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- research-articleOctober 2024
Research and Design of PID Control System Based on BP Neural Network
AIAHPC '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance ComputingPages 320–324https://doi.org/10.1145/3690931.3690985As a widely adopted control strategy in industry, PID control is widely recognized for its simplicity, efficiency and reliability. However, in the face of complex and variable nonlinear industrial control systems, traditional PID controllers have many ...
- research-articleJune 2024
An Enhanced Combinatorial Contextual Neural Bandit Approach for Client Selection in Federated Learning
EICC '24: Proceedings of the 2024 European Interdisciplinary Cybersecurity ConferencePages 171–178https://doi.org/10.1145/3655693.3660252In the evolving landscape of machine learning (ML), federated learning (FL) stands out as an innovative strategy for training models across dispersed devices without centralizing raw data. Such an approach, however, grapples with data heterogeneity ...
- research-articleJune 2024
DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media
Journal of Information Science (JIPP), Volume 50, Issue 3Pages 590–606https://doi.org/10.1177/01655515221100728With the progress of the Internet and information technology, emotion analysis has been applied to analyse the emotional orientation and evolution trend of online public opinion of online tweets. At present, most of the existing methods use econometric ...
- research-articleAugust 2024
Characteristic Elements Detection of Tangka Based on Improved YOLOv7
ICCMT '24: Proceedings of the 2024 International Conference on Computer and Multimedia TechnologyPages 388–394https://doi.org/10.1145/3675249.3675317Aiming at the problems of difficulty in classifying and locating characteristic elements in iconographic Tangkas and the low detection accuracy of traditional methods, an automatic detection system of Tangka features is proposed based on YOLOv7. Firstly, ...
- research-articleMay 2024
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback
WWW '24: Proceedings of the ACM Web Conference 2024Pages 1374–1385https://doi.org/10.1145/3589334.3645365In the rapidly evolving landscape of information retrieval, search engines strive to provide more personalized and relevant results to users. Query suggestion systems play a crucial role in achieving this goal by assisting users in formulating effective ...
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- research-articleAugust 2024
IoT and AI Applied in Engineering Education
ICMAI '24: Proceedings of the 2024 9th International Conference on Mathematics and Artificial IntelligencePages 109–114https://doi.org/10.1145/3670085.3670092Though the interest in learning IoT and AI involved in industry 4.0 is dramatically increasing in recent years, many universities have not integrated those up-to-date technologies and applications in engineering education. In this research, many aspects ...
- research-articleAugust 2024
The Design of the aeronautical satellite image and video emergent transmission system based on interference mitigation for artificial strong jamming and channel multiple fading
ASENS '24: Proceedings of the International Conference on Algorithms, Software Engineering, and Network SecurityPages 537–541https://doi.org/10.1145/3677182.3677277The uncertainty of time and place is the characteristics of taking place of the emergent incidents in the land or sea. The aeronautical satellite image and video emergent transmission system has the characteristics of high speed in motion and wider ...
- research-articleAugust 2024
Application and Analysis of Intelligent Steel Bar Centralized Processing and Management in Construction Project
MSIE '24: Proceedings of the 2024 6th International Conference on Management Science and Industrial EngineeringPages 238–243https://doi.org/10.1145/3664968.3665018The construction industry is progressing towards standardization, intellectualization, and industrialization, aiming to enhance construction efficiency and management levels by applying information technology to reduce labor and mechanized processes. ...
- research-articleMarch 2024
One2ThreeNet: An Automatic Microscale-Based Modulation Recognition Method for Underwater Acoustic Communication Systems
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 8_Part_2Pages 10287–10300https://doi.org/10.1109/TWC.2024.3371226Automatic modulation recognition (AMR) technology enables receivers to automatically recognize the modulation type of the received signal for correct demodulation of the received data, but there are still many shortcomings to be addressed. To achieve ...
- research-articleJanuary 2024
On Secrecy Performance of RIS-Assisted MISO Systems Over Rician Channels With Spatially Random Eavesdroppers
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 8_Part_1Pages 8357–8371https://doi.org/10.1109/TWC.2023.3348591Reconfigurable intelligent surface (RIS) technology is emerging as a promising technique for performance enhancement for next-generation wireless networks. This paper investigates the physical layer security of an RIS-assisted multiple-antenna ...
