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检索条件"机构=Provincial Key Laboratory of Computer Information Processing Technology"
5928 条 记 录,以下是121-130 订阅
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Evolving Effective Drug Therapies with Multi-objective Genetic Algorithm  16th
Evolving Effective Drug Therapies with Multi-objective Genet...
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16th International Conference on Genetic and Evolutionary Computing, ICGEC 2024
作者: Zhang, Tiancong Weng, Shaowei Chu, Shu-Chuan Nguyen, Trong-The Dao, Thi-Kien School of Computing and Information Science Fuzhou Institute of Technology Fuzhou350506 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou350118 China College of Computer Science and Engineering Shandong University of Science and Technology Qing-dao266590 China University of Information Technology Ho Chi Minh City700000 Viet Nam
The development of effective drug therapies is a complex and multifaceted problem involving various biological, chemical, and computational challenges. Traditional drug development methods are often time-consuming and... 详细信息
来源: 评论
SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling
SPRGAN: Streamlined Progressive Refinement for Adversarial P...
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2025 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Zhang, Zhiyong Liu, Ruyu Wang, Chaochao Zhang, Xianchao Zhang, Jianhua Liu, Xiufeng School of Computer Science and Engineering Tianjin University of Technology Tianjin China School of Information Science and Technology Hangzhou Normal University Hangzhou China Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems Jiaxing University Zhejiang China Department of Technology Management and Economics Technical University of Denmark Lyngby Denmark
Getting dense, uniform, time-series point cloud data is critical for effective rendering. However, due to the limited computational power of edge devices, existing methods cannot achieve real-time results, which affec... 详细信息
来源: 评论
ReHyGen: Relational hypergraph enhanced generative aspect sentiment triplet extraction
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Neurocomputing 2025年 639卷
作者: Lin, Zehong Chen, Weibo Xue, Yun Li, Fenghuan South China Normal University Guangdong Foshan528225 China Guangdong Provincial Key Laboratory of Intelligent Information Processing Guangdong Shenzhen518060 China School of Computer Science and Technology Guangdong University of Technology Guangdong Guangzhou510006 China
Aspect Sentiment Triplet Extraction (ASTE) has emerged as a pivotal task in sentiment analysis, focusing on extracting the aspect terms along with the corresponding opinion terms and the expressed sentiments. Recently... 详细信息
来源: 评论
An Efficient Threshold Ring Signature from G+G Identification Protocol  2nd
An Efficient Threshold Ring Signature from G+G Identificati...
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2nd International Conference on Data Security and Privacy Protection, DSPP 2024
作者: Wu, Chunhui Jiang, Siwei Zhang, Fangguo Du, Yusong Lin, Qiping School of Internet Finance and Information Engineering Guangdong University of Finance Guangzhou510521 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China Guangdong Provincial Key Laboratory of Information Security Technology Guangzhou510006 China Xingtang Telecommunication Technology Co. Ltd. Beijing100191 China
Threshold ring signature confirms that t signers are participating in the signature and keep them anonymous. It is a generalization of ring signature, and has many important applications such as whistleblower, e-votin... 详细信息
来源: 评论
HiRes: Hierarchical Feature Optimization and Rescorer for Automatic ICD Coding
HiRes: Hierarchical Feature Optimization and Rescorer for Au...
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2025 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Liang, Zhenpeng Guan, Hongjiao Lu, Wenpeng Peng, Xueping Xu, Bing Yang, Muyun Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China Australian Artificial Intelligence Institute University of Technology Sydney Sydney Australia Faculty of Computing Harbin Institute of Technology Harbin China
The International Classification of Diseases (ICD) coding assigns standardized codes to diseases. Automating this process enhances the efficiency and accuracy of clinical records processing. However, current methods s... 详细信息
来源: 评论
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论
Big-Moe: Bypassing Isolated Gating For Generalized Multimodal Face Anti-Spoofing
Big-Moe: Bypassing Isolated Gating For Generalized Multimoda...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Yingjie Ma Zitong Yu Xun Lin Weicheng Xie Linlin Shen College of Computer Science and Software Engineering Shenzhen University Great Bay University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing
In the domain of facial recognition security, multimodal Face Anti-Spoofing (FAS) is essential for countering presentation attacks. However, existing technologies encounter challenges due to modality biases and imbala... 详细信息
来源: 评论
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
arXiv
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arXiv 2025年
作者: Pan, Linchao Gao, Can Zhou, Jie Wang, Jinbao College of Computer Science and Software Engineering Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China
Learning with Noisy Labels (LNL) aims to improve the model generalization when facing data with noisy labels, and existing methods generally assume that noisy labels come from known classes, called closed-set noise. H... 详细信息
来源: 评论
FDAIMC: A Fully-Differential Analog In-Memory-Computing for MAC in MRAM with Accuracy Calibration Under Process and Voltage Variation
FDAIMC: A Fully-Differential Analog In-Memory-Computing for ...
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Design, Automation and Test in Europe Conference and Exhibition
作者: Xiangyu Li Weichong Chen Ruida Hong Jinghai Wang Ningyuan Yin Zhiyi Yu School of Microelectronics Science and Technology Sun Yat-sen University China Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems China
Analog in-memory-computing (AIMC) is adopted extensively in non-volatile memory for multibit multiply-and-accumulate (MAC) operation. However, the low-on/off-ratio feature of magnetic tunnel junction (MTJ) impedes a h... 详细信息
来源: 评论
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
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IEEE Transactions on Cognitive Communications and Networking 2025年
作者: Tian, Zhuojun Zhang, Zhaoyang Li, Yiwei Bennis, Mehdi Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Oulu Center for Wireless Communications Oulu90014 Finland State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multimodal Communication Networks and Intelligent Information Processing Hangzhou310027 China Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing Xiamen361024 China
To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we propose a distributed strong lottery ticket hypothesis (DSLTH), based on which a communication-efficient personalized learn... 详细信息
来源: 评论