Ran Ding — accepted AI-conference papers

2025

Leveraging SD Map to Augment HD Map-based Trajectory Prediction

Zhiwei Dong, Ran Ding, Wei Li, Peng Zhang, Guobin Tang, Jia Guo

CVPR 2025poster

Latest trajectory prediction models in real-world autonomous driving systems often rely on online High-Definition (HD) maps to understand the road environment.However, online HD maps suffer from perception errors and feature redundancy, which hinder the performance of HD map-based trajectory predict…

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2024

Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection

Zhenwei Zhang, Ruiqi Wang, Ran Ding, Yuantao Gu

ICASSP 2024accepted

Traditional Time-series Anomaly Detection (TAD) methods often struggle with the composite nature of complex time-series data and a diverse array of anomalies. We introduce TADNet, an end-to-end TAD model that leverages Seasonal-Trend Decomposition to link various types of anomalies to specific decom…

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