no code implementations • 29 Apr 2024 • Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan
Recovering intermediate missing GPS points in a sparse trajectory, while adhering to the constraints of the road network, could offer deep insights into users' moving behaviors in intelligent transportation systems.
no code implementations • 12 Feb 2024 • Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan
In this paper, we propose a new problem to meet the practical application need, \emph{i. e.}, road network-constrained trajectory (RNTraj) generation, which can directly generate trajectories on the road network with road-related information.
1 code implementation • 11 Feb 2024 • Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
However, most methods target only one specific task and cannot be applied universally.
no code implementations • 19 Dec 2023 • Xiyuan Jin, Jing Wang, Lei Liu, Youfang Lin
As an exemplary self-supervised approach for representation learning, time-series contrastive learning has exhibited remarkable advancements in contemporary research.
no code implementations • 6 Dec 2023 • Xiaobo Hu, Youfang Lin, Hehe Fan, Shuo Wang, Zhihao Wu, Kai Lv
To this end, an agent needs to 1) learn a piece of certain knowledge about the relations of object categories in the world during training and 2) look for the target object based on the pre-learned object category relations and its moving trajectory in the current unseen environment.
no code implementations • 4 Dec 2023 • Wei Chen, Huaiyu Wan, Yuting Wu, Shuyuan Zhao, Jiayaqi Cheng, Yuxin Li, Youfang Lin
Temporal knowledge graphs (TKGs) have been identified as a promising approach to represent the dynamics of facts along the timeline.
no code implementations • 4 Dec 2023 • Xiaobo Hu, Youfang Lin, Yue Liu, Jinwen Wang, Shuo Wang, Hehe Fan, Kai Lv
Visual reinforcement learning has proven effective in solving control tasks with high-dimensional observations.
1 code implementation • 20 Oct 2023 • Shuhan Wu, Huaiyu Wan, Wei Chen, Yuting Wu, Junfeng Shen, Youfang Lin
To address these issues, we propose a novel knowledge graph reasoning approach, the Relational rUle eNhanced Graph Neural Network (RUN-GNN).
no code implementations • 3 Sep 2023 • Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
An emerging research area within these services is service Route\&Time Prediction (RTP), which aims to estimate the future service route as well as the arrival time of a given worker.
1 code implementation • 30 Jul 2023 • Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
Deep neural networks based on supervised learning have emerged as the dominant model for the task because of their powerful ability to capture workers' behavior patterns from massive historical data.
no code implementations • 6 Jul 2023 • Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from O to D when departing at T. ODT-Oracles serve important purposes in map-based services.
no code implementations • 19 Jun 2023 • Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zhen, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
In this paper, we introduce \texttt{LaDe}, the first publicly available last-mile delivery dataset with millions of packages from the industry.
1 code implementation • NeurIPS 2023 • Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang
Based on extensive experiments, we find TSRL achieves great performance on small benchmark datasets with as few as 1% of the original samples, which significantly outperforms the recent offline RL algorithms in terms of data efficiency and generalizability. Code is available at: https://github. com/pcheng2/TSRL
no code implementations • 13 Mar 2023 • Zeqi Shen, Shuo Zhang, Zhuhao Zhang, Qihua Chen, Xueyao Dong, Youfang Lin
On the other hand, because the blur degree also varies with the depth of the object, a depth perception view attention is designed to deblur different depth areas by selectively integrating information from different views.
no code implementations • 2 Mar 2023 • Xiaoyang Yu, Youfang Lin, Xiangsen Wang, Sheng Han, Kai Lv
We firstly define and describe the heterogeneous problems in SMAC.
1 code implementation • 31 Jan 2023 • Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
Spatio-temporal graph neural networks (STGNN) have emerged as the dominant model for spatio-temporal graph (STG) forecasting.
no code implementations • 29 Jul 2022 • Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin
Spatio-temporal trajectories provide valuable information about movement and travel behavior, enabling various downstream tasks that in turn power real-world applications.
no code implementations • 26 May 2022 • Dong Jing, Shuo Zhang, Song Chang, Youfang Lin
In this paper, we propose a novel LFRR network by directly utilizing the complementary pixel information of raindrop-free areas in the input raindrop LF, which consists of the re-sampling module and the refinement module.
no code implementations • 18 Jan 2022 • Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv
Then, CDMPO uses a conservative value function loss to reduce the number of violations of constraints during the exploration process.
Distributional Reinforcement Learning reinforcement-learning +1
no code implementations • 29 Nov 2021 • Xiaobo Hu, Youfang Lin, Shuo Wang, Zhihao Wu, Kai Lv
ACRG is a highly effective structure that consists of two relationships, i. e., the horizontal relationship among objects and the distance relationship between the agent and objects .
no code implementations • 15 Oct 2021 • Hongjun Zhang, Jing Wang, Qinfeng Xiao, Jiaoxue Deng, Youfang Lin
The objective of this paper is to learn semantic representations for sleep stage classification from raw physiological time series.
1 code implementation • 4 Sep 2021 • Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman
To address the above challenges, we propose a multi-view spatial-temporal graph convolutional networks (MSTGCN) with domain generalization for sleep stage classification.
2 code implementations • 7 Aug 2021 • Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen
The research on human emotion under multimedia stimulation based on physiological signals is an emerging field, and important progress has been achieved for emotion recognition based on multi-modal signals.
1 code implementation • 24 May 2021 • Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang
Besides, the multimodal attention module is proposed to adaptively capture valuable information from multimodal data for the specific sleep stage.
1 code implementation • 26 Aug 2020 • Qingyan Sun, Shuo Zhang, Song Chang, Lixi Zhu, Youfang Lin
Light field cameras have been proved to be powerful tools for 3D reconstruction and virtual reality applications.
1 code implementation • International Joint Conference on Artificial Intelligence 2020 • Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He and Yaoshuai Zhao
However, how to effectively utilize brain spatial features and transition information among sleep stages continues to be challenging.
2 code implementations • 3 Apr 2020 • Chao Song, Youfang Lin, Shengnan Guo, Huaiyu Wan
Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning.
Ranked #3 on Traffic Prediction on BJTaxi
no code implementations • Asian Conference on Machine Learning 2019 • Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin
Existing relation classification approaches mainly rely on exploiting external resources and background knowledge to improve the performance and ignore the correlations between entity pairs which are helpful for relation classification.
Ranked #10 on Relation Extraction on SemEval-2010 Task-8
no code implementations • CONLL 2019 • Yuze Ji, Youfang Lin, Jianwei Gao, Huaiyu Wan
Event Detection (ED) is one of the most important task in the field of information extraction.