Jun Wang

38 papers B 1Misc 2Journal 29Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive survey on automatic text summarization with exploration of LLM-based methods.
Neurocomputing
Yang Zhang, Hanlei Jin, Dan Meng, Jun Wang, Jinghua Tan
2026 J jnl
A direction-sensitive graph learning to explore supply chain network for financial risk detection.
Appl. Soft Comput.
Jinghua Tan, Junxiao Chen, Shanshan Feng, Huang Li, Jun Wang, Yang Zhang, Minghui Kang
2026 J jnl
A multi-graph learning framework to fuse heterogeneous market information for stock forecasting.
Expert Syst. Appl.
Zhixi Li, Jie Xiong, Jun Wang, Jinghua Tan, Philippe du Jardin, Muhammet Deveci, Kaiyang Zhong
2026 J jnl
FDNet: High-frequency disentanglement network with information-theoretic guidance for multivariate time series forecasting.
Pattern Recognit.
Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu
2026 J jnl
GazeCLIP: Enhancing gaze estimation through text-guided multimodal learning.
Neurocomputing
Jun Wang, Hao Ruan, Liangjian Wen, Yong Dai, Mingjie Wang
2026 J jnl
Graph learning and its advancements on large language models: A holistic survey.
Neurocomputing
Shaopeng Wei, Jun Wang, Yu Zhao, Xingyan Chen, Xiaochun Hu, Qing Li, Fuzhen Zhuang, Fuji Ren, Gang Kou
2026 J jnl
MRDNet: Multivariable Relational Decomposition Network for Multivariate Time Series Forecasting.
Knowl. Based Syst.
Ao Hu, Liangjian Wen, Mingyi Zhang, Yong Dai, Dongkai Wang, Jun Wang, Jiang Duan
2026 J jnl
Multi-view graph neural networks by augmented aggregation.
Appl. Soft Comput.
Long Shi, Junyu Chen, Lei Cao, Jun Wang, Jinghua Tan, Badong Chen
2026 J jnl
TimeCNN: Refining inscross-variable interaction on time point for time series forecasting.
Neural Networks
Ao Hu, Liangjian Wen, Yong Dai, Shiyi Qi, Jun Wang, Zhi Chen, Xun Zhou, Dongkai Wang, Zenglin Xu, Jiang Duan
2025 — conf
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements.
KDD (2)
Yang Zhang, Wenbo Yang, Jun Wang, Qiang Ma, Jie Xiong
2025 J jnl
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements.
CoRR
Yang Zhang, Wenbo Yang, Jun Wang, Qiang Ma, Jie Xiong
2025 J jnl
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions.
CoRR
Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
2025 J jnl
MRRFGNN: Multi-relation reconstruction and fusion graph neural network for stock crash prediction.
Inf. Sci.
Jun Wang, Lei Liao, Kaiyang Zhong, Muhammet Deveci, Philippe du Jardin, Jinghua Tan, Seifedine Nimer Kadry
2025 J jnl
Model-Guided Stock Movements Prediction with Homogeneous-Heterogeneous pattern learning.
Appl. Soft Comput.
Yi Zhou, Tai-Xiang Jiang, Jun Wang, Jinghua Tan
2025 J jnl
Relational Stock Selection via Probabilistic State Space Learning.
IEEE Trans. Knowl. Data Eng.
Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, Guisong Liu
2024 J jnl
Enhanced Latent Multi-View Subspace Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Long Shi, Lei Cao, Jun Wang, Badong Chen
2024 J jnl
FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching.
Entropy
Yu Guo, Ting Liang, Zhongpu Chen, Binchen Yang, Jun Wang, Yu Zhao
2024 J jnl
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.
CoRR
Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan
2023 J jnl
CUPVC: A Constraint-Based Unsupervised Prosody Transfer for Improving Telephone Banking Services.
IEEE ACM Trans. Audio Speech Lang. Process.
Ben Liu, Jun Wang, Guanyuan Yu, Shaolei Chen
2023 J jnl
Enhanced Latent Multi-view Subspace Clustering.
CoRR
Long Shi, Lei Cao, Jun Wang, Badong Chen
2023 J jnl
Essential tensor learning for multimodal information-driven stock movement prediction.
Knowl. Based Syst.
Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li
2023 J jnl
Robust kernel adaptive filtering for nonlinear time series prediction.
Signal Process.
Long Shi, Jinghua Tan, Jun Wang, Qing Li, Lu Lu, Badong Chen
2023 Misc conf
The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning.
ICNC
Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan
2022 J jnl
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network.
Inf. Sci.
Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong
2022 J jnl
FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions.
Inf. Sci.
Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen
2022 B conf
Incorporating News Summaries for Stock Predictions via Graphical Learning.
WISE
Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu
2021 — conf
A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation.
ICDM (Workshops)
Jun Wang, Jinghua Tan, Jiujiu Chen, Hanlei Jin
2021 J jnl
A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News.
IEEE Trans. Knowl. Data Eng.
Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen
2021 — conf
Unsupervised graph-clustering learning framework for financial news summarization.
ICDM (Workshops)
Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi
2020 J jnl
A deep multimodal generative and fusion framework for class-imbalanced multimodal data.
Multim. Tools Appl.
Qing Li, Guanyuan Yu, Jun Wang, Yuehao Liu
2020 J jnl
A multimodal generative and fusion framework for recognizing faculty homepages.
Inf. Sci.
Guanyuan Yu, Qing Li, Jun Wang, Di Zhang, Yuehao Liu
2020 Misc conf
An Intelligent System for Rumor Recognition and Rumor Sentiment Judgment.
ICNC
Jun Wang, Xing Liu, Ali M. S. Alfosool, Junjie Su, Xirui Fu, Jinghua Tan
2019 — conf
A Tensor-based eLSTM Model to Predict Stock Price Using Financial News.
HICSS
Jinghua Tan, Jun Wang, Denisa Rinprasertmeechai, Rong Xing, Qing Li
2018 J jnl
Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective.
IEEE Trans. Knowl. Data Eng.
Qing Li, Yan Chen, Jun Wang, Yuanzhu Chen, Hsinchun Chen
2017 — conf
Research on Automatic Identification of Rumors in Stock Forum Based on Machine Learning.
PACIS
Hua Zhang, Jun Wang, Yan Chen, Jinghua Tan, Qing Li
2017 J jnl
The role of social sentiment in stock markets: a view from joint effects of multiple information sources.
Multim. Tools Appl.
Qing Li, Jun Wang, Feng Wang, Ping Li, Ling Liu, Yuanzhu Chen
2016 — conf
The effect of Rumor Clarification on Chinese Stock Markets.
PACIS
Jun Wang, Yan Chen, Yang Tang, Qing Li
2008 J jnl
Robust Subspace Clustering by Logarithmic Hyperbolic Cosine Function.
IEEE Signal Process. Lett.
Lei Cao, Long Shi, Jun Wang, Zhendong Yang, Badong Chen