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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
AI Education System — Video Generation Module Permalink
Published:
Backend algorithm development for educational video generation in an AI-powered education platform.
Threat Hunting Process Modeling for C2 Detection Events Permalink
Published:
Standardized post-investigation knowledge system for C2 detection scenarios in security operations.
publications
Frequency-Aware Domain Generalization
Published in IEEE Transactions on Image Processing (TIP), 2026
Introduces a frequency-aware approach for domain generalization by leveraging spectral domain information.
Recommended citation: Xiang Xiang, Jing Ma, Hanlin Li, et al. (2026). "Frequency-Aware Domain Generalization." IEEE TIP 2026.
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Decoupled Entropy Minimization
Published in Advances in Neural Information Processing Systems (NeurIPS), 2026
Proposes decoupled entropy minimization for improved test-time adaptation and domain generalization.
Recommended citation: Jing Ma, Hanlin Li, Xiang Xiang. (2026). "Decoupled Entropy Minimization." NeurIPS 2026, 38: 161195–161230.
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PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
Published in International Conference on Machine Learning (ICML), 2026
Proposes PTTA, a method that purifies malicious samples to enable robust test-time model adaptation.
Recommended citation: Jing Ma, Hanlin Li, Xiang Xiang. (2025). "PTTA: Purifying Malicious Samples for Test-Time Model Adaptation." ICML 2025.
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Why Feature Magnitude Deceives OOD Detectors: An Angular Separation Perspective
Published in European Conference on Computer Vision (ECCV), 2026
Reveals why feature magnitude misleads OOD detectors and proposes an angular separation perspective for robust out-of-distribution detection.
Recommended citation: Hanlin Li, Jing Ma, Zehang Wei, Jiamin Yan, Xiang Xiang. (2026). "Why Feature Magnitude Deceives OOD Detectors: An Angular Separation Perspective." ECCV 2026.
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