Mingxuan Sun

Orcid: 0000-0003-0119-601X

According to our database1, Mingxuan Sun authored at least 116 papers between 1998 and 2024.

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Bibliography

2024
Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity.
IEEE Internet Things J., October, 2024

Fuzzy Adaptive Learning Bipartite Consensus for Strict-Feedback Structurally Unbalanced Multiagent Systems With State Constraints.
IEEE Trans. Fuzzy Syst., April, 2024

Performance enhancing ZNN models for time-variant equality-constraint convex optimization solving: A transition-state based attracting system approach.
Expert Syst. Appl., March, 2024

Fixed-time convergent RNNs with logarithmic settling time for time-variant quadratic programming solving with application to repetitive motion planning.
Neural Comput. Appl., January, 2024

FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos.
IEEE Trans. Multim., 2024

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.
Neural Networks, 2024

A guaranteed fixed-step convergence approach to discrete sliding mode control of linear disturbed systems.
Inf. Sci., 2024

Cost-Effective Federated Learning: A Unified Approach to Device and Training Scheduling.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Adaptive Learning Control Algorithms for Infinite-Duration Tracking.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Integral Lyapunov Function-Based Adaptive Learning Control for Nonstrict-Feedback Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Attractiveness and Invariance Assessments of Dead-Beat Sliding-Mode Control With Power Rule.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing.
IEEE Trans. Multim., 2023

Answering knowledge-based visual questions via the exploration of Question Purpose.
Pattern Recognit., 2023

Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing.
Neural Comput. Appl., 2023

Fractional Barrier Lyapunov Functions with Application to Learning Control.
CoRR, 2023

Debiased Imitation Learning for Modulated Temporal Point Processes.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Sparse Transformer Hawkes Process for Long Event Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction.
Proceedings of the Advanced Information Networking and Applications, 2023

2022
On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving.
IEEE Trans. Neural Networks Learn. Syst., 2022

Steady-State Error Band Improvement Using Dead-Beat Terminal Sliding Mode Control.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A Machine Learning Approach for Detecting Rescue Requests from Social Media.
ISPRS Int. J. Geo Inf., 2022

Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems.
Complex., 2022

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting.
Proceedings of the Database and Expert Systems Applications, 2022

2021
Bilateral Privacy-Utility Tradeoff in Spectrum Sharing Systems: A Game-Theoretic Approach.
IEEE Trans. Wirel. Commun., 2021

On Finite-Duration Convergent Attracting Laws.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Repetitive Learning Control for Control-Affine Systems With Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Adaptive Repetitive Learning Control of PMSM Servo Systems with Bounded Nonparametric Uncertainties: Theory and Experiments.
IEEE Trans. Ind. Electron., 2021

Weakly Supervised Group Mask Network for Object Detection.
Int. J. Comput. Vis., 2021

Dead-beat terminal sliding-mode control: A guaranteed attractiveness approach.
Autom., 2021

Adaptive Iterative Learning Control for Tracking Trajectories With Non-Equal Trail Lengths and Initial Errors.
IEEE Access, 2021

Multivariate Hawkes Processes for Incomplete Biased Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Two-Phase Attractors for Finite-Duration Consensus of Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Echo State Network-Based Backstepping Adaptive Iterative Learning Control for Strict-Feedback Systems: An Error-Tracking Approach.
IEEE Trans. Cybern., 2020

Local low-rank Hawkes processes for modeling temporal user-item interactions.
Knowl. Inf. Syst., 2020

有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks).
计算机科学, 2020

Time-Varying and Nonlinearly Scaled Consensus of Multiagent Systems: A Generic Attracting Law Approach.
CoRR, 2020

Hooktracer: Automatic Detection and Analysis of Keystroke Loggers Using Memory Forensics.
Comput. Secur., 2020

List-wise Fairness Criterion for Point Processes.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Human Action Image Generation with Differential Privacy.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

