程大伟｜同济大学｜学者主页

2026

Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning

Xin Liu, Xiyuan Chen, Cheng-Long Wu, Xuan Zong, Jun Zhou, Dawei Cheng

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

DOI

2026

MAVEN: Multi-Agent Verification-Elaboration Network with In-Step Epistemic Auditing

Yin-Sheng Yao, Jiehao Tang, Zhaozheng Yang, Dawei Cheng

arXiv.org

DOI

2026

Explainability-Aligned Attributed Graph Generation

Zicai Zhou, Xu Cheng, Guang Chen, Dawei Cheng

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Deep Reinforcement Learning Enhanced Semi-supervised Graph Neural Network for Credit Card Fraud Detection

Huilin He, Kun Zhu, Zewen Hu, Jie Wang, Dawei Cheng

International Joint Conference on Artificial Intelligence

DOI

2026

Conspiracy Spoofing Detection via Structure-Augmented Generative Graph Model

Sheng Xiang, Ziwen Xu, Yidong Jiang, Dawei Cheng, Hui Zhao

International Joint Conference on Artificial Intelligence

DOI

2026

Beyond Knowledge to Agency: Evaluating Expertise, Autonomy, and Integrity in Finance with CNFinBench

Jinru Ding, Chao Ding, Yidong Jiang, Wenrao Pang, Boyi Xiao, Zhiqiang Liu, Jiayuan Chen, Yun Zhong, Tiantian Yuan, Junming Guan, Dawei Cheng, Jie Xu

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Ensemble Graph Neural Networks With Individual Decision Feedback for Graph Classification

Mingjian Guang, Li Z, Rui Zhang, Junli Wang, Dawei Cheng

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Fairness-Aware Hypergraph Self-Supervised Learning With Sampling-Efficient Signals

Fan Li, Xiaoyang Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang, Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection

Xin Liu, Yuanhang Yu, P Y Zhu, Dawei Cheng, Changjun Jiang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Large language model-based multi-agent systems for financial markets simulation: a survey

Qinyuan Liu, Lihang Yao, Zidong Wang, Yi Yang, Y J Tang, Dawei Cheng, Changjun Jiang

Science China Information Sciences

DOI

2026

A comprehensive and practical benchmark for financial time series forecasting

Yifan Hu, Yuante Li, Peiyuan Liu, Yuxia Zhu, Naiqi Li, Tao Dai, Shu‐Tao Xia, Dawei Cheng, Changjun Jiang

Frontiers of Computer Science

DOI

2026

On querying minimum spanning tree in temporal graphs

Yuanhang Yu, Dong Wen, Lu Qin, Dawei Cheng, Ying Zhang, Wenjie Zhang, Xuemin Lin

The VLDB Journal

DOI

2026

Robust Graph Learning on the Web: Challenges, Methods, and Applications

Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Q J He

ACM Web Conference (WWW)

DOI

2026

Credit and Power Co-evolution Modeling with Dynamic Graph Learning

Wenhao Ying, P Y Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng

ACM Web Conference (WWW)

DOI

2026

SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory

Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Fei Zhu, Dawei Cheng

DOI

2026

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection

Association for Artificial Intelligence 2026, Dawei Cheng, Changjun Jiang, Xin Liu, Yuanhang Yu, Peng Zhu

Underline Science Inc.

DOI

2026

Semi-Implicit Temporal Variational Graph Autoencoder for Dynamic Graph Generation

Shenglong Liu, Yixin Li, Xiao Peng, Xu Cheng, Zicai Zhou, Dawei Cheng

Intelligent Computing

DOI

2026

DRDGRL: Dual-Relational Dynamic Graph Representation Learning for Delay-Sensitive Stock Trend Prediction

Mingjie You, Kaijie Chen, Dawei Cheng

Lecture notes in computer science

DOI

2026

Lightweight Orthogonal Adaptive Multi-scale Decomposition for Enhanced Time Series Prediction

