no code implementations • 24 Apr 2024 • ChengYuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation.
no code implementations • 3 Dec 2023 • Dongdong Li, Zhongliang Zeng, Zhe Wang, Hai Yang
The ESTformer, with the fixed masking strategy, adopts a mask token to up-sample the low-resolution (LR) EEG data in case of disturbance from mathematical interpolation methods.
no code implementations • 12 Aug 2023 • Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
The growing popularity of deep learning has led to the development of numerous methods for trajectory prediction.
1 code implementation • 22 Mar 2023 • Siyuan Feng, Taijie Chen, Yuhao Zhang, Jintao Ke, Zhengfei Zheng, Hai Yang
In addition, the existing simulators still face many challenges, ranging from their closeness to real environments of ride-sourcing systems, to the completeness of different tasks they can implement.
1 code implementation • 23 Feb 2023 • Kehua Chen, Yuxuan Liang, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang
Accurate traffic prediction is essential for effective urban management and the improvement of transportation efficiency.
no code implementations • 28 Jul 2022 • Hai Yang, Yuhang Sheng, Yi Jiang, Xiaoyang Fang, Dongdong Li, Jing Zhang, Zhe Wang
In addition, Subtype-Former also achieved outstanding results in pan-cancer subtyping, which can help analyze the commonalities and differences across various cancer types at the molecular level.
no code implementations • 15 May 2022 • Hai Yang, Yibin Liu, Junxiao Wang, Jun Yang
In this paper, an improved multi-step finite control set model predictive current control (FCS-MPCC) strategy with speed loop disturbance compensation is proposed for permanent magnet synchronous machine (PMSM) drives system.
no code implementations • 30 Jun 2021 • Zhengfei Zheng, Xu Geng, Hai Yang
Therefore, a comprehensive and multifaceted dataset is required to enable more extensive studies in urban computing.
no code implementations • 5 Feb 2021 • Hai Yang, Feng Yuan, Ye-Fei Yuan, Christopher J. White
One interesting finding, among others, is that even in the case of very rapidly spinning black hole where the jet is supposed to be the strongest, the momentum flux of jet is smaller than that of wind, while the total energy flux of jet is larger than that of wind by at most a factor of 10.
High Energy Astrophysical Phenomena
no code implementations • 11 Nov 2020 • Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye
To address this issue, we propose a deep multi-task multi-graph learning approach, which combines two components: (1) multiple multi-graph convolutional (MGC) networks for predicting demands for different service modes, and (2) multi-task learning modules that enable knowledge sharing across multiple MGC networks.
1 code implementation • 17 Oct 2019 • Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye
To overcome this challenge, we propose the Spatio-Temporal Encoder-Decoder Residual Multi-Graph Convolutional network (ST-ED-RMGC), a novel deep learning model for predicting ride-sourcing demand of various OD pairs.
no code implementations • 11 Feb 2018 • Jintao Ke, Shuaichao Zhang, Hai Yang, Xiqun Chen
However, few research focuses on the missing data imputation in real-time crash likelihood prediction, although missing values are commonly observed due to breakdown of sensors or external interference.
no code implementations • 20 Jun 2017 • Jintao Ke, Hongyu Zheng, Hai Yang, Xiqun, Chen
The fusion of convolutional techniques and the LSTM network enables the proposed DL approach to better capture the spatio-temporal characteristics and correlations of explanatory variables.
no code implementations • 21 Mar 2014 • Xiaoge Zhang, Andrew Adamatzky, Xin-She Yang, Hai Yang, Sankaran Mahadevan, Yong Deng
A supply chain is a system which moves products from a supplier to customers.