120 citations · 257 across the 11 of their papers we have counts for
11 papers
KIT MOMA: A Mobile Machines Dataset
Yusheng Xiang, Hongzhe Wang, Tianqing Su +4
Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology. However, vigorously thriving development and innovation are happ…
A novel Algorithm for Hydrostatic-mechanical Mobile Machines with a Dual-Clutch Transmission
Yusheng Xiang, Ruoyu Li, Christine Brach +2
Mobile machines using a hydrostatic transmission is highly efficient under lower working-speed condition but less capable at higher transport velocities. To enhance overall efficie…
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Xiaoyuan Yi, Ruoyu Li, Cheng Yang +2
As an essential step towards computer creativity, automatic poetry generation has gained increasing attention these years. Though recent neural models make prominent progress in so…
Chinese Poetry Generation with a Salient-Clue Mechanism
Xiaoyuan Yi, Ruoyu Li, Maosong Sun
As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations. Automatic poetry composition is a challenge for AI. In recent years, signif…
Chinese Poetry Generation with a Working Memory Model
Xiaoyuan Yi, Maosong Sun, Ruoyu Li +1
As an exquisite and concise literary form, poetry is a gem of human culture. Automatic poetry generation is an essential step towards computer creativity. In recent years, several…
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chaochao Yan, Jiawen Yao, Ruoyu Li +2
Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice. While detecting thoracic diseases on chest X-rays is still a chall…
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions
Feiyun Zhu, Jun Guo, Ruoyu Li +1
We consider the actor-critic contextual bandit for the mobile health (mHealth) intervention. State-of-the-art decision-making algorithms generally ignore the outliers in the datase…
Adaptive Graph Convolutional Neural Networks
Ruoyu Li, Sheng Wang, Feiyun Zhu +1
Graph Convolutional Neural Networks (Graph CNNs) are generalizations of classical CNNs to handle graph data such as molecular data, point could and social networks. Current filters…
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Ruoyu Li, Junzhou Huang
Convolution Neural Networks on Graphs are important generalization and extension of classical CNNs. While previous works generally assumed that the graph structures of samples are…
Generating Chinese Classical Poems with RNN Encoder-Decoder
Xiaoyuan Yi, Ruoyu Li, Maosong Sun
We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate q…
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios
Onur Ozdemir, Ruoyu Li, Pramod K. Varshney
The performance of a modulation classifier is highly sensitive to channel signal-to-noise ratio (SNR). In this paper, we focus on amplitude-phase modulations and propose a modulati…