Author

Bing Wang

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Conference Open access Sep 2026

Perturbation Matters in Time Series Forecasting: A Wave-attention-aware Transformer Method

Time series forecasting (TSF) refers to a fundamental task of predicting future sequential data based on historical observations. One representative category of TSF methods is transformer-based approaches, which translate time series into token sequences (i.e., as raw texts) before applying well-established transformer...

Yiming Wang, Yiqin Su, Xi-Ming Li et al. · Proceedings of the Thirty-Fi... · 0 citations

#artificial intelligence Preprint Sep 2026

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

EoupCT effectively preserves both task-specific proficiency and inherent general-purpose knowledge, successfully mitigating the catastrophic forgetting, and forms a multi-objective optimization problem and introduces a first-order efficient Pareto optimizer.

Bing Wang, C. Li, Xin-Qiang Cai et al. · 1 citation

Open access Aug 2026

Weakly-Supervised Learning with Partial Multi-Labels by Leveraging Dual Label Correlation Perspectives

A novel PML method, namely Wasserstein Partial Multi-Label Learning with dual Label Correlation Perspectives (Wpml3cp), solved by the gradient descent with an augmented Lagrange multiplier technique, and empirical results demonstrate that Wpml3cp and Wpml3cp-D can outperform the PML baselines in various noisy levels.

Xi-Ming Li, Yuanchao Dai, Bing Wang et al. · ACM Transactions on Knowledg... · 0 citations