| 2025 | DASFAA | Self-supervised Dual Graph and Intention Association for Session-Based Recommendation. | Junnan Zhuo, Bohan Li, Sujie Yu, Shuai Xu, Xinzhe Zhao, Zekun Xu, Guan Yuan |
| 2025 | PAKDD | 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 |
| 2024 | APWEB | BPGNN-SBR: Behavior Progressive Graph Neural Networks for Session-Based Recommendation. | Zekun Xu, Wenlong Wu, Zhanzuo Yin, Xinzhe Zhao, Junnan Zhuo, Bohan Li |
| 2024 | PAKDD | Graph-based Dynamic Preference Modeling for Personalized Recommendation. | Jiaqi Wu, Yidan Xu, Bowen Zhang, Zekun Xu, Bohan Li |
| 2022 | AISTATS | Reconstructing Test Labels from Noisy Loss Functions. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |
| 2021 | FlAIRS | Research Challenges in Designing Differentially Private Text Generation Mechanisms. | Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier |
| 2021 | FlAIRS | Density-Aware Differentially Private Textual Perturbations Using Truncated Gumbel Noise. | Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier |
| 2021 | FlAIRS | A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data. | Zekun Xu, Ye Liu |
| 2021 | ICML | Label Inference Attacks from Log-loss Scores. | Abhinav Aggarwal, Shiva Prasad Kasiviswanathan, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier |