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)

Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection. - Zekun Xu; Deovrat Kakde; Arin Chaudhuri (IEEE BigData, 2019)

On Primes, Log-Loss Scores and (No) Privacy. - Abhinav Aggarwal; Zekun Xu; 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)

A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. - Zekun Xu; Abhinav Aggarwal; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2020)

Research Challenges in Designing Differentially Private Text Generation Mechanisms. - Oluwaseyi Feyisetan; Abhinav Aggarwal; Zekun Xu; Nathanael Teissier (FLAIRS, 2021)

Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. - Nan Xu; Oluwaseyi Feyisetan; Abhinav Aggarwal; Zekun Xu; Nathanael Teissier (FLAIRS, 2021)

A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data. - Zekun Xu; Ye Liu (FLAIRS, 2021)

Label Inference Attacks from Log-loss Scores. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (ICML, 2021)

On a Utilitarian Approach to Privacy Preserving Text Generation. - Zekun Xu; Abhinav Aggarwal; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2021)

On Codomain Separability and Label Inference from (Noisy) Loss Functions. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (CoRR, 2021)

Reconstructing Test Labels from Noisy Loss Functions. - Abhinav Aggarwal; Shiva Prasad Kasiviswanathan; Zekun Xu; Oluwaseyi Feyisetan; Nathanael Teissier (AISTATS, 2022)

Deep Unsupervised Weighted Hashing for Remote Sensing Image Retrieval. - Weipeng Jing 001; Zekun Xu; Linhui Li; Jian Wang; Yue He; Guangsheng Chen (J. Database Manag., 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)

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)

A Rigorously-Incremental Spatiotemporal Data Fusion Method for Fusing Remote Sensing Images. - Weipeng Jing 001; Tongtong Lou; Zeyu Wang; Weitao Zou; Zekun Xu; Linda Mohaisen; Chao Li 066; Jian Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. - Zekun Xu; Wenlong Wu; Zhanzuo Yin; Xinzhe Zhao; Junnan Zhuo; Bohan Li 001 (APWeb/WAIM (5), 2024)

Adaptive Global-local Fusion Network Based Deep Unsupervised Hashing for Remote Sensing Image Retrieval. - Zekun Xu; Yipeng Zhou; Quan Z. Sheng; Chao Li 066; Tongtong Lou; Weipeng Jing 001 (ICME, 2024)

Graph-based Dynamic Preference Modeling for Personalized Recommendation. - Jiaqi Wu; Yidan Xu; Bowen Zhang; Zekun Xu; Bohan Li 001 (PAKDD (3), 2024)

rOOM: A Rust-Based Linux Out of Memory Kernel Component. - Linhan Li; Qianying Zhang; Zekun Xu; Shijun Zhao; Zhiping Shi 002; Yong Guan (IEICE Trans. Inf. Syst., 2024)

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 001 (PAKDD (7), 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)

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

LLM-Enhanced Reranking for Complementary Product Recommendation. - Zekun Xu; Yudi Zhang (CoRR, 2025)