Tianyu Qiu

2 accepted papers

2025

Enhancing Masked Time-Series Modeling via Dropping Patches

Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao

AAAI 2025technical

This paper explores how to enhance existing masked time-series modeling by randomly dropping sub-sequence level patches of time series. On this basis, a simple yet effective method named DropPatch is proposed, which has two remarkable advantages: 1) It improves the pre-training efficiency by a squar…

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2024

Inferring Occluded Agent Behavior in Dynamic Games From Noise Corrupted Observations

Tianyu Qiu, David Fridovich-Keil

RA-L 2024

In mobile robotics and autonomous driving, it is natural to model agent interactions as the Nash equilibrium of a noncooperative, dynamic game. These methods inherently rely on observations from sensors such as lidars and cameras to identify agents participating in the game and, therefore, have diff

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