Qizhao Jin — accepted AI-conference papers

2026

HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis

Shuo Tang, Jiadong Zhang, Jian Xu, Gengxian Zhou, Qizhao Jin, Qinxuan Wang +8

ICML 2026poster

While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge. This gap exists primarily because the diagnostic process demands sophisticated multi-step logical reasoning, dynamic tool invocation, and expe…

Cited by 0 Source ↗Scholar ↗

2026

MeteorPred: A Meteorological Multimodal Large Model and Dataset for Severe Weather Event Prediction

Shuo Tang, Jian Xu, Jiadong Zhang, Yi Chen, Qizhao Jin, Lingdong Shen +2

CVPR 2026

Timely and accurate forecasts of severe weather events are essential for early warning and for constraining downstream analysis and decision-making. Since severe weather events prediction still depends on subjective, time-consuming expert interpretation, end-to-end "AI weather station" systems are e

Cited by 0 Source ↗code ↗Scholar ↗