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- research-articleFebruary 2024
Partial-twuality polynomials of delta-matroids
Advances in Applied Mathematics (AAMA), Volume 153, Issue CFeb 2024https://doi.org/10.1016/j.aam.2023.102623AbstractGross, Mansour and Tucker introduced the partial-twuality polynomial of a ribbon graph. Chumutov and Vignes-Tourneret posed a problem: it would be interesting to know whether the partial duality polynomial and the related conjectures would make ...
- research-articleDecember 2023
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance
Expert Systems with Applications: An International Journal (EXWA), Volume 232, Issue CDec 2023https://doi.org/10.1016/j.eswa.2023.120837AbstractThe distributed assembly flow shop scheduling (DAFS) problem has received much attention in the last decade, and a variety of metaheuristic algorithms have been developed to achieve the high-quality solution. However, there are still some ...
- ArticleDecember 2023
3D Lightweight Spatial-Spectral Attention Network for Hyperspectral Image Classification
Pattern Recognition and Computer VisionOct 2023, Pages 297–308https://doi.org/10.1007/978-981-99-8537-1_24AbstractCompared with the convolutional neural network (CNN), a 3D lightweight network (3D-LWNet) can successfully perform hyperspectral image (HSI) classification using fewer network parameters. However, results of these methods can not reflect the ...
- ArticleMay 2024
Heterogeneous Graph Contrastive Learning with Dual Aggregation Scheme and Adaptive Augmentation
AbstractHeterogeneous graphs are ubiquitous in the real world, such as online shopping networks, academic citation networks, etc. Heterogeneous Graph Neural Networks (HGNNs) have been widely used to capture rich semantic information on graph data, showing ...
- ArticleMay 2024
Multi-relational Heterogeneous Graph Attention Networks for Knowledge-Aware Recommendation
AbstractKnowledge graph (KG) contains rich semantic information and is widely used in recommendation systems. Knowledge graph is a heterogeneous graph, and entities are connected by multiple relations. Users have different preferences for different ...
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- research-articleJune 2024
End-to-End Rockfall Detection Based on DINO
AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data ForumSeptember 2023, Pages 532–536https://doi.org/10.1145/3660395.3660488In this paper, we utilized the DINO object detection model to achieve end-to-end deep learning-based rockfall detection. Rockfalls cause significant economic losses and casualties every year, and timely detection and response are crucial to prevent ...
- ArticleJanuary 2024
- research-articleJune 2023
SRCON: A Data-Driven Network Performance Simulator for Real-World Wireless Networks
- Zhi-Quan Luo,
- Xi Zheng,
- David López-Pérez,
- Qi Yan,
- Xin Chen,
- Nanbin Wang,
- Qingjiang Shi,
- Tsung-Hui Chang,
- Adrian Garcia-Rodriguez
IEEE Communications Magazine (COMAG), Volume 61, Issue 6June 2023, Pages 96–102https://doi.org/10.1109/MCOM.001.2200179Optimizing the performance of a real-world wireless network is extremely challenging because of the difficulty to predict the network performance as a function of network parameters, and the prohibitively large problem size. The conventional network ...
- research-articleOctober 2022
Hierarchically Constrained Adaptive Ad Exposure in Feeds
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementOctober 2022, Pages 3003–3012https://doi.org/10.1145/3511808.3557103A contemporary feed application usually provides blended results of organic items and sponsored items~(ads) to users. Conventionally, ads are exposed at fixed positions. Such a fixed ad exposure strategy is inefficient due to ignoring users' ...
- research-articleOctober 2022
Excluded checkerboard colourable ribbon graph minors
AbstractMotivated by the Eulerian ribbon graph minors, in this paper we introduce the notion of checkerboard colourable minors for ribbon graphs and its dual: bipartite minors for ribbon graphs. Motivated by the bipartite minors of abstract graphs, ...
- ArticleSeptember 2022
Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth
- Alicia B. Dagle,
- Yucheng Liu,
- David Crosby,
- Helen Feltovich,
- Michael House,
- Qi Yan,
- Kristin M. Myers,
- Sachin Jambawalikar
Perinatal, Preterm and Paediatric Image AnalysisSep 2022, Pages 48–59https://doi.org/10.1007/978-3-031-17117-8_5AbstractA safe, full-term pregnancy is vital to the health and well-being of every child, yet it is far from guaranteed. Preterm birth (PTB) is the leading cause of perinatal death and remains a major global health concern. Due to limited pregnancy-...
