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- research-articleNovember 2024
STFDiff: Remote sensing image spatiotemporal fusion with diffusion models
AbstractSpatiotemporal fusion (STF) methods aim to blend satellite images with different spatial and temporal resolutions to support more frequent and precise monitoring. In the past decades, amounts of STF methods have been developed with remarkable ...
Highlights- Propose a diffusion model for STF (STFDiff) with solid theoretical basis.
- STFDiff learns the probability distribution of fine images from historical data.
- Build a benchmark dataset E-SMILE to verify the generalization of STFDiff.
- research-articleOctober 2024
Shapley Value-based Contrastive Alignment for Multimodal Information Extraction
MM '24: Proceedings of the 32nd ACM International Conference on MultimediaPages 5270–5279https://doi.org/10.1145/3664647.3681367The rise of social media and the exponential growth of multimodal communication necessitates advanced techniques for Multimodal Information Extraction (MIE). However, existing methodologies primarily rely on direct Image-Text interactions, a paradigm ...
- research-articleSeptember 2024
Multi-colour sketch-based image retrieval with an explicable feature embedding
Engineering Applications of Artificial Intelligence (EAAI), Volume 135, Issue Chttps://doi.org/10.1016/j.engappai.2024.108757AbstractSketch-based image retrieval (SBIR) is a cross-domain matching problem that has been gaining continuous attention in the computer vision community. Currently, SBIR techniques mainly focus on dealing with black-and-white sketches and ignore the ...
- research-articleAugust 2024
Fixed-Time Fuzzy Vibration Reduction for Stochastic MEMS Gyroscopes With Low Communication Resources
IEEE Transactions on Fuzzy Systems (TOFS), Volume 32, Issue 8Pages 4220–4233https://doi.org/10.1109/TFUZZ.2024.3392296The microelectromechanical system (MEMS) gyroscope is a complex nonlinear system with multiple variables, strong coupling, and susceptibility to stochastic disturbances. This article presents an adaptive fuzzy control scheme for stochastic MEMS gyroscopes,...
- research-articleNovember 2024
Control of Discharge Concentration of Reactor Based on ESO-GPC
ICCIR '24: Proceedings of the 2024 4th International Conference on Control and Intelligent RoboticsPages 191–195https://doi.org/10.1145/3687488.3687522To address the issues of nonlinearity, time-varying, and time delay in the control of continuous stirred tank reaction processes, an extended state observer (ESO) is combined with generalized predictive control (GPC). This method utilizes an extended ...
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- research-articleMay 2024
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
WWW '24: Proceedings of the ACM Web Conference 2024Pages 4059–4070https://doi.org/10.1145/3589334.3645420Web-based applications such as chatbots, search engines and news recommendations continue to grow in scale and complexity with the recent surge in the adoption of large language models (LLMs). Online model selection has thus garnered increasing attention ...
- research-articleJanuary 2024
Sparse Phase Retrieval With Partial Convolutional Measurements
IEEE Transactions on Information Theory (ITHR), Volume 70, Issue 5Pages 3750–3766https://doi.org/10.1109/TIT.2024.3354788In this paper, we consider the sparse phase retrieval problem, that is, recovering an unknown <inline-formula> <tex-math notation="LaTeX">$s$ </tex-math></inline-formula>-sparse signal <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {x}\in \...
- research-articleMay 2024
Toward Autonomous Trusted Networks-From Digital Twin Perspective
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 3Pages 84–91https://doi.org/10.1109/MNET.2024.3353180With the rapid growth of online applications and the increasing complexity of network architecture, network security faces significant challenges. As a promising approach, the network digital twin brings fresh opportunities for building more trustworthy ...
- research-articleAugust 2024
Leak localization method for coal mine water supply pipelines based on CEEMD and wavelet denoising
ASENS '24: Proceedings of the International Conference on Algorithms, Software Engineering, and Network SecurityPages 567–570https://doi.org/10.1145/3677182.3677283To address the issue of high noise interference and significant localization errors in coal mine water supply pipeline leak detection using the acoustic method, this study introduced Complementary Ensemble Empirical Mode Decomposition (CEEMD) and Wavelet ...
