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Hanlei Jin

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2020 – today

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2024
[i1]
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  - journals/corr/abs-2403-02901
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  - https://dblp.org/rec/journals/corr/abs-2403-02901
Hanlei Jin, Yang Zhang, Dan Meng, Jun Wang, Jinghua Tan:
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods. CoRR abs/2403.02901 (2024)
2023
[j2]
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  - journals/asc/WangZTJTS23
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Jun Wang, Wenjin Zhao, Fu-Sheng Tsai, Hanlei Jin, Jinghua Tan, Chao Su:
A study of crude oil futures price volatility based on multi-dimensional data from event-driven and deep learning perspectives. Appl. Soft Comput. 146: 110548 (2023)
2022
[j1]
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  - journals/isci/WangJCTZ22
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Jun Wang, Hanlei Jin, Junxiao Chen, Jinghua Tan, Kaiyang Zhong:
Anomaly detection in Internet of medical Things with Blockchain from the perspective of deep neural network. Inf. Sci. 617: 133-149 (2022)
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  - conf/wise/JinWTCS22
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Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen, Tao Shu:
Incorporating News Summaries for Stock Predictions via Graphical Learning. WISE 2022: 409-417
2021
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  - conf/incdm/WangTJQ21
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Jun Wang, Jinghua Tan, Hanlei Jin, Shuo Qi:
Unsupervised graph-clustering learning framework for financial news summarization. ICDM (Workshops) 2021: 719-726
[c1]
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  - conf/incdm/WangTCJ21
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Jun Wang, Jinghua Tan, Jiujiu Chen, Hanlei Jin:
A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation. ICDM (Workshops) 2021: 1104-1111

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