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20242026
most citedDiffusion-TS: Interpretable Diffusion for General Time Series Generation

12 citations · 12 across the 7 of their papers we have counts for

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cs.LG2026

On the (Generative) Linear Sketching Problem

Xinyu Yuan, Yan Qiao, Zonghui Wang +1

Sketch techniques have been extensively studied in recent years and are especially well-suited to data streaming scenarios, where the sketch summary is updated quickly and compactl…

cs.LG2026

Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models

Xinyu Yuan, Yan Qiao, Zonghui Wang +1

The multi-commodity flow (MCF) problem is a fundamental topic in network flow and combinatorial optimization, with broad applications in transportation, communication, and logistic…

cs.LG2025

Aeolus: A Multi-structural Flight Delay Dataset

Lin Xu, Xinyun Yuan, Yuxuan Liang +2

We introduce Aeolus, a large-scale Multi-modal Flight Delay Dataset designed to advance research on flight delay prediction and support the development of foundation models for tab…

cs.LG2024

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth

Xinyu Yuan, Yan Qiao, Meng Li +4

Estimating the frequency of items on the high-volume, fast data stream has been extensively studied in many areas, such as database and network measurement. Traditional sketches pr…

cs.LG2024★ 12 cited

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Xinyu Yuan, Yan Qiao

Denoising diffusion probabilistic models (DDPMs) are becoming the leading paradigm for generative models. It has recently shown breakthroughs in audio synthesis, time series imputa…