Cheng Chen

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation

2017 · arXiv (Cornell University)

Matrix factorization has now become a dominant solution for personalized recommendation on the Social Web. To alleviate the cold start problem, previous approaches have incorporated various additional sources of information into traditional matrix factorization models. …

The reform of automotive machinery foundation for Applied Undergraduate Course

2018 · Proceedings of the 4th International Symposium on Social Science (ISSS 2018)

The rapid development of the automotive industry has put forward higher and higher requirements for the new technology. The traditional teaching method has been unable to meet the requirements. The development of applied undergraduate education …

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

2020 · arXiv (Cornell University)

Natural policy gradient (NPG) methods are among the most widely used policy optimization algorithms in contemporary reinforcement learning. This class of methods is often applied in conjunction with entropy regularization -- an algorithmic scheme that …

A Partitioning Method for Gamma Gaussian inverse Wishart Probability Hypothesis Density Filter using Kolmogorov-Smirnov Test

2021 · 2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

In multiple extended objects tracking, objects produce more than one measurement per time step. When objects are spatially close or maneuvering, the performance of typical partitioning methods will be reduced. This paper presents a partitioning …

Principles and Practices of Real-Time Feature Computing Platforms for ML

2023 · Communications of the ACM

No abstract available.

A Masked Attention Network with Query Sparsity Measurement for Time Series Anomaly Detection

2023

Time series aomaly detection has been widely studied in recent years. Previous research focuses on point-wise features and pairwise associations for feature learning or designed anomaly scores based on prior knowledge. However, these methods cannot …

Section Location for Ground Faults Based on Primary-secondary Fusion and Current-heat Conversion

2024

A method based on the fusion of primary and secondary, as well as the conversion of current and heat, is introduced to solve the issue of locating the ground fault section. Specifically, a line terminal …

Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Recently, location-based social networks (LBSNs), such as Gowalla, Foursquare, Facebook, and Brightkite, etc., have attracted millions of users to share their social friendship and their locations via check-ins. The available check-in information makes it possible …

Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling

2016

With the rapid growth of social tagging systems, many efforts have been put on tag-aware personalized recommendation. However, due to uncontrolled vocabularies, social tags are usually redundant, sparse, and ambiguous. In this paper, we propose …