Behavior-Based Simulation of Real-Time Crowd Evacuation. - Changbo Wang; Chenhui Li 001; Yuhua Liu; Jin Cui; Tianlun Zhang (CAD/Graphics, 2011)

G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning. - Tianlun Zhang; Xi Yang 009 (CoRR, 2018)

Evolutionary-Based Weighted Broad Learning System for Imbalanced Learning. - Tianlun Zhang; Yang Li 110; Rong Chen (ISKE, 2019)

Rich Feature Combination for Cost-Based Broad Learning System. - Tianlun Zhang; Rong Chen 003; Xi Yang 009; Shikai Guo (IEEE Access, 2019)

Identify Severity Bug Report with Distribution Imbalance by CR-SMOTE and ELM. - Shikai Guo; Rong Chen 003; Hui Li 014; Tianlun Zhang; Yaqing Liu (Int. J. Softw. Eng. Knowl. Eng., 2019)

Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution. - Rong Chen 003; Shikai Guo; Xi-Zhao Wang; Tianlun Zhang (IEEE Trans. Fuzzy Syst., 2019)

Noniterative Deep Learning: Incorporating Restricted Boltzmann Machine Into Multilayer Random Weight Neural Networks. - Xi-Zhao Wang; Tianlun Zhang; Ran Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Underwater image enhancement with Image Colorfulness Measure. - Hui Li; Xi Yang; ZhenMing Li; Tianlun Zhang (CoRR, 2020)

Deep joint neural model for single image haze removal and color correction. - Tianlun Zhang; Xi Yang; Xizhao Wang; Ran Wang 001 (Inf. Sci., 2020)

Gaussian prior based adaptive synthetic sampling with non-linear sample space for imbalanced learning. - Tianlun Zhang; Yang Li 224; Xizhao Wang (Knowl. Based Syst., 2020)

An uncertainty based incremental learning for identifying the severity of bug report. - Tianlun Zhang; Rong Chen 003; Xi Yang 009; Hongyu Zhu (Int. J. Mach. Learn. Cybern., 2020)

A Serial-Parallel Self-Attention Network Joint With Multi-Scale Dilated Convolution. - Gaihua Wang; Tianlun Zhang; Yingying Dai; Jinheng Lin; Cheng Lei (IEEE Access, 2021)

Vibration fault diagnosis based on stochastic configuration neural networks. - Jingna Liu; Rujiang Hao; Tianlun Zhang; Xizhao Wang (Neurocomputing, 2021)

Research on energy consumption prediction of office buildings based on comprehensive similar day and ensemble learning. - Junqi Yu; Tianlun Zhang; Anjun Zhao; Yunfei Xie (J. Intell. Fuzzy Syst., 2021)

Deep neural de-raining model based on dynamic fusion of multiple vision tasks. - Yulong Fan; Rong Chen; Yang Li 110; Tianlun Zhang (Soft Comput., 2021)

MAMask: Multi-feature aggregation instance segmentation with pyramid attention mechanism. - Gaihua Wang; Jinheng Lin; Qianyu Zhai; Cheng Lei; Yingying Dai; Tianlun Zhang (IET Image Process., 2022)

Feature fusion network based on siamese structure for change detection. - Gaihua Wang; Yingying Dai; Tianlun Zhang; Jinheng Lin; Lei Chen (J. Intell. Fuzzy Syst., 2022)

Influence of dust purge hole on thermal performance and particle deposition of a turbine blade with ribbed internal cooling channel. - Weichen Huang; Tianlun Zhang; Wenwu Zhou; Yingzheng Liu (J. Vis., 2023)

Model Uncertainty Estimation Based on a Dual-Module Neural Network Architecture. - Weiqing Guo; Tianlun Zhang; Dunlu Peng; Debby D. Wang (ICMLC, 2024)

Feature similarity learning based on fuzziness minimization for semi-supervised medical image segmentation. - Tianlun Zhang; Xinlei Zhou; Debby D. Wang; Xizhao Wang (Inf. Fusion, 2024)

Anchorwise Fuzziness Modeling in Convolution-Transformer Neural Network for Left Atrium Image Segmentation. - Tianlun Zhang; Xizhao Wang (IEEE Trans. Fuzzy Syst., 2024)

Semi-supervised segmentation on medical images with pseudo label calibration and neural process. - Tianlun Zhang; Yuxuan Luo; Xizhao Wang; Sam Kwong (Neural Networks, 2025)