Interaction Detection with Bayesian Decision Tree Ensembles. - Junliang Du; Antonio R. Linero (AISTATS, 2019)

Incorporating Grouping Information into Bayesian Decision Tree Ensembles. - Junliang Du; Antonio R. Linero (ICML, 2019)

An improved grey group decision-making approach. - Yong Liu 022; Jun-liang Du; Yuhong Wang 002 (Appl. Soft Comput., 2019)

Three way decisions based grey incidence analysis clustering approach for panel data and its application. - Yong Liu 022; Jun-liang Du; Ren-Shi Zhang; Jeffrey Yi-Lin Forrest (Kybernetes, 2019)

A novel grey multi-criteria three-way decisions model and its application. - Junliang Du; Sifeng Liu; Yong Liu 022 (Comput. Ind. Eng., 2021)

A limited cost consensus approach with fairness concern and its application. - Junliang Du; Sifeng Liu; Yong Liu 022 (Eur. J. Oper. Res., 2022)

Grey variable dual precision rough set model and its application. - Junliang Du; Sifeng Liu; Yong Liu 022 (Grey Syst. Theory Appl., 2022)

A novel approach to three-way conflict analysis and resolution with Pythagorean fuzzy information. - Junliang Du; Sifeng Liu; Yong Liu 022; Jinhong Yi (Inf. Sci., 2022)

Three-way failure mode and effect analysis approach for reliability management in multigranular unbalanced linguistic contexts. - Junliang Du; Sifeng Liu; Liangyan Tao; Wenjie Dong (Comput. Ind. Eng., 2023)

A novel fractional-order discrete grey Gompertz model for analyzing the aging population in Jiangsu Province, China. - Weiliang Zhang; Sifeng Liu; Lianyi Liu; R. M. Kapila Tharanga Rathnayaka; Naiming Xie; Junliang Du (Grey Syst. Theory Appl., 2023)

Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners. - Antonio R. Linero; Junliang Du (J. Comput. Graph. Stat., 2023)

Optimizing the Spare Unit Ordering Strategies for Replacement Under Constrained Availability From a Mathematical Perspective. - Wenjie Dong; Junliang Du; Chenchen Hua; Sifeng Liu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Grey relational analysis model with cross-sequences and its application in evaluating air quality index. - Ningning Lu; Sifeng Liu; Junliang Du; Zhigeng Fang; Wenjie Dong; Liangyan Tao; Yingjie Yang (Expert Syst. Appl., 2023)

Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation. - Mingxiu Sui; Jiacheng Hu; Tong Zhou; Zibo Liu; Likang Wen; Junliang Du (ICBASE, 2024)

Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm. - Guanming Huang; Aoran Shen; Yuxiang Hu; Junliang Du; Jiacheng Hu; Yingbin Liang (CoRR, 2024)

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis. - Junliang Du; Yiru Cang; Tong Zhou; Jiacheng Hu; Weijie He (CoRR, 2024)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs. - Junliang Du; Guiran Liu; Jia Gao; Xiaoxuan Liao; Jiacheng Hu; Linxiao Wu (CoRR, 2024)

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches. - Yinqiu Feng; Aoran Shen; Jiacheng Hu; Yingbin Liang; Shiru Wang; Junliang Du (CoRR, 2024)

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data. - Aoran Shen; Minghao Dai; Jiacheng Hu; Yingbin Liang; Shiru Wang; Junliang Du (CoRR, 2024)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing. - Wenyi Liu; Ziqi Zhang 004; Xinshi Li; Jiacheng Hu; Yuanshuai Luo; Junliang Du (CoRR, 2024)

Enhancing Quality Function Deployment Through the Integration of Rough Set and Ordinal Priority Approach: A Case Study in Electric Vehicle Manufacturing. - Junliang Du; Si-Feng Liu; Saad Ahmed Javed; Mark Goh; Zhen-Song Chen 002 (IEEE Trans. Engineering Management, 2024)

Implementing a bivariate ordering and replacement policy for deteriorating systems with two failure types. - Wenjie Dong; Junliang Du; Mengyue Yang; Sifeng Liu (Int. Trans. Oper. Res., 2024)

Minimum Cost Consensus-Based Social Network Group Decision Making With Altruism-Fairness Preferences and Ordered Trust Propagation. - Yu Feng; Yaoguo Dang; Junjie Wang; Junliang Du; Francisco Chiclana (IEEE Trans. Syst. Man Cybern. Syst., 2024)

CT-Semi-net: Segmentation of Infected Areas in Lung CT Images Based on Attention Mechanism and Semi-supervised Learning. - Haoze Du; Shumei Hou; Xiaolei Wang; Bin Sun; Dongfang Zhang; Junliang Du; Qingkai Hu; Weifeng Guo; Xianfang Wang (ISBRA (2), 2025)

A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection. - Xu Yan; Junliang Du; Xuan Li; Xiaoye Wang; Xiaoxuan Sun; Pochun Li; Hongye Zheng (IEEE Access, 2025)

A GRA-based heterogeneous multi-attribute group decision-making method with attribute interactions. - Yu Feng; Yaoguo Dang; Junjie Wang; Junliang Du; Francisco Chiclana (Comput. Ind. Eng., 2025)

RGB-Thermal cameras calibration based on Maximum Index Map. - Jiahui Wei; Zhongwen Zou; Wenjie Lai; Junliang Du; Jiaxue Zhao; Ziji Liu; Shengzhe Wang (Comput. Electr. Eng., 2025)

A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models. - Junliang Du; Shiyu Dou; Bohuan Yang; Jiacheng Hu; Tai An (CoRR, 2025)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion. - Jiacheng Hu; Tai An; Zidong Yu; Junliang Du; Yuanshuai Luo (CoRR, 2025)

Multi-Scale Transformer Architecture for Accurate Medical Image Classification. - Jiacheng Hu; Yanlin Xiang; Yang Lin; Junliang Du; Hanchao Zhang; Houze Liu (CoRR, 2025)

A Deep Learning Approach to Interface Color Quality Assessment in HCI. - Shixiao Wang; Runsheng Zhang; Junliang Du; Ran Hao; Jiacheng Hu (CoRR, 2025)

A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data. - Ran Hao; Yanlin Xiang; Junliang Du; Qingyuan He; Jiacheng Hu; Ting Xu (CoRR, 2025)

Improving Harmful Text Detection with Joint Retrieval and External Knowledge. - Zidong Yu; Shuo Wang; Nan Jiang; Weiqiang Huang; Xu Han; Junliang Du (CoRR, 2025)

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining. - Yingbin Liang; Lu Dai; Shuo Shi; Minghao Dai; Junliang Du; Haige Wang (CoRR, 2025)

Grey linguistic term sets for decision-making. - Junliang Du; Naiming Xie; Sifeng Liu; Mark Goh (Ann. Oper. Res., 2025)

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks. - Hongye Zheng; Yue Xing; Lipeng Zhu; Xu Han; Junliang Du; Wanyu Cui (CoRR, 2025)

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies. - Xu Han; Yumeng Sun; Weiqiang Huang; Hongye Zheng; Junliang Du (CoRR, 2025)

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment. - Xiandong Meng; Yan Wu; Yexin Tian; Xin Hu; Tianze Kang; Junliang Du (CoRR, 2025)

Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models. - Wuyang Zhang; Yexin Tian; Xiandong Meng; Mengjie Wang; Junliang Du (CoRR, 2025)