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2020 – today
- 2025
[j23]Luyao Chang, Xinzheng Niu, Zhenghua Li, Zhiheng Zhang, Shenshen Li, Philippe Fournier-Viger:
ULDC: uncertainty-based learning for deep clustering. Appl. Intell. 55(3): 223 (2025)- 2024
- [j22]Chang Liu
, Xinzheng Niu, Yong Ma, Shiyun Shao, Bing Wang:
TL-TSD: A two-layer traffic sub-area division framework based on trajectory clustering. Eng. Appl. Artif. Intell. 133: 108365 (2024) - [j21]Yihe Yan, Xinzheng Niu, Zhiheng Zhang, Philippe Fournier-Viger, Libin Ye, Fan Min:
Efficient high utility itemset mining without the join operation. Inf. Sci. 681: 121218 (2024) - [j20]Jiahui Zhu, Xinzheng Niu, Fan Li, Yixuan Wang, Philippe Fournier-Viger, Kun She:
STTraj2Vec: A spatio-temporal trajectory representation learning approach. Knowl. Based Syst. 300: 112207 (2024) - 2023
- [j19]Kun He, Xinzheng Niu, Xue-Yang Min, Fan Min:
ERCP: speedup path planning through clustering and presearching. Appl. Intell. 53(10): 12324-12339 (2023) - [j18]M. Saqib Nawaz, Philippe Fournier-Viger, Memoona Aslam, Wenjin Li, Yulin He, Xinzheng Niu:
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis. Appl. Intell. 53(19): 21920-21943 (2023) - [c10]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai:
Image-text Retrieval via Preserving Main Semantics of Vision. ICME 2023: 1967-1972 - [i1]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai:
Image-text Retrieval via Preserving Main Semantics of Vision. CoRR abs/2304.10254 (2023) - 2022
- [j17]Ling He, Xinzheng Niu, Ting Chen, Kejin Mei, Mao Li:
Spatio-temporal trajectory anomaly detection based on common sub-sequence. Appl. Intell. 52(7): 7599-7621 (2022) - [j16]Xinzheng Niu, Yunhong Zheng, Philippe Fournier-Viger, Bing Wang:
Parallel grid-based density peak clustering of big trajectory data. Appl. Intell. 52(15): 17042-17057 (2022) - [j15]Luyao Chang, Fan Li, Xinzheng Niu, Jiahui Zhu:
On an improved clustering algorithm based on node density for WSN routing protocol. Clust. Comput. 25(4): 3005-3017 (2022) - [j14]Xinzheng Niu, Peng Wu, Chase Q. Wu, Aiqin Hou, Mideng Qian:
On a parallel spark workflow for frequent itemset mining based on array prefix-tree. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j13]Xinzheng Niu, Yunhong Zheng, Wuji Liu, Chase Q. Wu:
On a two-stage progressive clustering algorithm with graph-augmented density peak clustering. Eng. Appl. Artif. Intell. 108: 104566 (2022) - [j12]Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min:
A graph based approach for mining significant places in trajectory data. Inf. Sci. 609: 172-194 (2022) - [j11]Peng Wu, Xinzheng Niu, Philippe Fournier-Viger, Cheng Huang, Bing Wang:
UBP-Miner: An efficient bit based high utility itemset mining algorithm. Knowl. Based Syst. 248: 108865 (2022) - [c9]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Bing Wang:
Two-Stage Traffic Clustering Based on HNSW. IEA/AIE 2022: 609-620 - 2021
- [j10]Xiangyu Liu, Xinzheng Niu, Philippe Fournier-Viger:
Fast Top-K association rule mining using rule generation property pruning. Appl. Intell. 51(4): 2077-2093 (2021) - [j9]Xinzheng Niu, Shimin Wang, Chase Q. Wu, Yuran Li, Peng Wu, Jiahui Zhu:
On a clustering-based mining approach with labeled semantics for significant place discovery. Inf. Sci. 578: 37-63 (2021) - [j8]Xin Wang, Xinzheng Niu, Jiahui Zhu, Zuoyan Liu:
An Approach to Spatiotemporal Trajectory Clustering Based on Community Detection. Wirel. Commun. Mob. Comput. 2021: 5582341:1-5582341:10 (2021) - [c8]Xiangyu Liu, Xinzheng Niu, Jieliang Kuang, Shenghan Yang, Pengpeng Liu:
Fast Mining of Top-k Frequent Balanced Association Rules. IEA/AIE (1) 2021: 3-14 - [c7]M. Saqib Nawaz, Philippe Fournier-Viger, Xinzheng Niu, Youxi Wu, Jerry Chun-Wei Lin:
COVID-19 Genome Analysis Using Alignment-Free Methods. IEA/AIE (1) 2021: 316-328 - [c6]Dongzi Chen, Xinzheng Niu, Philippe Fournier-Viger, Wenxin Wu, Bing Wang:
Map-Matching Based on HMM for Urban Traffic. IEA/AIE (2) 2021: 462-473 - 2020
- [j7]Xinzheng Niu, Jiahui Zhu, Chase Q. Wu, Shimin Wang:
On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division. Eng. Appl. Artif. Intell. 96: 103932 (2020) - [j6]Xinzheng Niu, Ting Chen, Chase Q. Wu, Jiajun Niu, Yuran Li:
Label-Based Trajectory Clustering in Complex Road Networks. IEEE Trans. Intell. Transp. Syst. 21(10): 4098-4110 (2020) - [c5]Yunhong Zheng, Xinzheng Niu, Philippe Fournier-Viger, Fan Li, Lin Gao:
Distributed Density Peak Clustering of Trajectory Data on Spark. IEA/AIE 2020: 792-804
2010 – 2019
- 2019
- [c4]Jiahui Zhu, Xinzheng Niu, Chase Q. Wu:
On a Clustering-Based Approach for Traffic Sub-area Division. IEA/AIE 2019: 516-529 - [c3]Xinzheng Niu, Mideng Qian, Chase Q. Wu, Aiqin Hou:
On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree. WORKS@SC 2019: 50-59 - 2017
- [j5]Xinzheng Niu, Weiyu Si, Chase Q. Wu:
A label-based evolutionary computing approach to dynamic community detection. Comput. Commun. 108: 110-122 (2017) - 2016
- [j4]Chunyuan Zhang, Qingxin Zhu, Xinzheng Niu:
Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization. Comput. Intell. Neurosci. 2016: 2305854:1-2305854:11 (2016) - [c2]Chunyuan Zhang, Qingxin Zhu, Xinzheng Niu:
Multikernel Recursive Least-Squares Temporal Difference Learning. ICIC (3) 2016: 205-217 - 2015
- [c1]Xinzheng Niu, Dazhuang Su, Minhao Cheng:
Intelligent Mobile Framework Based on Swarm Computation. CIT/IUCC/DASC/PICom 2015: 1000-1006 - 2014
- [j3]Kai Zeng, Kun She, Xinzheng Niu:
Feature Selection with Neighborhood Entropy-Based Cooperative Game Theory. Comput. Intell. Neurosci. 2014: 479289:1-479289:10 (2014) - [j2]XueFei Tang, Xinzheng Niu, Shahzad Ali:
Research on Energy-Aware Topology Strategy Based on Wireless Sensor in Internet of Things. Int. J. Comput. Intell. Syst. 7(6): 1137-1147 (2014) - 2013
- [j1]Kai Zeng, Kun She, Xinzheng Niu:
Multi-Granulation Entropy and Its Applications. Entropy 15(6): 2288-2302 (2013)
Coauthor Index
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