289 citations · 464 across the 17 of their papers we have counts for
17 papers
Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning
Yijian Wang, Yang Cui, Yang Li +1
Achieving the economical and stable operation of Multi-microgrids (MMG) systems is vital. However, there are still some challenging problems to be solved. Firstly, from the perspec…
Enhanced photovoltaic effect in graphene-silicon Schottky junction under mechanical manipulation
Dong Pu, Muhammad Abid Anwar, Jiachao Zhou +7
Graphene-silicon Schottky junction (GSJ) which has the potential for large-scale manufacturing and integration can bring new opportunities to Schottky solar cells for photovoltaic…
Deep learning for full-field ultrasonic characterization
Yang Xu, Fatemeh Pourahmadian, Jian Song +1
This study takes advantage of recent advances in machine learning to establish a physics-based data analytic platform for distributed reconstruction of mechanical properties in lay…
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Bowen Xie, Yuxuan Sun, Sheng Zhou +4
Federated learning (FL) is a promising approach to enable the future Internet of vehicles consisting of intelligent connected vehicles (ICVs) with powerful sensing, computing and c…
Spin filtering effect in intrinsic 2D magnetic semiconductor Cr2Ge2Te6
Honglei Feng, Gang Shi, Dayu Yan +5
All van der Waals (vdW) Fe3GeTe2/Cr2Ge2Te6/graphite magnetic heterojunctions have been fabricated via mechanical exfoliation and stacking, and their magnetotransport properties are…
K-Detector: Identifying Duplicate Crash Failures in Large-Scale Software Delivery
Hao Yang, Yang Xu, Yong Li +1
After a developer submits code, corresponding test cases arise to ensure the quality of software delivery. Test failures would occur during this period, such as crash, error, and t…
Semantically Informed Slang Interpretation
Zhewei Sun, Richard Zemel, Yang Xu
Slang is a predominant form of informal language making flexible and extended use of words that is notoriously hard for natural language processing systems to interpret. Existing a…
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…
An Automatic Observation Management System of the GWAC Network I: System Architecture and Workflow
Xuhui Han, Yujie Xiao, PinPin Zhang +21
The GWAC-N is an observation network composed of multi-aperture and multi-field of view robotic optical telescopes. The main instruments are the GWAC-A. Besides, several robotic op…
Machine learning and high-throughput robust design of P3HT-CNT composite thin films for high electrical conductivity
Daniil Bash, Yongqiang Cai, Vijila Chellappan +16
Combining high-throughput experiments with machine learning allows quick optimization of parameter spaces towards achieving target properties. In this study, we demonstrate that ma…
A robust low data solution: dimension prediction of semiconductor nanorods
Xiaoli Liu, Yang Xu, Jiali Li +4
Precise control over dimension of nanocrystals is critical to tune the properties for various applications. However, the traditional control through experimental optimization is sl…
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems
Zi Xu, Huiling Zhang, Yang Xu +1
Much recent research effort has been directed to the development of efficient algorithms for solving minimax problems with theoretical convergence guarantees due to the relevance o…
Application of Pre-training Models in Named Entity Recognition
Yu Wang, Yining Sun, Zuchang Ma +3
Named Entity Recognition (NER) is a fundamental Natural Language Processing (NLP) task to extract entities from unstructured data. The previous methods for NER were based on machin…
To schedule or not to schedule: when no-scheduling can beat the best-known flow scheduling algorithm in datacenter networks
Soheil Abbasloo, Yang Xu, H. Jonathan Chao
Conventional wisdom for minimizing the average flow completion time (AFCT) in the datacenter network (DCN), where flow sizes are highly variable, would suggest scheduling every ind…
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network
Stephen L. H. Lau, Edwin K. P. Chong, Xu Yang +1
Automated pavement crack image segmentation is challenging because of inherent irregular patterns, lighting conditions, and noise in images. Conventional approaches require a subst…
High-performance silicon-graphene hybrid plasmonic waveguide photodetectors beyond 1.55 μm
Jingshu Guo, Jiang Li, Chaoyue Liu +11
A fast silicon-graphene hybrid plasmonic waveguide photodetectors beyond 1.55 μm is proposed and realized by introducing an ultra-thin wide silicon-on-insulator ridge core region w…
Tacit knowledge mining algorithm based on linguistic truth-valued concept lattice
Li Yang, Yuhui Wang
This paper is the continuation of our research work about linguistic truth-valued concept lattice. In order to provide a mathematical tool for mining tacit knowledge, we establish…