- research-articleAugust 2022
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm
Computers and Operations Research (CORS), Volume 144, Issue CAug 2022https://doi.org/10.1016/j.cor.2022.105823Highlights- An integrated optimization problem of flexible job shop scheduling and preventive maintenance is investigated.
Dynamic scheduling methods are essential and critical to manufacturing systems because of uncertain events in the production process, such as new job insertions, order cancellations, worker absences, and machine breakdowns. Emerging ...
- research-articleAugust 2022
Twist polynomials of delta-matroids
Advances in Applied Mathematics (AAMA), Volume 139, Issue CAug 2022https://doi.org/10.1016/j.aam.2022.102363AbstractRecently, Gross, Mansour and Tucker introduced the partial duality polynomial of a ribbon graph and posed a conjecture that there is no orientable ribbon graph whose partial duality polynomial has only one non-constant term. We found ...
- research-articleJune 2022
The Ihara-Zeta Function and the Spectrum of the Join of Two Semi-Regular Bipartite Graphs
Graphs and Combinatorics (GCOM), Volume 38, Issue 3Jun 2022https://doi.org/10.1007/s00373-022-02482-2AbstractIn this paper, using matrix techniques, we compute the Ihara-zeta function and the number of spanning trees of the join of two semi-regular bipartite graphs. Furthermore, we show that the spectrum and the Ihara-zeta function of the join of two ...
- research-articleMay 2022
Counterexamples to the interpolating conjecture on partial-dual genus polynomials of ribbon graphs
European Journal of Combinatorics (EJCM), Volume 102, Issue CMay 2022https://doi.org/10.1016/j.ejc.2021.103493AbstractGross, Mansour and Tucker introduced the partial-dual orientable genus polynomial and the partial-dual Euler genus polynomial. They showed that the partial-dual genus polynomial for an orientable ribbon graph is interpolating and gave ...
- research-articleAugust 2021
Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach
Advanced Engineering Informatics (ADEI), Volume 49, Issue CAug 2021https://doi.org/10.1016/j.aei.2021.101339AbstractThis paper studies an integrated optimization problem of production scheduling and flexible preventive maintenance (PM) in a multi-state single machine system with deteriorating effects. A flexible PM strategy is proposed to ...
- doctoral_thesisJanuary 2021
Machine Learning Approach to Proactive Crash Management at Freeway Systems for Smart Cities
AbstractProactive traffic management strategies allow transportation agencies to anticipate the expected roadway system conditions and proactively implement strategies to prevent crashes, prevent secondary crashes, reduce the impacts of roadway crashes ...
- research-articleSeptember 2020
Classification of Flowers under Complex Background Using Inception-V3 Network
ICDLT '20: Proceedings of the 2020 4th International Conference on Deep Learning TechnologiesJuly 2020, Pages 113–117https://doi.org/10.1145/3417188.3417192In recent years, benefiting from the introduction of deep learning network algorithms such as Inception, Resnet, and Mobilenet, the accuracy of object classification has been significantly improved, especially for flower classification. Furthermore, ...
- research-articleJuly 2019
Classification of Blurred Flowers Using Convolutional Neural Networks
ICDLT '19: Proceedings of the 2019 3rd International Conference on Deep Learning TechnologiesJuly 2019, Pages 71–74https://doi.org/10.1145/3342999.3343006In recent years, flower image processing has been improved dramatically with the help of deep learning, notably convolutional neural network related algorithms. With the advent of smart devices, it becomes much easier to take photos of wild flowers for ...
- research-articleDecember 2018
An Efficient Two-User Multicast Pushing Policy for Cache Hit Ratio Maximization
2018 IEEE Global Communications Conference (GLOBECOM)Dec 2018, Pages 1–6https://doi.org/10.1109/GLOCOM.2018.8647238Pro-active pushing is a promising emerging communication technology to improve the resource efficiency and quality of service provisioning in mobile networks. This paper characterizes users' requests with request delay information (RDI), and proposes to ...