Chenhao Jing, Yu Hu, Lizhao Zhu, Dawei Cheng

Intelligent Computing

DOI

2025

知识增强的中文金融大模型研究

程大伟，贾仁军，李江彤，丁志军，蒋昌俊

《大数据》

2025

大模型金融场景能力评测框架研究

程大伟，吴佳璇，李江彤，丁志军，蒋昌俊

《计算机科学》

2025

基于深度对抗网络的动态图生成模型研究

张梦圆，端阳，王彬彬，张蕾，吴裔，刘畅，郭乃网，程大伟

《计算机工程与科学》

2025

数智赋能金融科技前沿专题序言

程大伟

《计算机科学》

2025

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks

Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

MasRouter: Learning to Route LLMs for Multi-Agent Systems

Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Qi Yan

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

International Conference on Machine Learning

DOI

2025

Rationalizing and Augmenting Dynamic Graph Neural Networks

Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo

International Conference on Learning Representations

2025

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study

Ziyang Cheng, Zhixun Li, Yu-Han Li, Yixin Song, Kangyi Zhao, Dawei Cheng, Jia Li, Jeffrey Xu Yu

arXiv.org

DOI

2025

Memory in the Age of AI Agents

Yuyang Hu, Shichun Liu, Yanwei Yue, Gui-Bin Zhang, Bo-Yang Liu, Fangyi Zhu, Jia-Hang Lin, Honglin Guo, Shi-Han Dou, Zhi-Heng Xi, Sen-Jie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, ZhongXiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jia-Xin Guo, Xin-Lei Yu, Zhenhong Zhou, Ze-Wen Hu, Jiahao Huo, Junhao Wang, Yu Niu, Yu Wang, Zhe Yin, Xiao-Bin Hu, Yue Liao, Qian-Kun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, P. Torr, Zhicheng Dou, Jingwen Wen, Xuan-Jing Huang, Yu-Gang Jiang, Shui-Cheng Yan

arXiv.org

DOI

2025

Defending Attacks on Anti-Fraud Model With Generative Graph Representations

Jiasheng Wu, Xincheng Wang, Jie Yang, Dawei Cheng, Guang Yang, Bo Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation

Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Chen Chen, Ying Zhang, Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning

Peng Fei Zhu, Yuante Li, Qinyuan Liu, Dawei Cheng, Changjun Jiang

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting

Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang

International Joint Conference on Artificial Intelligence

DOI

2025

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting

Yifan Hu, Peiyuan Liu, Peng Fei Zhu, Dawei Cheng, Tao Dai

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU

Peng Fei Zhu, Yijie Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang

Neurocomputing

DOI

2025

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation

Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks

Li Han, Longxun Wang, Ziyang Cheng, Bo Wang, Guang Yang, Dawei Cheng, Xuemin Lin

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning

Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wei Wu, Yefeng Zheng

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection

Ziyang Cheng, Jie Yang, Yixin Song, Dawei Cheng, Guang Yang, Bo Wang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting

Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2025

Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction

Linghao Ying, Lixin Zhang, Yaohua Chen, Han Li, Dawei Cheng

Lecture notes in computer science

DOI

2025

Adversarial Backdoor Attacks on Machine Learning with Covert False Data Injection-Part A: Modeling

Charles Z. Liu, Dawei Cheng, Ying Zhang, Lu Qin

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2025

Backdoor Attacks on Machine Learning with Covert False Data Injection-Part B: Tests

