Author

Hao Ni

3 papers indexed here

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#machine learning Aug 2025

Sig-DEG for Distillation: Making Diffusion Models Faster and Lighter

Sig-DEG (Signature-based Differential Equation Generator), a generator for distilling pre-trained diffusion models, combines partial signatures that summarize Brownian motion over subintervals with a recurrent structure to approximate stochastic differential equation solutions to achieve universality.

Wen-Hang Ge, Lei Jiang, Ling-Yi Yang et al. · arXiv.org · 4 citations

Preprint Aug 2026

EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection

Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs consistently across assets and market regimes. Conventional workflows consequently depend heavily on expert-driven model selection, feature d...

Lei Jiang, Yehua Wei, Xinyu Xi et al. · 0 citations

Preprint Aug 2026

Poisoning Agentic Alpha: Adversarial Vulnerabilities Across Roles and Architectures in Multi-Agent Trading Systems

This paper presents the first systematic empirical study in the financial domain to characterize how an adversarial signal enters a multi-agent trading system and how far it survives toward the decision, and evaluates four communication topologies under data- and agent-level attacks.

CheolWon Na, Hao Ni, Lukasz Szpruch et al. · 0 citations