Author

Junhao Dong

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Preprint Aug 2026

Close Shortcut Wins Long: Seeking Diverse and Stable Generators for Data-Free Knowledge Distillation

Data-Free Knowledge Distillation (DFKD) preserves privacy by transferring knowledge without real data access. However, existing generator-based DFKD methods suffer from over-reliance on teacher preferences and pattern collapse, exhibiting"generative shortcut learning"in the frequency domain: dependent on specific frequ...

Kailin Lyu, Zherui Zhang, Jun-Hao Dong et al. · 0 citations

#artificial intelligence Preprint Open access Sep 2026

Contagion on the Trading Floor: How Adversarial Signals Spread in Multi-Agent Trading Systems

Multi-agent trading systems built on large language models (LLMs) are beginning to appear in quantitative finance, yet their robustness to adversarial inputs is largely unknown. We study the vulnerability of LLM trading stacks to black-box, input-only attacks that enter solely via admissible social-media feeds. We intr...

Rong-Sua Qi, Jun-Hao Dong, Thai Duc Nguyen et al. · 0 citations

Jul 2026

MedXplore: Towards Reliable and Unbiased Generalized Category Discovery in Medical Imaging

Deep learning has shown strong potential in medical image analysis, but most existing methods rely on large-scale annotations and a closed-world assumption that rarely holds in clinical practice. Although Generalized Category Discovery (GCD) has advanced rapidly on natural images, it remains underexplored in medical im...

Jian-Wei He, Kailin Lyu, Junhao Dong et al. · arXiv.org · 0 citations