Charles Z. Liu, Dawei Cheng, Ying Zhang, Lu Qin

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2025

Efficient Dynamic Attributed Graph Generation

Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin

Proceedings - International Conference on Data Engineering

DOI

2025

Efficient Learning-Based Graph Simulation for Temporal Graphs

Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang

Proceedings - International Conference on Data Engineering

DOI

2025

AIGC for Graphs: Current Techniques and Future Trends

Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang

Proceedings - International Conference on Data Engineering

DOI

2025

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang

DOI

2025

Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection

Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao

DOI

2025

Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating

Jiehao Tang, Wenjun Wang, Dawei Cheng, Hui Zhao, Changjun Jiang

DOI

2025

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection

Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang

DOI

2025

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics

Renjun Jia, Kaiming Yang, Dawei Cheng, Li Han, Yuqi Liang

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2025

Scalable Learning-Based Community-Preserving Graph Generation

Sheng Xiang, Chenhao Xu, Dawei Cheng, Ying Zhang

IEEE Transactions on Big Data

DOI

2025

Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation

Yiwen Jiang, Sheng Xiang, Yihan Dai, Dawei Cheng

International Journal of Pattern Recognition and Artificial Intelligence

DOI

2025

AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning

Tianshi Ming, Xian Wei Wu, Yingying Zhang, Zichuan Fu, Dawei Cheng

DOI

2025

Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool

Jiangtong Li, Dongyi Liu, Kun Zhu, Dawei Cheng, changjun jiang

neural information processing systems

DOI

2024

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach

Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

International Joint Conference on Artificial Intelligence

DOI

2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection

Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Chang-Jun Jiang

AAAI Conference on Artificial Intelligence

DOI

2024

Effective High-order Graph Representation Learning for Credit Card Fraud Detection

Yao Zou, Dawei Cheng

International Joint Conference on Artificial Intelligence

DOI

2024

Graph Lottery Ticket Automated

Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang

International Conference on Learning Representations

2024

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Guibin Zhang, Yanwei Yue, Xiang-Guo Sun, Guan-Cheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng

International Conference on Machine Learning

DOI

2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shi-Rui Pan, Tianlong Chen

International Conference on Machine Learning

DOI

2024

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guan-Cheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen

International Conference on Learning Representations

DOI

2024

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning

Guibin Zhang, Hao Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang

Neural Information Processing Systems

DOI

2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection

Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

arXiv.org

DOI

2024

Graph neural networks for financial fraud detection: a review

Dawei Cheng, Yao Zou, Sheng Xiang, Changjun Jiang

Frontiers of Computer Science

DOI

2024

Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection

Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang

Lecture notes in computer science

DOI

2024

Preferential Selective-Aware Graph Neural Network for Preventing Attacks in Interbank Credit Rating

Junyi Liu, Dawei Cheng, Changjun Jiang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment

Jiangtong Li, Ziyuan Zhou, Jingkai Zhang, Dawei Cheng, Changjun Jiang

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection

Fan Li, Zhiyu Xu, Dawei Cheng, Xiaoyang Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning

Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen

DOI

2024

GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection

Longxun Wang, Ziyang Cheng, Mengmeng Yang, Han Li, Dawei Cheng, Li Hua Xie, Hua-Ming Tian

Lecture notes in computer science

DOI

2024

FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection

Rui Zhang, Wenbo Li, Xiaodong Ning, Dawei Cheng, Han Li, Heguo Yang

Lecture notes in computer science

DOI

2024

Data-driven power load forecasting with neural attention mechanism

Jun Yan, Ning Ma, Jixuan Huang, Yi Wu, Siyu Liao, Peng Fei Zhu, Dawei Cheng

International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI)

DOI

2024

Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections

Jiacheng Ma, Sheng Xiang, Qiang Li, Liangyu Yuan, Dawei Cheng, Changjun Jiang

IEEE Transactions on Big Data

DOI

2024

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU

Peng Fei Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization

Haoyu Sun, Yuxuan Bian, Li Han, Peng Fei Zhu, Dawei Cheng, Yuqi Liang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading

Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Defending adversarial attacks in Graph Neural Networks via tensor enhancement

Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao

Pattern Recognition

DOI

2024

Hypergraph Self-supervised Learning with Sampling-efficient Signals

Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin

DOI

2024

HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction

Yisheng Hu, Guitao Cao, Dawei Cheng

DOI

2024

RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model

Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang

Frontiers of Computer Science

DOI

2024

Hierarchical Attacks on Large-Scale Graph Neural Networks

Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market

Jin‐Yuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao

Lecture notes in computer science

DOI

2024

NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization

Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Fei Zhu, Dawei Cheng

Lecture notes in computer science

DOI

2024

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization

Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Fei Zhu, Dawei Cheng, Yuqi Liang

Lecture notes in computer science

DOI

2023

Predicting stock market trends with self-supervised learning

Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Fei Zhu, Yifeng Luo, Yuqi Liang

