Jun Wang

According to our database, Jun Wang authored at least 36 papers between 2008 and 2026.

Collaborative distances:

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

2026

FDNet: High-frequency disentanglement network with information-theoretic guidance for multivariate time series forecasting.

Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu

Pattern Recognit., 2026

TimeCNN: Refining inscross-variable interaction on time point for time series forecasting.

Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan

Neural Networks, 2026

MRDNet: Multivariable Relational Decomposition Network for Multivariate Time Series Forecasting.

Ao Hu, Liangjian Wen, Mingyi Zhang, Yong Dai, Dongkai Wang, Jun Wang, Jiang Duan

Knowl. Based Syst., 2026

A comprehensive survey on automatic text summarization with exploration of LLM-based methods.

Yang Zhang, Hanlei Jin, Dan Meng, Jun Wang, Jinghua Tan

Neurocomputing, 2026

Graph learning and its advancements on large language models: A holistic survey.

Shaopeng Wei, Jun Wang, Yu Zhao, Xingyan Chen, Xiaochun Hu, Qing Li, Fuzhen Zhuang, Fuji Ren, Gang Kou

Neurocomputing, 2026

GazeCLIP: Enhancing gaze estimation through text-guided multimodal learning.

Jun Wang, Hao Ruan, Liangjian Wen, Yong Dai, Mingjie Wang

Neurocomputing, 2026

A multi-graph learning framework to fuse heterogeneous market information for stock forecasting.

Zhixi Li, Jie Xiong, Jun Wang, Jinghua Tan, Philippe du Jardin, Muhammet Deveci, Kaiyang Zhong

Expert Syst. Appl., 2026

A direction-sensitive graph learning to explore supply chain network for financial risk detection.

Jinghua Tan, Junxiao Chen, Shanshan Feng, Huang Li, Jun Wang, Yang Zhang, Minghui Kang

Appl. Soft Comput., 2026

Multi-view graph neural networks by augmented aggregation.

Long Shi, Junyu Chen, Lei Cao, Jun Wang, Jinghua Tan, Badong Chen

Appl. Soft Comput., 2026

2025

InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions.

Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan

CoRR, September, 2025

Relational Stock Selection via Probabilistic State Space Learning.

Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, Guisong Liu

IEEE Trans. Knowl. Data Eng., February, 2025

MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction.

Jun Wang, Lei Liao, Kaiyang Zhong, Muhammet Deveci, Philippe du Jardin, Jinghua Tan, Seifedine Nimer Kadry

Inf. Sci., 2025

Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning.

Yi Zhou, Tai-Xiang Jiang, Jun Wang, Jinghua Tan

Appl. Soft Comput., 2025

CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements.

Yang Zhang, Wenbo Yang, Jun Wang, Qiang Ma, Jie Xiong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

Enhanced Latent Multi-View Subspace Clustering.

Long Shi, Lei Cao, Jun Wang, Badong Chen

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

FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching.

Yu Guo, Ting Liang, Zhongpu Chen, Binchen Yang, Jun Wang, Yu Zhao

Entropy, January, 2024

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.

Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan

CoRR, 2024

2023

Essential tensor learning for multimodal information-driven stock movement prediction.

Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li

Knowl. Based Syst., February, 2023

CUPVC: A Constraint-Based Unsupervised Prosody Transfer for Improving Telephone Banking Services.

Ben Liu, Jun Wang, Guanyuan Yu, Shaolei Chen

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

Robust kernel adaptive filtering for nonlinear time series prediction.

Long Shi, Jinghua Tan, Jun Wang, Qing Li, Lu Lu, Badong Chen

Signal Process., 2023

The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning.

Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan

Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022

Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.

Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong

Inf. Sci., 2022

FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions.

Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen

Inf. Sci., 2022

Incorporating News Summaries for Stock Predictions via Graphical Learning.

Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

2021

A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News.

Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen

IEEE Trans. Knowl. Data Eng., 2021

Unsupervised graph-clustering learning framework for financial news summarization.

Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi

Proceedings of the 2021 International Conference on Data Mining, 2021

A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation.

Jun Wang, Jinghua Tan, Jiujiu Chen, Hanlei Jin

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

A deep multimodal generative and fusion framework for class-imbalanced multimodal data.

Qing Li, Guanyuan Yu, Jun Wang, Yuehao Liu

Multim. Tools Appl., 2020

A multimodal generative and fusion framework for recognizing faculty homepages.

Guanyuan Yu, Qing Li, Jun Wang, Di Zhang, Yuehao Liu

Inf. Sci., 2020

An Intelligent System for Rumor Recognition and Rumor Sentiment Judgment.

Jun Wang, Xing Liu, Ali M. S. Alfosool, Junjie Su, Xirui Fu, Jinghua Tan

Proceedings of the International Conference on Computing, Networking and Communications, 2020

2019

A Tensor-based eLSTM Model to Predict Stock Price Using Financial News.

Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective.

Qing Li, Yan Chen, Jun Wang, Yuanzhu Chen, Hsinchun Chen

IEEE Trans. Knowl. Data Eng., 2018

2017

The role of social sentiment in stock markets: a view from joint effects of multiple information sources.

Qing Li, Jun Wang, Feng Wang, Ping Li, Ling Liu, Yuanzhu Chen

Multim. Tools Appl., 2017

Research on Automatic Identification of Rumors in Stock Forum Based on Machine Learning.

Hua Zhang, Jun Wang, Yan Chen, Jinghua Tan, Qing Li

Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

2016

The effect of Rumor Clarification on Chinese Stock Markets.

Jun Wang, Yan Chen, Yang Tang, Qing Li

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

2008

Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function.

Lei Cao, Long Shi, Jun Wang, Zhendong Yang, Badong Chen

IEEE Signal Process. Lett., 2008