1 code implementation • EMNLP 2021 • Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, HuaWei Shen, Xueqi Cheng
The proposed transductive learning approach is general and effective to the task of unsupervised style transfer, and we will apply it to the other two typical methods in the future.
no code implementations • 28 Mar 2018 • Zhou Xing, Fei Xiao
Predictions of driver's intentions and their behaviors using the road is of great importance for planning and decision making processes of autonomous driving vehicles.
no code implementations • 7 Jun 2017 • Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si
Real-world search applications often involve multiple factors of preferences or constraints with respect to user experience and computational costs such as search accuracy, search latency, size of search results and total CPU cost, while most existing search solutions only address one or two factors; 2).
no code implementations • 12 May 2017 • Zhou Xing, Eddy Baik, Yan Jiao, Nilesh Kulkarni, Chris Li, Gautam Muralidhar, Marzieh Parandehgheibi, Erik Reed, Abhishek Singhal, Fei Xiao, Chris Pouliot
These latent embeddings can be used either as features to feed to subsequent models, such as collaborative filtering, or to build similarity metrics between songs, or to classify music based on the labels for training such as genre, mood, sentiment, etc.
no code implementations • 18 Jan 2014 • Na Fu, Hoong Chuin Lau, Pradeep R. Varakantham, Fei Xiao
Thus, in this paper, our focus is on providing a scalable method for solving RCPSP/max problems with durational uncertainty.