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Home/Authors/Yuan Gao

Yuan Gao

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Stats ML×1ML×1Vision×1AI×1NLP×1

Frequent co-authors

Jin Su1×
Yong Zhou1×
Jian Huang1×
Tomasz Stanczyk1×
Hardik Agarwal1×
Seongroo Yoon1×

Research Timeline

2026
Demystifying Data Organization for Enhanced LLM Training

This paper proposes four guidelines and two novel data ordering methods (STR and SAW) to systematically optimize data organization, significantly enhancing the stability and performance of LLM training.

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps

The paper introduces WaspMOT, a new benchmark for long-term multi-object tracking, and evaluates five tracking-by-detection methods.

Semi-Supervised Conditional Diffusion via Label Augmentation

The paper introduces Label-Augmented Conditional Diffusion (LACD), a method for learning complex conditional distributions using unlabeled data, and provides theoretical guarantees for its effectiveness.

Highlighted terms show continued research focus across papers

Papers

stat.MLcs.LGTheoreticalRecentJul 18, 2026

Semi-Supervised Conditional Diffusion via Label Augmentation

Jin Su, Yuan Gao, Yong Zhou, Jian Huang

The paper introduces Label-Augmented Conditional Diffusion (LACD), a method for learning complex conditional distributions using unlabeled data, and provides theoretical guarantees for its effectivene…

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cs.CVEmpirical
Recent
Jul 9, 2026

WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps

Tomasz Stanczyk, Yuan Gao, Hardik Agarwal, Seongroo Yoon +3 more

The paper introduces WaspMOT, a new benchmark for long-term multi-object tracking, and evaluates five tracking-by-detection methods.

View →
cs.AIcs.CLRecentMay 28, 2026

Demystifying Data Organization for Enhanced LLM Training

Yalun Dai, Yangyu Huang, Tongshen Yang, Yonghan Wang +7 more

This paper proposes four guidelines and two novel data ordering methods (STR and SAW) to systematically optimize data organization, significantly enhancing the stability and performance of LLM trainin…

View →