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20212026
most citedLearning Non-Stationary Time-Series with Dynamic Pattern Extractions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network

Yulong Chen, Ziqian Zhang, Haoyu Zhang +4

Text-guided image editing must introduce the requested changes while preserving unrelated source content. In training-free editing, diffusion editors often use spatial controls who…

cs.CV2026

One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction

Yulong Chen, Xiaoyun Dong, Haoyu Zhang +6

Reconstructing dynamic scenes from Vehicle-to-Infrastructure Cooperative Autonomous Driving (VICAD) data is fundamentally complicated by temporal asynchrony: vehicle and infrastruc…

cs.AI2026

Uniform Inductive Spatio-Temporal Kriging

Lewei Xie, Haoyu Zhang, Yulong Chen +3

Inductive spatio-temporal kriging infers signals at unobserved locations from observed sensors, but real-world observations are often incomplete and exhibit block-wise missingness…

cs.LG2025

Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective

Haoyu Zhang, Yuxuan Cheng, Wenqi Fan +2

Graph neural networks (GNNs) have achieved remarkable success in various domains, yet they often struggle with domain adaptation due to significant structural distribution shifts a…

cs.CL2025

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model

Zongxian Yang, Jiayu Qian, Kay Chen Tan +4

Large language models (LLMs) face significant challenges in specialized biomedical tasks due to the inherent complexity of medical reasoning and the sensitive nature of clinical da…

cs.LG2021★ 1 cited

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions

Xipei Wang, Haoyu Zhang, Yuanbo Zhang +4

The era of information explosion had prompted the accumulation of a tremendous amount of time-series data, including stationary and non-stationary time-series data. State-of-the-ar…