Selected work

Representative Papers

LookAroundNet: Extending Temporal Context with Transformers for Clinically Viable EEG Seizure Detection

Jan 09, 2026arXiv.org

Automatic EEG-based seizure detection faces significant challenges due to substantial inter-patient variability, diverse recording conditions, and the complexity of clinical environments. To address these issues, this work proposes LookAroundNet, a Transformer-based model that mimics clinicians’ interpretation strategy by incorporating contextual information from an extended temporal window surrounding the target EEG segment. The method innovatively enhances temporal context modeling and leverages multi-dataset joint training combined with model ensembling. Evaluated across multiple public and private EEG datasets, LookAroundNet demonstrates superior performance, significantly improving cross-scenario generalization while maintaining clinically feasible computational efficiency, thereby enhancing its practical deployment potential.

1 citationsRead paper

Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models

Sep 15, 2026

本文研究了使用RSSI数据代替CSI数据进行人体定位的可行性，通过跨域推理方法解决了在权限受限设备上应用的问题。

0 citationsRead paper

Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

Sep 09, 2026

本文提出M2Heat框架，通过热传导模型解决高光谱和LiDAR数据融合中的长距离依赖性和复杂各向异性交互问题，实现高效且可解释的多模态特征融合。

0 citationsRead paper

Burn-in-Free Simulation of VARMA Time Series

Aug 29, 2026

Varmapack软件包通过无预热期的精确模拟解决了VARMA时间序列的高效生成问题，支持多种编程接口和计算方法。

0 citationsRead paper

MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning

Aug 28, 2026

研究通过中波红外高光谱成像和机器学习方法解决了工业废塑料自动分类难题，特别是针对碎屑黑色塑料。

0 citationsRead paper

Recent publications

Latest Papers

Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models

Sep 15, 2026

本文研究了使用RSSI数据代替CSI数据进行人体定位的可行性，通过跨域推理方法解决了在权限受限设备上应用的问题。

0 citationsRead paper

Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

Sep 09, 2026

本文提出M2Heat框架，通过热传导模型解决高光谱和LiDAR数据融合中的长距离依赖性和复杂各向异性交互问题，实现高效且可解释的多模态特征融合。

0 citationsRead paper

Burn-in-Free Simulation of VARMA Time Series

Aug 29, 2026

Varmapack软件包通过无预热期的精确模拟解决了VARMA时间序列的高效生成问题，支持多种编程接口和计算方法。

0 citationsRead paper

MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning

Aug 28, 2026

研究通过中波红外高光谱成像和机器学习方法解决了工业废塑料自动分类难题，特别是针对碎屑黑色塑料。

0 citationsRead paper

SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language Models

Aug 06, 2026

This work addresses the challenge of improving grammatical quality in low-resource Nordic languages—Danish, Icelandic, and Norwegian Bokmål—where the scarcity of human-annotated preference data hinders conventional alignment methods. The authors propose SAGA, a novel framework that leverages dependency parser outputs to automatically generate syntax-guided preference pairs without manual annotation. By integrating parsing accuracy and lexical diversity into a composite reward signal, and further enhancing training stability through reward margin filtering and cheating detection mechanisms, SAGA effectively aligns language models with grammatical norms. Experimental results demonstrate substantial gains: Danish parsing success rates rise from 69.0% to 93.8%, Icelandic models show an average 3.3-point improvement in Stanza-based scores, native speakers prefer SAGA-generated outputs in 80% of pairwise comparisons, and Norwegian performance increases by 28 percentage points.

0 citationsRead paper