Dawei Cheng (程大伟) is currently an associate professor appointed at Department of Computer Science and Technology of Tongji University (同济大学), Shanghai, China. I serve as dean assistant of Collaborative Innovation Center of Internet Finance Safety, and guest Ph.D. supervisor at the University of Technology Sydney, Australia. I specialize in data mining, machine learning, deep learning and reinforcement learning. Now I mainly focus on big data in finance, deep learning in complex financial networks and big data analysis.
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 and bachelor degree from Nanjing University of Aeronautics and Astronautics in China.
Big Data in Finance
Graph Learning, Data Mining
(Senior) Programe Commitee of SIGKDD, ICDE, AAAI, IJCAI, CIKM, VLDB, ECML, etc.
Reviewer of TKDE, TNNLS, INS, PR, 计算机学报, etc.
Area Chair of AAAI, PRAI
Distinguished Member of CCF Shanghai
One Paper (Corresponding) was accepted by SIGKDD 2023.
Updated on May 17, 2023
Two Papers (Corresponding) were accepted by IJCAI 2023.
Updated on Apr 25, 2023
We released an open source fraud detection benchmark (Antifraud).
Updated on Apr 17, 2023
One Paper (first author) on Group-aware GNN was accepted by TKDE 2023.
Updated on Apr 10, 2023
I was invited to serve as Area Chair for AAAI 2023.
Updated on Jan 11, 2023
I'm serving as Senior PC (Meta Reviewer) for IJCAI 2023.
Updated on Dec 25, 2022
Two Papers (Corresponding) were accepted by AAAI 2023.
Updated on Nov 20, 2022
I'm serving as TPC member (Reviewer) for AAAI and SIGKDD 2023.
Updated on Oct 15, 2022
One Paper (first author) was accepted by TKDE 2022.
Updated on Mar 12, 2022
One Paper (Corresponding) was accepted by ICDE 2022.
Updated on Mar 6, 2022
I'm serving as Area Chair for PRAI 2022
Updated on Feb 17, 2022
One Paper (Corresponding) was accepted by TASLP 2022.
Updated on Feb 15, 2022
I'm serving as TPC member (Reviewer) for SIGKDD and CIKM 2022.
Updated on Feb 14, 2022
Lanuch a Joint Research Project with China Financial Futures Exchange
Focus on event-based risk regulation via deep graph learning techniques.
Updated on Jan 12, 2021.
Updated on Dec, 2021
I'm serving as TPC member (Reviewer) for AAAI 2022.
Updated on Sep 2, 2021
Two Papers (Corresponding) were accepted by The VLDB Journal 2021.
Updated on Aug 28, 2021
My responsible National Science Foundation of China was approved.
Risk assessment by deep graph learning (Youth Foundation).
Updated on Aug 18, 2021.3 Years.
One Paper (first author) was accepted by TKDE 2021.
Updated on Jun 21, 2021
Launch Joint Reseach with China UnionPay
Fraud and money laundering detection by deep graph learning and reinforcement learning techniques.
Updated on Feb 18, 2021.
One Paper (first & corresponding) was accepted by Pattern Recognition.
Updated on Feb 16, 2021
I'm attending IJCAI-PRICAI 2020.
Updated on Jan 12, 2021
Give a talk about financial knowledge graph for CMBC
I will deliver a training about "financial knowledge graph and its applications in banking industry" for CMBC(China Merchants Bank)
Updated on Dec 21, 2020.4 sessions.
I'm serving as TPC member (Reviewer) for CIKM and AAAI 2021.
Updated on Oct 10, 2020
One Paper (first author) on graph learning was accepted by TKDE.
Updated on Sep 3, 2020
One Paper (first author) was accepted by SIGKDD 2020.
Updated on May 25, 2020
One Paper (first author) was accepted by TNNLS 2020.
Updated on Apr 21, 2020
I'm serving as TPC member (Reviewer) for IJCAI 2020.
Updated on Feb 12, 2020
Three Paper were accepted by AAAI 2020.
Updated on Dec 5, 2019
Lanuch a Joint Research Project with Morgan-Stanley
Focus on fraud transaction detection, specialized in suspicious transactions detection in the futures market.
Updated on Nov 10, 2019.
One Paper on Risk Assessment was accepted by 计算机学报 2019.
Updated on Oct 10, 2019
One Paper on Graph Learning was accepted by IJCAI 2019.
Updated on May 15, 2019
My responsible China Postdoctoral Science Foundation was approved.
Updated on Apr 3, 2019
D. Cheng, Z. Niu, J. Li, C. Jiang, “Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning” IEEE Transactions on Knowledge and Data Engineering. 2022.
S. Xiang, D. Cheng*, J. Zhang, Z. Ma, X. Wang, Y. Zhang, “Efficient Learning-based Community-Preserving Graph Generation” ICDE. 2022.
S. Xiang, D. Wen, D. Cheng*, Y. Zhang, et.al, “General graph generators: experiments, analyses, and improvements” The VLDB Journal. 2021.
P. Zhu, D. Cheng*, F. Yang, et. al, “Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph” IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2022.
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.
D Wen, B Yang, Y Zhang, L Qin, D Cheng*, W Zhang, “Span-reachability querying in large temporal graphs” The VLDB Journal. 2021.
D. Cheng, Z. Niu, Y. Zhang, “Contagious Chain Risk Rating for Networked-guarantee Loans” ACM SIGKDD. 2020.
D. Cheng, F. Yang, S. Xiang, J. Liu, “Financial Time Series Forecasting with Multi-Modality Graph Neural Network” Pattern Recognition. 2021.
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.
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.
D. Cheng, Z. Niu, L. Zhang, “Delinquent Events Prediction in Temporal Networked-Guarantee Loans” IEEE Transactions on Neural Networks and Learning Systems. 2020.
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.
D. Cheng, F. Yang, X. Wang, Y. Zhang, L. Zhang, “Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments” ACM SIGIR. 2020.