Jie Wang

According to our database, Jie Wang authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Survey on Rough Feature Selection: Recent Advances and Challenges.

Keyu Liu, Xibei Yang, Weiping Ding, Hengrong Ju, Tianrui Li, Jie Wang, Tengyu Yin

IEEE CAA J. Autom. Sinica, March, 2026

Federated learning for spatio-temporal data mining: a survey.

Wei Huang, Junling Chen, Zhan Lin, Feng Wang, Jie Wang, Dexian Wang, Xiaocao Ouyang, Tianrui Li, Junbo Zhang

Inf. Fusion, 2026

Evidence-driven ternary contrastive learning with hierarchical mamba fusion for robust multimodal intent recognition.

Qingchi Gui, Xiaorong Liu, Jie Wang, Xiaocao Ouyang, Wei Huang, Liansong Zong

Neurocomputing, 2026

2025

Rough set interpretation to RBF neural network.

Dayong Deng, Jie Wang, Zhixuan Deng, Keyu Liu, Pengfei Zhang

Int. J. Mach. Learn. Cybern., August, 2025

Dual-branch Prompting for Multimodal Machine Translation.

Jie Wang, Zhendong Yang, Liansong Zong, Xiaobo Zhang, Dexian Wang, Ji Zhang

CoRR, July, 2025

Jointly Learning Type-Aware Relations and Inter-Aspect with Graph Convolutional Networks for Aspect Sentiment Analysis.

Liansong Zong, Dongfeng Hu, Qingchi Gui, Pengfei Zhang, Jie Wang

Neural Process. Lett., February, 2025

Segment-level event perception with semantic dictionary for weakly supervised audio-visual video parsing.

Zhuyang Xie, Yan Yang, Yankai Yu, Jie Wang, Yan Liu, Yongquan Jiang

Knowl. Based Syst., 2025

Symmetric non-negative matrix factorization-based deep representation algorithm for multi-view clustering.

Ping Deng, Xinying Zhou, Ji Xu, Wei Huang, Jie Wang, Dexian Wang, Tianrui Li

Eng. Appl. Artif. Intell., 2025

DiagLLM: multimodal reasoning with large language model for explainable bearing fault diagnosis.

Jie Wang, Tianrui Li, Yan Yang, Shiqian Chen, Wanming Zhai

Sci. China Inf. Sci., 2025

UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction.

Wenzhe Xu, Xiaorong Liu, Jie Wang, Fan Zhang, Dongfeng Hu, Liansong Zong

Bioinform., 2025

Eval-PPO: Building an Efficient Threat Evaluator Using Proximal Policy Optimization.

Wuzhou Sun, Siyi Li, Haonan Luo, Pengpeng Zeng, Jie Wang, Ji Zhang

Proceedings of the 2025 International Conference on Embodied Intelligence and Large Models, 2025

2024

Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space.

Zhuyang Xie, Yan Yang, Jie Wang, Xiaorong Liu, Xiaofan Li

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Cross-modal incongruity aligning and collaborating for multi-modal sarcasm detection.

Jie Wang, Yan Yang, Yongquan Jiang, Minbo Ma, Zhuyang Xie, Tianrui Li

Inf. Fusion, March, 2024

CiteNet: Cross-modal incongruity perception network for multimodal sentiment prediction.

Jie Wang, Yan Yang, Keyu Liu, Zhuyang Xie, Fan Zhang, Tianrui Li

Knowl. Based Syst., 2024

2023

SemiFREE: Semisupervised Feature Selection With Fuzzy Relevance and Redundancy.

Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng

IEEE Trans. Fuzzy Syst., October, 2023

M3S: Scene Graph Driven Multi-Granularity Multi-Task Learning for Multi-Modal NER.

Jie Wang, Yan Yang, Keyu Liu, Zhiping Zhu, Xiaorong Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Correction to: Deep learning on multi-view sequential data: a survey.

Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du

Artif. Intell. Rev., 2023

Deep learning on multi-view sequential data: a survey.

Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du

Artif. Intell. Rev., 2023

2022

Granular cabin: An efficient solution to neighborhood learning in big data.

Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang

Inf. Sci., 2022

Exploiting more associations between slots for multi-domain dialog state tracking.

Hui Bai, Yan Yang, Jie Wang

Big Data Min. Anal., 2022

Instance-Guided Multi-modal Fake News Detection with Dynamic Intra- and Inter-modality Fusion.

Jie Wang, Yan Yang, Keyu Liu, Peng Xie, Xiaorong Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022