- research-articleJanuary 2024
PAMI: Partition Input and Aggregate Outputs for Model Interpretation
AbstractThere is an increasing demand for interpretation of model predictions especially in high-risk applications. Various visualization approaches have been proposed to estimate the part of input which is relevant to a specific model prediction. ...
Highlights- Propose a novel yet simple framework PAMI to visually interpret model predictions.
- PAMI does not require any model structure and parameter details.
- PAMI can be applied to multiple tasks with various model backbones and input ...
- research-articleApril 2024
Privacy-preserving Trajectory Data Release Hierarchical Model
ICCNS '23: Proceedings of the 2023 13th International Conference on Communication and Network SecurityPages 94–99https://doi.org/10.1145/3638782.3638797The development of positioning technology and mobile intelligent devices has given rise to plentiful location-based services and generated much trajectory data. The publication and analysis of trajectory data bring convenience to users, but also carry ...
- research-articleJanuary 2024
Local Adversarial Attacks for Understanding Model Decisions
AAIA '23: Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and ApplicationsPages 10–14https://doi.org/10.1145/3603273.3630044Recently, deep learning models have demonstrated outstanding performance, but the lack of interpretability makes it difficult to apply them to high-risk tasks. Many existing post-hoc explanation methods have been proposed to explain specific model ...
- research-articleNovember 2023
A 6–18-GHz 6-bit Full-360° Vector-Sum Phase Shifter With Low Error in 40-nm CMOS
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (ITVL), Volume 32, Issue 3Pages 530–541https://doi.org/10.1109/TVLSI.2023.3331508A 6–18-GHz ultrawideband vector-sum phase shifter (PS) with 6-bit digital phase control for phased-array system in SMIC 40-nm CMOS process is presented in this article. Combination of two inserted balanced buffers, elaborately optimized RC third-...
- research-articleNovember 2023
Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA
- Zhijie Yang,
- Lei Wang,
- Wei Shi,
- Yao Wang,
- Junbo Tie,
- Feng Wang,
- Xiang Yu,
- Linghui Peng,
- Chao Xiao,
- Xun Xiao,
- Yao Yao,
- Gan Zhou,
- Xuhu Yu,
- Rui Gong,
- Xia Zhao,
- Yuhua Tang,
- Weixia Xu
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 34, Issue 11Pages 2910–2927https://doi.org/10.1109/TPDS.2023.3307408In recent years, neuromorphic processors are widely used in many scenarios, showing extreme energy efficiency over traditional architectures. However, almost all existing neuromorphic hardware are following the heterogeneous computing methodology without ...
- research-articleOctober 2023
Fashion-GPT: Integrating LLMs with Fashion Retrieval System
LGM3A '23: Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal ApplicationsPages 69–78https://doi.org/10.1145/3607827.3616844Customers on a fashion e-commerce platform although expressing their clothing preferences through combined imagery and textual information, they are limited to retrieve with single-round fixed inputs. At the same time, large language models (LLMs) have ...
- research-articleOctober 2023
ImEW: A Framework for Editing Image in the Wild
LGM3A '23: Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal ApplicationsPages 34–44https://doi.org/10.1145/3607827.3616840The ability to edit images in a realistic and visually appealing manner is a fundamental requirement in various computer vision applications. In this paper, we present ImEW, a unified framework designed for solving image editing tasks. ImEW utilizes off-...
- research-articleOctober 2023
SAT: Self-Attention Control for Diffusion Models Training
LGM3A '23: Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal ApplicationsPages 15–22https://doi.org/10.1145/3607827.3616838Recent text-to-image diffusion models show outstanding performance in generating high-quality images conditioned on textual prompts. However, a persistent challenge lies in the generation of detailed images, especially human-related images, which often ...
- proceedingOctober 2023
LGM3A '23: Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications
On behalf of the organizing committee, it is our distinct pleasure to extend a warm welcome to the LGM3A Workshop. As Chairs of this conference, we are delighted to bring together a community of scholars, researchers, and professionals from diverse ...
- abstractOctober 2023
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications
MM '23: Proceedings of the 31st ACM International Conference on MultimediaPages 9744–9745https://doi.org/10.1145/3581783.3610953A large language model is a type of artificial intelligence model designed to understand and generate natural language text, such as GPT, T5, RoBERTa, BERT, etc. These models are trained on vast amounts of text data, allowing them to learn the patterns ...