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706 results on '"Xing, Chunxiao"'

1. Harnessing GPU Power for Enhanced OLTP: A Study in Concurrency Control Schemes

Author

Sun, Zihan, Zhang, Yong, Li, Chao, and Xing, Chunxiao

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

GPUs, whose performance has gone through a huge leap over the past decade, have proved their ability to accelerate Online Analytical Processing (OLAP) operations. On the other hand, there is still a huge gap in the field of GPU-accelerated Online Transaction Processing (OLTP) operations since it was generally believed that GPUswere not suitable for OLTP in the past. However, the massive parallelism and high memory bandwidth give GPUs the potential to process thousands of transactions concurrently. Among the components of OLTP systems, Concurrency Control (CC) schemes have a great impact on the performance of transaction processing and they may behave differently on GPUs because of the different hardware architectures between GPUs and CPUs. In this paper, we design and build the first test-bed gCCTB for CCschemes on GPUsandimplement eight CC schemes for gCCTB. These schemes include six common schemes previously designed for CPUs and two schemes designed for GPUs. Then we make a comprehensive evaluation of these CC schemes with YCSB and TPC-C benchmarks and a number of launch parameters on GPUs. The experience accumulated on our test-bed can assist researchers andengineers to design andimplementnewGPU-acceleratedOLTP systems. Furthermore, the results of our evaluation cast light on research directions of high performance CC schemes on GPUs.

Published
2024

2. MatrixGate: A High-performance Data Ingestion Tool for Time-series Databases

Author

Wang, Shuhui, Sun, Zihan, Hu, Chaochen, Li, Chao, Zhang, Yong, Yao, Yandong, Wang, Hao, and Xing, Chunxiao

Subjects
Computer Science - Databases
Abstract

Recent years have seen massive time-series data generated in many areas. This different scenario brings new challenges, particularly in terms of data ingestion, where existing technologies struggle to handle such massive time-series data, leading to low loading speed and poor timeliness. To address these challenges, this paper presents MatrixGate, a new and efficient data ingestion approach for massive time-series data. MatrixGate implements both single-instance and multi-instance parallel procedures, which is based on its unique ingestion strategies. First, MatrixGate uses policies to tune the slots that are synchronized with segments to ingest data, which eliminates the cost of starting transactions and enhance the efficiency. Second, multi-coroutines are responsible for transfer data, which can increase the degree of parallelism significantly. Third, lock-free queues are used to enable direct data transfer without the need for disk storage or lodging in the master instance. Experiment results on multiple datasets show that MatrixGate outperforms state-of-the-art methods by 3 to 100 times in loading speed, and cuts down about 80% query latency. Furthermore, MatrixGate scales out efficiently under distributed architecture, achieving scalability of 86%.

Published
2024

3. E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation

Author

Li, Xinhang, Chen, Chong, Zhao, Xiangyu, Zhang, Yong, and Xing, Chunxiao

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence
Abstract

The recent advancements in Large Language Models (LLMs) have sparked interest in harnessing their potential within recommender systems. Since LLMs are designed for natural language tasks, existing recommendation approaches have predominantly transformed recommendation tasks into open-domain natural language generation tasks. However, this approach necessitates items to possess rich semantic information, often generates out-of-range results, and suffers from notably low efficiency and limited extensibility. Furthermore, practical ID-based recommendation strategies, reliant on a huge number of unique identities (IDs) to represent users and items, have gained prominence in real-world recommender systems due to their effectiveness and efficiency. Nevertheless, the incapacity of LLMs to model IDs presents a formidable challenge when seeking to leverage LLMs for personalized recommendations. In this paper, we introduce an Elegant Effective Efficient Extensible solution for large language models for Sequential Recommendation (E4SRec), which seamlessly integrates LLMs with traditional recommender systems that exclusively utilize IDs to represent items. Specifically, E4SRec takes ID sequences as inputs, ensuring that the generated outputs fall within the candidate lists. Furthermore, E4SRec possesses the capability to generate the entire ranking list in a single forward process, and demands only a minimal set of pluggable parameters, which are trained for each dataset while keeping the entire LLM frozen. We substantiate the effectiveness, efficiency, and extensibility of our proposed E4SRec through comprehensive experiments conducted on four widely-used real-world datasets. The implementation code is accessible at https://github.com/HestiaSky/E4SRec/.

