Mining Negative Association Rules in Multi-database. - Shiju Shang; Xiangjun Dong 001; Runian Geng; Long Zhao 002 (FSKD (2), 2008)

e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. - Xiangjun Dong 001; Zhigang Zheng; Longbing Cao; Yanchang Zhao; Chengqi Zhang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Mining frequent patterns with multiple minimum supports using basic Apriori. - Tiantian Xu 002; Xiangjun Dong 001 (ICNC, 2013)

A Context-Aware Mobile User Behavior Based Preference Neighbor Finding Approach for Personalized Information Retrieval. - Qian Gao 003; Xiangjun Dong 001; Deqian Fu (FNC/MobiSPC, 2015)

SAPNSP: Select actionable positive and negative sequential patterns based on a contribution metric. - Chuanlu Liu; Xiangjun Dong 001; Caoyuan Li; Yan Li (FSKD, 2015)

Mining interesting infrequent and frequent itemsets based on multiple level minimum supports and minimum correlation strength. - Xiangjun Dong 001; Chuanlu Liu (Int. J. Serv. Technol. Manag., 2015)

Select actionable positive or negative sequential patterns. - Xiangjun Dong 001; Chuanlu Liu; Tiantian Xu 002; Dakui Wang (J. Intell. Fuzzy Syst., 2015)

Coupled Attribute Similarity Learning on Categorical Data. - Can Wang 004; Xiangjun Dong 001; Fei Zhou 001; Longbing Cao; Chi-Hung Chi (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Context-awareness Based Dynamic Personalized Hierarchical Ontology Modeling Approach. - Qian Gao 003; Xiangjun Dong 001 (FNC/MobiSPC, 2016)

e-NSP: Efficient negative sequential pattern mining. - Longbing Cao; Xiangjun Dong 001; Zhigang Zheng (Artif. Intell., 2016)

Supervised feature selection method via potential value estimation. - Long Zhao 002; LinFeng Jiang; Xiangjun Dong 001 (Clust. Comput., 2016)

A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction. - Qian Gao 003; Deqian Fu; Xiangjun Dong 001 (Sensors, 2016)

Correction: Gao, Q. et al. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction. Sensors 2016, 2, 143. - Qian Gao 003; Deqian Fu; Xiangjun Dong 001 (Sensors, 2016)

Analysis of medical and healthcare data based on positive and negative association rules. - Chenlu Li; Feng Hao 002; Long Zhao 002; Lizhe Song; Xiangjun Dong 001 (ICNC-FSKD, 2017)

HUNSPM: An efficient algorithm for mining high utility negative sequential patterns. - Tongxuan Li; Tiantian Xu 002; Xiangjun Dong 001 (ICNC-FSKD, 2017)

NegI-NSP: Negative sequential pattern mining based on loose constraints. - Ping Qiu; Long Zhao 002; Xiangjun Dong 001 (IECON, 2017)

Effective algorithm for determining the number of clusters and its application in image segmentation. - Jialun Pei; Long Zhao 002; Xiangjun Dong 001; Xue Dong (Clust. Comput., 2017)

K- local maximum margin feature extraction algorithm for churn prediction in telecom. - Long Zhao 002; Qian Gao 003; Xiangjun Dong 001; Aimei Dong; Xue Dong (Clust. Comput., 2017)

e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. - Yongshun Gong; Tiantian Xu 002; Xiangjun Dong 001; Guohua Lv (Int. J. Pattern Recognit. Artif. Intell., 2017)

Mining High Utility Sequential Patterns with Negative Item Values. - Tiantian Xu 002; Xiangjun Dong 001; Jianliang Xu; Xue Dong (Int. J. Pattern Recognit. Artif. Intell., 2017)

E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. - Tiantian Xu 002; Xiangjun Dong 001; Jianliang Xu; Yongshun Gong (Int. J. Pattern Recognit. Artif. Intell., 2017)

The combined cloud model for edge detection. - Long Zhao 002; Xue Dong; Weiyang Chen; LinFeng Jiang; Xiangjun Dong 001 (Multim. Tools Appl., 2017)

Application of Negative and Positive Association Rules in Mental Health Analysis of College Students. - Feng Hao 002; Long Zhao 002; Tiantian Xu 002; Xiangjun Dong 001 (ICNC-FSKD, 2018)

Automatic Classification of Chinese Herbal Based on Deep Learning Method. - Shupeng Liu; Weiyang Chen; Xiangjun Dong 001 (ICNC-FSKD, 2018)

Efficient High Utility Negative Sequential Patterns Mining in Smart Campus. - Tiantian Xu 002; Tongxuan Li; Xiangjun Dong 001 (IEEE Access, 2018)

Rapid and Efficient Bug Assignment Using ELM for IOT Software. - Ying Yin; Xiangjun Dong 001; Tiantian Xu 002 (IEEE Access, 2018)

An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria. - Long Zhao 002; Xiangjun Dong 001 (IEEE Access, 2018)

Erratum: "Mining High Utility Sequential Patterns with Negative Item Values". - Tiantian Xu 002; Xiangjun Dong 001; Jianliang Xu; Xue Dong (Int. J. Pattern Recognit. Artif. Intell., 2018)

