Xin Du
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
IEEE Robotics Autom. Lett., August, 2024
Absence of Inertial Load on Hand Decreases Task Performance in Virtual Reality Interaction.
Int. J. Hum. Comput. Interact., June, 2024
Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis.
Sensors, April, 2024
Scalable Comput. Pract. Exp., February, 2024
Hardware-Optimized Architecture of On-Board Registration for Remote-Sensing Images - Take SURF as an Example.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE Signal Process. Lett., 2024
SCGRFuse: An infrared and visible image fusion network based on spatial/channel attention mechanism and gradient aggregation residual dense blocks.
Eng. Appl. Artif. Intell., 2024
MDJ: A multi-scale difference joint keyframe extraction algorithm for infrared surveillance video action recognition.
Digit. Signal Process., 2024
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training.
CoRR, 2024
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Physical-Layer Adversarial Robustness for Deep Learning-Based Semantic Communications.
IEEE J. Sel. Areas Commun., August, 2023
A Siamese Network with a Multiscale Window-Based Transformer via an Adaptive Fusion Strategy for High-Resolution Remote Sensing Image Change Detection.
Remote. Sens., May, 2023
Attack Intention Oriented Dynamic Risk Propagation of Cyberattacks on Cyber-Physical Power Systems.
IEEE Trans. Ind. Informatics, March, 2023
IEEE Wirel. Commun. Lett., 2023
CoRR, 2023
Design of Parameters of Fast Fourier Transform for Three-Dimensional Split Step Parabolic Equations and Mirror Kirchhoff Approximation.
IEEE Access, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Multi-Agent Meta-Reinforcement Learning with Coordination and Reward Shaping for Traffic Signal Control.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the ACM Multimedia Asia 2023, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Co-Training Realized Volatility Prediction Model with Neural Distributional Transformation.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
2022
Adaptive Resilient Control of Cyber-Physical Systems Under Actuator and Sensor Attacks.
IEEE Trans. Ind. Informatics, 2022
TransUNetCD: A Hybrid Transformer Network for Change Detection in Optical Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022
External Wrench Estimation for UAVs Based on Variational Bayesian Unscented Kalman Filter.
IEEE Robotics Autom. Lett., 2022
The role of low-frequency oscillations in three-dimensional perception with depth cues in virtual reality.
NeuroImage, 2022
Stock portfolio selection balancing variance and tail risk via stock vector representation acquired from price data and texts.
Knowl. Based Syst., 2022
Inf. Sci., 2022
KEADA: Identifying Key Classes in Software Systems Using Dynamic Analysis and Entropy-Based Metrics.
Entropy, 2022
Scientific Workflows in Heterogeneous Edge-Cloud Computing: A Data Placement Strategy Based on Reinforcement learning.
CoRR, 2022
NLOS Error Mitigation Using Weighted Least Squares and Kalman Filter in UWB Positioning.
CoRR, 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities.
CoRR, 2022
CoreBug: Improving Effort-Aware Bug Prediction in Software Systems Using Generalized k-Core Decomposition in Class Dependency Networks.
Axioms, 2022
Axioms, 2022
SVM-Based Optimizing Control of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor.
IEEE Access, 2022
Low Computational Cost Mirror Kirchhoff Approximation for Predicting Shadowing Effect.
IEEE Access, 2022
IEEE Access, 2022
VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Research on Cooperative Multi-constraint Guidance Law for Leader-Follower Multi-aircraft.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022
Automatic Report Generation Method based on Multiscale Feature Extraction and Word Attention Network.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
LARW: Network Representation Learning Algorithm Based On Long Anonymous Random Walks.
Proceedings of the 4th International Conference on Advanced Information Science and System, 2022
2021
On-Board Real-Time Ship Detection in HISEA-1 SAR Images Based on CFAR and Lightweight Deep Learning.
Remote. Sens., 2021
IEEE Intell. Syst., 2021
Adversarial balancing-based representation learning for causal effect inference with observational data.
Data Min. Knowl. Discov., 2021
CoRR, 2021
Computational simulations to dissect the cell immune response dynamics for severe and critical cases of SARS-CoV-2 infection.
Comput. Methods Programs Biomed., 2021
IEEE Access, 2021
COSPA: Identifying Key Classes in Object-Oriented Software Using Preference Aggregation.
