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ORCIDJianwu Lin
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2020 – today
- 2024
[c26]Jia Miao, Jianwu Lin, Tong Luo, Guangling Liu:
Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa. IJCNN 2024: 1-8- [c25]Yuke Wang, Jianwu Lin, Guangling Liu:
Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU. IJCNN 2024: 1-8 - 2023
- [j11]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: 108342 (2023) - [j10]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): 810-820 (2023) - [j9]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): 101669 (2023) - [j8]Chengying He, Bin Xiao, Xi Chen, Qingzhen Xu, Jianwu Lin:
Federated Learning Intellectual Capital Platform. Pers. Ubiquitous Comput. 27(4): 1525-1536 (2023) - [j7]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): 507 (2023) - [c24]Hong Guo, Jianwu Lin, Fanlin Huang:
Market Making with Deep Reinforcement Learning from Limit Order Books. IJCNN 2023: 1-8 - [c23]Hong Guo, Yue Zhao, Jianwu Lin:
Automatic Market Making System with Offline Reinforcement Learning. SMC 2023: 3842-3847 - [i5]Hong Guo, Jianwu Lin, Fanlin Huang:
Market Making with Deep Reinforcement Learning from Limit Order Books. CoRR abs/2305.15821 (2023) - 2022
- [j6]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: 107390 (2022) - [j5]Xiliu Man, Jianwu Lin:
Enhancement learning on financial text data. Pers. Ubiquitous Comput. 26(4): 1011-1021 (2022) - [c22]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: 1-8 - [c21]Mei Zhou, Ying Kong, Jianwu Lin:
Financial Topic Modeling Based on the BERT-LDA Embedding. INDIN 2022: 495-500 - [c20]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: 501-506 - [c19]Jia Miao, Jianwu Lin, Shenglei Hu, Guangling Liu:
Sentiment Analysis of Board Secretaries' Q&R Data. INDIN 2022: 534-539 - [c18]Zhaofan Su, Jianwu Lin, Zhang Chengshan:
Genetic Algorithm Based Quantitative Factors Construction. INDIN 2022: 650-655 - [c17]Yinghe Qing, Jifeng Sun, Ying Kong, Jianwu Lin:
Fundamental Multi-factor Deep-learning Strategy For Cryptocurrency Trading. INDIN 2022: 674-680 - 2021
- [c16]Jiaqi Sun, Yong Jiang, Jianwu Lin:
Convolutional LSTM Network for forecasting correlations between stocks based on spatiotemporal sequence. INDIN 2021: 1-6 - [c15]Yueyue Xu, Ying Kong, Jianwu Lin:
Stock-bond Yield Correlation Analysis based on Natural Language Processing. INDIN 2021: 1-6 - 2020
- [j4]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): 16-24 (2020) - [c14]Jifeng Sun, Jianwu Lin, Yi Zhou:
Multi-Channel Temporal Graph Convolutional Network for Stock Return Prediction. INDIN 2020: 423-428 - [c13]Jie Fang, Jianwu Lin:
Prior knowledge distillation based on financial time series. INDIN 2020: 429-434 - [c12]Xiliu Man, Jianwu Lin, Yujiu Yang:
Stock-UniBERT: A News-based Cost-sensitive Ensemble BERT Model for Stock Trading. INDIN 2020: 440-445 - [c11]Jianwu Lin, Yishen Xu, Dayu Qin:
Volume ratio prediction model during Price Limits Periods in China stock markets. INDIN 2020: 452-457 - [i4]Jie Fang, Jianwu Lin:
Prior knowledge distillation based on financial time series. CoRR abs/2006.09247 (2020) - [i3]Jie Fang, Jianwu Lin, Shutao Xia, Yong Jiang, Zhikang Xia, Xiang Liu:
Neural Network-based Automatic Factor Construction. CoRR abs/2008.06225 (2020)
2010 – 2019
- 2019
- [c10]Jie Fang, Jianwu Lin:
Better predictability of arbitrage strategies trained among less attentionstocks. ICPS 2019: 611-616 - [c9]Xiliu Man, Tong Luo, Jianwu Lin:
Financial Sentiment Analysis(FSA): A Survey. ICPS 2019: 617-622 - [c8]Yi Zhou, Xianda Shang, Zhuoli Zhang, Jianwu Lin:
The Information Flow between A and H Share Stock markets. ICPS 2019: 641-646 - [c7]Jifeng Sun, Yi Zhou, Jianwu Lin:
Using machine learning for cryptocurrency trading. ICPS 2019: 647-652 - [i2]Jie Fang, Jianwu Lin, Yong Jiang, Shutao Xia:
Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series. CoRR abs/1912.06236 (2019) - [i1]Jie Fang, Zhikang Xia, Xiang Liu, Shutao Xia, Yong Jiang, Jianwu Lin:
Alpha Discovery Neural Network based on Prior Knowledge. CoRR abs/1912.11761 (2019) - 2018
- [c6]Xianda Shang, Yi Zhou, Jie Fang, Jianwu Lin:
Life-cycle Research of A-H Share Arbitrage Performance Based on Discrete-event Simulation. CSAE 2018: 74:1-74:5 - 2017
- [c5]Yi Zhou, Jianwu Lin:
The alpha life cycle of quantitative strategy. SII 2017: 53-59 - [c4]Jianwu Lin, Shuqin Jia, Jiahao Deng:
Smart risk management with financial big data. SII 2017: 60-65 - [c3]Jianwu Lin, Haitao Xiang, Jian Li, Chun-Hung Chen:
Best investment strategy selection using asymptotic meta learning. SII 2017: 72-76
2000 – 2009
- 2003
- [j3]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): 57-74 (2003) - 2001
- [c2]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: 65-71 - 2000
- [j2]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): 251-270 (2000)
1990 – 1999
- 1999
- [j1]Jing Bai, Jianwu Lin:
A pacemaker working status telemonitoring algorithm. IEEE Trans. Inf. Technol. Biomed. 3(3): 197-204 (1999) - [c1]Hsiao-Chang Chen, Chun-Hung Chen, Jianwu Lin, Enver Yücesan:
An asymptotic allocation for simultaneous simulation experiments. WSC 1999: 359-366
Coauthor Index
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