A Game-Theoretic Approach to Achieving Bilateral Privacy-Utility Tradeoff in Spectrum Sharing.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Incentive Mechanisms and Impacts of Negotiation Power and Information Availability in Multi-Relay Cooperative Wireless Networks.
IEEE Trans. Wirel. Commun., 2019

Constrained VCG Auction With Multi-Level Channel Valuations for Spatial Spectrum Reuse in Non-Symmetric Networks.
IEEE Trans. Commun., 2019

On-Demand Receiver-Centric Channel Allocation via Constrained VCG Auction for Spatial Spectrum Reuse.
IEEE Syst. J., 2019

Fairness-Aware Energy-Efficient Resource Allocation in D2D Communication Networks.
IEEE Syst. J., 2019

HookTracer: A System for Automated and Accessible API Hooks Analysis.
Digit. Investig., 2019

Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

A Model-Agnostic Approach for Explaining the Predictions on Clustered Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse.
Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference, 2019

Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Neural AILC for Error Tracking Against Arbitrary Initial Shifts.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification.
IEEE Trans. Image Process., 2018

Digital Control Strategies With Attractiveness and Invariance Specifications.
IEEE Trans. Control. Syst. Technol., 2018

Secure Transmission With Guaranteed User Satisfaction in Heterogeneous Networks: A Two-Level Stackelberg Game Approach.
IEEE Trans. Commun., 2018

Adaptive Nonsingular Fixed-Time Attitude Stabilization of Uncertain Spacecraft.
IEEE Trans. Aerosp. Electron. Syst., 2018

基于终态神经网络的冗余机械臂重复运动规划 (Repeatable Motion Planning of Redundant Manipulators Based on Terminal Neural Networks).
计算机科学, 2018

Sylvester时变矩阵方程求解的终态神经网络算法 (Terminal Neural Network Algorithm for Solution of Time-varying Sylvester Matrix Equations).
计算机科学, 2018

Adaptive Finite-Time Command Filtered Fault-Tolerant Control for Uncertain Spacecraft with Prescribed Performance.
Complex., 2018

A Multi-Modality Deep Network for Cold-Start Recommendation.
Big Data Cogn. Comput., 2018

Adaptive Backstepping Control Design for Uncertain Rigid Spacecraft With Both Input and Output Constraints.
IEEE Access, 2018

Low-Complexity Mode Selection and Resource Allocation for Energy-Efficient D2D Communications.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems.
Proceedings of the IEEE International Conference on Data Mining, 2018

Local Low-Rank Hawkes Processes for Temporal User-Item Interactions.
Proceedings of the IEEE International Conference on Data Mining, 2018

Multi-Channel Jamming Attacks against Cooperative Defense: A Two-Level Stackelberg Game Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Incentive Mechanisms and Influence of Negotiation Power in Multi-Relay Cooperative Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Machine Learning and Cognitive Technology for Intelligent Wireless Networks.
CoRR, 2017

Dilated Residual Network for Image Denoising.
CoRR, 2017

Tracking You through DNS Traffic: Linking User Sessions by Clustering with Dirichlet Mixture Model.
Proceedings of the 20th ACM International Conference on Modelling, 2017

Inferring Private Demographics of New Users in Recommender Systems.
Proceedings of the 20th ACM International Conference on Modelling, 2017

Dilated Deep Residual Network for Image Denoising.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Neural Network Based Finite-Time Adaptive Backstepping Control of Flexible Joint Manipulators.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Constrained VCG Auction for Spatial Spectrum Reuse with Flexible Channel Evaluations.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Secure Transmission in Heterogeneous Networks: A Two-Level Stackelberg Game Approach.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Personalization of Learning Paths in Online Communities of Creators.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2014
A hazard based approach to user return time prediction.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Learning multiple-question decision trees for cold-start recommendation.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

On Incremental Adaptive Strategies.
Proceedings of the Intelligent Computing Theories and Technology, 2013