Published
2023

4. OpenSiteRec: An Open Dataset for Site Recommendation

Author

Li, Xinhang, Zhao, Xiangyu, Wang, Yejing, Liu, Yu, Li, Yong, Long, Cheng, Zhang, Yong, and Xing, Chunxiao

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence
Abstract

As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic data-driven way, is beneficial and crucial for brand development in modern business. However, there is no publicly available dataset so far and most existing approaches are limited to an extremely small scope of brands, which seriously hinders the research on site recommendation. Therefore, we collect, construct and release an open comprehensive dataset, namely OpenSiteRec, to facilitate and promote the research on site recommendation. Specifically, OpenSiteRec leverages a heterogeneous graph schema to represent various types of real-world entities and relations in four international metropolises. To evaluate the performance of the existing general methods on the site recommendation task, we conduct benchmarking experiments of several representative recommendation models on OpenSiteRec. Furthermore, we also highlight the potential application directions to demonstrate the wide applicability of OpenSiteRec. We believe that our OpenSiteRec dataset is significant and anticipated to encourage the development of advanced methods for site recommendation. OpenSiteRec is available online at https://OpenSiteRec.github.io/.

Published
2023

6. IMF: Interactive Multimodal Fusion Model for Link Prediction

Author

Li, Xinhang, Zhao, Xiangyu, Xu, Jiaxing, Zhang, Yong, and Xing, Chunxiao

Subjects
Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Link prediction aims to identify potential missing triples in knowledge graphs. To get better results, some recent studies have introduced multimodal information to link prediction. However, these methods utilize multimodal information separately and neglect the complicated interaction between different modalities. In this paper, we aim at better modeling the inter-modality information and thus introduce a novel Interactive Multimodal Fusion (IMF) model to integrate knowledge from different modalities. To this end, we propose a two-stage multimodal fusion framework to preserve modality-specific knowledge as well as take advantage of the complementarity between different modalities. Instead of directly projecting different modalities into a unified space, our multimodal fusion module limits the representations of different modalities independent while leverages bilinear pooling for fusion and incorporates contrastive learning as additional constraints. Furthermore, the decision fusion module delivers the learned weighted average over the predictions of all modalities to better incorporate the complementarity of different modalities. Our approach has been demonstrated to be effective through empirical evaluations on several real-world datasets. The implementation code is available online at https://github.com/HestiaSky/IMF-Pytorch., Comment: 9 pages, 7 figures, 4 tables, WWW'2023

Published
2023
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7. Sepsis Mortality Prediction with Electronic Health Records Based on Sequential and Attention-Based Models

Author

Liu, Xianbo, Wang, Kaiyuan, Wang, Weifan, Luo, Yi, Ren, Peng, Hu, Yuhang, Li, Zeming, Li, Xiangkuan, Hu, Zhentao, Li, Wenyao, Xing, Chunxiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jin, Cheqing, editor, Yang, Shiyu, editor, Shang, Xuequn, editor, Wang, Haofen, editor, and Zhang, Yong, editor

Published
2024
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8. SMSRD: A Streaming Graph Data Management System Based on Relational Database

Author

Luo, Yi, Ren, Peng, Wang, Weifan, Liu, Xianbo, Hu, Yuhang, Li, Zeming, Li, Xiangkuan, Li, Wenyao, Xing, Chunxiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jin, Cheqing, editor, Yang, Shiyu, editor, Shang, Xuequn, editor, Wang, Haofen, editor, and Zhang, Yong, editor

Published
2024
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9. MAGAN: Mode Information and Attention-Based GAN for Realistic Time Series Data Synthesis

Author

Wang, Yi, Luo, Yi, Ren, Peng, Wang, Weifan, Liu, Xianbo, Hu, Yuhang, Li, Zeming, Li, Xiangkuan, Li, Wenyao, Xing, Chunxiao, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jin, Cheqing, editor, Yang, Shiyu, editor, Shang, Xuequn, editor, Wang, Haofen, editor, and Zhang, Yong, editor

