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142 results on '"Bao, Yubin"'

1. Construction Method of Textbook Knowledge Graph Based on Multimodal and Knowledge Distillation

Author

LIU Jun, LENG Fangling, WU Wangwang, BAO Yubin

Subjects
large language model, disciplinary knowledge graph, entity relationship extraction, multimodal named entity recognition, knowledge distillation, Electronic computers. Computer science, QA75.5-76.95
Abstract

In order to efficiently construct a multimodal subject knowledge graph in the field of education, a textbook text entity relationship extraction algorithm based on large model knowledge distillation and multi-model collaborative reasoning is proposed. During the model training phase, this paper uses a closed source model with 100 billion parameters to annotate text data and achieve implicit knowledge distillation. Then, this paper fine-tunes the domain data instructions for the open-source billion scale parameter model to enhance the instruction compliance ability of the entity relationship extraction task of the open-source model. In the model inference stage, the closed source model serves as the guiding model, and the open-source billion scale parameter model serves as the execution model. Experimental results show that knowledge distillation, multi-model collaboration, and domain data instruction fine-tuning are effective, significantly improving the effectiveness of textbook text entity relationship extraction tasks based on instruction prompts. A multimodal named entity recognition algorithm for textbook diagrams with explicit and implicit knowledge enhancement has been proposed. Firstly, this paper uses techniques such as image OCR (optical character recognition) and visual language modeling to extract textual information and global content description information from textbook diagrams. Then, by using explicit knowledge base retrieval and implicit LLM hint enhancement methods, auxiliary knowledge that may be associated with image title pairs is obtained. The knowledge obtained from explicit knowledge base and implicit LLM is further fused to form the final auxiliary knowledge. Finally, the auxiliary knowledge of the schematic diagram is combined with the schematic diagram title to achieve multimodal named entity recognition of the textbook schematic diagram title. Experimental results show that the algorithm is advanced and the interpretability of the algorithm is enhanced.

Published
2024
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2. Probery: A Probability-based Incomplete Query Optimization for Big Data

Author

Song, Jie, Zhang, Yichuan, Bao, Yubin, and Yu, Ge

Subjects
Computer Science - Databases, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Nowadays, query optimization has been highly concerned in big data management, especially in NoSQL databases. Approximate queries boost query performance by loss of accuracy, for example, sampling approaches trade off query completeness for efficiency. Different from them, we propose an uncertainty of query completeness, called Probability of query Completeness (PC for short). PC refers to the possibility that query results contain all satisfied records. For example PC=0.95, it guarantees that there are no more than 5 incomplete queries among 100 ones, but not guarantees how incomplete they are. We trade off PC for query performance, and experiments show that a small loss of PC doubles query performance. The proposed Probery (PROBability-based data quERY) adopts the uncertainty of query completeness to accelerate OLTP queries. This paper illustrates the data and probability models, the probability based data placement and query processing, and the Apache Drill-based implementation of Probery. In experiments, we first prove that the percentage of complete queries is larger than the given PC confidence for various cases, namely that the PC guarantee is validate. Then Probery is compared with Drill, Impala and Hive in terms of query performance. The results indicate that Drill-based Probery performs as fast as Drill with complete query, while averagely 1.8x, 1.3x and 1.6x faster than Drill, Impala and Hive with possible complete query, respectively., Comment: 15 pages under the review

Published
2019

6. Named Entity Recognition in Aircraft Design Field Based on Deep Learning

Author

Bao, Yubin, An, Yuanming, Cheng, Zhu, Jiao, Rimeng, Zhu, Chao, Leng, Fangling, Wang, Shuai, Wu, Ping, Yu, Ge, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Guojun, editor, Lin, Xuemin, editor, Hendler, James, editor, Song, Wei, editor, Xu, Zhuoming, editor, and Liu, Genggeng, editor

Published
2020
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7. An Optimized Object Detection Algorithm for Marine Remote Sensing Images.

