Meiyi Yang

2 accepted papers

2026

Behaviour-Aware Adaptive Path Planning With Q-Learning Weight Adaptation

RA-L 2026

This article proposes a dynamic path cost modelling framework that integrates fuzzy C-means clustering, association rule mining, and a Q-learning-based weight adaptation mechanism to achieve multi-objective collaborative path planning based on active perception of obstacle behaviour patterns. The me

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2022

Cost Ensemble with Gradient Selecting for GANs

Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Nianbo Liu, Ming Liu +1

IJCAI 2022poster

Generative Adversarial Networks(GANs) are powerful generative models on numerous tasks and datasets but are also known for their training instability and mode collapse. The latter is because the optimal transportation map is discontinuous, but DNNs can only approximate continuous ones. One way to so…

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