FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection
为解决面部特征点检测在复杂条件下的准确性问题，提出FAHCD-Net方法，通过频率自适应热图条件扩散模型和光滑度正则化损失来提高检测精度。
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RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images
为解决红外-可见光图像融合中频率特征处理不灵活的问题，提出RoES网络，通过动态分离高低频成分并采用旋转等变和双分支融合方法提高融合质量。
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FreqFLD: Towards All-in-One Facial Landmark Detection via Frequency Modulation
本文提出FreqFLD，通过频率调制方法解决面部标志点检测中的跨数据集泛化问题，实现全合一的面部标志点检测。
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RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language Models
为提高大型语言模型拒绝行为的可靠性，提出RISA框架，在推理时检查初始响应并选择性修正错误，无需更新基础模型。
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AlphaSeek: Trajectory-Level Self-Iterative Factor Mining Framework for Multi-Source Financial Data
This study addresses the subjectivity and lack of end-to-end feedback in quantitative factor mining by proposing a Large Language Model-driven automated factor generation framework. We introduce a novel trajectory-level evolutionary mechanism combined with self-iterative redundancy-aware ensemble, integrating multi-source information summarization and evolutionary operator search to achieve closed-loop optimization from hypothesis formulation to backtesting. Experiments on the CSI300 index demonstrate superior performance with an annualized return rate of 8.28%, an information ratio of 1.29, and an information coefficient of 0.0454. Furthermore, zero-shot evaluation on the CSI500 validates strong cross-market transferability. These results confirm that the proposed approach significantly enhances both the robustness and generalizability of automated factor discovery processes.
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FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection
为解决面部特征点检测在复杂条件下的准确性问题，提出FAHCD-Net方法，通过频率自适应热图条件扩散模型和光滑度正则化损失来提高检测精度。
0 citationsRead paper
RoES: Rotational Equivariant Selective-frequency Fusion for Multimodal Images
为解决红外-可见光图像融合中频率特征处理不灵活的问题，提出RoES网络，通过动态分离高低频成分并采用旋转等变和双分支融合方法提高融合质量。
0 citationsRead paper
FreqFLD: Towards All-in-One Facial Landmark Detection via Frequency Modulation
本文提出FreqFLD，通过频率调制方法解决面部标志点检测中的跨数据集泛化问题，实现全合一的面部标志点检测。
0 citationsRead paper
RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language Models
为提高大型语言模型拒绝行为的可靠性，提出RISA框架，在推理时检查初始响应并选择性修正错误，无需更新基础模型。
0 citationsRead paper
AlphaSeek: Trajectory-Level Self-Iterative Factor Mining Framework for Multi-Source Financial Data
This study addresses the subjectivity and lack of end-to-end feedback in quantitative factor mining by proposing a Large Language Model-driven automated factor generation framework. We introduce a novel trajectory-level evolutionary mechanism combined with self-iterative redundancy-aware ensemble, integrating multi-source information summarization and evolutionary operator search to achieve closed-loop optimization from hypothesis formulation to backtesting. Experiments on the CSI300 index demonstrate superior performance with an annualized return rate of 8.28%, an information ratio of 1.29, and an information coefficient of 0.0454. Furthermore, zero-shot evaluation on the CSI500 validates strong cross-market transferability. These results confirm that the proposed approach significantly enhances both the robustness and generalizability of automated factor discovery processes.
0 citationsRead paper