Junliang Du

According to our database, Junliang Du authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Knowledge Graph-Infused Fine-Tuning for Structured Reasoning in Large Language Models.

Wuyang Zhang, Yexin Tian, Xiandong Meng, Mengjie Wang, Junliang Du

CoRR, August, 2025

Collaborative Distillation Strategies for Parameter-Efficient Language Model Deployment.

Xiandong Meng, Yan Wu, Yexin Tian, Xin Hu, Tianze Kang, Junliang Du

CoRR, July, 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, May, 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, May, 2025

Grey linguistic term sets for decision-making.

Junliang Du, Naiming Xie, Sifeng Liu, Mark Goh

Ann. Oper. Res., May, 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, April, 2025

Improving Harmful Text Detection with Joint Retrieval and External Knowledge.

Zidong Yu, Shuo Wang, Nan Jiang, Weiqiang Huang, Xu Han, Junliang Du

CoRR, April, 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, March, 2025

A Deep Learning Approach to Interface Color Quality Assessment in HCI.

Shixiao Wang, Runsheng Zhang, Junliang Du, Ran Hao, Jiacheng Hu

CoRR, February, 2025

Multi-Scale Transformer Architecture for Accurate Medical Image Classification.

Jiacheng Hu, Yanlin Xiang, Yang Lin, Junliang Du, Hanchao Zhang, Houze Liu

CoRR, February, 2025

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion.

Jiacheng Hu, Tai An, Zidong Yu, Junliang Du, Yuanshuai Luo

CoRR, February, 2025

A Structured Reasoning Framework for Unbalanced Data Classification Using Probabilistic Models.

Junliang Du, Shiyu Dou, Bohuan Yang, Jiacheng Hu, Tai An

CoRR, February, 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 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

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

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

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

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., December, 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., July, 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

IEEE Trans. Engineering Management, 2024

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing.

Wenyi Liu, Ziqi Zhang, Xinshi Li, Jiacheng Hu, Yuanshuai Luo, 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 Few-Shot Learning with Integrated Data and GAN Model Approaches.

Yinqiu Feng, Aoran Shen, Jiacheng Hu, Yingbin Liang, Shiru Wang, Junliang Du

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

Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis.

Junliang Du, Yiru Cang, Tong Zhou, Jiacheng Hu, Weijie He

CoRR, 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-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation.

Mingxiu Sui, Jiacheng Hu, Tong Zhou, Zibo Liu, Likang Wen, Junliang Du

Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

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., December, 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

Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners.

Antonio R. Linero, Junliang Du

J. Comput. Graph. Stat., 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

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

2022

A novel approach to three-way conflict analysis and resolution with Pythagorean fuzzy information.

Junliang Du, Sifeng Liu, Yong Liu, Jinhong Yi

Inf. Sci., 2022

Grey variable dual precision rough set model and its application.

Junliang Du, Sifeng Liu, Yong Liu

Grey Syst. Theory Appl., 2022

A limited cost consensus approach with fairness concern and its application.

Junliang Du, Sifeng Liu, Yong Liu

Eur. J. Oper. Res., 2022

2021

A novel grey multi-criteria three-way decisions model and its application.

Junliang Du, Sifeng Liu, Yong Liu

Comput. Ind. Eng., 2021

2019

Three way decisions based grey incidence analysis clustering approach for panel data and its application.

Yong Liu, Jun-liang Du, Ren-Shi Zhang, Jeffrey Yi-Lin Forrest

Kybernetes, 2019

An improved grey group decision-making approach.

Yong Liu, Jun-liang Du, Yuhong Wang

Appl. Soft Comput., 2019

Incorporating Grouping Information into Bayesian Decision Tree Ensembles.

Junliang Du, Antonio R. Linero

Proceedings of the 36th International Conference on Machine Learning, 2019

Interaction Detection with Bayesian Decision Tree Ensembles.

Junliang Du, Antonio R. Linero

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019