b'Jianzhong Li'

research

∙ 08/24/2023

An Efficient Data Analysis Method for Big Data using Multiple-Model Linear Regression

This paper introduces a new data analysis method for big data using a ne...

0 Bohan Lyu, et al. ∙

research

∙ 02/27/2023

Random-Order Enumeration for Self-Reducible NP-Problems

In plenty of data analysis tasks, a basic and time-consuming process is ...

0 Pengyu Chen, et al. ∙

research

∙ 02/25/2023

The Hardness of Optimization Problems on the Weighted Massively Parallel Computation Model

The topology-aware Massively Parallel Computation (MPC) model is propose...

0 Hengzhao Ma, et al. ∙

research

∙ 08/22/2022

Analysis of Approximate sorting in I/O model

We consider the problem of approximate sorting in I/O model. The goal of...

0 Tianpeng Gao, et al. ∙

research

∙ 11/16/2021

Rank-Regret Minimization

Multi-criteria decision-making often requires finding a small representa...

0 Xingxing Xiao, et al. ∙

research

∙ 07/04/2021

The PCP-like Theorem for Sub-linear Time Inapproximability

In this paper we propose the PCP-like theorem for sub-linear time inappr...

0 Hengzhao Ma, et al. ∙

research

∙ 04/11/2021

Sublinear Time Nearest Neighbor Search over Generalized Weighted Manhattan Distance

Nearest Neighbor Search (NNS) over generalized weighted distance is fund...

0 Huan Hu, et al. ∙

research

∙ 11/24/2020

Efficient Approximate Nearest Neighbor Search for Multiple Weighted l_p≤2 Distance Functions

Nearest neighbor search is fundamental to a wide range of applications. ...

0 Huan Hu, et al. ∙

research

∙ 11/04/2020

PCP Theorems, SETH and More: Towards Proving Sub-linear Time Inapproximability

In this paper we propose the PCP-like theorem for sub-linear time inappr...

0 Hengzhao Ma, et al. ∙

research

∙ 08/12/2020

Sampling Based Approximate Skyline Calculation on Big Data

The existing algorithms for processing skyline queries cannot adapt to b...

0 Xingxing Xiao, et al. ∙

research

∙ 08/07/2020

A Sub-linear Time Algorithm for Approximating k-Nearest-Neighbor with Full Quality Guarantee

In this paper we propose an algorithm for the approximate k-Nearest-Neig...

0 Hengzhao Ma, et al. ∙

research

∙ 07/09/2020

Efficient Trajectory Compression and Queries

Nowadays, there are ubiquitousness of GPS sensors in various devices col...

0 Hongbo Yin, et al. ∙

research

∙ 01/02/2020

Complexity and Efficient Algorithms for Data Inconsistency Evaluating and Repairing

Data inconsistency evaluating and repairing are major concerns in data q...

0 Dongjing Miao, et al. ∙

research

∙ 12/02/2019

ExperienceThinking: Hyperparameter Optimization with Budget Constraints

The problem of hyperparameter optimization exists widely in the real lif...

0 Chunnan Wang, et al. ∙

research

∙ 10/24/2019

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...

0 Chunnan Wang, et al. ∙

research

∙ 10/03/2019

Recognizing the Tractability in Big Data Computing

Due to the limitation on computational power of existing computers, the ...

0 Jianzhong Li, et al. ∙

research

∙ 08/10/2019

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...

0 Xi Chen, et al. ∙

research

∙ 08/01/2019

A True O(n logn) Algorithm for the All-k-Nearest-Neighbors Problem

In this paper we examined an algorithm for the All-k-Nearest-Neighbor pr...

0 Hengzhao Ma, et al. ∙

research

∙ 08/01/2019

A True O(n n) Algorithm for the All-k-Nearest-Neighbors Problem

In this paper we examined an algorithm for the All-k-Nearest-Neighbor pr...

0 Hengzhao Ma, et al. ∙

research

∙ 04/26/2019

Regular Expression Matching on billion-nodes Graphs

In many applications, it is necessary to retrieve pairs of vertices with...

0 Hongzhi Wang, et al. ∙

research

∙ 09/26/2018

An Algorithm for Reducing Approximate Nearest Neighbor to Approximate Near Neighbor with O(logn) Query Time

This paper proposes a new algorithm for reducing Approximate Nearest Nei...

0 Hengzhao Ma, et al. ∙

research

∙ 08/05/2018

On the Fairness of Quality-based Data Markets

For data pricing, data quality is a factor that must be considered. To k...

0 Dan Zhang, et al. ∙

research

∙ 08/05/2018

Mining CFD Rules on Big Data

Current conditional functional dependencies (CFDs) discovery algorithms ...

0 Hongzhi Wang, et al. ∙

research

∙ 08/05/2018

Schema Integration on Massive Data Sources

As the fundamental phrase of collecting and analyzing data, data integra...

0 Tianbao Lia, et al. ∙

research

∙ 08/02/2018

Diversification on Big Data in Query Processing

Recently, in the area of big data, some popular applications such as web...

0 Meifan Zhang, et al. ∙

research

∙ 07/31/2018

Improve3C: Data Cleaning on Consistency and Completeness with Currency

Data quality plays a key role in big data management today. With the exp...

0 Xiaoou Ding, et al. ∙

research

∙ 07/29/2018

MISS: Finding Optimal Sample Sizes for Approximate Analytics

Nowadays, sampling-based Approximate Query Processing (AQP) is widely re...

0 Xuebin Su, et al. ∙

research

∙ 05/31/2018

QuickIM: Efficient, Accurate and Robust Influence Maximization Algorithm on Billion-Scale Networks

The Influence Maximization (IM) problem aims at finding k seed vertices ...

0 Rong Zhu, et al. ∙

research

∙ 03/16/2018

Impacts of Dirty Data: and Experimental Evaluation

Data quality issues have attracted widespread attention due to the negat...

0 Zhixin Qi, et al. ∙

research

∙ 11/06/2017

An Iterative Scheme for Leverage-based Approximate Aggregation

Currently data explosion poses great challenges to approximate aggregati...

0 Shanshan Han, et al. ∙

research

∙ 10/26/2017

Optimal Scheduling of Friendly Jammers for Securing Wireless Communication

Wireless communication systems, such as wireless sensor networks and RFI...

0 Jialin Wan, et al. ∙

research

∙ 10/08/2017

Discovery of Paradigm Dependencies

Missing and incorrect values often cause serious consequences. To deal w...

0 Jizhou Sun, et al. ∙

research

∙ 09/27/2017

Diversified Coherent Core Search on Multi-Layer Graphs

Mining dense subgraphs on multi-layer graphs is an interesting problem, ...

0 Rong Zhu, et al. ∙

Jianzhong Li

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