Mining High Utility Sequential Patterns Using Multiple Minimum Utility. - Tiantian Xu 002; Jianliang Xu; Xiangjun Dong 001 (Int. J. Pattern Recognit. Artif. Intell., 2018)

F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage. - Xiangjun Dong 001; Yongshun Gong; Longbing Cao (Pattern Recognit., 2018)

Transform Domain Based Medical Image Super-resolution via Deep Multi-scale Network. - Chunpeng Wang 001; Simiao Wang; Bin Ma 003; Jian Li 034; Xiangjun Dong 001; Zhiqiu Xia (ICASSP, 2019)

Campus Data Analysis Based on Positive and Negative Sequential Patterns. - Xiaoqi Jiang; Tiantian Xu 002; Xiangjun Dong 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

Exploring the Utilization of Gradient Information in SIFT Based Local Image Descriptors. - Guangyao Dong; Han Yan; Guohua Lv; Xiangjun Dong 001 (Symmetry, 2019)

Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. - Xiangjun Dong 001; Ping Qiu; Jinhu Lü; Longbing Cao; Tiantian Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. - Yongshun Gong; Zhibin Li 002; Jian Zhang 002; Wei Liu 007; Bei Chen; Xiangjun Dong 001 (IJCAI, 2020)

An efficient method for pruning redundant negative and positive association rules. - Xiangjun Dong 001; Feng Hao 002; Long Zhao 002; Tiantian Xu 002 (Neurocomputing, 2020)

Research on an expression classification method based on a probability graph model. - Jinguang Sun; Tao Li; Hua Yan; Xiangjun Dong 001 (Multim. Tools Appl., 2020)

Genetic Similarity Analysis Based on Positive and Negative Sequence Patterns of DNA. - Yue Lu; Long Zhao 002; Zhao Li; Xiangjun Dong 001 (Symmetry, 2020)

e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules. - Mengjiao Zhang; Tiantian Xu 002; Zhao Li; Xiqing Han; Xiangjun Dong 001 (Symmetry, 2020)

e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns. - Xiangjun Dong 001; Yongshun Gong; Longbing Cao (IEEE Trans. Cybern., 2020)

Effective and Efficient Dense Subgraph Query in Large-Scale Social Internet of Things. - Yuhai Zhao; Xiangjun Dong 001; Ying Yin (IEEE Trans. Ind. Informatics, 2020)

Multi-objective evolutionary clustering for large-scale dynamic community detection. - Ying Yin; Yuhai Zhao; He Li; Xiangjun Dong 001 (Inf. Sci., 2021)

Face Age Predictions by combining Local and Global Facial Features. - Kaiyan Chen; Xiangjun Dong 001; Weiyang Chen (BIBM, 2022)

Mining Negative Sequential Rules from Negative Sequential Patterns. - Chuanhou Sun; Xiaoqi Jiang; Xiangjun Dong 001; Tiantian Xu 002; Long Zhao 002; Zhao Li; Yuhai Zhao (DASFAA (1), 2022)

Classifying the multi-omics data of gastric cancer using a deep feature selection method. - Yanyu Hu; Long Zhao 002; Zhao Li; Xiangjun Dong 001; Tiantian Xu 002; Yuhai Zhao (Expert Syst. Appl., 2022)

AENAR: An aspect-aware explainable neural attentional recommender model for rating predication. - Tianwei Zhang; Chuanhou Sun; Zhiyong Cheng 001; Xiangjun Dong 001 (Expert Syst. Appl., 2022)

A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. - Boxin Guan; Tiantian Xu 002; Yuhai Zhao; Yuan Li; Xiangjun Dong 001 (Knowl. Based Syst., 2022)

A Novel Knowledge Distillation Method for Self-Supervised Hyperspectral Image Classification. - Qiang Chi; Guohua Lv; Guixin Zhao; Xiangjun Dong 001 (Remote. Sens., 2022)

Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. - Xu Zhang 039; Yongshun Gong; Xinxin Zhang 004; Xiaoming Wu; Chengqi Zhang; Xiangjun Dong 001 (CIKM, 2023)

Ga-RFR: Recurrent Feature Reasoning with Gated Convolution for Chinese Inscriptions Image Inpainting. - Long Zhao 002; Yuhao Lou; Zonglong Yuan; Xiangjun Dong 001; Xiaoqiang Ren; Hongjiao Guan (ICANN (2), 2023)

Few-Shot Hyperspectral Image Classification Based on Cross-Domain Spectral Semantic Relation Transformer. - Mengxin Cao; Guixin Zhao; Aimei Dong; Guohua Lv; Ying Guo; Xiangjun Dong 001 (ICIP, 2023)

Few-Shot Hyperspectral Image Classification with Spectral-Spatial Feature Fusion Based on Fuzzy Broad Learning System. - Xiaopei Hu; Guixin Zhao; Aimei Dong; Guohua Lv; Yi Zhai; Ying Guo; Xiangjun Dong 001 (ICIP, 2023)

