no code implementations • 27 Feb 2024 • Cong Zhang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jing Sun
Existing learning-based methods for solving job shop scheduling problem (JSSP) usually use off-the-shelf GNN models tailored to undirected graphs and neglect the rich and meaningful topological structures of disjunctive graphs (DGs).
no code implementations • 5 Dec 2023 • Qinan Zhou, Dyche Anderson, Jing Sun
This paper proposes a new method and demonstrates that, with multiple features systematically selected from the module-level ICA and DVA, the module-level SOH can be estimated with high accuracy and confidence in the presence of cell-to-cell variations.
no code implementations • 21 Oct 2023 • Qiuhao Hu, Mohammad Reza Amini, Ashley Wiese, Ilya Kolmanovsky, Jing Sun
This paper explores the synergies between integrated power and thermal management (iPTM) and battery charging in an electric vehicle (EV).
1 code implementation • 5 Jul 2023 • Fei Guo, Li Zhu, YiWang Wang, Jing Sun
The second module (MLT) focuses on the Multiple-level feature of the support prototype and query sample to mine more information for the alignment, which operates on different level features.
no code implementations • 19 Jun 2023 • Mingshi Yan, Zhiyong Cheng, Jing Sun, Fuming Sun, Yuxin Peng
In this paper, we propose MB-HGCN, a novel multi-behavior recommendation model that uses a hierarchical graph convolutional network to learn user and item embeddings from coarse-grained on the global level to fine-grained on the behavior-specific level.
no code implementations • 17 Apr 2023 • Yuxuan Chen, Jing Sun, Boqi Meng
However, due to the frequent occurrence of full current passing through the current transformer during use, its secondary winding has relatively more turns.
no code implementations • 22 Nov 2022 • Jing Sun, Shuo Chen, Cong Zhang, Yining Ma, Jie Zhang
To address this issue, we introduce Distributional Opponent-aided Multi-agent Actor-Critic (DOMAC), the first speculative opponent modelling algorithm that relies solely on local information (i. e., the controlled agent's observations, actions, and rewards).
1 code implementation • 26 May 2022 • Mingshi Yan, Zhiyong Cheng, Chen Gao, Jing Sun, Fan Liu, Fuming Sun, Haojie Li
In particular, we design a cascading residual graph convolutional network structure, which enables our model to learn user preferences by continuously refining user embeddings across different types of behaviors.
no code implementations • 3 Apr 2022 • Boxi Jiang, Mohammad Reza Amini, Yingqian Liao, Joaquim R. R. A. Martins, Jing Sun
The optimization formulation incorporates a coupled dynamic-hydrodynamic model to maximize the rotor power efficiency for various time-variant flow profiles.
no code implementations • 22 Mar 2022 • Niankai Yang, Chao Shen, Matthew Johnson-Roberson, Jing Sun
In the first stage, the surge velocity, heave velocity, and pitch angle setpoints are optimized by minimizing the required vehicle propulsion energy under currents, and the line-of-sight (LOS) guidance law is used to generate the yaw angle setpoint that ensures path following.
no code implementations • 14 Nov 2021 • Yongjun Yan, Nan Li, Jinlong Hong, Bingzhao Gao, Hong Chen, Jing Sun, Ziyou Song
However, the comprehensive comparison between different coasting strategies and online performance of the eco-coasting strategy using road grade preview are still unclear because of the oversimplification and the integer variable in the optimal control problems.
no code implementations • 1 Oct 2021 • Jing Sun, Qi Tang
Artificial neural networks learn various rules and algorithms to form different ways of processing information, and have been widely used in various chemical processes.
no code implementations • 6 Aug 2021 • Dengfeng Ke, Yuxing Lu, Xudong Liu, Yanyan Xu, Jing Sun, Cheng-Hao Cai
With the rapid development of neural network architectures and speech processing models, singing voice synthesis with neural networks is becoming the cutting-edge technique of digital music production.
no code implementations • 27 Jan 2021 • Jing Sun, Weihua Deng, Daxin Nie
Based on this splitting, we respectively discretize the one- and two-dimensional integral fractional Laplacian with the inhomogeneous Dirichlet boundary condition and give the corresponding truncation errors with the help of the interpolation estimate.
Numerical Analysis Numerical Analysis
no code implementations • 25 Jan 2021 • Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li
From the revealed unified JMMD, we illustrate that JMMD degrades the feature-label dependence (discriminability) that benefits to classification, and it is sensitive to the label distribution shift when the label kernel is the weighted class conditional one.
no code implementations • 20 Oct 2020 • Niankai Yang, Ziyou Song, Heath Hofmann, Jing Sun
The challenge lies in the fact that partial discharge truncates the data available for SOH estimation, thereby leading to the loss or distortion of common SOH indicators.
no code implementations • 8 May 2020 • Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding
However, there are usually a large number of unlabeled data but only a few labeled data in the source domain, and how to transfer knowledge from this sparsely-labeled source domain to the target domain is still a challenge, which greatly limits their application in the wild.
no code implementations • 20 Mar 2020 • Anh Tran, Mike Eldred, Tim Wildey, Scott McCann, Jing Sun, Robert J. Visintainer
First, the efficiency of the Bayesian optimization is improved, where multiple input locations are evaluated massively parallel in an asynchronous manner to accelerate the optimization convergence with respect to physical runtime.
no code implementations • 24 Dec 2019 • Wei Wang, Haojie Li, Zhihui Wang, Jing Sun, Zhengming Ding, Fuming Sun
Firstly, an importance filtered mechanism is devised to generate filtered soft labels to mitigate negative transfer desirably.
no code implementations • 19 Aug 2019 • Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinlin Liu, Jing Sun
Clinical text structuring is a critical and fundamental task for clinical research.
1 code implementation • 28 Oct 2017 • Cheng-Hao Cai, Yanyan Xu, Dengfeng Ke, Kaile Su, Jing Sun
In experiments, it is demonstrated that the revised rules can be used to train a range of functional connections: 20 different functions are applied to neural networks with up to 10 hidden layers, and most of them gain high test accuracies on the MNIST database.
no code implementations • 1 May 2017 • Macheng Shen, Jing Sun, Ding Zhao
It has been shown, in our previous work, that the GNSS error can be reduced from several meters to sub-meter level by matching the biased GNSS positioning to a digital map with road constraints.
Systems and Control
no code implementations • 26 Mar 2017 • Macheng Shen, Jing Sun, Ding Zhao
Cooperative map matching (CMM) uses the Global Navigation Satellite System (GNSS) positioning of a group of vehicles to improve the standalone localization accuracy.
Systems and Control
no code implementations • 19 Feb 2017 • Macheng Shen, Ding Zhao, Jing Sun, Huei Peng
A Rao-Blackwellized particle filter (RBPF) is used to jointly estimate the common biases of the pseudo-ranges and the vehicle positions.
Systems and Control