Multi-Granulation Entropy and Its Applications. - Kai Zeng 005; Kun She 001; Xinzheng Niu (Entropy, 2013)

Feature Selection with Neighborhood Entropy-Based Cooperative Game Theory. - Kai Zeng 005; Kun She 001; Xinzheng Niu (Comput. Intell. Neurosci., 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)

Intelligent Mobile Framework Based on Swarm Computation. - Xinzheng Niu; Dazhuang Su; Minhao Cheng (CIT/IUCC/DASC/PICom, 2015)

Multikernel Recursive Least-Squares Temporal Difference Learning. - Chunyuan Zhang; Qingxin Zhu; Xinzheng Niu (ICIC (3), 2016)

Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization. - Chunyuan Zhang; Qingxin Zhu; Xinzheng Niu (Comput. Intell. Neurosci., 2016)

A label-based evolutionary computing approach to dynamic community detection. - Xinzheng Niu; Weiyu Si; Chase Q. Wu (Comput. Commun., 2017)

On a Clustering-Based Approach for Traffic Sub-area Division. - Jiahui Zhu; Xinzheng Niu; Chase Q. Wu (IEA/AIE, 2019)

On a Parallel Spark Workflow for Frequent Itemset Mining Based on Array Prefix-Tree. - Xinzheng Niu; Mideng Qian; Chase Q. Wu; Aiqin Hou (WORKS@SC, 2019)

Distributed Density Peak Clustering of Trajectory Data on Spark. - Yunhong Zheng; Xinzheng Niu; Philippe Fournier-Viger; Fan Li; Lin Gao (IEA/AIE, 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)

Label-Based Trajectory Clustering in Complex Road Networks. - Xinzheng Niu; Ting Chen 009; Chase Q. Wu; Jiajun Niu; Yuran Li (IEEE Trans. Intell. Transp. Syst., 2020)

Map-Matching Based on HMM for Urban Traffic. - Dongzi Chen; Xinzheng Niu; Philippe Fournier-Viger; Wenxin Wu; Bing Wang (IEA/AIE (2), 2021)

Fast Mining of Top-k Frequent Balanced Association Rules. - Xiangyu Liu; Xinzheng Niu; Jieliang Kuang; Shenghan Yang; Pengpeng Liu (IEA/AIE (1), 2021)

COVID-19 Genome Analysis Using Alignment-Free Methods. - M. Saqib Nawaz; Philippe Fournier-Viger; Xinzheng Niu; Youxi Wu; Jerry Chun-Wei Lin (IEA/AIE (1), 2021)

Fast Top-K association rule mining using rule generation property pruning. - Xiangyu Liu; Xinzheng Niu; Philippe Fournier-Viger (Appl. Intell., 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 030; Jiahui Zhu (Inf. Sci., 2021)

An Approach to Spatiotemporal Trajectory Clustering Based on Community Detection. - Xin Wang; Xinzheng Niu; Jiahui Zhu; Zuoyan Liu (Wirel. Commun. Mob. Comput., 2021)

Two-Stage Traffic Clustering Based on HNSW. - Xu Zhang; Xinzheng Niu; Philippe Fournier-Viger; Bing Wang (IEA/AIE, 2022)

Spatio-temporal trajectory anomaly detection based on common sub-sequence. - Ling He; Xinzheng Niu; Ting Chen 009; Kejin Mei; Mao Li (Appl. Intell., 2022)

Parallel grid-based density peak clustering of big trajectory data. - Xinzheng Niu; Yunhong Zheng; Philippe Fournier-Viger; Bing Wang (Appl. Intell., 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)

On a parallel spark workflow for frequent itemset mining based on array prefix-tree. - Xinzheng Niu; Peng Wu 030; Chase Q. Wu; Aiqin Hou; Mideng Qian (Concurr. Comput. Pract. Exp., 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)

A graph based approach for mining significant places in trajectory data. - Shimin Wang; Xinzheng Niu; Philippe Fournier-Viger; Dongmei Zhou; Fan Min 001 (Inf. Sci., 2022)

UBP-Miner: An efficient bit based high utility itemset mining algorithm. - Peng Wu 030; Xinzheng Niu; Philippe Fournier-Viger; Cheng Huang; Bing Wang (Knowl. Based Syst., 2022)

Image-text Retrieval via Preserving Main Semantics of Vision. - Xu Zhang; Xinzheng Niu; Philippe Fournier-Viger; Xudong Dai (ICME, 2023)

ERCP: speedup path planning through clustering and presearching. - Kun He; Xinzheng Niu; Xue-Yang Min; Fan Min 001 (Appl. Intell., 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., 2023)

TL-TSD: A two-layer traffic sub-area division framework based on trajectory clustering. - Chang Liu; Xinzheng Niu; Yong Ma; Shiyun Shao; Bing Wang (Eng. Appl. Artif. Intell., 2024)

Efficient high utility itemset mining without the join operation. - Yihe Yan; Xinzheng Niu; Zhiheng Zhang; Philippe Fournier-Viger; Libin Ye; Fan Min 001 (Inf. Sci., 2024)

STTraj2Vec: A spatio-temporal trajectory representation learning approach. - Jiahui Zhu; Xinzheng Niu; Fan Li; Yixuan Wang; Philippe Fournier-Viger; Kun She 001 (Knowl. Based Syst., 2024)

STR: Spatio-temporal trajectory representation learning with dual-focus encoder for whole trajectory similarity computation. - Mengqiu Li; Xinzheng Niu; Jiahui Zhu; Philippe Fournier-Viger; Youxi Wu (Inf. Fusion, 2025)

ULDC: uncertainty-based learning for deep clustering. - Luyao Chang; Xinzheng Niu; Zhenghua Li; Zhiheng Zhang; Shenshen Li; Philippe Fournier-Viger (Appl. Intell., 2025)

Multi-Scale Temporal Graph Contrastive Embedding for urban region representation. - Yue Li; Xinzheng Niu; Jiahui Zhu; Shuai Wen; Fan Min 001 (Inf. Fusion, 2026)