IEEE Access, 2021
Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
A Semi-supervised Framework with Efficient Feature Extraction and Network Alignment for User Identity Linkage.
Proceedings of the Database Systems for Advanced Applications, 2021
RobotAR: An Augmented Reality Compatible Teleconsulting Robotics Toolkit for Augmented Makerspace Experiences.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the AISS 2021: 3rd International Conference on Advanced Information Science and System, Sanya, China, November 26, 2021
Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021
2020
An Electrochemical Sensor Based on Chalcogenide Molybdenum Disulfide-Gold-Silver Nanocomposite for Detection of Hydrogen Peroxide Released by Cancer Cells.
Sensors, 2020
Neural Comput. Appl., 2020
Key Node Ranking in Complex Networks: A Novel Entropy and Mutual Information-Based Approach.
Entropy, 2020
Data Min. Knowl. Discov., 2020
Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling.
Data Min. Knowl. Discov., 2020
Basketball Player's Value Evaluation by a Networks-based Variant Parameter Hidden Markov Model.
CoRR, 2020
Adv. Comput. Math., 2020
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning.
Proceedings of the AMIA 2020, 2020
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization.
Sensors, 2019
Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Transfer learning across human activities using a cascade neural network architecture.
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019
Proceedings of the 2019 IEEE International Conference on Services Computing, 2019
2018
CoRR, 2018
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
A Convolutional Neural Network Based Auto-Positioning Method For Dental Arch In Rotational Panoramic Radiography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 11th International Conference on Educational Data Mining, 2018
2017
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the Working notes of FIRE 2017, 2017
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.
Proceedings of the Summit on Clinical Research Informatics, 2017
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation.
Proceedings of the AMIA 2017, 2017
2016
Semi-supervised structured output prediction by local linear regression and sub-gradient descent.
CoRR, 2016
Finite-Frequency Model Order Reduction of Linear Systems via Parameterized Frequency-dependent Balanced Truncation.
CoRR, 2016
CoRR, 2016
The Mechanical Analysis of the Biofilm Streamer Nucleation and Geometry Characterization in Microfluidic Channels.
Comput. Math. Methods Medicine, 2016
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study.
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.
Proceedings of the AMIA 2016, 2016
2015
Support image set machine: Jointly learning representation and classifier for image set classification.
Knowl. Based Syst., 2015
A multi-cell battery pack monitoring chip based on 0.35-µm BCD technology for electric vehicles.
IEICE Electron. Express, 2015
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
Proceedings of the 10th IEEE International Conference on Networking, 2015
2014
Electronic recording and reporting system for tuberculosis in China: experience and opportunities.
J. Am. Medical Informatics Assoc., 2014
2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
2012
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012
Proceedings of the Ninth Web Information Systems and Applications Conference, 2012
2011
J. Zhejiang Univ. Sci. C, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Sci. China Inf. Sci., 2010
2009
New characterisations of positive realness and static output feedback control of discrete-time systems.
Int. J. Control, 2009
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009
H∞ model reduction of linear continuous-time systems over finite frequency interval-LMI based approach.
Proceedings of the American Control Conference, 2009
LMI characterizations of positive realness and static output feedback positive real control of discrete-time systems.
Proceedings of the American Control Conference, 2009
Switched system based approach to analysis and synthesis of discrete-time linear systems with time-varying state delay.
Proceedings of the American Control Conference, 2009
2008
Asynchronous Distributed Parallel Gene Expression Programming Based on Estimation of Distribution Algorithm.
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Research of Applying Information Entropy and Clustering Technique on Network Traffic Analysis.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008
LMI conditions for H<sup>infinity</sup> static output feedback control of discrete-time systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Reliable static output control for a class of uncertain systems via high-order sampled-data hold controller.
Proceedings of the American Control Conference, 2008
2007
Monocular Vision Based Obstacle Detection for Robot Navigation in Unstructured Environment.
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Computation and Intelligence, 2007
An Adaptive Approach to State Feedback Tracking Control of Systems with Actuator Failures.
Proceedings of the American Control Conference, 2007
Switching Control in Adaptive State Feedback Tracking of Systems with Actuator Failures.
Proceedings of the IEEE International Conference on Control Applications, 2007
2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
2005
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005
2004
Global Path Planning Based on Neural Network and Genetic Algorithm in A Static Environment.
Proceedings of the Artificial Neural Networks: Data preparation techniques and application development, 2004