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检索条件"机构=Graduate Program in Electronic and Computer Engineering"
150 条 记 录,以下是81-90 订阅
排序:
A Multi-phase Deep Learning Approach for Predicting HCC Response to TACE using Complete Computed Tomography
A Multi-phase Deep Learning Approach for Predicting HCC Resp...
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Data Science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on
作者: Shun Cheng Chang Chien Fu Liu Marta Misztal Yi Hsien Hsieh Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taiwan School of Electronic Engineering and Computer Science Queen Mary University of London UK Department of Electrical Engineering NTU Taiwan Center for Computational and Systems Biology and Center for Biotechnology NTU Taiwan Smart Medicine and Health Informatics Program NTU Taiwan
In this research study, we compare the predictive performance of two advanced deep learning-based models in order to provide a solution to TACE (Transarterial Chemoembolization) response prediction in HCC (Hepatocellu...
来源: 评论
Deep peak property learning for efficient chiral molecules ECD spectra prediction
arXiv
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arXiv 2024年
作者: Li, Hao Long, Da Yuan, Li Tian, Yonghong Wang, Xinchang Mo, Fanyang School of Electronic and Computer Engineering Peking University Shenzhen China -Preferred Program Peking University Shenzhen Graduate School Shenzhen China College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China Peng Cheng Laboratory Shenzhen China School of Materials Science and Engineering Peking University Beijing China
Chiral molecule assignation is crucial for asymmetric catalysis, functional materials, and the drug industry. The conventional approach requires theoretical calculations of electronic circular dichroism (ECD) spectra,... 详细信息
来源: 评论
Vision-based Semantic Communications for Metaverse Services: A Contest Theoretic Approach
Vision-based Semantic Communications for Metaverse Services:...
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IEEE Conference on Global Communications (GLOBECOM)
作者: Guangyuan Liu Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong Boon Hee Soong Energy Research Institute@NTU Interdisciplinary Graduate Program School of Computer Science and Engineering Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Department of Electrical and Electronic Engineering Nanyang Technological University Singapore
The popularity of Metaverse as an entertainment, social, and work platform has led to a great need for seamless avatar integration in the virtual world. In Metaverse, avatars must be updated and rendered to reflect us...
来源: 评论
Multiscale Numerical Modeling for Near-Field Microwave Impedance Microscopy
Multiscale Numerical Modeling for Near-Field Microwave Imped...
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Conference on Lasers and Electro-Optics (CLEO)
作者: Diego Tami Douglas A. A. Ohlberg Jhonattan C. Ramirez Cássio Gonçalves Do Rego Gilberto Medeiros-Ribeiro Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Brazil Microscopy Center Universidade Federal de Minas Gerais Brazil Department of Electronic Engineering Universidade Federal de Minas Gerais Brazil Computer Science Department Universidade Federal de Minas Gerais Brazil
In this work, we analyzed numerically a multiscale nanosystem based on sMIM on TBG. Spontaneous formation of a water-meniscus by the approximation between the tip-sample concentrates the microwave fields, reaching res... 详细信息
来源: 评论
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
arXiv
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arXiv 2023年
作者: Jin, Peng Huang, Jinfa Xiong, Pengfei Tian, Shangxuan Liu, Chang Ji, Xiangyang Yuan, Li Chen, Jie School of Electronic and Computer Engineering Peking University Shenzhen China Peng Cheng Laboratory Shenzhen China -Preferred Program Peking University Shenzhen Graduate School Shenzhen China Shopee Shenzhen China Department of Automation BNRist Tsinghua University Beijing China
Contrastive learning-based video-language representation learning approaches, e.g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined video-text pairs. To clarify this coa... 详细信息
来源: 评论
Time Series Mining Approach for Noninvasive Intracranial Pressure Assessment: An Investigation of Different Regularization Techniques
Time Series Mining Approach for Noninvasive Intracranial Pre...
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computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED
作者: Shaozhi Wu Peng Xu Shadnaz Asgari Marvin Bergsneider Xiao Hu Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles USA Neural Systems and Dynamics Laboratory Department of Neurosurgery the David Geffen School of Medicine University of California Los Angeles USA School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China
A data mining framework has been proposed to estimate intracranial pressure (ICP) non-invasively in our previous work. In the corresponding approach, the feature vector extracted from arterial blood pressure (ABP) and... 详细信息
来源: 评论
Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
arXiv
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arXiv 2023年
作者: Du, Hongyang Li, Zonghang Niyato, Dusit Kang, Jiawen Xiong, Zehui Shen, Xuemin Kim, Dong In The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Information and Communication Engineering University of Electronic Sciences and Technology of China Chengdu China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Computer Engineering University of Waterloo Canada The Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of
Artificial Intelligence-Generated Content (AIGC) refers to the use of AI to automate the information creation process while fulfilling the personalized requirements of users. However, due to the instability of AIGC mo... 详细信息
来源: 评论
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Out-of-Candidate Rectification for Weakly Supervised Semanti...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Zesen Cheng Pengchong Qiao Kehan Li Siheng Li Pengxu Wei Xiangyang Ji Li Yuan Chang Liu Jie Chen School of Electronic and Computer Engineering Peking University Shenzhen China AI for Science (AI4S)-Preferred Program Peking University Shenzhen Graduate School China Peng Cheng Laboratory Shenzhen China Tsinghua University Sun Yat-Sen University
Weakly supervised semantic segmentation is typically inspired by class activation maps, which serve as pseudo masks with class-discriminative regions highlighted. Although tremendous efforts have been made to recall p...
来源: 评论
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
arXiv
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arXiv 2022年
作者: Li, Kehan Wang, Zhennan Cheng, Zesen Yu, Runyi Zhao, Yian Song, Guoli Liu, Chang Yuan, Li Chen, Jie School of Electronic and Computer Engineering Peking University Shenzhen China Peng Cheng Laboratory Shenzhen China -Preferred Program Peking University Shenzhen Graduate School Shenzhen China Department of Automation BNRist Tsinghua University Beijing China Dalian University of Technology China
Recently, self-supervised large-scale visual pre-training models have shown great promise in representing pixellevel semantic relationships, significantly promoting the development of unsupervised dense prediction tas... 详细信息
来源: 评论
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
arXiv
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arXiv 2022年
作者: Jin, Peng Huang, Jinfa Liu, Fenglin Wu, Xian Ge, Shen Song, Guoli Clifton, David A. Chen, Jie School of Electronic and Computer Engineering Peking University China Peng Cheng Laboratory Shenzhen China -Preferred Program Peking University Shenzhen Graduate School China Department of Engineering Science University of Oxford United Kingdom Tencent JARVIS Lab China Oxford-Suzhou Centre for Advanced Research Suzhou China
Most video-and-language representation learning approaches employ contrastive learning, e.g., CLIP [53], to project the video and text features into a common latent space according to the semantic similarities of text... 详细信息
来源: 评论