Search Results for author: Fei Xiao

Found 5 papers, 1 papers with code

Transductive Learning for Unsupervised Text Style Transfer

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.

Retrieval Style Transfer +3

Predictions of short-term driving intention using recurrent neural network on sequential data

no code implementations28 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.

Autonomous Driving Decision Making

Cascade Ranking for Operational E-commerce Search

no code implementations7 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).

Modeling of the Latent Embedding of Music using Deep Neural Network

no code implementations12 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.

Collaborative Filtering

Robust Local Search for Solving RCPSP/max with Durational Uncertainty

no code implementations18 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.

Management Scheduling

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