Published
2024
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10. Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

Author

Li, Xinhang, Zhang, Yong, and Xing, Chunxiao

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by first learning the representation of Knowledge Graphs and then performing entity alignment via measuring the similarity between entity embeddings. However, they failed to make good use of the relation semantic information due to the trade-off problem caused by the different objectives of learning knowledge embedding and neighborhood consensus. To address this problem, we propose Relational Knowledge Distillation for Entity Alignment (RKDEA), a Graph Convolutional Network (GCN) based model equipped with knowledge distillation for entity alignment. We adopt GCN-based models to learn the representation of entities by considering the graph structure and incorporating the relation semantic information into GCN via knowledge distillation. Then, we introduce a novel adaptive mechanism to transfer relational knowledge so as to jointly learn entity embedding and neighborhood consensus. Experimental results on several benchmarking datasets demonstrate the effectiveness of our proposed model.

Published
2022

13. Updatable Learned Index with Precise Positions

Author

Wu, Jiacheng, Zhang, Yong, Chen, Shimin, Wang, Jin, Chen, Yu, and Xing, Chunxiao

Subjects
Computer Science - Databases
Abstract

Index plays an essential role in modern database engines to accelerate the query processing. The new paradigm of "learned index" has significantly changed the way of designing index structures in DBMS. The key insight is that indexes could be regarded as learned models that predict the position of a lookup key in the dataset. While such studies show promising results in both lookup time and index size, they cannot efficiently support update operations. Although recent studies have proposed some preliminary approaches to support update, they are at the cost of scarifying the lookup performance as they suffer from the overheads brought by imprecise predictions in the leaf nodes. In this paper, we propose LIPP, a brand new framework of learned index to address such issues. Similar with state-of-the-art learned index structures, LIPP is able to support all kinds of index operations, namely lookup query, range query, insert, delete, update and bulkload. Meanwhile, we overcome the limitations of previous studies by properly extending the tree structure when dealing with update operations so as to eliminate the deviation of location predicted by the models in the leaf nodes. Moreover, we further propose a dynamic adjustment strategy to ensure that the height of the tree index is tightly bounded and provide comprehensive theoretical analysis to illustrate it. We conduct an extensive set of experiments on several real-life and synthetic datasets. The results demonstrate that our method consistently outperforms state-of-the-art solutions, achieving by up to 4x for a broader class of workloads with different index operations.

Published
2021

14. Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction

Author

Chen, Chi, Zhao, Li, Cao, Wei, Bian, Jiang, and Xing, Chunxiao

Subjects
Quantitative Finance - Statistical Finance
Abstract

Nowadays, machine learning methods have been widely used in stock prediction. Traditional approaches assume an identical data distribution, under which a learned model on the training data is fixed and applied directly in the test data. Although such assumption has made traditional machine learning techniques succeed in many real-world tasks, the highly dynamic nature of the stock market invalidates the strict assumption in stock prediction. To address this challenge, we propose the second-order identical distribution assumption, where the data distribution is assumed to be fluctuating over time with certain patterns. Based on such assumption, we develop a second-order learning paradigm with multi-scale patterns. Extensive experiments on real-world Chinese stock data demonstrate the effectiveness of our second-order learning paradigm in stock prediction.

Published
2020

15. Improving Distributed Similarity Join in Metric Space with Error-bounded Sampling

Author

Wu, Jiacheng, Zhang, Yong, Wang, Jin, Lin, Chunbin, Fu, Yingjia, and Xing, Chunxiao

