3 citations · 8 across the 3 of their papers we have counts for
4 papers
Wasserstein Unsupervised Reinforcement Learning
Shuncheng He, Yuhang Jiang, Hongchang Zhang +2
Unsupervised reinforcement learning aims to train agents to learn a handful of policies or skills in environments without external reward. These pre-trained policies can accelerate…
Combining dissimilarity measure for the study of evolution in scientific fields
Lukun Zheng, Yuhang Jiang
The evolution of scientific fields has been attracting much attention in recent years. One of the key issues in evolution of scientific field is to quantify the dissimilarity betwe…
Deep learning for video game genre classification
Yuhang Jiang, Lukun Zheng
Video game genre classification based on its cover and textual description would be utterly beneficial to many modern identification, collocation, and retrieval systems. At the sam…
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang, Yuqing Yang, Yuhang Jiang +2
Designing accurate and efficient convolutional neural architectures for vast amount of hardware is challenging because hardware designs are complex and diverse. This paper addresse…