Zobrazeno 1 - 10
of 16 318
pro vyhledávání: '"Yuning An"'
Publikováno v:
Foods, Vol 13, Iss 17, p 2795 (2024)
Hyperlipidemia is a metabolic disorder characterized by abnormal lipid metabolism, resulting in lipid accumulation in the plasma. According to reports, medicinal and edible plants can reduce the risk of metabolic diseases such as hyperlipidemia. This
Externí odkaz:
https://doaj.org/article/33f19cc3242e47b3bf016f2b04dec4f6
Autor:
Xie, Yiqing, Zhou, Wenxuan, Prakash, Pradyot, Jin, Di, Mao, Yuning, Fettes, Quintin, Talebzadeh, Arya, Wang, Sinong, Fang, Han, Rose, Carolyn, Fried, Daniel, Zhang, Hejia
Factuality evaluation aims to detect factual errors produced by language models (LMs) and hence guide the development of more factual models. Towards this goal, we train a factuality evaluator, FenCE, that provides LM generators with claim-level fact
Externí odkaz:
http://arxiv.org/abs/2410.18359
Autor:
Jiang, Junkai, Han, Zeyu, Wang, Yuning, Cai, Mengchi, Meng, Qingwen, Xu, Qing, Wang, Jianqiang
Driving risk assessment is crucial for both autonomous vehicles and human-driven vehicles. The driving risk can be quantified as the product of the probability that an event (such as collision) will occur and the consequence of that event. However, t
Externí odkaz:
http://arxiv.org/abs/2410.14996
This work presents ARD2, a framework that enables real-time through-wall surveillance using two aerial drones and an augmented reality (AR) device. ARD2 consists of two main steps: target direction estimation and contour reconstruction. In the first
Externí odkaz:
http://arxiv.org/abs/2410.13139
A deep learning system typically suffers from a lack of reproducibility that is partially rooted in hardware or software implementation details. The irreproducibility leads to skepticism in deep learning technologies and it can hinder them from being
Externí odkaz:
http://arxiv.org/abs/2410.09872
Autor:
Shi, Jiatong, Tian, Jinchuan, Wu, Yihan, Jung, Jee-weon, Yip, Jia Qi, Masuyama, Yoshiki, Chen, William, Wu, Yuning, Tang, Yuxun, Baali, Massa, Alharhi, Dareen, Zhang, Dong, Deng, Ruifan, Srivastava, Tejes, Wu, Haibin, Liu, Alexander H., Raj, Bhiksha, Jin, Qin, Song, Ruihua, Watanabe, Shinji
Neural codecs have become crucial to recent speech and audio generation research. In addition to signal compression capabilities, discrete codecs have also been found to enhance downstream training efficiency and compatibility with autoregressive lan
Externí odkaz:
http://arxiv.org/abs/2409.15897
Autor:
Ye, Mao, Meyer, Gregory P., Zhang, Zaiwei, Park, Dennis, Mustikovela, Siva Karthik, Chai, Yuning, Wolff, Eric M
Ensuring robust performance on long-tail examples is an important problem for many real-world applications of machine learning, such as autonomous driving. This work focuses on the problem of identifying rare examples within a corpus of unlabeled dat
Externí odkaz:
http://arxiv.org/abs/2409.15486
Evaluating autonomous driving systems in complex and diverse traffic scenarios through controllable simulation is essential to ensure their safety and reliability. However, existing traffic simulation methods face challenges in their controllability.
Externí odkaz:
http://arxiv.org/abs/2409.15135
Autor:
Wang, Taowen, Liu, Yiyang, Liang, James Chenhao, zhao, junhan, Cui, Yiming, Mao, Yuning, Nie, Shaoliang, Liu, Jiahao, Feng, Fuli, Xu, Zenglin, Han, Cheng, Huang, Lifu, Wang, Qifan, Liu, Dongfang
Multimodal Large Language Models (MLLMs) demonstrate remarkable performance across a wide range of domains, with increasing emphasis on enhancing their zero-shot generalization capabilities for unseen tasks across various modalities. Instruction tuni
Externí odkaz:
http://arxiv.org/abs/2409.15657
Autor:
Zhu, Zehang, Wang, Yuning, Ke, Tianqi, Han, Zeyu, Xu, Shaobing, Xu, Qing, Dolan, John M., Wang, Jianqiang
Safety is one of the most crucial challenges of autonomous driving vehicles, and one solution to guarantee safety is to employ an additional control revision module after the planning backbone. Control Barrier Function (CBF) has been widely used beca
Externí odkaz:
http://arxiv.org/abs/2409.14688