Mining Interesting Negative Sequential Patterns Based on Influence. - Fengling Cui; Xiaoqiang Ren; Xiangjun Dong 001 (IEEE Access, 2023)

An Effective Method for Mining Negative Sequential Patterns From Data Streams. - Nannan Zhang; Xiaoqiang Ren; Xiangjun Dong 001 (IEEE Access, 2023)

Extended natural neighborhood for SMOTE and its variants in imbalanced classification. - Hongjiao Guan; Long Zhao 002; Xiangjun Dong 001; Chuan Chen (Eng. Appl. Artif. Intell., 2023)

Dual attentive graph convolutional networks for cross-domain recommendation. - Yu Zhang; Fan Liu 008; Yupeng Hu; Xiaoli Li; Xiangjun Dong 001; Zhiyong Cheng 001 (J. Intell. Fuzzy Syst., 2023)

Toward Better Structure and Constraint to Mine Negative Sequential Patterns. - Xinming Gao; Yongshun Gong; Tiantian Xu 002; Jinhu Lü; Yuhai Zhao; Xiangjun Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. - Ping Qiu; Yongshun Gong; Yuhai Zhao; Longbing Cao; Chengqi Zhang; Xiangjun Dong 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Improved ReliefF-based feature selection algorithm for cancer histology. - Jiao Liu; Long Zhao 002; Chengkun Si; Hongjiao Guan; Xiangjun Dong 001 (Biomed. Signal Process. Control., 2023)

Dual objective bounded abstaining model to control performance for safety-critical applications. - Hongjiao Guan; Xiangjun Dong 001; Chuan Chen; Long Zhao 002; Xiaoqiang Ren (Eng. Appl. Artif. Intell., 2023)

Spatio-temporal fusion and contrastive learning for urban flow prediction. - Xu Zhang 039; Yongshun Gong; Chengqi Zhang; Xiaoming Wu; Ying Guo; Wenpeng Lu; Long Zhao 002; Xiangjun Dong 001 (Knowl. Based Syst., 2023)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Wenxuan Tu; Siwei Wang 001; Yue Liu 008; Meng Liu 014; Long Zhao 002; Xiangjun Dong 001; Xinwang Liu 002 (AAAI, 2024)

Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification. - Xiaopei Hu; Guixin Zhao; Lu Yuan; Xiangjun Dong 001; Aimei Dong (ICANN (2), 2024)

VEBiLSTM: A Neural Network for Field-Road Classification Using Enhanced Spatiotemporal Features. - Fengqi Hao; Xiyuan Zhao; Cunxiang Bian; Hoiio Kong; Xiangjun Dong 001; Jinqiang Bai (ICONIP (6), 2024)

SN-RNSP: Mining self-adaptive nonoverlapping repetitive negative sequential patterns in transaction sequences. - Chuanhou Sun; Yongshun Gong; Ying Guo; Long Zhao 002; Hongjiao Guan; Xinwang Liu 002; Xiangjun Dong 001 (Knowl. Based Syst., 2024)

Mining actionable repetitive positive and negative sequential patterns. - Chuanhou Sun; Xiaoqiang Ren; Xiangjun Dong 001; Ping Qiu; Xiaoming Wu; Long Zhao 002; Ying Guo; Yongshun Gong; Chengqi Zhang (Knowl. Based Syst., 2024)

scCAN: Clustering With Adaptive Neighbor-Based Imputation Method for Single-Cell RNA-Seq Data. - Shujie Dong; Yuansheng Liu; Yongshun Gong; Xiangjun Dong 001; Xiangxiang Zeng (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Spatial-Spectral-Semantic Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. - Mengxin Cao; Xu Zhang 039; Jinyong Cheng; Guixin Zhao; Wei Li 032; Xiangjun Dong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral-Spatial-Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification. - Mengxin Cao; Guixin Zhao; Guohua Lv; Aimei Dong; Ying Guo; Xiangjun Dong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. - Ke Liang 006; Yue Liu 008; Sihang Zhou 001; Wenxuan Tu; Yi Wen 001; Xihong Yang; Xiangjun Dong 001; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Spatial-temporal regularized tensor decomposition method for traffic speed data imputation. - Haojie Xie; Yongshun Gong; Xiangjun Dong 001 (Int. J. Data Sci. Anal., 2024)

TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining. - Dun Lan; Chuanhou Sun; Xiangjun Dong 001; Ping Qiu; Yongshun Gong; Xinwang Liu 002; Philippe Fournier-Viger; Chengqi Zhang (Inf. Process. Manag., 2025)

Enhancing urban flow prediction via mutual reinforcement with multi-scale regional information. - Xu Zhang 039; Mengxin Cao; Yongshun Gong; Xiaoming Wu; Xiangjun Dong 001; Ying Guo; Long Zhao 002; Chengqi Zhang (Neural Networks, 2025)

Missing traffic data imputation with a conditional diffusion framework. - Jie Li; Dun Lan; Yongshun Gong; Long Zhao 002; Wenpeng Lu; Yuhai Zhao; Xiangjun Dong 001; Xiaoming Wu (Expert Syst. Appl., 2026)