Author

Ren, Yougui, Li, Jialu, Bao, Yubin, Zhao, Zhibin, and Yu, Ge

Subjects
OBJECT recognition (Computer vision), REMOTE sensing, DATA augmentation, FEATURE extraction, DEEP learning, DETECTION algorithms
Abstract

In order to address the challenge of the small-scale, small-target, and complex scenes often encountered in offshore remote sensing image datasets, this paper employs an interpolation method to achieve super-resolution-assisted target detection. This approach aligns with the logic of popular GANs and generative diffusion networks in terms of super-resolution but is more lightweight. Additionally, the image count is expanded fivefold by supplementing the dataset with DOTA and data augmentation techniques. Framework-wise, based on the Faster R-CNN model, the combination of a residual backbone network and pyramid balancing structure enables our model to adapt to the characteristics of small-target scenarios. Moreover, the attention mechanism, random anchor re-selection strategy, and the strategy of replacing quantization operations with bilinear interpolation further enhance the model's detection capability at a low cost. Ablation experiments and comparative experiments show that, with a simple backbone, the algorithm in this paper achieves a mAP of 71.2% on the dataset, an improvement in accuracy of about 10% compared to the Faster R-CNN algorithm. [ABSTRACT FROM AUTHOR]

Published
2024
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8. A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples.

Author

Leng, Fangling, Li, Fan, Lv, Wei, Bao, Yubin, Liu, Xiaofeng, Zhang, Tiancheng, and Yu, Ge

Subjects
GENERATIVE adversarial networks, DATA augmentation, SAMPLING methods, PROBLEM solving
Abstract

In order to solve the problems of the small capacity of structured data and uneven distribution among classes in machine learning tasks, a supervised generation method for structured data called WAGAN and a cyclic sampling method named SACS (Semi-supervised and Active-learning Cyclic Sampling), based on semi-supervised active learning, are proposed. The loss function and neural network structure are optimized, and the quantity and quality of the small sample set are enhanced. To enhance the reliability of generating pseudo-labels, a Semi-supervised Active learning Framework (SAF) is designed. This framework redistributes class labels to samples, which not only enhances the reliability of generated samples but also reduces the influence of noise and uncertainty on the generation of false labels. To mine the diversity information of generated samples, an uncertain sampling strategy based on spatial overlap is designed. This strategy incorporates the idea of spatial overlap and uses global and local sampling methods to calculate the information content of generated samples. Experimental results show that the proposed method performs better than other data enhancement methods on three different datasets. Compared to the original data, the average F 1 m a c r o value of the classification model is improved by 11.5%, 16.1%, and 19.6% relative to compared methods. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Determining the Topic Hashtags for Chinese Microblogs Based on 5W Model

Author

Zhao, Zhibin, Sun, Jiahong, Mao, Zhenyu, Feng, Shi, Bao, Yubin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Yu, editor, Yu, Ge, editor, Zhang, Yanyong, editor, Han, Zhu, editor, and Wang, Guoren, editor

Published
2016
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13. Efficient Graph Similarity Join with Scalable Prefix-Filtering Using MapReduce

Author

Pang, Jun, Gu, Yu, Xu, Jia, Bao, Yubin, Yu, Ge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Li, Feifei, editor, Li, Guoliang, editor, Hwang, Seung-won, editor, Yao, Bin, editor, and Zhang, Zhenjie, editor

Published
2014
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14. Label and Distance-Constraint Reachability Queries in Uncertain Graphs

Author

Chen, Minghan, Gu, Yu, Bao, Yubin, Yu, Ge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bhowmick, Sourav S., editor, Dyreson, Curtis E., editor, Jensen, Christian S., editor, Lee, Mong Li, editor, Muliantara, Agus, editor, and Thalheim, Bernhard, editor

Published
2014
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17. BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture

Author

Bao, Yubin, Wang, Zhigang, Gu, Yu, Yu, Ge, Leng, Fangling, Zhang, Hongxu, Chen, Bairen, Deng, Chao, Guo, Leitao, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Hong, Bonghee, editor, Meng, Xiaofeng, editor, Chen, Lei, editor, Winiwarter, Werner, editor, and Song, Wei, editor

