Research
Journal Papers
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S. Xu.
VIMAR: Vision-Language Informed Malware Analysis and Reasoning Model
Cybersecurity, 2026
journal
We propose VIMAR, a unified vision-language model that supports malware family classification, similarity detection, and open-world analysis via explanation-rich supervision and...
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S. Xu.
DEEP-CWS
Information Sciences, 2025
journal
Distilling Efficient pre-trained models with Early exit and Pruning for scalable Chinese Word Segmentation. Achieves over 100x speedup in inference latency while maintaining F1 ...
Conference Papers
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S. Xu, et al.
BED: Chinese Word Segmentation Model Based on Boundary-Enhanced Decoder
CACML 2024, 2024
conference
A novel Boundary-Enhanced Decoder (BED) for Chinese Word Segmentation that improves Average-F1 by 0.05% and OOV Average-F1 by 0.69%, particularly effective for out-of-vocabulary...
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S. Xu, et al.
Automatic Task Requirements Evaluation
AIED 2021, 2021
conference
Automatic evaluation of task requirements writing via machine reading comprehension, published at AIED 2021.
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S. Xu, et al.
Dialogic Instruction Detection
AIED 2020, 2020
conference
Automatic dialogic instruction detection for K-12 online one-on-one classes, published at AIED 2020.
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S. Xu, et al.
Malicious Application Detection
IEEE iThings-GreenCom-CPSCom-SmartData 2016, 2016
conference
Malicious application dynamic detection in real-time API analysis, published at IEEE iThings-GreenCom-CPSCom-SmartData 2016.
Research Interests
NLP
Chinese word segmentation, grammar correction, writing evaluation, and question answering systems.
Deep Learning
Vision-language models, model distillation, efficient inference, and multimodal reasoning.
Information Security
Malware family classification, dynamic analysis, and real-time detection systems.
Data Mining
Customer classification, clustering, and large-scale behavior analysis.