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- research-articleJuly 2024JUST ACCEPTED
Neighbor-enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks
ACM Transactions on Knowledge Discovery from Data (TKDD), Just Accepted https://doi.org/10.1145/3676559Dynamic link prediction aims to predict future connections among unconnected nodes in a network. It can be applied for friend recommendations, link completion and other tasks. Network representation learning algorithms have demonstrated considerable ...
- research-articleJuly 2024
A self-stabilizing and auto-provisioning orchestration for microservices in edge-cloud continuum
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 242, Issue CApr 2024https://doi.org/10.1016/j.comnet.2024.110279AbstractModern user-facing services are progressively evolving from large monolithic applications to complex graphs of loosely-coupled microservices. While this shift provides opportunities to offload some microservices of a user-facing service to edge ...
- research-articleJune 2024
Symmetry-constrained linear sliding co-occurrence LBP for fine-grained leaf image retrieval
Computers and Electronics in Agriculture (COEA), Volume 218, Issue CMar 2024https://doi.org/10.1016/j.compag.2024.108741Highlights- A novel local descriptor, named Symmetry-Constrained Linear Sliding Co-occurrence LBP (SCLS-CoLBP), is proposed to depict texture patterns of leaf images.
- Itencodes both space symmetry characteristics and directional information of ...
Fine-grained leaf image retrieval (FGLIR) is a new and challenging issue that has not yet well-studied in the research community of content-based image retrieval (CBIR). It focuses on similarity retrieval of leaf images in the level of subspecies ...
- research-articleJune 2024
A study on requirement optimization of intelligent health care information system for rural elderly based on improved FKM-TOPSIS method
Information Services and Use (INSU), Volume 44, Issue 22024, Pages 177–194https://doi.org/10.3233/ISU-230198Against the backdrop of China’s young and middle-aged population moving to the cities to work, older adults in rural areas of China are facing even more severe old-age and healthcare dilemmas. Under such circumstances, how to improve the functions of age-...
- research-articleJune 2024
Model-based reinforcement learning via imagination with derived memory
- Yao Mu,
- Yuzheng Zhuang,
- Bin Wang,
- Guangxiang Zhu,
- Wulong Liu,
- Jianyu Chen,
- Ping Luo,
- Shengbo Eben Li,
- Chongjie Zhang,
- Jianye Hao
NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing SystemsDecember 2021, Article No.: 727, Pages 9493–9505Model-based reinforcement learning aims to improve the sample efficiency of policy learning by modelling the dynamics of the environment. Recently, the latent dynamics model has been further developed to enable fast planning in a compact space. It ...
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- research-articleJune 2024
Global hotspots and trends of robotics in urological surgery: a scientometric analysis
AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data ForumSeptember 2023, Pages 475–479https://doi.org/10.1145/3660395.3660478We searched the Web of science core database for literature related to robotic surgery in urology, and finally included 1315 relevant papers. Bibliometric analysis was carried out using software such as CiteSpace and VOSviewer, and graphs were plotted ...
- research-articleJune 2024
Analogue Simulation of Cement Fiberboard
AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data ForumSeptember 2023, Pages 283–287https://doi.org/10.1145/3660395.3660445With the development of cities, there is an increasing demand for fast construction. In response to this need, the introduction of cement fiberboard has emerged as a solution. This building material offers the advantage of reducing construction time, ...
- research-articleJune 2024JUST ACCEPTED
PnA: Robust Aggregation Against Poisoning Attacks to Federated Learning for Edge Intelligence
Federated learning (FL), which holds promise for use in edge intelligence applications for smart cities, enables smart devices collaborate in training a global model by exchanging local model updates instead of sharing local training data. However, the ...
- research-articleMay 2024
Optimizing cardiovascular image segmentation through integrated hierarchical features and attention mechanisms
Technology and Health Care (TAHC), Volume 32, Issue S12024, Pages 403–413https://doi.org/10.3233/THC-248035BACKGROUND:Cardiovascular diseases are the top cause of death in China. Manual segmentation of cardiovascular images, prone to errors, demands an automated, rapid, and precise solution for clinical diagnosis.
OBJECTIVE:The paper highlights deep ...
- research-articleMay 2024
EmbodiedGPT: vision-language pre-training via embodied chain of thought
- Yao Mu,
- Qinglong Zhang,
- Mengkang Hu,
- Wenhai Wang,
- Mingyu Ding,
- Jun Jin,
- Bin Wang,
- Jifeng Dai,
- Yu Qiao,
- Ping Luo
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 1090, Pages 25081–25094Embodied AI is a crucial frontier in robotics, capable of planning and executing action sequences for robots to accomplish long-horizon tasks in physical environments. In this work, we introduce EmbodiedGPT, an end-to-end multi-modal foundation model for ...
