Jianwu Lin

Orcid: 0009-0008-3715-611X

According to our database1, Jianwu Lin authored at least 40 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU.
Proceedings of the International Joint Conference on Neural Networks, 2024

Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Looking from shallow to deep: Hierarchical complementary networks for large scale pest identification.
Comput. Electron. Agric., November, 2023

Subject Embedding, Relationship Interaction, and Resource Integration: The Value Co-Creation Mechanism in Rural Communities.
Syst., October, 2023

A two-stage feature aggregation network for multi-category soybean leaf disease identification.
J. King Saud Univ. Comput. Inf. Sci., September, 2023

Federated Learning Intellectual Capital Platform.
Pers. Ubiquitous Comput., August, 2023

SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification.
J. King Saud Univ. Comput. Inf. Sci., February, 2023

Automatic Market Making System with Offline Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Market Making with Deep Reinforcement Learning from Limit Order Books.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Enhancement learning on financial text data.
Pers. Ubiquitous Comput., 2022

CAMFFNet: A novel convolutional neural network model for tobacco disease image recognition.
Comput. Electron. Agric., 2022

Financial Topic Modeling Based on the BERT-LDA Embedding.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Self-FTS: A Self-Supervised Learning Method for Financial Time Series Representation in Stock Intraday Trading.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Genetic Algorithm Based Quantitative Factors Construction.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Fundamental Multi-factor Deep-learning Strategy For Cryptocurrency Trading.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Sentiment Analysis of Board Secretaries' Q&R Data.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Stock-bond Yield Correlation Analysis based on Natural Language Processing.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

Convolutional LSTM Network for forecasting correlations between stocks based on spatiotemporal sequence.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020
Asymptotic Meta Learning for Cross Validation of Models for Financial Data.
IEEE Intell. Syst., 2020

Neural Network-based Automatic Factor Construction.
CoRR, 2020

Multi-Channel Temporal Graph Convolutional Network for Stock Return Prediction.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Stock-UniBERT: A News-based Cost-sensitive Ensemble BERT Model for Stock Trading.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Volume ratio prediction model during Price Limits Periods in China stock markets.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Prior knowledge distillation based on financial time series.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019
Alpha Discovery Neural Network based on Prior Knowledge.
CoRR, 2019

Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series.
CoRR, 2019

The Information Flow between A and H Share Stock markets.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Using machine learning for cryptocurrency trading.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Financial Sentiment Analysis(FSA): A Survey.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Better predictability of arbitrage strategies trained among less attentionstocks.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

2018
Life-cycle Research of A-H Share Arbitrage Performance Based on Discrete-event Simulation.
Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2017
The alpha life cycle of quantitative strategy.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

Best investment strategy selection using asymptotic meta learning.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

Smart risk management with financial big data.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

2003
Optimal computing budget allocation for Monte Carlo simulation with application to product design.
Simul. Model. Pract. Theory, 2003

2001
Efficient Approach for Monte Carlo Simulation Experiments and Its Applications to Circuit Systems Design.
Proceedings of the Proceedings 34th Annual Simulation Symposium (SS 2001), 2001

2000
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization.
Discret. Event Dyn. Syst., 2000

1999
A pacemaker working status telemonitoring algorithm.
IEEE Trans. Inf. Technol. Biomed., 1999

An asymptotic allocation for simultaneous simulation experiments.
Proceedings of the 31st conference on Winter simulation: Simulation, 1999


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