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检索条件"机构=Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education"
3314 条 记 录,以下是151-160 订阅
Any-Angle Routing Algorithm for Microfluidic Biochips Driven by Flow Path
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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2025年 第4期62卷 978-988页
作者: Youlin, Pan Shuai, Guo Xing, Huang Genggeng, Liu College of Computer and Data Science Fuzhou University Fuzhou350116 China Engineering Research Center of Big Data Intelligence Fuzhou University Ministry of Education Fuzhou350116 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China School of Computer Science Northwestern Polytechnical University Xi’an710072 China
Continuous-flow microfluidic biochips (CFMBs) have become a hot research topic in recent years due to their ability to perform biochemical assays automatically and efficiently. For the first time, PathDriver+ takes th... 详细信息
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PEJA:Progressive Energy-Efficient Join Processing for Sensor Networks
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Journal of Computer Science & Technology 2008年 第6期23卷 957-972页
作者: 赖永炫 陈毅隆 陈红 School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education
Sensor networks are widely used in many applications to collaboratively collect information from the physical environment. In these applications, the exploration of the relationship and linkage of sensing data within ... 详细信息
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Control Logic Routing for Continuous-Flow Microfluidic Biochips Based on Deep Reinforcement Learning
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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2025年 第4期62卷 950-962页
作者: Cai, Huayang Huang, Xing Liu, Genggeng College of Computer and Data Science Fuzhou University Fuzhou350116 China Engineering Research Center of Big Data Intelligence Fuzhou University Ministry of Education Fuzhou350116 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China School of Computer Science Northwestern Polytechnical University Xi’an710072 China
With the advancement of electronic design automation, continuous-flow microfluidic biochips have become one of the most promising platforms for biochemical experiments. This chip manipulates fluid samples in millilite... 详细信息
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Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
arXiv
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arXiv 2025年
作者: Wang, Yaxian Ding, Henghui He, Shuting Jiang, Xudong Wei, Bifan Liu, Jun School of Computer Science and Technology Xi'an Jiaotong University China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi'an Jiaotong University China Institute of Big Data Fudan University China Shanghai University of Finance and Economics China Nanyang Technological University Singapore School of Continuing Education Xi'an Jiaotong University China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University China
In this work, we address the challenging task of Generalized Referring Expression Comprehension (GREC). Compared to the classic Referring Expression Comprehension (REC) that focuses on single-target expressions, GREC ... 详细信息
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Causality-inspired Unsupervised Domain Adaptation with Target Style Imitation for Medical Image Segmentation
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Song, Jincai Chen, Haipeng Lyu, Yingda Nie, Weizhi Liu, An-An Jilin University College of Computer Science and Technology Jilin Changchun130012 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin Changchun130012 China Jilin University Public Computer Education and Research Center Jilin Changchun130012 China Tianjin University School of Electrical and Information Engineering Tianjin300072 China
Deep learning performance may decrease substantially with unseen heterogeneous data. While most unsupervised domain adaptation (UDA) methods seek to address this through image alignment, they often ignore uncertainty ... 详细信息
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Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
arXiv
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arXiv 2025年
作者: Hao, Pingting Liu, Kunpeng Gao, Wanfu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Department of Computer Science Portland State University PortlandOR97201 United States
In recent years, multi-view multi-label learning (MVML) has gained popularity due to its close resemblance to real-world scenarios. However, the challenge of selecting informative features to ensure both performance a... 详细信息
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A neural kernel framework for relation extraction
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Expert Systems with Applications 2025年 286卷
作者: Wang, Kai Chen, Yanping Yang, Weizhe Huang, Ruizhang Qin, Yongbin Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry College of Computer Science and Technology Guizhou University China State Key Laboratory of Public Big Data Guizhou University China
Relation extraction (RE) poses significant challenges due to the complexity of identifying semantic relationships between overlapping entity pairs within sentences. Traditional kernel-based methods effectively leverag... 详细信息
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CorcPUM: Efficient Processing Using Cross-Point Memory via Cooperative Row-Column Access Pipelining and Adaptive Timing Optimization in Subarrays  23
CorcPUM: Efficient Processing Using Cross-Point Memory via C...
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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference
作者: Chengning Wang Dan Feng Wei Tong Jingning Liu Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Ministry of Education of China (School of Computer Science and Technology Huazhong University of Science and Technology) Wuhan China
Emerging cross-point memory can in-situ perform vector-matrix multiplication (VMM) for energy-efficient scientific computation. However, parasitic-capacitance-induced row charging and discharging latency is a major pe...
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T-SNVAE: Deep probabilistic learning with local and global structure for industrial process monitoring
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第6期6卷 1603-1613页
作者: Huang, Jian Liu, Zizhuo Yang, Xu Liu, Yupeng Lv, Zhaomin Peng, Kaixiang Ersoy, Okan K. University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering China University of Science and Technology Beijing Shunde Innovation School Foshan China Shanghai University of Engineering Science School of Urban Railway Transportation China Purdue University Electrical and Computer Engineering West Lafayette United States
Variational autoencoder is a generative deep learning model with a probabilistic structure, which makes it tolerant to process uncertainties and more suitable for process monitoring. However, the probabilistic model m... 详细信息
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Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
arXiv
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arXiv 2025年
作者: Pan, Hanlin Liu, Kunpeng Gao, Wanfu College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Department of Computer Science Portland State University PortlandOR97201 United States
The purpose of partial multi-label feature selection is to select the most representative feature subset, where the data comes from partial multi-label datasets that have label ambiguity issues. For label disambiguati... 详细信息
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