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Yu-Hao Huang

Orcid: 0009-0004-0140-8267

Affiliations:
  • Nanjing University (NJU), Key Laboratory for Novel Software Technology, Nanjing, China
  • National University of Kaohsiung, Kaohsiung, Taiwan


According to our database1, Yu-Hao Huang authored at least 9 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Controllable Financial Market Generation with Diffusion Guided Meta Agent.
[BibTeX]
[DOI]
Yu-Hao Huang
,
Chang Xu
,
Yang Liu
,
Weiqing Liu
,
Wu-Jun Li
,
Jiang Bian
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
[BibTeX]
[DOI]
Hao Li
,
Yu-Hao Huang
,
Chang Xu
,
Viktor Schlegel
,
Renhe Jiang
,
Riza Batista-Navarro
,
Goran Nenadic
,
Jiang Bian
CoRR, March, 2025

MIRA: Medical Time Series Foundation Model for Real-World Health Data.
[BibTeX]
[DOI]
Hao Li
,
Bowen Deng
,
Chang Xu
,
Zhiyuan Feng
,
Viktor Schlegel
,
Yu-Hao Huang
,
Yizheng Sun
,
Jingyuan Sun
,
Kailai Yang
,
Yiyao Yu
,
Jiang Bian
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models.
[BibTeX]
[DOI]
Min Hou
,
Yueying Wu
,
Chang Xu
,
Yu-Hao Huang
,
Chenxi Bai
,
Le Wu
,
Jiang Bian
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation.
[BibTeX]
[DOI]
Bowen Deng
,
Chang Xu
,
Hao Li
,
Yu-Hao Huang
,
Min Hou
,
Jiang Bian
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
[BibTeX]
[DOI]
Hao Li
,
Yu-Hao Huang
,
Chang Xu
,
Viktor Schlegel
,
Renhe Jiang
,
Riza Batista-Navarro
,
Goran Nenadic
,
Jiang Bian
Proceedings of the Forty-second International Conference on Machine Learning, 2025

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts.
[BibTeX]
[DOI]
Yu-Hao Huang
,
Chang Xu
,
Yueying Wu
,
Wu-Jun Li
,
Jiang Bian
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance.
[BibTeX]
[DOI]
Huan-Yi Su
,
Ke Wu
,
Yu-Hao Huang
,
Wu-Jun Li
CoRR, 2024

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process.
[BibTeX]
[DOI]
Xinyao Fan
,
Yueying Wu
,
Chang Xu
,
Yuhao Huang
,
Weiqing Liu
,
Jiang Bian
Proceedings of the Twelfth International Conference on Learning Representations, 2024


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