Subjects
Computer Science - Databases
Abstract

Given two sets of objects, metric similarity join finds all similar pairs of objects according to a particular distance function in metric space. There is an increasing demand to provide a scalable similarity join framework which can support efficient query and analytical services in the era of Big Data. The existing distributed metric similarity join algorithms adopt random sampling techniques to produce pivots and utilize holistic partitioning methods based on the generated pivots to partition data, which results in data skew problem since both the generated pivots and the partition strategies have no quality guarantees. To address the limitation, we propose SP-Join, an end-to-end framework to support distributed similarity join in metric space based on the MapReduce paradigm, which (i) employs an estimation-based stratified sampling method to produce pivots with quality guarantees for any sample size, and (ii) devises an effective cost model as the guideline to split the whole datasets into partition in map and reduce phases according to the sampled pivots. Although obtaining an optimal set of partitions is proven to be NP-Hard, SP-Join adopts efficient partitioning strategies based on such a cost model to achieve an even partition with explainable quality. We implement our framework upon Apache Spark platform and conduct extensive experiments on four real-world datasets. The results show that our method significantly outperforms state-of-the-art methods., Comment: full version of a submission to PVLDB 2019

Published
2019

17. A Research on the Theory and Technology of Trusted Transaction in Modern Service Industry

Author

Wei, Xin, Zhu, Yi, Zhang, Jian, Zhang, Guigang, Li, Chao, Zhang, Yong, Xing, Chunxiao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhao, Xiang, editor, Yang, Shiyu, editor, Wang, Xin, editor, and Li, Jianxin, editor

Published
2022
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18. Integrated 5G MEC System and Its Application in Intelligent Video Analytics

Author

Wang, Han, Xing, Chunxiao, Zhang, Liang-Jie, 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, and Zhang, Liang-Jie, editor

Published
2022
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19. Middleware of Enterprise 5G Messaging Services: Design and Implementation

Author

Wang, Han, Peng, Bingjiang, Xing, Chunxiao, Zhang, Liang-Jie, 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, Tekinerdogan, Bedir, editor, Wang, Yingwei, editor, and Zhang, Liang-Jie, editor

Published
2022
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20. Federated Learning for 6G Edge Intelligence: Concepts, Challenges and Solutions

Author

Wang, Han, Hu, Jianhe, Xing, Chunxiao, Zhang, Liang-Jie, 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, Pan, Yi, editor, Mao, Zhi-Hong, editor, Luo, Lei, editor, Zeng, Jing, editor, and Zhang, Liang-Jie, editor

Published
2022
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22. Improving Document-Level Sentiment Classification with User-Product Gated Network

Author

Tian, Bing, Zhang, Yong, Xing, Chunxiao, 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, U, Leong Hou, editor, Spaniol, Marc, editor, Sakurai, Yasushi, editor, and Chen, Junying, editor

Published
2021
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23. A Novel Embedding Model for Knowledge Graph Completion Based on Multi-Task Learning

Author

Dou, Jiaheng, Tian, Bing, Zhang, Yong, Xing, Chunxiao, 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, Jensen, Christian S., editor, Lim, Ee-Peng, editor, Yang, De-Nian, editor, Lee, Wang-Chien, editor, Tseng, Vincent S., editor, Kalogeraki, Vana, editor, Huang, Jen-Wei, editor, and Shen, Chih-Ya, editor

Published
2021
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24. CrowdMed: A Blockchain-Based Approach to Consent Management for Health Data Sharing

Author

Shah, Mira, Li, Chao, Sheng, Ming, Zhang, Yong, Xing, Chunxiao, 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, Chen, Hsinchun, editor, Zeng, Daniel, editor, Yan, Xiangbin, editor, and Xing, Chunxiao, editor

Published
2019
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25. DEKGB: An Extensible Framework for Health Knowledge Graph

Author

Sheng, Ming, Shao, Yuyao, Zhang, Yong, Li, Chao, Xing, Chunxiao, Zhang, Han, Wang, Jingwen, Gao, Fei, 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, Chen, Hsinchun, editor, Zeng, Daniel, editor, Yan, Xiangbin, editor, and Xing, Chunxiao, editor

Published
2019
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26. AHIAP: An Agile Medical Named Entity Recognition and Relation Extraction Framework Based on Active Learning

Author

Sheng, Ming, Dong, Jing, Zhang, Yong, Bu, Yuelin, Li, Anqi, Lin, Weihang, Li, Xin, Xing, Chunxiao, 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, Huang, Zhisheng, editor, Siuly, Siuly, editor, Wang, Hua, editor, Zhou, Rui, editor, and Zhang, Yanchun, editor

