5 citations · 7 across the 5 of their papers we have counts for
5 papers
A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations
Tianying Wang, Iuliana Ionita-Laza, Ying Wei
Transcriptome-wide association studies (TWAS) are powerful tools for identifying gene-level associations by integrating genome-wide association studies and gene expression data. Ho…
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
Tianying Wang, En Yen Puang, Marcus Lee +2
We present an end-to-end Reinforcement Learning(RL) framework for robotic manipulation tasks, using a robust and efficient keypoints representation. The proposed method learns keyp…
Deep N-ary Error Correcting Output Codes
Hao Zhang, Joey Tianyi Zhou, Tianying Wang +2
Ensemble learning consistently improves the performance of multi-class classification through aggregating a series of base classifiers. To this end, data-independent ensemble metho…
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang, Hao Zhang, Wei Qi Toh +5
Learning-based methods have been used to pro-gram robotic tasks in recent years. However, extensive training is usually required not only for the initial task learning but also for…
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
Tianying Wang, Wei Qi Toh, Hao Zhang +4
Robotic drawing has become increasingly popular as an entertainment and interactive tool. In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system…