Zobrazeno 1 - 10
of 767
pro vyhledávání: '"Zhou Zihao"'
Autor:
Kim, Kai, Tsai, Howard, Sen, Rajat, Das, Abhimanyu, Zhou, Zihao, Tanpure, Abhishek, Luo, Mathew, Yu, Rose
Current forecasting approaches are largely unimodal and ignore the rich textual data that often accompany the time series due to lack of well-curated multimodal benchmark dataset. In this work, we develop TimeText Corpus (TTC), a carefully curated, t
Externí odkaz:
http://arxiv.org/abs/2411.06735
Temporal graph clustering is a complex task that involves discovering meaningful structures in dynamic graphs where relationships and entities change over time. Existing methods typically require centralized data collection, which poses significant p
Externí odkaz:
http://arxiv.org/abs/2410.12343
Autor:
Zhou, Zihao, Yu, Rose
Large Language Models (LLMs) have gained popularity in time series forecasting, but their potential for anomaly detection remains largely unexplored. Our study investigates whether LLMs can understand and detect anomalies in time series data, focusin
Externí odkaz:
http://arxiv.org/abs/2410.05440
Autor:
Duan, Minxuan, Qian, Yinlong, Zhao, Lingyi, Zhou, Zihao, Rasheed, Zeeshan, Yu, Rose, Shafique, Khurram
Existing methods for anomaly detection often fall short due to their inability to handle the complexity, heterogeneity, and high dimensionality inherent in real-world mobility data. In this paper, we propose DeepBayesic, a novel framework that integr
Externí odkaz:
http://arxiv.org/abs/2410.01011
Autor:
Bai, Jieyun, Zhou, Zihao, Ou, Zhanhong, Koehler, Gregor, Stock, Raphael, Maier-Hein, Klaus, Elbatel, Marawan, Martí, Robert, Li, Xiaomeng, Qiu, Yaoyang, Gou, Panjie, Chen, Gongping, Zhao, Lei, Zhang, Jianxun, Dai, Yu, Wang, Fangyijie, Silvestre, Guénolé, Curran, Kathleen, Sun, Hongkun, Xu, Jing, Cai, Pengzhou, Jiang, Lu, Lan, Libin, Ni, Dong, Zhong, Mei, Chen, Gaowen, Campello, Víctor M., Lu, Yaosheng, Lekadir, Karim
Segmentation of the fetal and maternal structures, particularly intrapartum ultrasound imaging as advocated by the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) for monitoring labor progression, is a crucial first step for
Externí odkaz:
http://arxiv.org/abs/2409.10980
Autor:
Stanford, Chris, Adari, Suman, Liao, Xishun, He, Yueshuai, Jiang, Qinhua, Kuai, Chenchen, Ma, Jiaqi, Tung, Emmanuel, Qian, Yinlong, Zhao, Lingyi, Zhou, Zihao, Rasheed, Zeeshan, Shafique, Khurram
Collecting real-world mobility data is challenging. It is often fraught with privacy concerns, logistical difficulties, and inherent biases. Moreover, accurately annotating anomalies in large-scale data is nearly impossible, as it demands meticulous
Externí odkaz:
http://arxiv.org/abs/2409.03024
Autor:
Zeng, Qingcheng, Jin, Mingyu, Yu, Qinkai, Wang, Zhenting, Hua, Wenyue, Zhou, Zihao, Sun, Guangyan, Meng, Yanda, Ma, Shiqing, Wang, Qifan, Juefei-Xu, Felix, Ding, Kaize, Yang, Fan, Tang, Ruixiang, Zhang, Yongfeng
Large Language Models (LLMs) are employed across various high-stakes domains, where the reliability of their outputs is crucial. One commonly used method to assess the reliability of LLMs' responses is uncertainty estimation, which gauges the likelih
Externí odkaz:
http://arxiv.org/abs/2407.11282
Autor:
Zhou, Zihao, Liu, Shudong, Ning, Maizhen, Liu, Wei, Wang, Jindong, Wong, Derek F., Huang, Xiaowei, Wang, Qiufeng, Huang, Kaizhu
Exceptional mathematical reasoning ability is one of the key features that demonstrate the power of large language models (LLMs). How to comprehensively define and evaluate the mathematical abilities of LLMs, and even reflect the user experience in r
Externí odkaz:
http://arxiv.org/abs/2407.08733
The wide usage of Lithium-ion batteries (LIBs) requires a deep understanding about battery health. Estimation of battery state-of-health (SOH) is a crucial but yet still challenging task. Pure model-based methods may suffer from inaccuracy and instab
Externí odkaz:
http://arxiv.org/abs/2407.06639
Autor:
Tao, Shengyu, Zhang, Mengtian, Zhao, Zixi, Li, Haoyang, Ma, Ruifei, Che, Yunhong, Sun, Xin, Su, Lin, Chen, Xiangyu, Zhou, Zihao, Chang, Heng, Cao, Tingwei, Xiao, Xiao, Liu, Yaojun, Yu, Wenjun, Xu, Zhongling, Li, Yang, Hao, Han, Zhang, Xuan, Hu, Xiaosong, ZHou, Guangmin
Manufacturing complexities and uncertainties have impeded the transition from material prototypes to commercial batteries, making prototype verification critical to quality assessment. A fundamental challenge involves deciphering intertwined chemical
Externí odkaz:
http://arxiv.org/abs/2406.00276