Zekun Xu

According to our database, Zekun Xu authored at least 26 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM-Enhanced Reranking for Complementary Product Recommendation.

Zekun Xu, Yudi Zhang

CoRR, July, 2025

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

Wenbo Wu, Yun Pan, Na Su, Jingtao Wang, ShaoChuan Wu, Zekun Xu, Youjian Yu, Yapeng Liu

Multim. Tools Appl., March, 2025

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

Zekun Xu, Jiaxu Shen, Huayong Wu, Jun Chen

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.

Zekun Xu, Yipeng Zhou, Shiting Wen, Weipeng Jing

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

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

Zekun Xu, Zhaoming Zhang, Guojin He, Shuaizhang Zhang, Tengfei Long, Guizhou Wang

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

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

Zekun Xu, Xiaoxue Li, Zhanzuo Yin, Xinyue Liu, Junnan Zhuo, Shuai Xu, Xiao Zhang, Bohan Li

Proceedings of the Data Science: Foundations and Applications, 2025

2024

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

Linhan Li, Qianying Zhang, Zekun Xu, Shijun Zhao, Zhiping Shi, Yong Guan

IEICE Trans. Inf. Syst., 2024

Graph-based Dynamic Preference Modeling for Personalized Recommendation.

Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu, Bohan Li

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.

Zekun Xu, Yipeng Zhou, Quan Z. Sheng, Chao Li, Tongtong Lou, Weipeng Jing

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

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

Zekun Xu, Wenlong Wu, Zhanzuo Yin, Xinzhe Zhao, Junnan Zhuo, Bohan Li

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.

Weipeng Jing, Tongtong Lou, Zeyu Wang, Weitao Zou, Zekun Xu, Linda Mohaisen, Chao Li, Jian Wang

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

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

Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma, Xiaoxiang Zhang

ISPRS Int. J. Geo Inf., 2023

2022

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

Yuehong Chen, Guohao Wu, Yong Ge, Zekun Xu

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

Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval.

Weipeng Jing, Zekun Xu, Linhui Li, Jian Wang, Yue He, Guangsheng Chen

J. Database Manag., 2022

Reconstructing Test Labels from Noisy Loss Functions.

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.

Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

On a Utilitarian Approach to Privacy Preserving Text Generation.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2021

Label Inference Attacks from Log-loss Scores.

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.

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.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

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

Research Challenges in Designing Differentially Private Text Generation Mechanisms.

Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

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.

Zekun Xu, Abhinav Aggarwal, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020

Differentially Private Adversarial Robustness Through Randomized Perturbations.

Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier

CoRR, 2020

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

Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier

CoRR, 2020

2019

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

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.

Tao Hu, Shurong Dong, Hao Jin, Hei Wong, Zekun Xu, Xiang Li, Juin J. Liou

Microelectron. Reliab., 2018