Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Yang, Hao Frank"'
Autor:
Guo, Cong, Cheng, Feng, Du, Zhixu, Kiessling, James, Ku, Jonathan, Li, Shiyu, Li, Ziru, Ma, Mingyuan, Molom-Ochir, Tergel, Morris, Benjamin, Shan, Haoxuan, Sun, Jingwei, Wang, Yitu, Wei, Chiyue, Wu, Xueying, Wu, Yuhao, Yang, Hao Frank, Zhang, Jingyang, Zhang, Junyao, Zheng, Qilin, Zhou, Guanglei, Hai, Li, Chen, Yiran
The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality. These models
Externí odkaz:
http://arxiv.org/abs/2410.07265
Autor:
Zhang, Jianyi, Yang, Hao Frank, Li, Ang, Guo, Xin, Wang, Pu, Wang, Haiming, Chen, Yiran, Li, Hai
Previous studies on federated learning (FL) often encounter performance degradation due to data heterogeneity among different clients. In light of the recent advances in multimodal large language models (MLLMs), such as GPT-4v and LLaVA, which demons
Externí odkaz:
http://arxiv.org/abs/2409.06067
Autor:
Fan, Zhiwen, Wang, Pu, Zhao, Yang, Zhao, Yibo, Ivanovic, Boris, Wang, Zhangyang, Pavone, Marco, Yang, Hao Frank
The increasing rate of road accidents worldwide results not only in significant loss of life but also imposes billions financial burdens on societies. Current research in traffic crash frequency modeling and analysis has predominantly approached the
Externí odkaz:
http://arxiv.org/abs/2406.10789
Autor:
Du, Hongru, Zhao, Jianan, Zhao, Yang, Xu, Shaochong, Lin, Xihong, Chen, Yiran, Gardner, Lauren M., Yang, Hao Frank
Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to the complexity of contributing factors, some of which can be characterized through interlinked, multi-modality variables such as epidemiological time se
Externí odkaz:
http://arxiv.org/abs/2404.06962
Autor:
Zhang, Jingyang, Sun, Jingwei, Yeats, Eric, Ouyang, Yang, Kuo, Martin, Zhang, Jianyi, Yang, Hao Frank, Li, Hai
The problem of pre-training data detection for large language models (LLMs) has received growing attention due to its implications in critical issues like copyright violation and test data contamination. Despite improved performance, existing methods
Externí odkaz:
http://arxiv.org/abs/2404.02936
Autor:
Chen, Xianda, Chen, Kehua, Zhu, Meixin, Yang, Hao (Frank), Shen, Shaojie, Wang, Xuesong, Wang, Yinhai
Publikováno v:
In Transportation Research Part C December 2024 169
Akademický článek
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Autor:
Zheng, Wenqing, Yang, Hao (Frank), Cai, Jiarui, Wang, Peihao, Jiang, Xuan, Du, Simon Shaolei, Wang, Yinhai, Wang, Zhangyang
Publikováno v:
In Information Fusion November 2023 99
Publikováno v:
In Transportation Research Part C March 2023 148
Publikováno v:
In Transportation Research Part C December 2022 145