A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information. - Yu-Ting Bai; Baihai Zhang; Xiaoyi Wang 001; Xue-Bo Jin 001; Jiping Xu; Ting-Li Su 001; Zhao-Yang Wang (Sensors, 2016)

Cooperative Localization With Bounding Constraints in Mobile Wireless Sensor Networks. - Zhaoyang Wang; Baihai Zhang; Xiaoyi Wang 001; Senchun Chai; Yuting Bai (IEEE Access, 2018)

3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition. - Binbin Wang; Tingli Su 001; Xue-bo Jin 001; Jian-Lei Kong; Yu-Ting Bai (Complex., 2018)

Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion. - Shengkai Liu; Ting-Li Su 001; Binbin Wang; Shiyu Peng; Xue-bo Jin 001; Yu-Ting Bai; Dou Chao (Int. J. Model. Identif. Control., 2018)

Compound Autoregressive Network for Prediction of Multivariate Time Series. - Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong; Yutian Lu (Complex., 2019)

Hard Decision-Based Cooperative Localization for Wireless Sensor Networks. - Zhaoyang Wang; Xuebo Jin 001; Xiaoyi Wang 001; Jiping Xu; Yuting Bai (Sensors, 2019)

Improvements of Multihop Localization Algorithm for Wireless Sensor Networks. - Zhaoyang Wang; Baihai Zhang; Xiaoyi Wang 001; Xuebo Jin 001; Yuting Bai (IEEE Syst. J., 2019)

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization. - Xue-Bo Jin 001; Hong-Xing Wang; Xiaoyi Wang 001; Yu-Ting Bai; Ting-Li Su 001; Jian-Lei Kong (Complex., 2020)

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making. - Xiaoyi Wang 001; Yi Yang; Yu-Ting Bai; Jiabin Yu; Zhiyao Zhao; Xue-bo Jin 001 (Complex., 2020)

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model. - Yuting Bai; Xiaoyi Wang 001; Xue-bo Jin 001; Zhiyao Zhao; Baihai Zhang (Sensors, 2020)

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model. - Xue-Bo Jin 001; Nian-Xiang Yang; Xiaoyi Wang 001; Yuting Bai; Ting-Li Su 001; Jian-Lei Kong (Sensors, 2020)

Deep Fusion Predictive Modeling Based on Noise Analysis. - Xue-bo Jin 001; Jia-hui Zhang; Tingli Su 001; Jian-Lei Kong; Yuting Bai (ICCAIS, 2021)

Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. - Xue-Bo Jin 001; Jia-hui Zhang; Ting-Li Su 001; Yu-Ting Bai; Jian-Lei Kong; Xiaoyi Wang 001 (Comput. Intell. Neurosci., 2021)

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy. - Xue-bo Jin 001; Xing-Hong Yu; Tingli Su 001; Dan-Ni Yang; Yu-Ting Bai; Jian-Lei Kong; Li Wang 068 (Entropy, 2021)

Diagnostic and prognostic value of HSPD1 in oesophageal cancer. - Xin Chen; Can Luo; Yuting Bai; Xi Zhou; Lei Xu; Xiaolan Guo; Qing Wu; Xiaowu Zhong (Int. J. Data Min. Bioinform., 2021)

Parallel deep prediction with covariance intersection fusion on non-stationary time series. - Zhigang Shi; Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong (Knowl. Based Syst., 2021)

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods. - Xuebo Jin 001; Ruben Jonhson Robert Jeremiah; Ting-Li Su 001; Yu-Ting Bai; Jian-Lei Kong (Sensors, 2021)

Multi-Channel Fusion Classification Method Based on Time-Series Data. - Xue-bo Jin 001; Ai-Qiang Yang; Tingli Su 001; Jian-Lei Kong; Yuting Bai (Sensors, 2021)

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting. - Xue-bo Jin 001; Wentao Gong; Jian-Lei Kong; Yu-Ting Bai; Ting-Li Su 001 (Entropy, 2022)

Deep Prediction Model Based on Dual Decomposition with Entropy and Frequency Statistics for Nonstationary Time Series. - Zhigang Shi; Yuting Bai; Xuebo Jin 001; Xiaoyi Wang 001; Tingli Su 001; Jian-Lei Kong (Entropy, 2022)

Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems. - Zhiyao Zhao; Yuqin Zhou; Xiaoyi Wang 001; Zhaoyang Wang; Yuting Bai (Expert Syst. Appl., 2022)

Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages. - Yuting Bai; Zhiyao Zhao; Xiaoyi Wang 001; Xue-bo Jin 001; Baihai Zhang (Neural Process. Lett., 2022)

A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment. - Jiabin Yu; Guandong Liu; Jiping Xu; Zhiyao Zhao; Zhihao Chen; Meng Yang; Xiaoyi Wang 001; Yuting Bai (Sensors, 2022)

A Decimal Scaling Normalization Encoder-Decoder Deep Network for Modeling in the Nonlinear Systems. - Ting-Li Su 001; Bin Xue; Xue-Bo Jin 001; Jian-Lei Kong; Yu-Ting Bai; Hui-Jun Ma (RICAI, 2023)

Optimal Deployment for Hybrid Sensor Networks Based on Efficient Node Configuration. - Qian Sun; Xiao Peng; Xiaoyi Wang 001; Zhiyao Zhao; Jiping Xu; Li Wang 068; Huiyan Zhang 002; Jiabin Yu; Yuting Bai (Int. J. Intell. Syst., 2023)

State of art on state estimation: Kalman filter driven by machine learning. - Yuting Bai; Bin Yan; Chenguang Zhou; Tingli Su 001; Xuebo Jin 001 (Annu. Rev. Control., 2023)

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. - Xue-bo Jin 001; Zhong-Yao Wang; Jian-Lei Kong; Yu-Ting Bai; Ting-Li Su 001; Hui-Jun Ma; Prasun Chakrabarti (Entropy, 2023)

Location estimation based on feature mode matching with deep network models. - Yu-Ting Bai; Wei Jia; Xue-bo Jin 001; Ting-Li Su 001; Jian-Lei Kong (Frontiers Neurorobotics, 2023)

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System. - Xue-bo Jin 001; Wei Chen; Hui-Jun Ma; Jian-Lei Kong; Ting-Li Su 001; Yu-Ting Bai (Sensors, 2023)

AdaHOSVD: an adaptive higher-order singular value decomposition method for point cloud denoising. - Lihua Hu; Wenhao Liang; Yuting Bai; Jifu Zhang (Pattern Anal. Appl., 2023)

SpaGIC: graph-informed clustering in spatial transcriptomics via self-supervised contrastive learning. - Wei Liu; Bo Wang; Yuting Bai; Xiao Liang; Li Xue; Jiawei Luo 001 (Briefings Bioinform., 2024)

STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. - Bo Wang; Yahui Long; Yuting Bai; Jiawei Luo 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2024)

Fuzzy adaptive-normalized deep encoder-decoder network: Medium and long-term predictor of temperature and humidity in smart greenhouses. - Hui-Jun Ma; Xue-Bo Jin 001; Zi-Meng Li; Yu-Ting Bai (Comput. Electron. Agric., 2024)

A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting. - Yulei Zhang; Yuting Bai; Xuebo Jin 001; Zhiyao Zhao; Tingli Su 001 (Eng. Appl. Artif. Intell., 2024)

Exploring the pharmacological mechanism of Artemisia annua herba based on network pharmacology. - Yuting Bai; Yulei Xie; Xiaowu Zhong; Can Luo; Qing Wu; Xin Chen (Int. J. Data Min. Bioinform., 2024)

AMNet: a new RGB-D instance segmentation network based on attention and multi-modality. - Mingyang Wang; Lihua Hu; Yuting Bai; Xiaoling Yao; Jianhua Hu; Sulan Zhang (Vis. Comput., 2024)

Improving Multimodal Large Language Models through Combining Resampler and MLP Projections. - Zixing Bai; Yuting Bai (ICASSP, 2025)

Exploring the Role of CLIP Global Visual Features in Multimodal Large Language Models. - Zixing Bai; Yuting Bai (ICASSP, 2025)

Fusion Network Model Based on Broad Learning System for Multidimensional Time-Series Forecasting. - Yuting Bai; Xinyi Xue; Xuebo Jin 001; Zhiyao Zhao; Yulei Zhang (Int. J. Intell. Syst., 2025)

scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data. - Zhiyi Zou; Ying Liu 027; Yuting Bai; Jiawei Luo 001; Zhaolei Zhang (PLoS Comput. Biol., 2025)

TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis. - Xue-bo Jin 001; Longfei Gao; Anshuo Tong; Zhengyang Chen; Jianlei Kong; Ning Sun; Hui-Jun Ma; Qiang Wang; Yuting Bai; Tingli Su 001 (CoRR, 2025)