published: (2025)
by: Li, Beibu, et al.
Published: (2025)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
by: Li, Siyang, et al.
Published: (2024)
by: Li, Siyang, et al.
Published: (2024)
Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing
by: Touat, Ousmane, et al.
Published: (2024)
by: Touat, Ousmane, et al.
Published: (2024)
Dataset Condensation for Time Series Classification via Dual Domain Matching
by: Liu, Zhanyu, et al.
Published: (2024)
by: Liu, Zhanyu, et al.
Published: (2024)
Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
by: Feng, Naifu, et al.
Published: (2025)
by: Feng, Naifu, et al.
Published: (2025)
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
by: Lin, Xiao, et al.
Published: (2024)
by: Lin, Xiao, et al.
Published: (2024)
Reversible Jump Attack to Textual Classifiers with Modification Reduction
by: Ni, Mingze, et al.
Published: (2024)
by: Ni, Mingze, et al.
Published: (2024)
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses
by: Kabir, Ehsanul, et al.
Published: (2025)
by: Kabir, Ehsanul, et al.
Published: (2025)
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training
by: Chen, Jiamin, et al.
Published: (2024)
by: Chen, Jiamin, et al.
Published: (2024)
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams
by: Liu, Zewen, et al.
Published: (2026)
by: Liu, Zewen, et al.
Published: (2026)
Similar Items
-
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
by: Ni, Juntong, et al.
Published: (2025) -
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
by: Liu, Zewen, et al.
Published: (2025) -
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
by: Liu, Zewen, et al.
Published: (2025) -
U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
by: Ni, Juntong, et al.
Published: (2025) -
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
by: Huang, Bosong, et al.
Published: (2025)