Zobrazeno 1 - 10
of 642
pro vyhledávání: '"Zong, Bo"'
Publikováno v:
Applied Physics Letters,123,2023
Directional transport-dominated particle separation presents major challenges in many technological applications. The Feynman ratchet can convert the random perturbation into directional transport of particles, offering innovative separation schemes.
Externí odkaz:
http://arxiv.org/abs/2311.02553
Autor:
Zhu, Wei, Song, Dongjin, Chen, Yuncong, Cheng, Wei, Zong, Bo, Mizoguchi, Takehiko, Lumezanu, Cristian, Chen, Haifeng, Luo, Jiebo
Despite the fact that many anomaly detection approaches have been developed for multivariate time series data, limited effort has been made on federated settings in which multivariate time series data are heterogeneously distributed among different e
Externí odkaz:
http://arxiv.org/abs/2205.04041
Enhanced CO2 capture and reverse water gas shift reaction using CaO in NaCl-CaCl2 molten salt medium
Autor:
Zhao, Xiaotong, Sun, Shuzhuang, Wang, Yuanyuan, Zhang, Yingrui, Zhu, Yuan, Zong, Bo, Hu, Jia, Wu, Chunfei
Publikováno v:
In Carbon Capture Science & Technology September 2024 12
Autor:
Wang, Junxiang, Zhang, Xuchao, Zong, Bo, Liu, Yanchi, Cheng, Wei, Ni, Jingchao, Chen, Haifeng, Zhao, Liang
During the past several years, a surge of multi-lingual Pre-trained Language Models (PLMs) has been proposed to achieve state-of-the-art performance in many cross-lingual downstream tasks. However, the understanding of why multi-lingual PLMs perform
Externí odkaz:
http://arxiv.org/abs/2112.12356
Autor:
Xu, Liyan, Zhang, Xuchao, Zong, Bo, Liu, Yanchi, Cheng, Wei, Ni, Jingchao, Chen, Haifeng, Zhao, Liang, Choi, Jinho D.
We target the task of cross-lingual Machine Reading Comprehension (MRC) in the direct zero-shot setting, by incorporating syntactic features from Universal Dependencies (UD), and the key features we use are the syntactic relations within each sentenc
Externí odkaz:
http://arxiv.org/abs/2112.00503
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Autor:
Bhatnagar, Aadyot, Kassianik, Paul, Liu, Chenghao, Lan, Tian, Yang, Wenzhuo, Cassius, Rowan, Sahoo, Doyen, Arpit, Devansh, Subramanian, Sri, Woo, Gerald, Saha, Amrita, Jagota, Arun Kumar, Gopalakrishnan, Gokulakrishnan, Singh, Manpreet, Krithika, K C, Maddineni, Sukumar, Cho, Daeki, Zong, Bo, Zhou, Yingbo, Xiong, Caiming, Savarese, Silvio, Hoi, Steven, Wang, Huan
We introduce Merlion, an open-source machine learning library for time series. It features a unified interface for many commonly used models and datasets for anomaly detection and forecasting on both univariate and multivariate time series, along wit
Externí odkaz:
http://arxiv.org/abs/2109.09265
Autor:
Zhao, Xiaotong, Sun, Shuzhuang, Wang, Yuanyuan, Zhang, Yingrui, Zhu, Yuan, Zong, Bo, Hu, Jia, Williams, Paul, Wu, Chunfei
Publikováno v:
In Chemical Engineering Journal 1 July 2024 491
Autor:
Jiao, Hai-tao, Wu, Wen-Sheng, Hou, Zong-bo, Tang, Yan-chuan, Hu, Yong, Liu, De-jia, Zhao, Long-zhi
Publikováno v:
In Materials Today Communications March 2024 38
Autor:
Luo, Dongsheng, Cheng, Wei, Ni, Jingchao, Yu, Wenchao, Zhang, Xuchao, Zong, Bo, Liu, Yanchi, Chen, Zhengzhang, Song, Dongjin, Chen, Haifeng, Zhang, Xiang
We present a contrasting learning approach with data augmentation techniques to learn document representations in an unsupervised manner. Inspired by recent contrastive self-supervised learning algorithms used for image and NLP pretraining, we hypoth
Externí odkaz:
http://arxiv.org/abs/2103.14542