Full List of Publications

D. Cheng, X. Wang, Y. Zhang, L. Zhang, “Graph Neural Network for Fraud Detection via Spatial-temporal Attention” IEEE Transactions on Knowledge and Data Engineering. 2021. PDF
D. Cheng, Z. Niu, L. Zhang, “Delinquent Events Prediction in Temporal Networked-Guarantee Loans” IEEE Transactions on Neural Networks and Learning Systems. 2021. PDF
程大伟, 牛志彬, 刘新海, 张丽清, “复杂担保网络中传染路径的风险评估” 中国科学: 信息科学. 2021. PDF
D. Cheng, S. Xiang, C. Shang, Y. Zhang, F. Yang, L. Zhang, “Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection” AAAI. 2020. PDF
D. Cheng, Z. Niu, Y. Zhang, “Contagious Chain Risk Rating for Networked-guarantee Loans” ACM SIGKDD. 2020. PDF
D. Cheng, F. Yang, X. Wang, Y. Zhang, L. Zhang, “Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments” ACM SIGIR. 2020. PDF
程大伟, 牛志彬, 张丽清, “大规模不均衡担保网络贷款的风险研究” 计算机学报. Vol 43, No. 4, 2020. PDF
D. Cheng, X. Wang, Y. Zhang, L. Zhang, “Risk Guarantee Prediction in Networked-Loans” IJCAI. 2020. PDF
Z. Niu, R. Li, J. Wu, D. Cheng, J. Zhang, “iConVis: Interactive Visual Exploration of the Default Contagion Risk for Networked-guarantee Loans” IEEE VAST. 2020. PDF
Y. Tu, L. Niu, W. Zhao, D. Cheng, L. Zhang, “Image Cropping with Composition and Saliency Aware Aesthetic Score Map” AAAI. 2020. PDF
Y. Tu, L. Niu, J. Chen, D. Cheng, L. Zhang, “Learning from Web Data with Self-Organizing Memory Module” CVPR. 2020. PDF
X. Liang, D. Cheng, F. Yang, Y. Luo, W. Qian, A. Zhou, “F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification” IJCAI. 2020. PDF
M. Fan, D. Cheng, F. Yang, S. Luo, Y. Luo, W. Qian, A. Zhou, “Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents” CIKM. 2020. PDF
X. Liu, Z. Niu, Y. Yang, J. Wu, D. Cheng, X. Wang, “VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern” 23rd International Conference on Extending Database Technology. 2020. PDF
Y. Zhang, L. Niu, Z. Pan, M. Luo, J. Zhang, D. Cheng, L. Zhang, “Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition.” AAAI. 2020. PDF
D. Cheng, Y. Tu, Z. Ma, Z. Niu, L. Zhang, “Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation” IJCAI. 2019. PDF
D. Cheng, Y. Zhang, F. Yang, Y. Tu, Z. Niu, L. Zhang, “A dynamic default prediction framework for networked-guarantee loans” CIKM. 2019. PDF
Y. Chen, J. Kuang, D. Cheng, J. Zheng, M. Gao, A. Zhou, “AgriKG: an agricultural knowledge graph and its applications” DASFAA . 2019. PDF
D. Cheng, Y. Tu, Z. Ma, Z. Niu, L. Zhang, “BHONEM: Binary high-order network embedding methods for networked-guarantee loans” Journal of Computer Science and Technology. 2019. PDF
Z. Niu, D. Cheng, L. Zhang, J. Zhang, “Visual analytics for networked-guarantee loans risk management” IEEE PacificVis. 2018. PDF
D. Cheng, Y. Liu, L. Zhang, “Exploring motor imagery EEG patterns for stroke patients with deep neural networks” ICASSP. 2018. PDF
D. Cheng, Z. Niu, Y. Tu, L. Zhang, “Prediction defaults for networked-guarantee loans” ICPR. 2018. PDF
D. Cheng, Y. Liu, Z. Niu, L. Zhang, “Modeling similarities among multi-dimensional financial time series” IEEE Access. 2018. PDF
D. Cheng, Y. Tu, Z. Niu, L. Zhang, “Learning Temporal Relationships Between Financial Signals” ICASSP. 2018. PDF