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20242026
most citedLearning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data

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

collaborators

7 papers

cs.CL2026

CT-Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models

Kegeng Tang, Jingbo Wang, Shaogang Ren +1

In medical imaging, the clinical value of Computed Tomography (CT) lies not only in depicting current disease status, but crucially in enabling longitudinal comparison of serial sc…

cs.CV2026

Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation

Zihao Wang, Yuzhou Chen, Shaogang Ren

Cross-modal image translation remains brittle and inefficient. Standard diffusion approaches often rely on a single, global linear transfer between domains. We find that this short…

cs.LG2025

Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity

Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1

Granger causality characterizes directed predictive dependencies in multivariate time series, but recovering such dependencies becomes challenging in the presence of latent confoun…

cs.AI2025

LLM Based Bayesian Optimization for Prompt Search

Adam Ballew, Jingbo Wang, Shaogang Ren

Bayesian Optimization (BO) has been widely used to efficiently optimize expensive black-box functions with limited evaluations. In this paper, we investigate the use of BO for prom…

cs.LG2025

MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation

Nadia Asif, Zhiqing Hong, Shaogang Ren +3

Non-emergency municipal services such as city 311 systems have been widely implemented across cities in Canada and the United States to enhance residents' quality of life. These sy…

cs.LG2024★ 6 cited

Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data

Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1

Granger causality, commonly used for inferring causal structures from time series data, has been adopted in widespread applications across various fields due to its intuitive expla…

cs.LG2024★ 1 cited

Towards Invariant Time Series Forecasting in Smart Cities

Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1

In the transformative landscape of smart cities, the integration of the cutting-edge web technologies into time series forecasting presents a pivotal opportunity to enhance urban p…