59 citations · 80 across the 7 of their papers we have counts for
7 papers
Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow
Jie Li, Jiawei Wang, Shengbo Eben Li +1
Connected and automated vehicles (CAVs) technologies promise to attenuate undesired traffic disturbances. However, in mixed traffic where human-driven vehicles (HDVs) also exist, t…
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan, Yuxuan Jiang, Yao Mu +2
Motion prediction is crucial for autonomous vehicles to operate safely in complex traffic environments. Extracting effective spatiotemporal relationships among traffic elements is…
Quantum Inspired Word Representation and Computation
Shen Li, Renfen Hu, Jinshan Wu
Word meaning has different aspects, while the existing word representation "compresses" these aspects into a single vector, and it needs further analysis to recover the information…
Self-Balanced Dropout
Shen Li, Chenhao Su, Renfen Hu +1
Dropout is known as an effective way to reduce overfitting via preventing co-adaptations of units. In this paper, we theoretically prove that the co-adaptation problem still exists…
Generalize Symbolic Knowledge With Neural Rule Engine
Shen Li, Hengru Xu, Zhengdong Lu
As neural networks have dominated the state-of-the-art results in a wide range of NLP tasks, it attracts considerable attention to improve the performance of neural models by integ…
From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Hengru Xu, Shen Li, Renfen Hu +2
Dropout is used to avoid overfitting by randomly dropping units from the neural networks during training. Inspired by dropout, this paper presents GI-Dropout, a novel dropout metho…
Analogical Reasoning on Chinese Morphological and Semantic Relations
Shen Li, Zhe Zhao, Renfen Hu +3
Analogical reasoning is effective in capturing linguistic regularities. This paper proposes an analogical reasoning task on Chinese. After delving into Chinese lexical knowledge, w…