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- research-articleMay 2024
A conditioned feature reconstruction network for few-shot classification
Applied Intelligence (KLU-APIN), Volume 54, Issue 8Apr 2024, Pages 6592–6605https://doi.org/10.1007/s10489-024-05516-9AbstractFew-shot classification is one of the most daunting challenges in deep learning. The complexities of this task arise from the fact that category targets are often embedded within intricate and diverse background pixels, resulting in inconspicuous ...
- research-articleJune 2024
Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network
- Gaofeng Zhang,
- Qian Zhan,
- Qingyu Gao,
- Kuanzheng Mao,
- Panpan Yang,
- Yisha Gao,
- Lijia Wang,
- Bin Song,
- Yufei Chen,
- Yun Bian,
- Chengwei Shao,
- Jianping Lu,
- Chao Ma
Computers in Biology and Medicine (CBIM), Volume 170, Issue CMar 2024https://doi.org/10.1016/j.compbiomed.2024.107989AbstractAccurate segmentation of the pancreas from abdominal computed tomography (CT) images is challenging but essential for the diagnosis and treatment of pancreatic disorders such as tumours and diabetes. In this study, a dataset with 229 sets of high-...
Highlights- A dataset with 229 sets of high-resolution pancreatic CT (1 mm).
- 3D pancreatic segmentation model named nnTransfer net was proposed.
- A DICE value of 93.7 for pancreas segmentation was obtained.
- Attention mechanisms were ...
- research-articleFebruary 2024
An optimization framework with improved auction-based initialization for highly constrained on-orbit servicing mission planning
Applied Soft Computing (APSC), Volume 149, Issue PADec 2023https://doi.org/10.1016/j.asoc.2023.110983AbstractThe on-orbit servicing (OOS) mission planning problem for multiple geosynchronous earth orbit (GSO) satellites is a critical issue due to its huge economic value. However, given the complexity of the space scenario and the subjective nature of ...
Highlights- Highly constrained on-orbit servicing mission planning problem is studied.
- A novel optimization framework is proposed.
- The initialization method is based on the variations of the fast pre-planning result.
- The superiority of our ...
- ArticleMarch 2024
Dynamic Path Planning Based on Traffic Flow Prediction and Traffic Light Status
Algorithms and Architectures for Parallel ProcessingOct 2023, Pages 419–438https://doi.org/10.1007/978-981-97-0834-5_24AbstractTraffic flow prediction and path planning are crucial components of effective intelligent transportation systems research. The intelligent transportation system can optimize vehicle driving routes by utilizing predicted traffic flow data for each ...
- research-articleApril 2024
Intelligent Management System for Large Enterprises Based on Parallel System Theory and Social Computing
ICCSMT '23: Proceedings of the 2023 4th International Conference on Computer Science and Management TechnologyOctober 2023, Pages 226–229https://doi.org/10.1145/3644523.3644566The parallel system theory, as an important theory in complex system management, has been widely applied in fields such as smart transportation, smart hospitals, and smart grids. How large enterprises can form a comprehensive intelligent management ...
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- research-articleNovember 2023
Efficient Resource Allocation for Building the Metaverse with UAVs: A Quantum Collective Reinforcement Learning Approach
IEEE Wireless Communications (IEEEWIRCOM), Volume 30, Issue 5October 2023, Pages 152–159https://doi.org/10.1109/MWC.009.2300029The Metaverse offers a highly immersive virtual world where users interact with others and objects in real time through their avatars. The integration of Internet of Things (loT) devices plays a pivotal role in achieving seamless synchronization between ...
- research-articleOctober 2023
A VAE-Based User Preference Learning and Transfer Framework for Cross-Domain Recommendation
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 10Oct. 2023, Pages 10383–10396https://doi.org/10.1109/TKDE.2023.3253168The core idea of cross-domain recommendation is to alleviate the problem of data scarcity. Previous methods have made brilliant successes. However, many of them mainly focus on learning an ideal mapping function across-domains, ignoring the user ...
- research-articleAugust 2023
HSMH: A Hierarchical Sequence Multi-Hop Reasoning Model With Reinforcement Learning
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 36, Issue 4April 2024, Pages 1638–1649https://doi.org/10.1109/TKDE.2023.3303617The incompleteness of knowledge graphs (KGs) negatively impacts the performance of KGs in downstream applications (e.g., recommendation systems and information retrieval). This phenomenon has brought an increasing rise in research related to knowledge ...
- research-articleAugust 2023
Interpretability for reliable, efficient, and self-cognitive DNNs: From theories to applications
AbstractIn recent years, remarkable achievements have been made in artificial intelligence tasks and applications based on deep neural networks (DNNs), especially in the fields of vision, speech, text, and multimodal analysis. The learning of ...
- research-articleAugust 2023
Trust-Aware Multi-Task Knowledge Graph for Recommendation
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 8Aug. 2023, Pages 8658–8671https://doi.org/10.1109/TKDE.2022.3221160Data sparsity and cold start problems are common in recommender systems. Adding some side information, such as knowledge graph and users’ trust relationship, is an effective method to alleviate these problems. However, few work jointly explore the ...
