Jianwu Lin

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 35

Top Topics

Financial Time Series

Prior Knowledge

Top Venues

Publications

Jianwu Lin, Xiaoyulong Chen, Jitong Cai, Renyong Pan, Tomislav Cernava, Quirico Migheli, Xin Zhang, Yongbin Qin
Looking from shallow to deep: Hierarchical complementary networks for large scale pest identification. Comput. Electron. Agric. 214 (2023)
Chengying He, Bin Xiao, Xi Chen, Qingzhen Xu, Jianwu Lin
Federated Learning Intellectual Capital Platform. Pers. Ubiquitous Comput. 27 (4) (2023)
Hong Guo, Jianwu Lin, Fanlin Huang
Market Making with Deep Reinforcement Learning from Limit Order Books. CoRR (2023)
Dianzhi Yu, Jianwu Lin, Tengbao Cao, Yang Chen, Mingfei Li, Xin Zhang
SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification. J. King Saud Univ. Comput. Inf. Sci. 35 (2) (2023)
Yingqiu Wu, Lu Xu, Jianwu Lin, Muhammad Imran Ghani
Subject Embedding, Relationship Interaction, and Resource Integration: The Value Co-Creation Mechanism in Rural Communities. Syst. 11 (10) (2023)
Hong Guo, Jianwu Lin, Fanlin Huang
Market Making with Deep Reinforcement Learning from Limit Order Books. IJCNN (2023)
Renyong Pan, Jianwu Lin, Jitong Cai, Licai Zhang, Jiaming Liu, Xingtian Wen, Xiaoyulong Chen, Xin Zhang
A two-stage feature aggregation network for multi-category soybean leaf disease identification. J. King Saud Univ. Comput. Inf. Sci. 35 (8) (2023)
Hong Guo, Yue Zhao, Jianwu Lin
Automatic Market Making System with Offline Reinforcement Learning. SMC (2023)
Xiliu Man, Jianwu Lin
Enhancement learning on financial text data. Pers. Ubiquitous Comput. 26 (4) (2022)
Jianwu Lin, Yang Chen, Renyong Pan, Tengbao Cao, Jitong Cai, Dianzhi Yu, Xing Chi, Tomislav Cernava, Xin Zhang, Xiaoyulong Chen
CAMFFNet: A novel convolutional neural network model for tobacco disease image recognition. Comput. Electron. Agric. 202 (2022)
Yinghe Qing, Jifeng Sun, Ying Kong, Jianwu Lin
Fundamental Multi-factor Deep-learning Strategy For Cryptocurrency Trading. INDIN (2022)
Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. IJCNN (2022)
Jia Miao, Jianwu Lin, Shenglei Hu, Guangling Liu
Sentiment Analysis of Board Secretaries' Q&R Data. INDIN (2022)
Mei Zhou, Ying Kong, Jianwu Lin
Financial Topic Modeling Based on the BERT-LDA Embedding. INDIN (2022)
Zhaofan Su, Jianwu Lin, Zhang Chengshan
Genetic Algorithm Based Quantitative Factors Construction. INDIN (2022)
Jifeng Sun, Yinghe Qing, Chang Liu, Jianwu Lin
Self-FTS: A Self-Supervised Learning Method for Financial Time Series Representation in Stock Intraday Trading. INDIN (2022)
Yueyue Xu, Ying Kong, Jianwu Lin
Stock-bond Yield Correlation Analysis based on Natural Language Processing. INDIN (2021)
Jiaqi Sun, Yong Jiang, Jianwu Lin
Convolutional LSTM Network for forecasting correlations between stocks based on spatiotemporal sequence. INDIN (2021)
Haitao Xiang, Jianwu Lin, Chun-Hung Chen, Ying Kong
Asymptotic Meta Learning for Cross Validation of Models for Financial Data. IEEE Intell. Syst. 35 (2) (2020)
Jianwu Lin, Yishen Xu, Dayu Qin
Volume ratio prediction model during Price Limits Periods in China stock markets. INDIN (2020)
Jie Fang, Jianwu Lin
Prior knowledge distillation based on financial time series. CoRR (2020)
Jifeng Sun, Jianwu Lin, Yi Zhou
Multi-Channel Temporal Graph Convolutional Network for Stock Return Prediction. INDIN (2020)
Xiliu Man, Jianwu Lin, Yujiu Yang
Stock-UniBERT: A News-based Cost-sensitive Ensemble BERT Model for Stock Trading. INDIN (2020)
Jie Fang, Jianwu Lin, Shutao Xia, Yong Jiang, Zhikang Xia, Xiang Liu
Neural Network-based Automatic Factor Construction. CoRR (2020)
Jie Fang, Jianwu Lin
Prior knowledge distillation based on financial time series. INDIN (2020)
Jie Fang, Jianwu Lin
Better predictability of arbitrage strategies trained among less attentionstocks. ICPS (2019)
Yi Zhou, Xianda Shang, Zhuoli Zhang, Jianwu Lin
The Information Flow between A and H Share Stock markets. ICPS (2019)
Jie Fang, Zhikang Xia, Xiang Liu, Shutao Xia, Yong Jiang, Jianwu Lin
Alpha Discovery Neural Network based on Prior Knowledge. CoRR (2019)
Xiliu Man, Tong Luo, Jianwu Lin
Financial Sentiment Analysis(FSA): A Survey. ICPS (2019)
Jifeng Sun, Yi Zhou, Jianwu Lin
Using machine learning for cryptocurrency trading. ICPS (2019)
Jie Fang, Jianwu Lin, Yong Jiang, Shutao Xia
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series. CoRR (2019)
Xianda Shang, Yi Zhou, Jie Fang, Jianwu Lin
Life-cycle Research of A-H Share Arbitrage Performance Based on Discrete-event Simulation. CSAE (2018)
Jianwu Lin, Shuqin Jia, Jiahao Deng
Smart risk management with financial big data. SII (2017)
Jianwu Lin, Haitao Xiang, Jian Li, Chun-Hung Chen
Best investment strategy selection using asymptotic meta learning. SII (2017)
Yi Zhou, Jianwu Lin
The alpha life cycle of quantitative strategy. SII (2017)
Chun-Hung Chen, Karen Donohue, Enver Yücesan, Jianwu Lin
Optimal computing budget allocation for Monte Carlo simulation with application to product design. Simul. Model. Pract. Theory 11 (1) (2003)
Chun-Hung Chen, Karen Donohue, Jianwu Lin, Enver Yücesan
Efficient Approach for Monte Carlo Simulation Experiments and Its Applications to Circuit Systems Design. Annual Simulation Symposium (2001)
Chun-Hung Chen, Jianwu Lin, Enver Yücesan, Stephen E. Chick
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization. Discret. Event Dyn. Syst. 10 (3) (2000)
Jing Bai, Jianwu Lin
A pacemaker working status telemonitoring algorithm. IEEE Trans. Inf. Technol. Biomed. 3 (3) (1999)
Hsiao-Chang Chen, Chun-Hung Chen, Jianwu Lin, Enver Yücesan
An asymptotic allocation for simultaneous simulation experiments. WSC (1999)