Published
2020
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27. Smarter Smart Contracts: Efficient Consent Management in Health Data Sharing

Author

Shah, Mira, Li, Chao, Sheng, Ming, Zhang, Yong, Xing, Chunxiao, 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, Xin, editor, Zhang, Rui, editor, Lee, Young-Koo, editor, Sun, Le, editor, and Moon, Yang-Sae, editor

Published
2020
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28. Blockchain and Distributed System

Author

Zhao, Xu, Lei, Zhiwei, Zhang, Guigang, Zhang, Yong, Xing, Chunxiao, 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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29. An Experimental Study of Time Series Based Patient Similarity with Graphs

Author

Eteffa, Kalkidan Fekadu, Ansong, Samuel, Li, Chao, Sheng, Ming, Zhang, Yong, Xing, Chunxiao, 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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30. DSQA: A Domain Specific QA System for Smart Health Based on Knowledge Graph

Author

Sheng, Ming, Li, Anqi, Bu, Yuelin, Dong, Jing, Zhang, Yong, Li, Xin, Li, Chao, Xing, Chunxiao, 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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31. Review for Message-Oriented Middleware

Author

Liu, Yang, Zhang, Liang-Jie, Xing, Chunxiao, 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, Song, Wei, editor, Lee, Kisung, editor, Yan, Zhisheng, editor, Zhang, Liang-Jie, editor, and Chen, Huan, editor

Published
2020
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32. Review for Influence of 5G on Industry Internet

Author

Liu, Yang, Zhang, Liang-Jie, Xing, Chunxiao, 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, Ferreira, Joao Eduardo, editor, Palanisamy, Balaji, editor, Ye, Kejiang, editor, Kantamneni, Siva, editor, and Zhang, Liang-Jie, editor

Published
2020
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33. An Efficient Approximate Algorithm for Single-Source Discounted Hitting Time Query

Author

Liu, Kaixin, Zhang, Yong, Xing, Chunxiao, 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, Nah, Yunmook, editor, Cui, Bin, editor, Lee, Sang-Won, editor, Yu, Jeffrey Xu, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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34. Instance Explainable Multi-instance Learning for ROI of Various Data

Author

Zhao, Xu, Wang, Zihao, Zhang, Yong, Xing, Chunxiao, 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, Nah, Yunmook, editor, Cui, Bin, editor, Lee, Sang-Won, editor, Yu, Jeffrey Xu, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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35. Hybrid Attention Based Neural Architecture for Text Semantics Similarity Measurement

Author

Liu, Kaixin, Zhang, Yong, Xing, Chunxiao, 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, Nah, Yunmook, editor, Cui, Bin, editor, Lee, Sang-Won, editor, Yu, Jeffrey Xu, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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36. A Progressive Approach for Computing the Earth Mover’s Distance

Author

Wu, Jiacheng, Zhang, Yong, Chen, Yu, Xing, Chunxiao, 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, Nah, Yunmook, editor, Cui, Bin, editor, Lee, Sang-Won, editor, Yu, Jeffrey Xu, editor, Moon, Yang-Sae, editor, and Whang, Steven Euijong, editor

Published
2020
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41. Efficient and Secure Management of Medical Data Sharing Based on Blockchain Technology.

Author

Mao, Xiangke, Li, Chao, Zhang, Yong, Zhang, Guigang, and Xing, Chunxiao

Subjects
BLOCKCHAINS, DATA management, DATA warehousing, TRUST, INFORMATION sharing
Abstract

In the current landscape of medical data management, processing data across diverse institutions and maximizing their value are paramount. However, traditional methods lack a secure and efficient mechanism for end-to-end traceability and supervision, posing challenges in distributed scenarios lacking mutual trust. Leveraging blockchain's decentralized, tamper-proof, and traceable features, this paper introduces a blockchain-based medical data management platform. This platform enables full-process management of raw data, operational behaviors, intermediate data, and final data, meeting the needs of trusted storage and supervision of data. We propose two methods, namely, naive method and DAG-based method, to realize forward tracking and backward tracing of medical data stored on the blockchain, respectively. We validated and analyzed the storage and query performance of the medical data management platform on real medical data, and we also conducted experimental analyses on the efficiency of the proposed traceability algorithm under different data scales and processing path lengths. The results demonstrate that our platform and traceability methods effectively meet the management needs of medical data distributed across institutions. [ABSTRACT FROM AUTHOR]

