Yongwei Li — accepted AI-conference papers

2025

HGAT-CP: Heterogeneous Graph Attention Network for Collision Prediction in Autonomous Driving

Yongzhi Jiang, Bin Zhou, Yongwei Li, Xinkai Wu, Zhongxia Xiong

ICRA 2025

Predicting potential collision events is beneficial to ensure the driving safety of autonomous vehicles. Existing graph-based collision prediction methods rely heavily on domain knowledge and predefined semantic relations, limiting their flexibility and adaptability in complex driving scenarios. To

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2024

Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition

Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Wenhuan Lu, Di Jin +1

ICASSP 2024accepted

In the tasks of domain adaptation (DA) for speech emotion recognition (SER), self-supervised learning (SSL) algorithms could effectively explore domain and structural information from target domain samples, thereby mitigating domain discrepancies. However, in a general setting, when the target domai…

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