Zhenbing Zhao — accepted AI-conference papers

2026

PhysTrans: A Physics-Aware Transferable Framework for Global Cold-Start Photovoltaic Forecasting

Meng Wan, Kaipeng Gao, Jue Wang, Siyan Fang, Xue Miao, Pufen Zhang +4

IJCAI 2026

With the rapid expansion of photovoltaic (PV) power generation worldwide, PV systems have become key to global energy construction. Accurate PV forecasting is essential for safe grid operation and renewable energy integration. However, most existing models rely heavily on site-specific historical da

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2026

RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting

Meng Wan, Qi Su, Zhixin Xia, Kanglin Chen, Jue Wang, Tiantian Liu +6

AAAI 2026technical

Rip currents cause over 100 drowning deaths and more than 30,000 rescues annually in the United States, posing a severe threat to beach safety worldwide. However, most existing detection methods are reactive, identifying rip currents only after they form, leaving limited time for intervention. We pr

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