Published
2024
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42. An Efficient Traffic Prediction Model Using Deep Spatial-Temporal Network

Author

Xu, Jie, Zhang, Yong, Jia, Yongzheng, Xing, Chunxiao, Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Gao, Honghao, editor, Wang, Xinheng, editor, Yin, Yuyu, editor, and Iqbal, Muddesar, editor

Published
2019
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43. DocKG: A Knowledge Graph Framework for Health with Doctor-in-the-Loop

Author

Sheng, Ming, Wang, Jingwen, Zhang, Yong, Li, Xin, Li, Chao, Xing, Chunxiao, Li, Qiang, Shao, Yuyao, Zhang, Han, 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, Hua, editor, Siuly, Siuly, editor, Zhou, Rui, editor, Martin-Sanchez, Fernando, editor, Zhang, Yanchun, editor, and Huang, Zhisheng, editor

Published
2019
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44. Can Heart Rate Variability Parameters Be a Biomarker for Predicting Motor Function Prognosis in Patients with Chronic Stroke?

Author

Zhang, Xiaoyu, Li, Xin, Liu, Haoyang, Zhang, Guigang, Xing, Chunxiao, 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, Hua, editor, Siuly, Siuly, editor, Zhou, Rui, editor, Martin-Sanchez, Fernando, editor, Zhang, Yanchun, editor, and Huang, Zhisheng, editor

Published
2019
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45. A Trusted System Framework for Electronic Records Management Based on Blockchain

Author

Xue, Sixin, Zhao, Xu, Li, Xin, Zhang, Guigang, Xing, Chunxiao, 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, Ni, Weiwei, editor, Wang, Xin, editor, Song, Wei, editor, and Li, Yukun, editor

Published
2019
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46. Application of Patient Similarity in Smart Health: A Case Study in Medical Education

Author

Eteffa, Kalkidan Fekadu, Ansong, Samuel, Li, Chao, Sheng, Ming, Zhang, Yong, Xing, Chunxiao, 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, Ni, Weiwei, editor, Wang, Xin, editor, Song, Wei, editor, and Li, Yukun, editor

Published
2019
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47. Anti-money Laundering (AML) Research: A System for Identification and Multi-classification

Author

Feng, Yixuan, Li, Chao, Wang, Yun, Wang, Jian, Zhang, Guigang, Xing, Chunxiao, Li, Zhenxing, Lian, Zengshen, 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, Ni, Weiwei, editor, Wang, Xin, editor, Song, Wei, editor, and Li, Yukun, editor

Published
2019
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48. How to Empower Disease Diagnosis in a Medical Education System Using Knowledge Graph

Author

Ansong, Samuel, Eteffa, Kalkidan F., Li, Chao, Sheng, Ming, Zhang, Yong, Xing, Chunxiao, 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, Ni, Weiwei, editor, Wang, Xin, editor, Song, Wei, editor, and Li, Yukun, editor

Published
2019
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49. CLMed: A Cross-lingual Knowledge Graph Framework for Cardiovascular Diseases

Author

Sheng, Ming, Zhang, Han, Zhang, Yong, Li, Chao, Xing, Chunxiao, Wang, Jingwen, Shao, Yuyao, Gao, Fei, 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, Ni, Weiwei, editor, Wang, Xin, editor, Song, Wei, editor, and Li, Yukun, editor

Published
2019
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50. Reducing Wrong Labels for Distant Supervision Relation Extraction with Selective Capsule Network

Author

Wang, Zihao, Zhang, Yong, Xing, Chunxiao, 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, Shao, Jie, editor, Yiu, Man Lung, editor, Toyoda, Masashi, editor, Zhang, Dongxiang, editor, Wang, Wei, editor, and Cui, Bin, editor

Published
2019
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