53 citations · 132 across the 14 of their papers we have counts for
7 papers · 1 filter
Variational principle for optimal quantum controls in quantum metrology
Jing Yang, Shengshi Pang, Zekai Chen +2
We develop a variational principle to determine the quantum controls and initial state which optimizes the quantum Fisher information, the quantity characterizing the precision in…
A momentum dependent optical lattice induced by artificial gauge potential
Zekai Chen, Hepeng Yao, Elisha Haber +1
We propose an experimentally feasible method to generate a one-dimensional optical lattice potential in an ultracold Bose gas system that depends on the transverse momentum of the…
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification
Fangtian Zhong, Zekai Chen, Minghui Xu +3
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes,…
DCAP: Deep Cross Attentional Product Network for User Response Prediction
Zekai Chen, Fangtian Zhong, Zhumin Chen +3
User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing a…
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
Zekai Chen, Xiao Zhang, Xiuzhen Cheng
Many real-world scenarios, such as human activity recognition (HAR) in IoT, can be formalized as a multi-task multi-view learning problem. Each specific task consists of multiple s…
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Zekai Chen, Dingshuo Chen, Xiao Zhang +2
Many real-world IoT systems, which include a variety of internet-connected sensory devices, produce substantial amounts of multivariate time series data. Meanwhile, vital IoT infra…
Multi-Task Time Series Forecasting With Shared Attention
Zekai Chen, Jiaze E, Xiao Zhang +2
Time series forecasting is a key component in many industrial and business decision processes and recurrent neural network (RNN) based models have achieved impressive progress on v…