Ruiwen Gu — accepted AI-conference papers

2025

Multi-View 3D Human Pose Estimation with Weakly Synchronized Images

Ling Li, Ruiwen Gu, Chongyang Wang, Junliang Xing, Xinchun Yu, Xiao-Ping Zhang

AAAI 2025technical

Multi-view 3D human pose estimation (MHPE) is an important research task in computer vision. To maintain consistency during the data collection, hardware synchronization devices are commonly used to connect cameras, ensuring that images from different views are captured simultaneously. However, sync…

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2025

SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series

Qitai Tan, Yiyun Chen, Mo Li, Ruiwen Gu, Yilin Su, Xiao-Ping Zhang

NeurIPS 2025poster

Recent advances in deep learning have driven rapid progress in time series forecasting, yet many state-of-the-art models continue to struggle with robust performance in real-world applications, even when they achieve strong results on standard benchmark datasets. This persistent gap can be attribute…

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