Zhihao Zeng — accepted AI-conference papers

2026

A Unified Federated Framework for Trajectory Data Preparation via LLMs

Zhihao Zeng, Ziquan Fang, Wei Shao, Lu Chen, Yunjun Gao

ICLR 2026poster

Trajectory data records the spatio-temporal movements of people and vehicles. However, raw trajectories are often noisy, incomplete, or inconsistent due to sensor errors and transmission failures. To ensure reliable downstream analytics, Trajectory Data Preparation (TDP) has emerged as a critical pr…

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2025

Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

Yuting Huang, Ziquan Fang, Zhihao Zeng, Lu Chen, Yunjun Gao

NeurIPS 2025poster

Spatio-temporal prediction plays a crucial role in intelligent transportation, weather forecasting, and urban planning. While integrating multi-modal data has shown potential for enhancing prediction accuracy, key challenges persist: (i) inadequate fusion of multi-modal information, (ii) confounding…

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