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

Topology Potential-Based Parameter Selecting for Support Vector Machine. - Yi Lin; Shuliang Wang 001; Long Zhao 002; Dakui Wang (ADMA, 2014)

A New Filter Approach Based on Generalized Data Field. - Long Zhao 002; Shuliang Wang 001; Yi Lin (ADMA, 2014)

A new Feature Selection method for face recognition based on general data field. - Long Zhao 002; Shuliang Wang 001; Yi Lin (ASE BD&SI, 2015)

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

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)

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)

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

Fuzzy neural network optimization and network traffic forecasting based on improved differential evolution. - Yue Hou; Long Zhao 002; Huaiwei Lu (Future Gener. Comput. Syst., 2018)

Study on Iris Segmentation Algorithm Based on Dense U-Net. - Xiaoqiang Wu; Long Zhao 002 (IEEE Access, 2019)

A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels. - Tiantian Xu 002; Long Zhao 002 (IEEE Access, 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)

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

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)

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)

Fusion of Dynamic Hypergraph and Clinical Event for Sequential Diagnosis Prediction. - Xin Zhang; Xueping Peng; Hongjiao Guan; Long Zhao 002; Xinxiao Qiao; Wenpeng Lu (ICPADS, 2023)

Deep Feature Selection Algorithm for Classification of Gastric Cancer Subtypes. - Chengkun Si; Long Zhao 002; Jiao Liu (SMC, 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)

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)

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. - Suyuan Liu; Junpu Zhang; Yi Wen 001; Xihong Yang; Siwei Wang 001; Yi Zhang 104; En Zhu; Chang Tang; Long Zhao 002; Xinwang Liu 002 (AAAI, 2024)

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. - Zhufeng Shao; Shoujin Wang; Wenpeng Lu; Weiyu Zhang 001; Hongjiao Guan; Long Zhao 002 (ICASSP, 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)

Deep Fusion Clustering Network With Reliable Structure Preservation. - Lei Gong; Wenxuan Tu; Sihang Zhou 001; Long Zhao 002; Zhe Liu 001; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

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)

Incomplete Multiview Clustering Based on Consensus Information. - Jiayi Tang; Long Zhao 002; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)