Jie Xu

Publisher's Note: Generic quantum walks with memory on regular graphs [Phys. Rev. A<b>93</b>, 042323 (2016)]

2016 · Physical Review A

Received 19 April 2016DOI:https://doi.org/10.1103/PhysRevA.93.049905©2016 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasQuantum computationQuantum simulationQuantum Information

Relaxation for Constrained Decentralized Markov Decision Processes: (Extended Abstract)

2016

This paper studies a class of decentralized multi-agent stochastic optimization problems. In these problems, each agent has only a partial view of the world state, and a partial control of the actions but must cooperatively …

OGC Geographic Information Service Deductive Semantic Reasoning Based on Description Vocabularies Reduction

2015 · DOAJ (DOAJ: Directory of Open Access Journals)

As geographic information interoperability and sharing developing, more and more interoperable OGC (open geospatial consortium) Web services (OWS) are generated and published through the internet. These services can facilitate the integration of different scientific applications …

A Reinforcement Learning Based System for Minimizing Cloud Storage Service Cost

2020

Currently, many web applications are deployed on cloud storage service provided by cloud service providers (CSPs). A CSP offers different types of storage including hot, cold and archive storage and sets unit prices for these …

Description and implementation of business logic for end-user-initiative development

2015 · Communications in computer and information science

The development of Web applications should be supported by business professionals since Web applications must be modified frequently based on their needs. In our recent studies utilizing the three-tier architecture of user interfaces, business logic …

Parallel Interactive Networks for Multi-Domain Dialogue State Generation

2020 · arXiv (Cornell University)

The dependencies between system and user utterances in the same turn and across different turns are not fully considered in existing multidomain dialogue state tracking (MDST) models. In this study, we argue that the incorporation …

Multicore Federated Learning for Mobile-Edge Computing Platforms

2022 · IEEE Internet of Things Journal

With increasingly strict data privacy regulations, federated learning (FL) has become one of the most often heard machine learning techniques due to its privacy-preserving trait. To efficiently implement the FL intelligence, researchers recently resort to …

A Security Protection Technology Based on Multi-factor Authentication

2022 · 2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC)

Today, with the rapid development of the information society and the increasingly complex computer network environment, multi-factor authentication, as one of the security protection technologies, plays an important role in both IT science and business. …

Adaptive User-Centric Entanglement Routing in Quantum Data Networks

2024 · arXiv (Cornell University)

Distributed quantum computing (DQC) holds immense promise in harnessing the potential of quantum computing by interconnecting multiple small quantum computers (QCs) through a quantum data network (QDN). Establishing long-distance quantum entanglement between two QCs for …

Contrastive Preference Learning for Neural Machine Translation

2024

There exists a discrepancy between the tokenlevel objective during training and the overall sequence-level quality that is expected from the model.This discrepancy leads to issues like exposure bias.To align the model with human expectations, sequence-level …

Knowledge Base Enabled Semantic Communication: A Generative Perspective

2024 · IEEE Wireless Communications

Semantic communication is widely touted as a key technology for propelling sixth-generation (6G) wireless networks. However, providing effective semantic representation is quite challenging in practice. To address this issue, this article takes a crack at …

Fed-CAD: Federated Learning with Correlation-aware Adaptive Local Differential Privacy

2024

Federated Learning (FL) enables multiple participants to collaboratively train a globally shared model without the need of explicit data sharing. However, prior research indicates that local model updates released during the federated training may also …

A Deep Learning Based Assessment Method for Rehabilitation Exercises

2024

The most common symptom of stroke is limb dysfunction, resulting in a reduced quality of life for the patient. Patients can be rehabilitated through specific exercises movements. However, when the exercises are performed without the …