Published
2013
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18. Introducing SaaS Capabilities to Existing Web-Based Applications Automatically

Author

Song, Jie, Yan, Zhenxing, Han, Feng, Bao, Yubin, Zhu, Zhiliang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sheng, Quan Z., editor, Wang, Guoren, editor, Jensen, Christian S., editor, and Xu, Guandong, editor

Published
2012
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19. Scalable Complex Event Processing on Top of MapReduce

Author

Yang, Jiaxue, Gu, Yu, Bao, Yubin, Yu, Ge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sheng, Quan Z., editor, Wang, Guoren, editor, Jensen, Christian S., editor, and Xu, Guandong, editor

Published
2012
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20. Requirement-Based Query and Update Scheduling in Real-Time Data Warehouses

Author

Leng, Fangling, Bao, Yubin, Yu, Ge, Shi, Jingang, Cai, Xiaoyan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Wang, Haixun, editor, Li, Shijun, editor, Oyama, Satoshi, editor, Hu, Xiaohua, editor, and Qian, Tieyun, editor

Published
2011
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21. A Multilevel and Domain-Independent Duplicate Detection Model for Scientific Database

Author

Song, Jie, Bao, Yubin, Yu, Ge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chen, Lei, editor, Tang, Changjie, editor, Yang, Jun, editor, and Gao, Yunjun, editor

Published
2010
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22. A Clustered Dwarf Structure to Speed Up Queries on Data Cubes

Author

Leng, Fangling, Bao, Yubin, Wang, Daling, Yu, Ge, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Song, Il Yeal, editor, Eder, Johann, editor, and Nguyen, Tho Manh, editor

Published
2007
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23. Mining Purpose-Based Authorization Strategies in Database System

Author

Song, Jie, Wang, Daling, Bao, Yubin, Yu, Ge, Qi, Wen, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chang, Kevin Chen-Chuan, editor, Wang, Wei, editor, Chen, Lei, editor, Ellis, Clarence A., editor, Hsu, Ching-Hsien, editor, Tsoi, Ah Chung, editor, and Wang, Haixun, editor

Published
2007
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24. An Efficient Indexing Technique for Computing High Dimensional Data Cubes

Author

Leng, Fangling, Bao, Yubin, Yu, Ge, Wang, Daling, Liu, Yuntao, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yu, Jeffrey Xu, editor, Kitsuregawa, Masaru, editor, and Leong, Hong Va, editor

Published
2006
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25. An Optimized K-Means Algorithm of Reducing Cluster Intra-dissimilarity for Document Clustering

Author

Wang, Daling, Yu, Ge, Bao, Yubin, Zhang, Meng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fan, Wenfei, editor, Wu, Zhaohui, editor, and Yang, Jun, editor

Published
2005
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26. ESPClust: An Effective Skew Prevention Method for Model-Based Document Clustering

Author

Li, Xiaoguang, Yu, Ge, Wang, Daling, Bao, Yubin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Gelbukh, Alexander, editor

Published
2005
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27. Evaluating Document-to-Document Relevance Based on Document Language Model: Modeling, Implementation and Performance Evaluation

Author

Yu, Ge, Li, Xiaoguang, Bao, Yubin, Wang, Daling, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Gelbukh, Alexander, editor

Published
2005
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28. Performance Optimization of Fractal Dimension Based Feature Selection Algorithm

Author

Bao, Yubin, Yu, Ge, Sun, Huanliang, Wang, Daling, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Li, Qing, editor, Wang, Guoren, editor, and Feng, Ling, editor

Published
2004
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29. CD-Trees: An Efficient Index Structure for Outlier Detection

Author

Sun, Huanliang, Bao, Yubin, Zhao, Faxin, Yu, Ge, Wang, Daling, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Li, Qing, editor, Wang, Guoren, editor, and Feng, Ling, editor

Published
2004
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