Xinzheng Niu

According to our database, Xinzheng Niu authored at least 29 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis.

M. Saqib Nawaz, Philippe Fournier-Viger, Memoona Aslam, Wenjin Li, Yulin He, Xinzheng Niu

Appl. Intell., October, 2023

ERCP: speedup path planning through clustering and presearching.

Kun He, Xinzheng Niu, Xue-Yang Min, Fan Min

Appl. Intell., May, 2023

Image-text Retrieval via Preserving Main Semantics of Vision.

Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

UBP-Miner: An efficient bit based high utility itemset mining algorithm.

Peng Wu, Xinzheng Niu, Philippe Fournier-Viger, Cheng Huang, Bing Wang

Knowl. Based Syst., 2022

A graph based approach for mining significant places in trajectory data.

Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min

Inf. Sci., 2022

On a two-stage progressive clustering algorithm with graph-augmented density peak clustering.

Xinzheng Niu, Yunhong Zheng, Wuji Liu, Chase Q. Wu

Eng. Appl. Artif. Intell., 2022

On a parallel spark workflow for frequent itemset mining based on array prefix-tree.

Xinzheng Niu, Peng Wu, Chase Q. Wu, Aiqin Hou, Mideng Qian

Concurr. Comput. Pract. Exp., 2022

On an improved clustering algorithm based on node density for WSN routing protocol.

Luyao Chang, Fan Li, Xinzheng Niu, Jiahui Zhu

Clust. Comput., 2022

Parallel grid-based density peak clustering of big trajectory data.

Xinzheng Niu, Yunhong Zheng, Philippe Fournier-Viger, Bing Wang

Appl. Intell., 2022

Spatio-temporal trajectory anomaly detection based on common sub-sequence.

Ling He, Xinzheng Niu, Ting Chen, Kejin Mei, Mao Li

Appl. Intell., 2022

Two-Stage Traffic Clustering Based on HNSW.

Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Bing Wang

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021

An Approach to Spatiotemporal Trajectory Clustering Based on Community Detection.

Xin Wang, Xinzheng Niu, Jiahui Zhu, Zuoyan Liu

Wirel. Commun. Mob. Comput., 2021

On a clustering-based mining approach with labeled semantics for significant place discovery.

Xinzheng Niu, Shimin Wang, Chase Q. Wu, Yuran Li, Peng Wu, Jiahui Zhu

Inf. Sci., 2021

Fast Top-K association rule mining using rule generation property pruning.

Xiangyu Liu, Xinzheng Niu, Philippe Fournier-Viger

Appl. Intell., 2021

COVID-19 Genome Analysis Using Alignment-Free Methods.

M. Saqib Nawaz, Philippe Fournier-Viger, Xinzheng Niu, Youxi Wu, Jerry Chun-Wei Lin

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Fast Mining of Top-k Frequent Balanced Association Rules.

Xiangyu Liu, Xinzheng Niu, Jieliang Kuang, Shenghan Yang, Pengpeng Liu

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Map-Matching Based on HMM for Urban Traffic.

Dongzi Chen, Xinzheng Niu, Philippe Fournier-Viger, Wenxin Wu, Bing Wang

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020

Label-Based Trajectory Clustering in Complex Road Networks.

Xinzheng Niu, Ting Chen, Chase Q. Wu, Jiajun Niu, Yuran Li

IEEE Trans. Intell. Transp. Syst., 2020

On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division.

Xinzheng Niu, Jiahui Zhu, Chase Q. Wu, Shimin Wang

Eng. Appl. Artif. Intell., 2020

Distributed Density Peak Clustering of Trajectory Data on Spark.

Yunhong Zheng, Xinzheng Niu, Philippe Fournier-Viger, Fan Li, Lin Gao

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019

On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree.

Xinzheng Niu, Mideng Qian, Chase Q. Wu, Aiqin Hou

Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019

On a Clustering-Based Approach for Traffic Sub-area Division.

Jiahui Zhu, Xinzheng Niu, Chase Q. Wu

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

2017

A label-based evolutionary computing approach to dynamic community detection.

Xinzheng Niu, Weiyu Si, Chase Q. Wu

Comput. Commun., 2017

2016

Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization.

Chunyuan Zhang, Qingxin Zhu, Xinzheng Niu

Comput. Intell. Neurosci., 2016

Multikernel Recursive Least-Squares Temporal Difference Learning.

Chunyuan Zhang, Qingxin Zhu, Xinzheng Niu

Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015

Intelligent Mobile Framework Based on Swarm Computation.

Xinzheng Niu, Dazhuang Su, Minhao Cheng

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

Research on Energy-Aware Topology Strategy Based on Wireless Sensor in Internet of Things.

XueFei Tang, Xinzheng Niu, Shahzad Ali

Int. J. Comput. Intell. Syst., 2014

Feature Selection with Neighborhood Entropy-Based Cooperative Game Theory.

Kai Zeng, Kun She, Xinzheng Niu

Comput. Intell. Neurosci., 2014

2013

Multi-Granulation Entropy and Its Applications.

Kai Zeng, Kun She, Xinzheng Niu

Entropy, 2013