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Resume (English only)
Academic Achievements
Paper 'MAC-VO: Metric-Aware Covariance for Learning-based Stereo Visual Odometry' received ICRA 2025 Best Conference Paper Award and Best Paper Award on Robot Perception.
Developed MAC-VO, outperforming state-of-the-art methods like DPVO by ~30% in RTE and ROE on multiple public datasets.
Contributed to PyPose v0.6, a library for robot learning with physics-based optimization and efficient autodiff on Lie groups/algebras.
Built 'LLM-Sentinel' achieving 98% accuracy in detecting LLM-generated text, surpassing OpenAI and ZeroGPT detectors.
Released OpenLLMText dataset containing 30k human-written texts.