- short-paperJuly 2023
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2023, Pages 1816–1820https://doi.org/10.1145/3539618.3591950The main idea of multimodal recommendation is the rational utilization of the item's multimodal information to improve the recommendation performance. Previous works directly integrate item multimodal features with item ID embeddings, ignoring the ...
- research-articleMay 2023
Inference of User Desires to Spread Disinformation Based on Social Situation Analytics and Group Effect
IEEE Transactions on Dependable and Secure Computing (TDSC), Volume 20, Issue 3May-June 2023, Pages 1833–1848https://doi.org/10.1109/TDSC.2022.3165324The dissemination of digital disinformation in online social networks (OSNs) has been the subject of extensive research, although many challenges remain, including the analysis and control of disinformation dissemination across different platforms (i.e., ...
- research-articleMay 2023
Black-box attacks on image classification model with advantage actor-critic algorithm in latent space
Information Sciences: an International Journal (ISCI), Volume 624, Issue CMay 2023, Pages 624–638https://doi.org/10.1016/j.ins.2023.01.019AbstractThe Internet of Things (IoT) ecosystem that integrates a wide variety of intelligent multimedia applications and services has undergone a tremendous transformation over the years. As an essential approach for securing IoT-based ...
- research-articleApril 2023
Multi-dimensional shared representation learning with graph fusion network for Session-based Recommendation
Information Fusion (INFU), Volume 92, Issue CApr 2023, Pages 205–215https://doi.org/10.1016/j.inffus.2022.11.021AbstractThe Session-based Recommendation (SBR) system aims to forecast anonymous users’ short-term decisions. Many prior research have demonstrated that using Graph Neural Networks (GNN) and Recurrent Neural Networks (RNN) to solve SBR tasks can lead to ...
Highlights- Combining graph neural networks and transformer layers efficiency.
- Graph neural network can learn graph-level item representation.
- Transformer layer is designed to learn sequential-level item representation.
- Fusion the multi-...
- research-articleApril 2023
Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data
- Biao Wang,
- Wenjing Wang,
- Guanglei Meng,
- Tiankuo Meng,
- Bin Song,
- Yingnan Wang,
- Yuming Guo,
- Zhihua Qiao,
- Zhizhong Mao
Engineering Applications of Artificial Intelligence (EAAI), Volume 120, Issue CApr 2023https://doi.org/10.1016/j.engappai.2023.105825AbstractNovelty detection in high-dimensional data is a challenging task due to the masking effect of irrelevant attributes. A common solution is to discover feature subspace, of which attributes are relevant to novelties. Due to the high ...
- research-articleDecember 2023
Multimodal fusion sensitive information classification based on mixed attention and CLIP model1
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 45, Issue 62023, Pages 12425–12437https://doi.org/10.3233/JIFS-233508Social network attackers leverage images and text to disseminate sensitive information associated with pornography, politics, and terrorism,causing adverse effects on society.The current sensitive information classification model does not focus on ...
- research-articleMarch 2023
Inter-Intra Modal Representation Augmentation With Trimodal Collaborative Disentanglement Network for Multimodal Sentiment Analysis
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), Volume 31Pages 1476–1488https://doi.org/10.1109/TASLP.2023.3263801Recently, Multimodal Sentiment Analysis (MSA) is a challenging research area given its complex nature, and humans express emotional cues across various modalities such as language, facial expressions, and speech. Representation and fusion of features are ...
- research-articleFebruary 2023
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval
IEEE Transactions on Multimedia (TOM), Volume 252023, Pages 9189–9202https://doi.org/10.1109/TMM.2023.3248160Image-text retrieval (ITR) is a challenging task in the field of multimodal information processing due to the semantic gap between different modalities. In recent years, researchers have made great progress in exploring the accurate alignment between ...
- research-articleFebruary 2023
Inter-Intra Modal Representation Augmentation With DCT-Transformer Adversarial Network for Image-Text Matching
IEEE Transactions on Multimedia (TOM), Volume 252023, Pages 8933–8945https://doi.org/10.1109/TMM.2023.3243665Image-text matching has become a challenging task in the multimedia analysis field. Many advanced methods have been used to explore local and global cross-modal correspondence in matching. However, most methods ignore the importance of eliminating ...
- research-articleDecember 2022
Intelligent detection method of low-pressure gas system leakage based on semi-supervised anomaly diagnosis
Expert Systems with Applications: An International Journal (EXWA), Volume 209, Issue CDec 2022https://doi.org/10.1016/j.eswa.2022.118376Highlights- Semi supervised leak detection method without leakage data training.
- Deep ...
The pressure signal characteristics in the low-pressure gas pipeline inside building are covered up by complex noise, and it is difficult to collect leakage samples. This paper established a complete low-pressure pipeline system ...