Zekun Xu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., January, 2026

2025

Training Multi-Image Vision Agents via End2End Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, December, 2025

High resolution global forest burned area changes monitoring using landsat 7/8 images.

[BibT_eX]

[DOI]

Geo spatial Inf. Sci., November, 2025

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory.

[BibT_eX]

[DOI]

CoRR, November, 2025

MTIR-SQL: Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL.

[BibT_eX]

[DOI]

CoRR, October, 2025

AutoPrune: Each Complexity Deserves a Pruning Policy.

[BibT_eX]

[DOI]

CoRR, September, 2025

RLFactory: A Plug-and-Play Reinforcement Learning Post-Training Framework for LLM Multi-Turn Tool-Use.

[BibT_eX]

[DOI]

CoRR, September, 2025

LLM-Enhanced Reranking for Complementary Product Recommendation.

[BibT_eX]

[DOI]

Zekun Xu

Yudi Zhang

CoRR, July, 2025

Multi-scale network for single image deblurring based on ensemble learning module.

[BibT_eX]

[DOI]

Multim. Tools Appl., March, 2025

Mainshock-aftershock sequence simulation via latent space encoding of generative adversarial networks.

[BibT_eX]

[DOI]

Comput. Aided Civ. Infrastructure Eng., February, 2025

FIDC-YOLO: Improved YOLO for Detecting Pine Wilt Disease in UAV Remote Sensing Images via Feature Interaction and Dependency Capturing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Adaptive Early Wildfire Monitoring Based on Spatiotemporal Prediction and Himawari 8/9.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Time Interval Aware Graph Neural Networks for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Data Science: Foundations and Applications, 2025

Each Complexity Deserves a Pruning Policy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-supervised Dual Graph and Intention Association for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2025

2024

rOOM: A Rust-Based Linux Out of Memory Kernel Component.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2024

Graph-based Dynamic Preference Modeling for Personalized Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Adaptive Global-local Fusion Network Based Deep Unsupervised Hashing for Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Generating Gridded Gross Domestic Product Data for China Using Geographically Weighted Ensemble Learning.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2023

2022

Mapping Gridded Gross Domestic Product Distribution of China Using Deep Learning With Multiple Geospatial Big Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval.

[BibT_eX]

[DOI]

J. Database Manag., 2022

Reconstructing Test Labels from Noisy Loss Functions.

[BibT_eX]

[DOI]

Abhinav Aggarwal

Shiva Prasad Kasiviswanathan

Zekun Xu

Oluwaseyi Feyisetan

Nathanael Teissier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

On Codomain Separability and Label Inference from (Noisy) Loss Functions.

[BibT_eX]

[DOI]

Abhinav Aggarwal

Shiva Prasad Kasiviswanathan

Zekun Xu

Oluwaseyi Feyisetan

Nathanael Teissier

CoRR, 2021

On a Utilitarian Approach to Privacy Preserving Text Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Label Inference Attacks from Log-loss Scores.

[BibT_eX]

[DOI]

Abhinav Aggarwal

Shiva Prasad Kasiviswanathan

Zekun Xu

Oluwaseyi Feyisetan

Nathanael Teissier

Proceedings of the 38th International Conference on Machine Learning, 2021

A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data.

[BibT_eX]

[DOI]

Zekun Xu

Ye Liu

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Research Challenges in Designing Differentially Private Text Generation Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially Private Adversarial Robustness Through Randomized Perturbations.

[BibT_eX]

[DOI]

CoRR, 2020

On Primes, Log-Loss Scores and (No) Privacy.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection.

[BibT_eX]

[DOI]

Zekun Xu

Deovrat Kakde

Arin Chaudhuri

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A double snapback SCR ESD protection scheme for 28 nm CMOS process.

[BibT_eX]

[DOI]

Microelectron. Reliab., 2018

Zekun Xu

Bibliography

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