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1. MIND-EEG: Multi-granularity Integration Network with Discrete Codebook for EEG-based Emotion Recognition

2. DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation

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3. A Multi-Label EEG Dataset for Mental Attention State Classification in Online Learning

4. Fully Automated Correlated Time Series Forecasting in Minutes

5. LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition

6. Conditional Lagrangian Wasserstein Flow for Time Series Imputation

7. GLADformer: A Mixed Perspective for Graph-level Anomaly Detection

8. LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection

9. E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series

10. Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data

11. AZGP1 deficiency promotes angiogenesis in prostate cancer.

13. AZGP1 deficiency promotes angiogenesis in prostate cancer

15. TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph

16. LightCTS: A Lightweight Framework for Correlated Time Series Forecasting

17. A framework of the transport model for high-order eddy viscosity tensor in two-dimensional turbulent flow

18. AutoPINN: When AutoML Meets Physics-Informed Neural Networks

20. Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

29. Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey

30. Uncertainty Quantification for Traffic Forecasting: A Unified Approach

40. The controversial role and therapeutic development of the m6A demethylase FTO in renal cell carcinoma

41. Programmable Bispecific Nano-immunoengager That Captures T Cells and Reprograms Tumor Microenvironment

42. AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version