b'Hongzhi Wang'

Approximate Query Processing for Group-By Queries based on Conditional Generative Models

The Group-By query is an important kind of query, which is common and wi...
01/08/2021 ∙ by Meifan Zhang, et al. ∙ 0 ∙ share

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A Dual-Store Structure for Knowledge Graphs

To effectively manage increasing knowledge graphs in various domains, a ...
12/13/2020 ∙ by Zhixin Qi, et al. ∙ 0 ∙ share

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Multi-SQL: An extensible multi-model data query language

Big data management aims to establish data hubs that support data in mul...
11/17/2020 ∙ by Yu Yan, et al. ∙ 0 ∙ share

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Efficient RDF Graph Storage based on Reinforcement Learning

Knowledge graph is an important cornerstone of artificial intelligence. ...
10/22/2020 ∙ by Lei Zheng, et al. ∙ 0 ∙ share

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Musings about Constructions of Efficient Latin Hypercube Designs with Flexible Run-sizes

Efficient Latin hypercube designs (LHDs), including maximin distance LHD...
10/19/2020 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results

In recent years, many spatial-temporal graph convolutional network (STGC...
10/15/2020 ∙ by Chunnan Wang, et al. ∙ 0 ∙ share

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EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective

Knowledge graph completion aims to predict the new links in given entiti...
09/18/2020 ∙ by Zhaochong An, et al. ∙ 0 ∙ share

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Automatic Storage Structure Selection for hybrid Workload

In the use of database systems, the design of the storage engine and dat...
08/15/2020 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Reachability Queries with Label and Substructure Constraints on Knowledge Graphs

Since knowledge graphs (KGs) describe and model the relationships betwee...
07/23/2020 ∙ by Xiaolong Wan, et al. ∙ 0 ∙ share

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Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network

The great amount of datasets generated by various data sources have pose...
07/07/2020 ∙ by Tianyu Mu, et al. ∙ 0 ∙ share

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Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation

The search space of neural architecture search (NAS) for convolutional n...
07/06/2020 ∙ by Chunnan Wang, et al. ∙ 0 ∙ share

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Index Selection for NoSQL Database with Deep Reinforcement Learning

We propose a new approach of NoSQL database index selection. For differe...
06/16/2020 ∙ by Shun Yao, et al. ∙ 0 ∙ share

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Efficient Semi-External Depth-First Search

Computing Depth-First Search (DFS) results, i.e. depth-first order or DF...
06/05/2020 ∙ by Xiaolong Wan, et al. ∙ 0 ∙ share

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Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation

The Pancreatic beta cell is an important target in diabetes research. Fo...
04/20/2020 ∙ by John Paul Francis, et al. ∙ 0 ∙ share

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ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence

In this demo, we present ConsciousControlFlow(CCF), a prototype system t...
04/09/2020 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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LAQP: Learning-based Approximate Query Processing

Querying on big data is a challenging task due to the rapid growth of da...
03/05/2020 ∙ by Meifan Zhang, et al. ∙ 0 ∙ share

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Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters

Machine learning algorithms have made remarkable achievements in the fie...
03/03/2020 ∙ by Bozhou Chen, et al. ∙ 0 ∙ share

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ExperienceThinking: Hyperparameter Optimization with Budget Constraints

The problem of hyperparameter optimization exists widely in the real lif...
12/02/2019 ∙ by Chunnan Wang, et al. ∙ 0 ∙ share

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Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem

In many fields, a mass of algorithms with completely different hyperpara...
10/24/2019 ∙ by Chunnan Wang, et al. ∙ 0 ∙ share

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Automatic Weighted Matching Rectifying Rule Discovery for Data Repairing

Data repairing is a key problem in data cleaning which aims to uncover a...
09/21/2019 ∙ by Hiba Abu Ahmad, et al. ∙ 0 ∙ share

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A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics

In industrial data analytics, one of the fundamental problems is to util...
08/22/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation

Time series prediction with missing values is an important problem of ti...
08/10/2019 ∙ by Xi Chen, et al. ∙ 0 ∙ share

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LSTM-based Flow Prediction

In this paper, a method of prediction on continuous time series variable...
08/09/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays

Central venous catheters (CVCs) are commonly used in critical care setti...
07/02/2019 ∙ by Vaishnavi Subramanian, et al. ∙ 0 ∙ share

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Regular Expression Matching on billion-nodes Graphs

In many applications, it is necessary to retrieve pairs of vertices with...
04/26/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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GPU-based Efficient Join Algorithms on Hadoop

The growing data has brought tremendous pressure for query processing an...
04/25/2019 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Error Detection in a Large-Scale Lexical Taxonomy

Knowledge base (KB) is an important aspect in artificial intelligence. O...
08/05/2018 ∙ by Sifan Liu, et al. ∙ 0 ∙ share

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On the Fairness of Quality-based Data Markets

For data pricing, data quality is a factor that must be considered. To k...
08/05/2018 ∙ by Dan Zhang, et al. ∙ 0 ∙ share

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Mining CFD Rules on Big Data

Current conditional functional dependencies (CFDs) discovery algorithms ...
08/05/2018 ∙ by Hongzhi Wang, et al. ∙ 0 ∙ share

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Schema Integration on Massive Data Sources

As the fundamental phrase of collecting and analyzing data, data integra...
08/05/2018 ∙ by Tianbao Lia, et al. ∙ 0 ∙ share

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Predicting Learning Status in MOOCs using LSTM

Real-time and open online course resources of MOOCs have attracted a lar...
08/05/2018 ∙ by Zhemin Liu, et al. ∙ 0 ∙ share

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Diversification on Big Data in Query Processing

Recently, in the area of big data, some popular applications such as web...
08/02/2018 ∙ by Meifan Zhang, et al. ∙ 0 ∙ share

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Improve3C: Data Cleaning on Consistency and Completeness with Currency

Data quality plays a key role in big data management today. With the exp...
07/31/2018 ∙ by Xiaoou Ding, et al. ∙ 0 ∙ share

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MISS: Finding Optimal Sample Sizes for Approximate Analytics

Nowadays, sampling-based Approximate Query Processing (AQP) is widely re...
07/29/2018 ∙ by Xuebin Su, et al. ∙ 0 ∙ share

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Impacts of Dirty Data: and Experimental Evaluation

Data quality issues have attracted widespread attention due to the negat...
03/16/2018 ∙ by Zhixin Qi, et al. ∙ 0 ∙ share

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Hierarchical Siamese Network for Thermal Infrared Object Tracking

Most thermal infrared (TIR) tracking methods are discriminative, which t...
11/27/2017 ∙ by Qiao Liu, et al. ∙ 0 ∙ share

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An Iterative Scheme for Leverage-based Approximate Aggregation

Currently data explosion poses great challenges to approximate aggregati...
11/06/2017 ∙ by Shanshan Han, et al. ∙ 0 ∙ share

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Hongzhi Wang

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