Xinwei Zhang

Orcid: 0000-0002-1267-5182

According to our database1, Xinwei Zhang authored at least 85 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Knowledge distillation-optimized two-stage anomaly detection for liquid rocket engine with missing multimodal data.
Reliab. Eng. Syst. Saf., January, 2024

2-Additive Multilinear Target-Oriented Preference Functions for Target Setting of Design Requirements.
IEEE Trans. Engineering Management, 2024

Pre-training Differentially Private Models with Limited Public Data.
CoRR, 2024

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints.
CoRR, 2024

Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks.
Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

2023
Unsupervised Multimodal Anomaly Detection With Missing Sources for Liquid Rocket Engine.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Automatic Context Pattern Generation for Entity Set Expansion.
IEEE Trans. Knowl. Data Eng., December, 2023

A graph embedded in graph framework with dual-sequence input for efficient anomaly detection of complex equipment under insufficient samples.
Reliab. Eng. Syst. Saf., October, 2023

Multi-agent collaborative conceptual design method for robotic manufacturing systems in small- and mid-sized enterprises.
Comput. Ind. Eng., September, 2023

An asymmetrical graph Siamese network for one-classanomaly detection of engine equipment with multi-source fusion.
Reliab. Eng. Syst. Saf., July, 2023

Structure Evolution on Manifold for Graph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Traffic Breakdown Probability Estimation for Mixed Flow of Autonomous Vehicles and Human Driven Vehicles.
Sensors, April, 2023

Understanding a Class of Decentralized and Federated Optimization Algorithms: A Multirate Feedback Control Perspective.
SIAM J. Optim., 2023

Pre-trained Trojan Attacks for Visual Recognition.
CoRR, 2023

Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach.
CoRR, 2023

On semi-supervised estimation using exponential tilt mixture models.
CoRR, 2023

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification.
CoRR, 2023

A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy.
CoRR, 2023

A new method using deep learning to predict the response to cardiac resynchronization therapy.
CoRR, 2023

Persistently Trained, Diffusion-assisted Energy-based Models.
CoRR, 2023

GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data.
CoRR, 2023

State-of-Charge Estimation for Lead-Acid Battery Using Isolation Forest Algorithm and Long Short Term Memory Network With Attention Mechanism.
IEEE Access, 2023

PROPH: A Contention-free and Elastic Bandwidth Scheduling Scheme for AWGR-based Optical DCN.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

TECIS: The First Mission Towards Forest Carbon Mapping By Combination Of Lidar And Multi-Angle Optical Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Research on Remote Sensing Satellite Onboard Fire Detection and Real-Time Transmission Technology.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

DBE-voting: A Privacy-Preserving and Auditable Blockchain-Based E-Voting System.
Proceedings of the IEEE International Conference on Communications, 2023

2022
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process., 2022

Multi-factor indicator of THIC intelligent lighting system with BP neural network.
J. Supercomput., 2022

On Loss Functions and Regret Bounds for Multi-Category Classification.
IEEE Trans. Inf. Theory, 2022

Deep Reinforcement Learning for Traffic Signal Control Model and Adaptation Study.
Sensors, 2022

ReSAW: a reconfigurable and picosecond-synchronized optical data center network based on an AWGR and the WR protocol.
JOCN, 2022

Deep-Learning-Based Physical-Layer Secret Key Generation for FDD Systems.
IEEE Internet Things J., 2022

Multilinear target-based decision analysis with hybrid-information targets and performance levels.
Fuzzy Optim. Decis. Mak., 2022

Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments.
CoRR, 2022

Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective.
CoRR, 2022

Grow and Merge: A Unified Framework for Continuous Categories Discovery.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms.
Proceedings of the International Conference on Machine Learning, 2022

Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy.
Proceedings of the International Conference on Machine Learning, 2022

MemoCraft: An Easy Design System for Interactive Edutainment.
Proceedings of the International Conference on Human Machine Interaction, 2022

Compass: A Penalty-based Routing with High Success Ratio in Payment Channel Networks.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

Multivariate Modeling Analysis Based on Partial Least Squares Regression and Principal Component Regression.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022

2021
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data.
IEEE Trans. Signal Process., 2021

