53 citations · 132 across the 14 of their papers we have counts for
14 papers
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data
Zekai Chen, Fuyi Wang, Zhiwei Zheng +2
Federated learning (FL) enables multiple clients to collaboratively train deep learning models while considering sensitive local datasets' privacy. However, adversaries can manipul…
On the generalized Fibonacci sequence of polynomials over finite fields
Zekai Chen, Min Sha, Chen Wei
In this paper, as an analogue of the integer case, we study detailedly the period and the rank of the generalized Fibonacci sequence of polynomials over a finite field modulo an ar…
Language Models are Few-shot Learners for Prognostic Prediction
Zekai Chen, Mariann Micsinai Balan, Kevin Brown
Clinical prediction is an essential task in the healthcare industry. However, the recent success of transformers, on which large language models are built, has not been extended to…
A quantum register using collective excitations in a Bose-Einstein condensate
Elisha Haber, Zekai Chen, Nicholas P. Bigelow
A qubit made up of an ensemble of atoms is attractive due to its resistance to atom losses, and many proposals to realize such a qubit are based on the Rydberg blockade effect. In…
Masked Image Modeling Advances 3D Medical Image Analysis
Zekai Chen, Devansh Agarwal, Kshitij Aggarwal +5
Recently, masked image modeling (MIM) has gained considerable attention due to its capacity to learn from vast amounts of unlabeled data and has been demonstrated to be effective o…
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…
An SU(2) geometric phase induced by periodically driven Raman process in an ultracold dilute Bose gas
Zekai Chen, Joseph D. Murphree, Nicholas P. Bigelow
We propose a practical protocol to generate and observe a non-Abelian geometric phase using a periodically driven Raman process in the hyperfne ground state manifold of atoms in a…
Practical Advantages of Almost-Balanced-Weak-Values Metrological Techniques
Julián Martínez-Rincón, Zekai Chen, John C. Howell
Precision measurements of ultra-small linear velocities of one of the mirrors in a Michelson interferometer are performed using two different weak-values techniques. We show that t…