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检索条件"机构=Key Laboratory of Intelligent Computing in Medical Image MIIC"
246 条 记 录,以下是1-10 订阅
排序:
An Abnormal Audio Generation Method for Fault Diagnosis of Power Transformers
An Abnormal Audio Generation Method for Fault Diagnosis of P...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Niu, Ben Wei, Yangjie Zhang, Ke Yu, Zhuoran Key Laboratory of Intelligent Computing in Medical Image Northeastern University Shenyang China
Existing deep learning-based models can achieve a prompt diagnosis of operational anomalies by analyzing the audios emitted from power transformers. However, the practical abnormal data are insufficient for model trai... 详细信息
来源: 评论
RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback  31
RRHF-V: Ranking Responses to Mitigate Hallucinations in Mult...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Chen, Guoqing Zhang, Fu Lin, Jinghao Lu, Chenglong Cheng, Jingwei School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Multimodal large language models (MLLMs) demonstrate strong capabilities in multimodal understanding, reasoning, and interaction but still face the fundamental limitation of hallucinations, where they generate erroneo... 详细信息
来源: 评论
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction  31
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Re...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Li, Zehan Zhang, Fu Lyu, Kailun Cheng, Jingwei Peng, Tianyue School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Zero-shot Relation Triplet Extraction (ZSRTE) aims to extract triplets from the context where the relation patterns are unseen during training. Due to the inherent challenges of the ZSRTE task, existing extractive ZSR... 详细信息
来源: 评论
SGMEA: Structure-Guided Multimodal Entity Alignment  31
SGMEA: Structure-Guided Multimodal Entity Alignment
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31st International Conference on Computational Linguistics, COLING 2025
作者: Cheng, Jingwei Guo, Mingxiao Zhang, Fu School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Multimodal Entity Alignment (MMEA) aims to identify equivalent entities across different multimodal knowledge graphs (MMKGs) by integrating structural information, entity attributes, and visual data, thereby promoting... 详细信息
来源: 评论
CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction  31
CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Sho...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Zhang, Fu Liu, He Li, Zehan Cheng, Jingwei School of Computer Science and Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Zero-shot Relation Extraction (ZSRE) aims to predict novel relations from sentences with given entity pairs, where the relations have not been encountered during training. Prototype-based methods, which achieve ZSRE b... 详细信息
来源: 评论
Speaker Extraction with Verification of Present and Absent Target Speakers
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Journal of Shanghai Jiaotong University (Science) 2025年 1-6页
作者: Zhang, Ke Borsdorf, Marvin Liu, Tianchi Wang, Shuai Wei, Yangjie Li, Haizhou Key Laboratory of Intelligent Computing in Medical Image Northeastern University Shenyang110819 China Shenzhen Guangdong518000 China Machine Listening Lab University of Bremen Bremen28359 Germany Department of Electrical and Computer Engineering National University of Singapore Singapore119077 Singapore
Target speaker extraction (TSE) models are expected to extract the target speech from a cocktail party mixture signal. When only trained with present target speaker samples (PT), these models output noise in the absen... 详细信息
来源: 评论
Online Queue-Aware Service Migration and Resource Allocation in Mobile Edge computing
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IEEE Transactions on Vehicular Technology 2025年 第5期74卷 8063-8078页
作者: Du, An Jia, Jie Chen, Jian Wang, Xingwei Huang, Ming Northeastern University School of Computer Science and Engineering Engineering Research Center of Security Technology of Complex Network System Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China Northeastern University School of Computer Science and Engineering Shenyang110819 China
Mobile edge computing (MEC) integrated with Network Functions Virtualization (NFV) helps run a wide range of services implemented by Virtual Network Functions (VNFs) deployed at MEC networks. This emerging paradigm of... 详细信息
来源: 评论
An Abnormal Audio Generation Method for Fault Diagnosis of Power Transformers
An Abnormal Audio Generation Method for Fault Diagnosis of P...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Ben Niu Yangjie Wei Ke Zhang Zhuoran Yu Key Laboratory of Intelligent Computing in Medical Image Northeastern University Shenyang China
Existing deep learning-based models can achieve a prompt diagnosis of operational anomalies by analyzing the audios emitted from power transformers. However, the practical abnormal data are insufficient for model trai... 详细信息
来源: 评论
DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation  31
DAEA: Enhancing Entity Alignment in Real-World Knowledge Gra...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Yang, Linyan Zhou, Shiqiao Cheng, Jingwei Zhang, Fu Wan, Jizheng Wang, Shou Lee, Mark School of Computer Science and Engineering Northeastern University China School of Computer Science University of Birmingham United Kingdom Key Laboratory of Intelligent Computing in Medical Image of Ministry of Education Northeastern University China
Entity Alignment (EA) is a critical task in Knowledge Graph (KG) integration, aimed at identifying and matching equivalent entities that represent the same real-world objects. While EA methods based on knowledge repre... 详细信息
来源: 评论
A Novel Construction of Two-Dimensional Z-Complementary Array Code Sets Based on Extended Boolean Functions
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IEEE Transactions on Vehicular Technology 2025年 第5期74卷 7821-7834页
作者: Tian, Liying Song, Xiaoshi Li, Yubo Zhang, Haijun Northeastern University School of Computer Science and Engineering Shenyang110819 China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110189 China Yanshan University School of Information Science and Engineering Qinhuangdao066004 China Hebei Key Laboratory of Information Transmission and Signal Processing Qinhuangdao066004 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China
Two-dimensional (2-D) array sets with good 2-D correlation properties have received considerable attention in wireless communication systems. This paper focuses on 2-D Z-complementary array code sets (ZCACSs), which h... 详细信息
来源: 评论