2012
Visualizing and modeling partial incomplete ranking data.
PhD thesis, 2012

Adaptive Asymptotic Rejection of Unmatched General Periodic Disturbances in Output-Feedback Nonlinear Systems.
IEEE Trans. Autom. Control., 2012

PREA: personalized recommendation algorithms toolkit.
J. Mach. Learn. Res., 2012

A Comparative Study of Collaborative Filtering Algorithms
CoRR, 2012

Partial-period adaptive repetitive control by symmetry.
Autom., 2012

Automatic Feature Induction for Stagewise Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Discrete-time repetitive control with ideal error dynamics.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Adaptive iterative learning control for SISO discrete time-varying systems.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2011
Estimating Probabilities in Recommendation Systems.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Switching-function dynamics designs for uncertain variable structure systems with repetitive control.
Int. J. Control, 2011

2010
Varying-order iterative learning control against perturbed initial conditions.
J. Frankl. Inst., 2010

Repetitive learning control of nonlinear systems over finite intervals.
Sci. China Inf. Sci., 2010

Visualizing differences in web search algorithms using the expected weighted hoeffding distance.
Proceedings of the 19th International Conference on World Wide Web, 2010

2009
Active Lighting for Video Conferencing.
IEEE Trans. Circuits Syst. Video Technol., 2009

A Barbalat-Like Lemma with Its Application to Learning Control.
IEEE Trans. Autom. Control., 2009

Color matching and illumination estimation for urban scenes.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
On Initial Rectifying Learning for Linear Time-Invariant Systems with Rank-Defective Markov Parameters.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

2007
Space-Time Light Field Rendering.
IEEE Trans. Vis. Comput. Graph., 2007

Restoring 2D Content from Distorted Documents.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

4D view synthesis: navigating through time and space.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2007

2006
A Structural View of Stability in Adaptive IIR Filters.
IEEE Trans. Signal Process., 2006

Adaptive repetitive learning control of robotic manipulators without the requirement for initial repositioning.
IEEE Trans. Robotics, 2006

Adaptive Repetitive Control for a Class of Nonlinearly Parametrized Systems.
IEEE Trans. Autom. Control., 2006

3-D Graphical Hypermedia Meets Interactive E-Books: A New Paradigm for Experiential Learning.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2006

Robust and Accurate Visual Echo Cancelation in a Full-Duplex Projector-Camera System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Variable-structure repetitive control: a discrete-time strategy.
IEEE Trans. Ind. Electron., 2005

Geometric and Photometric Restoration of Distorted Documents.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Reducing the effect of initial condition offsets using selective previous cycle data.
Proceedings of the 8th International Conference on Control, 2004

Platoon-stable adaptive controller design.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Adaptive rejection of periodic & non-periodic disturbances for a class of nonlinearly parametrized systems.
Proceedings of the 2004 American Control Conference, 2004

2003
Initial shift issues on discrete-time iterative learning control with system relative degree.
IEEE Trans. Autom. Control., 2003

2002
Iterative learning control with initial rectifying action.
Autom., 2002

2001
Anticipatory iterative learning control for nonlinear systems with arbitrary relative degree.
IEEE Trans. Autom. Control., 2001

Initial condition issues on iterative learning control for non-linear systems with time delay.
Int. J. Syst. Sci., 2001

Sampled-data iterative learning control for nonlinear systems with arbitrary relative degree.
Autom., 2001

Robust discrete-time iterative learning control: initial shift problem.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Sampled-data iterative learning control for SISO nonlinear systems with arbitrary relative degree.
Proceedings of the American Control Conference, 2000

Initial shift problem and its ILC solution for nonlinear systems with higher relative degree.
Proceedings of the American Control Conference, 2000

1999
An iterative learning controller with initial state learning.
IEEE Trans. Autom. Control., 1999

1998
High-order iterative learning identification of projectile's aerodynamic drag coefficient curve from radar measured velocity data.
IEEE Trans. Control. Syst. Technol., 1998


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