A Planimetric Location Method for Laser Footprints of the Chinese Gaofen-7 Satellite Using Laser Spot Center Detection and Image Matching to Stereo Image Product.
IEEE Trans. Geosci. Remote. Sens., 2021

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture.
Inf. Sci., 2021

Prioritizing and aggregating interacting requirements for product-service system development.
Expert Syst. Appl., 2021

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI.
CoRR, 2021

Kineticist: Kinetic Sculpture Design Using Multilevel Skeletons.
IEEE Computer Graphics and Applications, 2021

Secret Key Generation for FDD Systems Based on Complex-Valued Neural Network.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Secret Key Generation Scheme Based on Generative Adversarial Networks in FDD Systems.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

ReDCN: A Dynamic Bandwidth Enabled Optical Reconfigurable Data Center Network.
Proceedings of CECNet 2021, 2021

2020
Pattern understanding and synthesis based on layout tree descriptor.
Vis. Comput., 2020

Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag., 2020

The Solar-Induced Chlorophyll Fluorescence Imaging Spectrometer (SIFIS) Onboard the First Terrestrial Ecosystem Carbon Inventory Satellite (TECIS-1): Specifications and Prospects.
Sensors, 2020

Research on application of variable coding modulation system based on Digital Video Broadcasting - Satellite - 2nd Generation in data transmission of near-earth remote sensing satellite.
Int. J. Satell. Commun. Netw., 2020

Hybrid Federated Learning: Algorithms and Implementation.
CoRR, 2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.
CoRR, 2020

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data.
CoRR, 2020

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR, 2020

A personalized requirement identifying model for design improvement based on user profiling.
Artif. Intell. Eng. Des. Anal. Manuf., 2020

Responsive Motif Exploration Using Symmetry Dependency Syntax.
Proceedings of the 9th International Conference on Software and Computer Applications, 2020

A Sum-of-Squares Optimization Method for Learning and Controlling Photovoltaic Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Fabrication of a Piezoresistive Barometric Pressure Sensor by a Silicon-on-Nothing Technology.
J. Sensors, 2019

Horizontal inventory coordination in supply chain based on multi-objective genetic algorithm.
J. Intell. Fuzzy Syst., 2019

A Communication Efficient Vertical Federated Learning Framework.
CoRR, 2019

Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models.
CoRR, 2019

p-hub median location optimization of hub-and-spoke air transport networks in express enterprise.
Concurr. Comput. Pract. Exp., 2019

Analysis on supply-demand system of automotive manufacturer-supplier with Synergetics.
Clust. Comput., 2019

Intelligent Onboard Processing and Multichannel Transmission Technology for Infrared Remote Sensing Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
Proceedings of the IEEE Data Science Workshop, 2019

DImplementing First-order Optimization Methods: Algorithmic Considerations and Bespoke Microcontrollers.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Behaviour Pattern When Designers Have Difficulties.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Research on High Resolution Thermal Infrared Satellite Technology and Applications.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Research on Domain Binding Information Environment System of Flower with GPRS.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

Planning and Design of the Plant Growth Model Based on Internet of Things.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2015
一种属性可撤销的安全云存储模型 (Secure Model of Cloud Storage Supporting Attribute Revocation).
计算机科学, 2015

Can Sentiment Analysis Help Mimic Decision-Making Process of Loan Granting? A Novel Credit Risk Evaluation Approach Using GMKL Model.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Short Text Classification based on feature extension using The N-Gram model.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Can Web News Media Sentiments Improve Stock Trading signal Prediction?
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

Flow identification and characteristics mining from internet traffic with hadoop.
Proceedings of the International Conference on Computer, 2014

2013
A prescriptive approach to qualify and quantify customer value for value-based requirements engineering.
Int. J. Comput. Integr. Manuf., 2013

Partition-Based Hardware Transactional Memory for Many-Core Processors.
Proceedings of the Network and Parallel Computing - 10th IFIP International Conference, 2013

2011
A prescriptive approach to understand customer needs using value-focused thinking.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

2010
Understanding Customer Expectations for System Development.
Proceedings of the Fifth International Conference on Software Engineering Advances, 2010

2008
An efficient numerical method of Landau-Brazovskii model.
J. Comput. Phys., 2008


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