Blank Nodes in RDF. - Lei Chen; Haifei Zhang; Ying Chen; Wenping Guo (J. Softw., 2012)

R2RML Processor for Materializing RDF View of Relational Data: Algorithms and Experiments. - Shufeng Zhou; Zhuoming Xu; Yuyan Ni; Haifei Zhang (IEEE WISA, 2013)

A Query Driven Method of Mapping from Global Ontology to Local Ontology in Ontology-based Data Integration. - Haifei Zhang (J. Softw., 2014)

An off-policy least square algorithms with eligibility trace based on importance reweighting. - Haifei Zhang; Ying Hong; Jianlin Qiu (Clust. Comput., 2017)

Bank Card Number Recognition System based on Deep Learning. - Yefan Gao; Chao Xu; Zhan Shi; Haifei Zhang (AIAM (ACM), 2019)

Prediction of MVP Attribution in NBA Regular Match Based on BP Neural Network Model. - Jiazheng Hu; Haifei Zhang; Jianlin Qiu (AIAM (ACM), 2019)

Design and Implementation of GIS+BIM-Based Digital Campus System. - Haifei Zhang; Richeng Tang; Jianlin Qiu; Xiangyang Qiu (AIAM (IEEE), 2019)

Research and Application of Instrument Reading Recognition Algorithm Based on Deep Learning. - Liting Lei; Haifei Zhang; Xiujing Li (AIAM (IEEE), 2021)

Cautious Random Forests: a New Decision Strategy and some Experiments. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (ISIPTA, 2021)

Explications contrefactuelles pour les forêts aléatoires prudentes. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (LFA, 2022)

Forêts aléatoires prudentes : une nouvelle stratégie de décision et quelques expériences. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (LFA, 2022)

Two-Stage Vehicle Routing Optimization for Logistics Distribution Based on HSA-HGBS Algorithm. - Qi Sun; Haifei Zhang; Jianwu Dang (IEEE Access, 2022)

Combining affinity propagation with differential evolution for three-echelon logistics distribution optimization. - Haifei Zhang; Hongwei Ge; Jieming Yang; Shuzhi Su; Yubing Tong (Appl. Soft Comput., 2022)

A Rectal CT Tumor Segmentation Method Based on Improved U-Net. - Haowei Dong; Haifei Zhang; Fang Wu; Jianlin Qiu; Jian Zhang; Haoyu Wang (Int. J. Pattern Recognit. Artif. Intell., 2022)

An effective feature extraction method via spectral-spatial filter discrimination analysis for hyperspectral image. - Li Li; Jianqiang Gao; Hongwei Ge; Yixin Zhang; Haifei Zhang (Multim. Tools Appl., 2022)

Learning Sets of Probabilities Through Ensemble Methods. - Vu-Linh Nguyen; Haifei Zhang; Sébastien Destercke (ECSQARU, 2023)

Cautious Decision-Making for Tree Ensembles. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (ECSQARU, 2023)

Cautious weighted random forests. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (Expert Syst. Appl., 2023)

Explainable cautious classifiers. (Classifieurs prudents explicables). - Haifei Zhang (2023)

An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications. - Wentao Qu; Xianchao Xiu; Haifei Zhang; Jun Fan (J. Comput. Appl. Math., 2023)

SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions. - Haifei Zhang (BELIEF, 2024)

An Intelligent Control Method for Servo Motor Based on Reinforcement Learning. - Depeng Gao; Shuai Wang; Yuwei Yang; Haifei Zhang; Hao Chen; Xiangxiang Mei; Shuxi Chen; Jianlin Qiu (Algorithms, 2024)

Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows. - Haifei Zhang; Hong-Wei Ge; Ting Li; Shuzhi Su; Yubing Tong (Intell. Data Anal., 2024)

A text classification network model combining machine learning and deep learning. - Hao Chen; Haifei Zhang; Yuwei Yang; Long He (Int. J. Sens. Networks, 2024)

Mapping enhancer and chromatin accessibility landscapes charts the regulatory network of Alzheimer's disease. - Dahua Xu; Chunrui Zhang 003; Xiaoman Bi; Jiankai Xu; Shengnan Guo; Peihu Li; Yutong Shen; Jiale Cai; Nihui Zhang; Guanghui Tian; Haifei Zhang; Hong Wang; et al. (Comput. Biol. Medicine, 2024)

A study on a target detection model for autonomous driving tasks. - Hao Chen; Byung-Won Min; Haifei Zhang (IET Image Process., 2024)

Speech Fatigue Recognition Under Small Samples Based on Generative Adversarial Networks and BLSTM. - Shuxi Chen; Jianlin Qiu; Haifei Zhang; Yifan Yu; Hao Chen; Yiyang Sun (Int. J. Pattern Recognit. Artif. Intell., 2024)

A recommendation algorithm model based on the fusion of group behavior and temporal feature. - Jie Wang 106; Xinyu Tong; Xiaoya Ma; Mengying Kong; Haifei Zhang; Hailei Yuan (GAIIS, 2025)

Efficient and effective counterfactual explanations for random forests. - Haifei Zhang; Jinfeng Zhong 001 (Expert Syst. Appl., 2025)

Combining decomposition and graph capsule network for multi-objective vehicle routing optimization. - Haifei Zhang; Hongwei Ge; Ting Li; Lujie Zhou; Shuzhi Su; Yubing Tong (Intell. Data Anal., 2025)

Cautious classifier ensembles for set-valued decision-making. - Haifei Zhang; Benjamin Quost; Marie-Hélène Masson (Int. J. Approx. Reason., 2025)

A road traffic sign recognition method based on improved YOLOv5. - Lu Shi; Haifei Zhang (Int. J. Sens. Networks, 2025)

Automatic detection of rectal cancer lesion images based on the improved MR-U-Net deep learning network. - Fang Wu; Yihua Gu; Haifei Zhang (Int. J. Sens. Networks, 2025)

Deep forest model in medicine: A visual analysis based on literature data. - Xiangxiang Mei; Hao Shen; Haifei Zhang; Xiaodan Cai; Fang Wu (J. Comput. Methods Sci. Eng., 2025)

Credal ensembling in multi-class classification. - Vu-Linh Nguyen; Haifei Zhang; Sébastien Destercke (Mach. Learn., 2025)

A manipulator control method based on deep deterministic policy gradient with parameter noise. - Haifei Zhang; Jian Xu; Liting Lei; Fang Wu; Lanmei Qian; Jianlin Qiu (Neural Comput. Appl., 2025)