王思翰 学士,博士生 研究领域:机器人学习[1] Wang Sihan, Han Zhi, and Liu Xiyao#. DUAL-GDFQ: A Dual-Generator, Dual-Phase Learning Approach for Data-Free Quantization. IEEE Signal Processing Letters. 2026.
[2] Cheng Jiaxin*, Wang Sihan*, Zhang Zhiqiang, Gu Ruoxi, Wu Xuan, Wang Yasong, Sun Yu, Wang Nan, Wang Xiaozeng#, and Yu Haibo#. A multimodal deep learning model for predicting impending rupture in symptomatic abdominal aortic aneurysms using CTA and clinical data. Frontiers in Cardiovascular Medicine. 2026.
[3] Wang Sihan, Liu Xiyao#, and Han Zhi. ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs. Proceedings of the AAAI Conference on Artificial Intelligence. 2026.
[4] Cheng, Jiaxin, Zhang, Zhiqiang, Wang, Yasong, Sun, Yu, Wang, Nan, Wang, Xiaozeng#, and Wang, Sihan#. Predicting the growth of asymptomatic small abdominal aortic aneurysms (AAA) based on deep learning. Frontiers in Physiology. 2026.
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