- research-articleJune 2024
Improving AST-Level Code Completion with Graph Retrieval and Multi-Field Attention
ICPC '24: Proceedings of the 32nd IEEE/ACM International Conference on Program ComprehensionPages 125–136https://doi.org/10.1145/3643916.3644420Code completion, which provides code suggestions by generating code snippets or structures, has become an essential feature of integrated development environments (IDEs). Recently, some studies have begun to use graph neural networks to complete AST-...
- research-articleApril 2024
A multi-sensor fusion framework with tight coupling for precise positioning and optimization
AbstractIn the dynamic landscape of artificial intelligence and robotics, the pursuit of accurate positioning in mobile robots has intensified. This research addresses the limitations of single-sensor SLAM (Simultaneous Localization and Mapping) ...
Highlights- Introduces a tightly coupled multi-sensor SLAM framework that harnesses the synergies of LiDAR, Camera, IMU, and GNSS.
- Laser–visual–inertial odometry fusion system optimizes pose estimation, overcoming limitations of standalone ...
- research-articleMarch 2024
Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control
AbstractThis article develops a robot skill learning system with multi-space fusion, simultaneously considering motion/stiffness generation and trajectory tracking. To begin with, surface electromyography (sEMG) signals from the human arm is captured ...
- research-articleJanuary 2024
Toward joint utilization of absolute and relative bandit feedback for conversational recommendation
User Modeling and User-Adapted Interaction (KLU-USER), Volume 34, Issue 5Pages 1707–1744https://doi.org/10.1007/s11257-023-09388-5AbstractConversational recommendation has been a promising solution for recent recommenders to address the cold-start problem suffered by traditional recommender systems. To actively elicit users’ dynamically changing preferences, conversational ...
- research-articleJanuary 2024
Hardened latch designs based on the characteristic of transistor for mitigating multiple-node-upsets in harsh radiation environments
AbstractDue to the gradual reduction of technology size, advanced circuits are more and more impacted by radiation particles. To mitigate multiple-node-upsets (MNUs) of a latch in a harsh radiation environment, and reduce the overhead in power, delay, ...
- research-articleJanuary 2024
Skeleton-based action recognition based on multidimensional adaptive dynamic temporal graph convolutional network
Engineering Applications of Artificial Intelligence (EAAI), Volume 127, Issue PAhttps://doi.org/10.1016/j.engappai.2023.107210AbstractDue to the superior capability to process the topology of graphs, graph convolutional networks are gaining popularity in the field of action recognition based on skeleton data. However, it remains difficult to effectively extract features with ...
- research-articleDecember 2023
Enhancing intelligent IoT services development by integrated multi-token code completion
Computer Communications (COMS), Volume 212, Issue CPages 313–323https://doi.org/10.1016/j.comcom.2023.10.014AbstractThe Internet of Things (IoT) is a revolutionary network of interconnected devices embedded with sensors and software that enables seamless communication, data sharing, and intelligent decision-making in the form of IoT services. To facilitate the ...
Highlights- Code completion techniques in IoT service layer accelerate development and enhance intelligent sensing.
- Graph Neural Networks improve smaller language models for multi-token code completion.
- The S2RCC framework predicts code ...
- ArticleNovember 2023
Broadcast-Optimal Four-Round MPC in the Plain Model
AbstractThe prior works of Cohen, Garay and Zikas (Eurocrypt 2020), Damgård, Magri, Ravi, Siniscalchi and Yakoubov (Crypto 2021) and Damgård, Ravi, Siniscalchi and Yakoubov (Eurocrypt 2023) study 2-round Multi-Party Computation (where some form of set-up ...
- ArticleOctober 2023
Collective Entity Linking with Joint Subgraphs
Natural Language Processing and Chinese ComputingPages 173–184https://doi.org/10.1007/978-3-031-44696-2_14AbstractThe problem of collective methods based on graph presents challenges: given mentions and their candidate entities, methods need to build graphs to model correlation of linking decisions between different mentions. In this paper, we propose three ...
- ArticleNovember 2023
MHGCL: Multi-scale Meta-path Integrated Heterogeneous Graph Contrastive Learning
- research-articleAugust 2023
Long live the honey badger: robust asynchronous DPSS and its applications
SEC '23: Proceedings of the 32nd USENIX Conference on Security SymposiumArticle No.: 303, Pages 5413–5430Secret sharing is an essential tool for many distributed applications, including distributed key generation and multiparty computation. For many practical applications, we would like to tolerate network churn, meaning participants can dynamically enter ...