Research on Two-Level Inventory Optimization Algorithm for Repairable Spare Parts Based on Improved Differential Evolution. - Tao Gu 009; Sujian Li; Jie Li; Jie Jiao (BIC-TA (1), 2019)

Multi-Query Optimization in RDF Q/A System. - Jie Jiao; Shujun Wang; Xiaowang Zhang; Zhiyong Feng 002 (ISWC (Satellites), 2019)

Answering Questions over RDF by Neural Machine Translating. - Shujun Wang; Jie Jiao; Yuhan Li; Xiaowang Zhang; Zhiyong Feng 002 (ISWC (Demos/Industry), 2020)

Learning-based Question Translation Performance Prediction. - Shujun Wang; Jie Jiao; Weikang Zhou; Xiaowang Zhang; Zhiyong Feng 002 (ISWC (Demos/Industry), 2020)

Towards Incomplete SPARQL Query in RDF Question Answering - A Semantic Completion Approach. - Jinhui Pang; Jie Jiao; Guangxi Ji; Yunjie Wu; Ding Zhang; Shujun Wang (WWW (Companion Volume), 2020)

A Semantic Similarity-based Subgraph Matching Method for Improving Question Answering over RDF. - Shujun Wang; Jie Jiao; Xiaowang Zhang (WWW (Companion Volume), 2020)

A Heterogeneous HEVC Video Encoder System Based on Two-Level CPU-FPGA Computing Architecture. - Yudi Qiu; Jie Jiao; Yuxin Tang; Yanwei Liu; Jianyu Ren; Xiaoyang Zeng; Yibo Fan (ASICON, 2021)

MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems. - Lin Ma 006; William Zhang 001; Jie Jiao; Wuwen Wang; Matthew Butrovich; Wan Shen Lim; Prashanth Menon; Andrew Pavlo (SIGMOD Conference, 2021)

gMatch: Knowledge base question answering via semantic matching. - Jie Jiao; Shujun Wang; Xiaowang Zhang; Longbiao Wang; Zhiyong Feng 002; Junhu Wang (Knowl. Based Syst., 2021)

A Multi-Source Data Fusion Decision-Making Method for Disease and Pest Detection of Grape Foliage Based on ShuffleNet V2. - Rui Yang; Xiangyu Lu; Jing Huang; Jun Zhou; Jie Jiao; Yufei Liu; Fei Liu 008; Baofeng Su; Peiwen Gu (Remote. Sens., 2021)

A hybrid model of ghost-convolution enlightened transformer for effective diagnosis of grape leaf disease and pest. - Xiangyu Lu; Rui Yang; Jun Zhou; Jie Jiao; Fei Liu 008; Yufei Liu; Baofeng Su; Peiwen Gu (J. King Saud Univ. Comput. Inf. Sci., 2022)

Tr-Predictior: An Ensemble Transfer Learning Model for Small-Sample Cloud Workload Prediction. - Chunhong Liu; Jie Jiao; Weili Li; Jingxiong Wang; Junna Zhang (Entropy, 2022)

A Domain Adaptation Deep Learning Network for EEG-Based Motor Imagery Classification. - Jie Jiao; Yijie Pan; Hefan Zhou; Qingqing Chen; Wangliang Zhou; Peipei Gu; Meiyan Xu (ICAI (1), 2023)

A Multi-Scale Spatiotemporal Capsule Network for Epilepsy Seizure Detection. - Wangliang Zhou; Yijie Pan; Hefan Zhou; Qingqing Chen; Jie Jiao; Meiyan Xu; Peipei Gu (ICAI (1), 2023)

Headway-Based Bus Bunching Prediction Using LSTM with Attention. - Jie Jiao; Pengtao Shen; Yong Zhang (ICITE, 2023)

Overflow Research of a New Hybrid Traffic Flow Considering Routing. - Pengtao Shen; Jie Jiao; Yong Zhang (ICITE, 2023)

A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification. - Jie Jiao; Meiyan Xu; Qingqing Chen; Hefan Zhou; Wangliang Zhou (CoRR, 2023)

Tag-Sharer-Fusion Directory: A Scalable Coherence Directory With Flexible Entry Formats. - Yudi Qiu; Jie Jiao; Xiaoyang Zeng; Yibo Fan (IEEE Trans. Parallel Distributed Syst., 2023)

Digital Grid Investment Risk Prediction and Identification under PSO-FAHP Based Intelligent Algorithm. - Yuhong Zhang; Ying Du; Ying Zhou; Hanjing Liu; Ping Zhou; Jie Jiao (PEAI, 2024)

Research on the prediction of English topic richness in the context of multimedia data. - Jie Jiao; Hanan Aljuaid (PeerJ Comput. Sci., 2024)

Scalable short-entry dual-grain coherence directories with flexible region granularity. - Yuxin Tang; Yudi Qiu; Yanwei Liu; Jie Jiao; Peng Zhang; Yibo Fan (J. Supercomput., 2024)

REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification. - Meiyan Xu; Jie Jiao; Duo Chen; Yi Ding 012; Qingqing Chen; Jipeng Wu; Peipei Gu; Yijie Pan; Xueping Peng; Naian Xiao; Bokai Yang; Qiyuan Li; et al. (IEEE J. Biomed. Health Informatics, 2025)