Zhou, Zeyu

10 publications

IJCAI 2025 TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

NeurIPS 2025 TrajMamba: An Efficient and Semantic-Rich Vehicle Trajectory Pre-Training Model Yichen Liu, Yan Lin, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

NeurIPS 2025 TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

NeurIPS 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye

ICLRW 2024 Improving Practical Counterfactual Fairness with Limited Causal Knowledge Zeyu Zhou, Ruqi Bai, David I. Inouye

ICLR 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye

AAAI 2023 Contrastive Pre-Training with Adversarial Perturbations for Check-in Sequence Representation Learning Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan

ICLR 2023 Efficient Federated Domain Translation Zeyu Zhou, Sheikh Shams Azam, Christopher Brinton, David I. Inouye

NeurIPSW 2023 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye

AISTATS 2022 Iterative Alignment Flows Zeyu Zhou, Ziyu Gong, Pradeep Ravikumar, David I. Inouye