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检索条件"机构=National Engineering Laboratory for Big Data System Computing Technology"
821 条 记 录,以下是181-190 订阅
排序:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing systems  39
AFaVS: Accurate Yet Fast Version Switching for Graph Process...
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39th IEEE International Conference on data engineering, ICDE 2023
作者: Zheng, Long Ye, Xiangyu Liu, Haifeng Wang, Qinggang Huang, Yu Gui, Chuangyi Yao, Pengcheng Liao, Xiaofei Jin, Hai Xue, Jingling Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Laboratory Wuhan430074 China Zhejiang Lab Hangzhou311121 China Unsw School of Computer Science and Engineering Sydney Australia
Multi-version graph processing has been widely used to solve many real-world problems. The process of the multi-version graph processing typically includes: (1) a history graph version switching at a specific time and... 详细信息
来源: 评论
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]  40
Matching Knowledge Graphs in Entity Embedding Spaces: An Exp...
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40th IEEE International Conference on data engineering, ICDE 2024
作者: Zeng, Weixin Zhao, Xiang Tan, Zhen Tang, Jiuyang Cheng, Xueqi National University of Defense Technology Laboratory for Big Data and Decision China National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory China Institute of Computing Technology CAS China
Entity alignment (EA) identifies equivalent entities that locate in different knowledge graphs (KGs), and has attracted growing research interests over the last few years with the advancement of KG embedding technique... 详细信息
来源: 评论
Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing  24
Towards Redundancy-Free Recommendation Model Training via Re...
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61st ACM/IEEE Design Automation Conference, DAC 2024
作者: Liu, Haifeng Zheng, Long Huang, Yu Huang, Haoyan Liao, Xiaofei Hai, Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China
The memory-intensive embedding layer in recommendation model continues to be the performance bottleneck. While prior works have attempted to improve the embedding layer performance by exploiting the data locality to c... 详细信息
来源: 评论
Partitioning large-scale property graph for efficient distributed query processing  21
Partitioning large-scale property graph for efficient distri...
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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and systems, HPCC/SmartCity/DSS 2019
作者: Pang, Haohan Gan, Peng Yuan, Pingpeng Jin, Hai Hua, Qiangsheng National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab. Clusters and Grid Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Recently, many communities have published their domain knowledge in the form of graphs. A significant trend is that the relations between pairs of nodes in the graph have become so complex that these data can be treat... 详细信息
来源: 评论
GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning  15th
GradSA: Gradient Sparsification and Accumulation for Communi...
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15th International Conference on Green, Pervasive, and Cloud computing, GPC 2020
作者: Liu, Bo Jiang, Wenbin Zhao, Shaofeng Jin, Hai He, Bingsheng National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Huazhong University of Science and Technology Wuhan China Library Henan University of Economics and Law Zhengzhou China Department of Computer Science School of Computing National University of Singapore Singapore Singapore
Large-scale distributed deep learning is of great importance in various applications. For distributed training, the inter-node gradient communication often becomes the performance bottleneck. Gradient sparsification h... 详细信息
来源: 评论
Multimodal Emotional Talking Face Generation based on Action Units
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IEEE Transactions on Circuits and systems for Video technology 2024年 第5期35卷 4026-4038页
作者: Lyu, Jiayi Lan, Xing Hu, Guohong Jiang, Hanyu Gan, Wei Wang, Jinbao Xue, Jian University of Chinese Academy of Sciences School of Engineering Science Beijing100049 China Peng Cheng Laboratory Shenzhen518055 China Shenzhen University National Engineering Laboratory for Big Data System Computing Shenzhen518060 China Guangdong Provincial Key Laboratory of Intelligent Information Processing Shenzhen518060 China
Talking face generation focuses on creating natural facial animations that align with the provided text or audio input. Current methods in this field primarily rely on facial landmarks to convey emotional changes. How... 详细信息
来源: 评论
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models  41
Intersecting-Boundary-Sensitive Fingerprinting for Tampering...
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41st International Conference on Machine Learning, ICML 2024
作者: Bai, Xiaofan He, Chaoxiang Ma, Xiaojing Zhu, Bin Benjamin Jin, Hai School of Cyber Science and Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Microsoft United States School of Computer Science and Technology Huazhong University of Science and Technology China Cluster and Grid Computing Lab China
Cloud-based AI services offer numerous benefits but also introduce vulnerabilities, allowing for tampering with deployed DNN models, ranging from injecting malicious behaviors to reducing computing resources. Fingerpr... 详细信息
来源: 评论
Can Language Models Serve as Temporal Knowledge Bases?
Can Language Models Serve as Temporal Knowledge Bases?
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2022 Findings of the Association for Computational Linguistics: EMNLP 2022
作者: Zhao, Ruilin Zhao, Feng Xu, Guandong Zhang, Sixiao Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Data Science and Machine Intelligence Lab University of Technology Sydney Sydney Australia
Recent progress regarding the use of language models (LMs) as knowledge bases (KBs) has shown that language models can act as structured knowledge bases for storing relational facts. However, most existing works only ... 详细信息
来源: 评论
IBATree: A Novel Method for Interpretable Cancer Cell Diagnosis Using Information Bottleneck Attribution
IBATree: A Novel Method for Interpretable Cancer Cell Diagno...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Raza, Muhammad Umair Chen, Jie Nawaz, Adil Saeed, Faisal Leung, Victor C.M. Li, Jianqiang Wang, Zhaoxia Shenzhen University College of Computer Science and Software Engineering China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology China Shenzhen Children's Hospital Department of Gastroenterology China
Deep Neural Networks (DNNs) have demonstrated remarkable performance in classification and regression tasks on RGB-based pathological inputs. The network's prediction mechanism must be interpretable to establish t... 详细信息
来源: 评论
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition
RSP-gcForest: A Distributed Deep Forest via Random Sample Pa...
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2023 IEEE International Conference on big data, bigdata 2023
作者: Li, Mark Junjie Cai, Wenzhu Lin, Yigang Huang, Sunjie Huang, Joshua Zhexue Peng, Patrick Xiaogang Shenzhen University College of Computer Science and Software Engineering Shenzhen China Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China Shenzhen Academy of Inspection and Quarantine China
Deep Forest, a powerful alternative to deep neural networks, has gained much attention due to its advantages, such as low complexity, minimal hyperparameter requirements, and strong application performance. In the cur... 详细信息
来源: 评论