Tianqi Yang

2 accepted papers

2026

Generative 3D State Estimation for DLOs From Partial Observations

Yunxi Tang, Tianqi Yang, Jing Huang, Xiangyu Chu, K. W. Samuel Au

RA-L 2026

Accurate 3D shape estimation of deformable linear objects (DLOs) from sensory data is a critical prerequisite for downstream manipulation tasks like shape control. However, real-world scenarios often contain unstructured environments and yield noisy, partial observations, posing significant challeng

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2025

Diffusion Guided Propagation Augmentation for Popularity Prediction

Chaozhuo Li, Tianqi Yang, Litian Zhang, Xi Zhang

IJCAI 2025

The prediction of information popularity propagation is critical for applications such as recommendation systems, targeted advertising, and social media trend analysis. Traditional approaches primarily rely on historical cascade data, often sacrificing timeliness for prediction accuracy. These metho

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