Yu-Hao Huang

7 papers at tracked venues · 7 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×2 SIGKDD ×2 ICLR ×1 ICML ×1 NeurIPS ×1

Frequent coauthors

Chang Xu

×7

Jiang Bian

×7

Hao Li

×3

Yueying Wu

×3

Weiqing Liu

×2

Wu-Jun Li

×2

Viktor Schlegel

×2

Min Hou

×2

Bowen Deng

×2

Yang Liu

×1

Renhe Jiang

×1

Riza Batista-Navarro

×1

Papers

Controllable Financial Market Generation with Diffusion Guided Meta Agent
AAAI 2026 · Yu-Hao Huang,
Chang Xu
,
Yang Liu
,
Weiqing Liu
,
Wu-Jun Li
,
Jiang Bian
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
ICML 2025 ·
Hao Li
, Yu-Hao Huang,
Chang Xu
,
Viktor Schlegel
,
Renhe Jiang
,
Riza Batista-Navarro
,
Goran Nenadic
,
Jiang Bian
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
SIGKDD 2025 ·
Min Hou
,
Yueying Wu
,
Chang Xu
, Yu-Hao Huang,
Chenxi Bai
,
Le Wu
,
Jiang Bian
MIRA: Medical Time Series Foundation Model for Real-World Health Data
NeurIPS 2025 ·
Hao Li
,
Bowen Deng
,
Chang Xu
,
Zhiyuan Feng
,
Viktor Schlegel
, Yu-Hao Huang,
Yizheng Sun
,
Jingyuan Sun
,
Kailai Yang
,
Yiyao Yu
,
Jiang Bian
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
SIGKDD 2025 ·
Bowen Deng
,
Chang Xu
,
Hao Li
, Yu-Hao Huang,
Min Hou
,
Jiang Bian
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
AAAI 2025 · Yu-Hao Huang,
Chang Xu
,
Yueying Wu
,
Wu-Jun Li
,
Jiang Bian
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
ICLR 2024 ·
Xinyao Fan
,
Yueying Wu
,
Chang Xu
, Yuhao Huang,
Weiqing Liu
,
Jiang Bian