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》 Contact Information

Name:CHENG Dawei




Personal home page:http://cs1.tongji.edu.cn/~dawei/

Title:Assistant Professor

》  Research Fields

Dawei Cheng (程大伟) is currently an assistant professor appointed at Department of Computer Science and Technology in Tongji University, Shanghai, China. I specialize in data mining, machine learning, deep learning and reinforcement learning. Now I mainly focus on deep learning in complex financial networks and other big data applications.

Prior to now, I was a postdoctoral associate at Center for Brain-like Computing and Machine Intelligence (BCMI), Shanghai Jiao Tong University (SJTU), China. Before that, I obtained my Ph.D degree in computer science from Shanghai Jiao Tong University, supervised by Prof. Liqing Zhang.

My research interest includes:

l Machine Learning and Data Mining

l Big Data in Finance

l Deep Learning

l Reinforcement Learning

》  Courses

Machine Learning

Algorithm Analysis and Design

Financial Service Computing

》  Projects

1.National Science Foundation of China entitled Risk assessment by deep graph learning (Youth Foundation).

2.Shanghai Scientific and Technological Innovation Action Plan

3.National Science Foundation of China (General Foundation)

4.the National Key R&D Program of China

5.China Postdoctoral Science Foundation

》  Publications

1.D. Cheng, X. Wang, Y. Zhang, S. Xiang, “Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs” IEEE Transactions on Knowledge and Data Engineering. 2021.

2.S. Xiang, D. Wen, D Cheng*, et al., “General Graph Generators: Experiments, Analyses, and Improvement” The VLDB Journal. 2021

3.D. Cheng, F. Yang, S. Xiang, J. Liu, “Financial Time Series Forecasting with Multi-Modality Graph Neural Network” Pattern Recognition. 2021.

4.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.

5.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. 2020.

6.D. Cheng, Z. Niu, L. Zhang, “Delinquent Events Prediction in Temporal Networked-Guarantee Loans” IEEE Transactions on Neural Networks and Learning Systems. 2020.

7.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.

8.D. Cheng, Z. Niu, Y. Zhang, “Contagious Chain Risk Rating for Networked-guarantee Loans” ACM SIGKDD. 2020.

9.D. Cheng, F. Yang, X. Wang, Y. Zhang, L. Zhang, “Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments” ACM SIGIR. 2020.

10.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.

11.D. Cheng, X. Wang, Y. Zhang, L. Zhang, “Risk Guarantee Prediction in Networked-Loans” IJCAI. 2020.

12.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.

13.Y. Tu, L. Niu, W. Zhao, D. Cheng, L. Zhang, “Image Cropping with Composition and Saliency Aware Aesthetic Score Map” AAAI. 2020.

14.Y. Tu, L. Niu, J. Chen, D. Cheng, L. Zhang, “Learning from Web Data with Self-Organizing Memory Module” CVPR. 2020.

15.X. Liang, D. Cheng, F. Yang, et.al, “F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification” IJCAI. 2020.

16.M. Fan, D. Cheng, F. Yang, et.al, “Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents” CIKM. 2020.

17.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.

18.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.

19.D. Cheng, Y. Tu, Z. Ma, Z. Niu, L. Zhang, “Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation” IJCAI. 2019.

20.D. Cheng, Y. Zhang, F. Yang, Y. Tu, Z. Niu, L. Zhang, “A dynamic default prediction framework for networked-guarantee loans” CIKM. 2019.


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