Mingxuan Sun

Orcid: 0000-0003-0119-601X

Affiliations:
  • Louisiana State University, Division of Computer Science and Engineering, Baton Rouge, LA, USA
  • Georgia Institute of Technology, Atlanta, GA, USA (former, PhD 2012)


According to our database1, Mingxuan Sun authored at least 65 papers between 2005 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach.
IEEE Commun. Mag., April, 2026

2025
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment.
CoRR, December, 2025

Learning to Rank with Top-<i>K</i> Fairness.
CoRR, September, 2025

Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models.
CoRR, August, 2025

Joint Device and Training Scheduling for Wireless Federated Learning.
IEEE Internet Things J., June, 2025

Learning to Rank with Top-$K$ Fairness.
Trans. Mach. Learn. Res., 2025

Enhancing Time Series Forecasting via Multi-level Text Alignment with LLMs.
Proceedings of the Database Systems for Advanced Applications, 2025

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Comparative Study of Collaborative Filtering Algorithms
CoRR, 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

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

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

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

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


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