- research-articleMay 2024
Design from policies: conservative test-time adaptation for offline policy optimization
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 669, Pages 15210–15233In this work, we decouple the iterative bi-level offline RL (value estimation and policy extraction) from the offline training phase, forming a non-iterative bi-level paradigm and avoiding the iterative error propagation over two levels. Specifically, ...
- research-articleMay 2024
Theoretically guaranteed bidirectional data rectification for robust sequential recommendation
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsDecember 2023, Article No.: 127, Pages 2850–2876Sequential recommender systems (SRSs) are typically trained to predict the next item as the target given its preceding (and succeeding) items as the input. Such a paradigm assumes that every input-target pair is reliable for training. However, users can ...
- ArticleMay 2024
BoundEst: Estimating Join Cardinalities with Tight Upper Bounds
AbstractCardinality estimation is a critical component of query optimization. Despite extensive research, achieving efficient and accurate estimation for join queries remains challenging. Estimating tight upper bounds for join cardinalities can help the ...
- research-articleMay 2024
Integrated Data Platform and Key Technologies for Intelligent Mining Operations
ICAICE '23: Proceedings of the 4th International Conference on Artificial Intelligence and Computer EngineeringNovember 2023, Pages 897–902https://doi.org/10.1145/3652628.3652778The purpose of this paper is to study and design an intelligent data platform architecture and key technologies that meet the needs of intelligent mines, in order to achieve comprehensive integration and management of mining data. As the mining industry ...
- research-articleApril 2024
Hypergraph-based Truth Discovery for Sparse Data in Mobile Crowdsensing
ACM Transactions on Sensor Networks (TOSN), Volume 20, Issue 3Article No.: 69, Pages 1–23https://doi.org/10.1145/3649894Mobile crowdsensing leverages the power of a vast group of participants to collect sensory data, thus presenting an economical solution for data collection. However, due to the variability among participants, the quality of sensory data varies ...
- research-articleApril 2024
DeepWind: a heterogeneous spatio-temporal model for wind forecasting
Knowledge-Based Systems (KNBS), Volume 286, Issue CFeb 2024https://doi.org/10.1016/j.knosys.2024.111385AbstractDeep learning (DL) has shown great potential in enhancing the performance of traditional numerical weather prediction (NWP) methods in weather forecasting. Certain applications such as wind power generation desire more accurate wind predictions ...
Highlights- A novel heterogeneous neural network for wind forecasting.
- A target variable transformation based on meteorological domain knowledge.
- A time-related embedding technique and a novel loss function to improve model generalization.
- research-articleApril 2024
How mHealth plays the role in Caregivers? A Bibliometric Visualization Analysis
- Xiaohong Zhu,
- Shihua Cao,
- Bin Wang,
- Chaoqun Dong,
- Wenhao Qi,
- Binngsheng Wang,
- Xiajing Lou,
- Jiani Yao,
- Yankai Shi,
- Yanfei Chen,
- Danni He
ICMLCA '23: Proceedings of the 2023 4th International Conference on Machine Learning and Computer ApplicationOctober 2023, Pages 768–772https://doi.org/10.1145/3650215.3650349We conducted a literature review on the use of mobile health technology in caregiving in China. Our study included 2142 relevant articles, and our results show that mHealth can reduce caregiver burdens, improve decision-making, and provide self-...
- research-articleApril 2024
Research hotspots and trends of monitoring technologies in dementia: A Scientometric analysis
- Wenhao Qi,
- Shihua Cao,
- Bingsheng Wang,
- Xiaohong Zhu,
- Danni He,
- Bin Wang,
- Chaoqun Dong,
- Yankai Shi,
- Yanfei Chen,
- Jiani Yao,
- Xiajing Lou
ICMLCA '23: Proceedings of the 2023 4th International Conference on Machine Learning and Computer ApplicationOctober 2023, Pages 762–767https://doi.org/10.1145/3650215.3650348Dementia is a serious neurodegenerative disease that will cause a huge burden on patients and their families. With the development of technology, numerous monitoring techniques have emerged. We found 946 papers related to dementia monitoring by searching ...
- research-articleApril 2024
A Color Image Encryption Algorithm Based on Complementary Map and Iterative Convolutional Code
ICMLSC '24: Proceedings of the 2024 8th International Conference on Machine Learning and Soft ComputingJanuary 2024, Pages 186–196https://doi.org/10.1145/3647750.3647779Encryption is a valid means to safeguard the safety of images, and for color images, encryption should be performed considering the intrinsic correlation between R, G, and B components. In this paper, we propose an image encryption algorithm based on a ...
- research-articleApril 2024
Decomposed mutual information optimization for generalized context in meta-reinforcement learning
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing SystemsNovember 2022, Article No.: 1999, Pages 27563–27575Adapting to the changes in transition dynamics is essential in robotic applications. By learning a conditional policy with a compact context, context-aware meta-reinforcement learning provides a flexible way to adjust behavior according to dynamics ...