An asymptotic allocation for simultaneous simulation experiments. - Hsiao-Chang Chen; Chun-Hung Chen; Jianwu Lin; Enver Yücesan (WSC, 1999)

A pacemaker working status telemonitoring algorithm. - Jing Bai; Jianwu Lin (IEEE Trans. Inf. Technol. Biomed., 1999)

Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization. - Chun-Hung Chen; Jianwu Lin; Enver Yücesan; Stephen E. Chick (Discret. Event Dyn. Syst., 2000)

Efficient Approach for Monte Carlo Simulation Experiments and Its Applications to Circuit Systems Design. - Chun-Hung Chen; Karen Donohue; Jianwu Lin; Enver Yücesan (Annual Simulation Symposium, 2001)

Optimal computing budget allocation for Monte Carlo simulation with application to product design. - Chun-Hung Chen; Karen Donohue; Enver Yücesan; Jianwu Lin (Simul. Model. Pract. Theory, 2003)

Smart risk management with financial big data. - Jianwu Lin; Shuqin Jia; Jiahao Deng (SII, 2017)

Best investment strategy selection using asymptotic meta learning. - Jianwu Lin; Haitao Xiang; Jian Li; Chun-Hung Chen (SII, 2017)

The alpha life cycle of quantitative strategy. - Yi Zhou; Jianwu Lin (SII, 2017)

Life-cycle Research of A-H Share Arbitrage Performance Based on Discrete-event Simulation. - Xianda Shang; Yi Zhou; Jie Fang 002; Jianwu Lin (CSAE, 2018)

Better predictability of arbitrage strategies trained among less attentionstocks. - Jie Fang 002; Jianwu Lin (ICPS, 2019)

Financial Sentiment Analysis(FSA): A Survey. - Xiliu Man; Tong Luo; Jianwu Lin (ICPS, 2019)

Using machine learning for cryptocurrency trading. - Jifeng Sun; Yi Zhou; Jianwu Lin (ICPS, 2019)

The Information Flow between A and H Share Stock markets. - Yi Zhou; Xianda Shang; Zhuoli Zhang; Jianwu Lin (ICPS, 2019)

Prior Knowledge Neural Network for Automatic Feature Construction in Financial Time Series. - Jie Fang 002; Jianwu Lin; Yong Jiang 001; Shutao Xia (CoRR, 2019)

Alpha Discovery Neural Network based on Prior Knowledge. - Jie Fang 002; Zhikang Xia; Xiang Liu; Shutao Xia; Yong Jiang 001; Jianwu Lin (CoRR, 2019)

Prior knowledge distillation based on financial time series. - Jie Fang 002; Jianwu Lin (INDIN, 2020)

Volume ratio prediction model during Price Limits Periods in China stock markets. - Jianwu Lin; Yishen Xu; Dayu Qin (INDIN, 2020)

Stock-UniBERT: A News-based Cost-sensitive Ensemble BERT Model for Stock Trading. - Xiliu Man; Jianwu Lin; Yujiu Yang (INDIN, 2020)

Multi-Channel Temporal Graph Convolutional Network for Stock Return Prediction. - Jifeng Sun; Jianwu Lin; Yi Zhou (INDIN, 2020)

Neural Network-based Automatic Factor Construction. - Jie Fang 002; Jianwu Lin; Shutao Xia; Yong Jiang 001; Zhikang Xia; Xiang Liu (CoRR, 2020)

Asymptotic Meta Learning for Cross Validation of Models for Financial Data. - Haitao Xiang; Jianwu Lin; Chun-Hung Chen; Ying Kong (IEEE Intell. Syst., 2020)

Convolutional LSTM Network for forecasting correlations between stocks based on spatiotemporal sequence. - Jiaqi Sun; Yong Jiang 001; Jianwu Lin (INDIN, 2021)

Stock-bond Yield Correlation Analysis based on Natural Language Processing. - Yueyue Xu; Ying Kong; Jianwu Lin (INDIN, 2021)

Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. - Jifeng Sun; Wentao Fu; Jianwu Lin; Yong Jiang 001; Shu-Tao Xia (IJCNN, 2022)

Sentiment Analysis of Board Secretaries' Q&R Data. - Jia Miao; Jianwu Lin; Shenglei Hu; Guangling Liu (INDIN, 2022)

Fundamental Multi-factor Deep-learning Strategy For Cryptocurrency Trading. - Yinghe Qing; Jifeng Sun; Ying Kong; Jianwu Lin (INDIN, 2022)

Genetic Algorithm Based Quantitative Factors Construction. - Zhaofan Su; Jianwu Lin; Zhang Chengshan (INDIN, 2022)

Self-FTS: A Self-Supervised Learning Method for Financial Time Series Representation in Stock Intraday Trading. - Jifeng Sun; Yinghe Qing; Chang Liu; Jianwu Lin (INDIN, 2022)

Financial Topic Modeling Based on the BERT-LDA Embedding. - Mei Zhou; Ying Kong; Jianwu Lin (INDIN, 2022)

CAMFFNet: A novel convolutional neural network model for tobacco disease image recognition. - Jianwu Lin; Yang Chen; Renyong Pan; Tengbao Cao; Jitong Cai; Dianzhi Yu; Xing Chi; Tomislav Cernava; Xin Zhang 118; Xiaoyulong Chen (Comput. Electron. Agric., 2022)

Enhancement learning on financial text data. - Xiliu Man; Jianwu Lin (Pers. Ubiquitous Comput., 2022)

Market Making with Deep Reinforcement Learning from Limit Order Books. - Hong Guo; Jianwu Lin; Fanlin Huang (IJCNN, 2023)

Automatic Market Making System with Offline Reinforcement Learning. - Hong Guo; Yue Zhao; Jianwu Lin (SMC, 2023)

SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification. - Dianzhi Yu; Jianwu Lin; Tengbao Cao; Yang Chen; Mingfei Li; Xin Zhang 118 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Federated Learning Intellectual Capital Platform. - Chengying He; Bin Xiao; Xi Chen; Qingzhen Xu; Jianwu Lin (Pers. Ubiquitous Comput., 2023)

A two-stage feature aggregation network for multi-category soybean leaf disease identification. - Renyong Pan; Jianwu Lin; Jitong Cai; Licai Zhang; Jiaming Liu; Xingtian Wen; Xiaoyulong Chen; Xin Zhang 118 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Subject Embedding, Relationship Interaction, and Resource Integration: The Value Co-Creation Mechanism in Rural Communities. - Yingqiu Wu; Lu Xu; Jianwu Lin; Muhammad Imran Ghani (Syst., 2023)

Looking from shallow to deep: Hierarchical complementary networks for large scale pest identification. - Jianwu Lin; Xiaoyulong Chen; Jitong Cai; Renyong Pan; Tomislav Cernava; Quirico Migheli; Xin Zhang 118; Yongbin Qin (Comput. Electron. Agric., 2023)

GDet: Leveraging Graph Neural Networks for Intelligent Detection of Trade-Based Market Manipulation. - Jiaying Xu; Jianwu Lin (ICBAR, 2024)

Investor Sentiment Analysis of Financial Texts Based on GPT and RoBERTa. - Jia Miao; Jianwu Lin; Tong Luo; Guangling Liu (IJCNN, 2024)

Predicting Credit Spreads of Chinese Municipal Bonds: A Hybrid Model of Wavelet Transform, Random Forest, and SAM-GRU. - Yuke Wang; Jianwu Lin; Guangling Liu (IJCNN, 2024)

DIEC-ViT: Discriminative information enhanced contrastive vision transformer for the identification of plant diseases in complex environments. - Jianwu Lin; Xiaoyulong Chen; Lunhong Lou; Lin You; Tomislav Cernava; Dahui Huang; Yongbin Qin; Xin Zhang 118 (Expert Syst. Appl., 2025)