Neurocomputing

DOI

2023

Efficient Continuous Space Policy Optimization for High-frequency Trading

Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2023

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network

Jiacheng Ma, Fan Li, Rui Zhang, Zhi‐Kang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang

International Joint Conference on Artificial Intelligence

DOI

2023

Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network

Junyi Liu, Dawei Cheng, Changjun Jiang

International Joint Conference on Artificial Intelligence

DOI

2023

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation

Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning

Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2023

Anti-Money Laundering by Group-Aware Deep Graph Learning

Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Electric Load Forecasting with Fast Fourier Transform-Optimized Transformers

Li Kang, Yihua Guo, Siyu Liao, Yanjun Xu, Ting Wang, Dawei Cheng

International Conference on Electronic Information Engineering and Computer Communication (EIECC)

DOI

2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding

Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2023

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning

Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2023

Transformed Graph Attention for Credit Rating

Charles Z. Liu, Sheng Xiang, Dawei Cheng, Junyi Liu, Ying Zhang, Lu Qin

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2023

Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition

Yibo Yan, Peng Fei Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo

ACM Transactions on Asian and Low-Resource Language Information Processing

DOI

2022

Financial time series forecasting with multi-modality graph neural network

Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu

Pattern Recognition

DOI

2022

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network

Peng Fei Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Neurocomputing

DOI

2022

Regulating systemic crises: Stemming the contagion risk in networked-loans through deep graph learning

Dawei Cheng, Zhibin Niu, Jie Li, Changjun Jiang

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs

Yingying Zhao, Haoyu Sun, Naiwang Guo, Yi Wu, Yingjie Tian, Dawei Cheng

International Conference on Electronic Information Technology and Computer Engineering (EITCE)

DOI

2022

Optimal Action Space Search

Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2022

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2022

Leveraging enterprise knowledge graph to infer web events’ influences via self-supervised learning

Peng Fei Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo

Journal of Web Semantics

DOI

2022

Efficient Learning-based Community-Preserving Graph Generation

Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang

Proceedings - International Conference on Data Engineering

DOI

2022

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract)

Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang

Proceedings - International Conference on Data Engineering

DOI

2022

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph

Peng Fei Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou

IEEE/ACM Transactions on Audio Speech and Language Processing

DOI

2022

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination

Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian

Lecture notes in computer science

DOI

2022

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning

Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian

Lecture notes in computer science

DOI

2022

Improving Events Classification with Latent Space Clustering-Based Similarities

Jiaxuan Wu, Jianghao Gao, Yongdan Fan, Yuanjie Cheng, Peng Fei Zhu, Dawei Cheng

Communications in computer and information science

DOI

2021

Risk assessment for contagion path in complex loan network

Dawei Cheng, Zhibin Niu, Xin-Hai Liu, Liqing Zhang

Scientia Sinica Informationis

DOI

2021

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs

Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Span-reachability querying in large temporal graphs

Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang

The VLDB Journal

DOI

2021

Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast

Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

General graph generators: experiments, analyses, and improvements

Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin

The VLDB Journal

DOI

2021

ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions

Peng Fei Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou

Lecture notes in computer science

DOI

2020

大规模不均衡担保网络贷款的风险研究

程大伟，牛志彬，张丽清

《计算机学报》

精选作品

期刊论文

Empowering Credit Risk Detection in Weixin Pay with Billion-Scale Deep Graph Learning

MAVEN: Multi-Agent Verification-Elaboration Network with In-Step Epistemic Auditing

Explainability-Aligned Attributed Graph Generation

Deep Reinforcement Learning Enhanced Semi-supervised Graph Neural Network for Credit Card Fraud Detection

Conspiracy Spoofing Detection via Structure-Augmented Generative Graph Model

Beyond Knowledge to Agency: Evaluating Expertise, Autonomy, and Integrity in Finance with CNFinBench

Ensemble Graph Neural Networks With Individual Decision Feedback for Graph Classification

Fairness-Aware Hypergraph Self-Supervised Learning With Sampling-Efficient Signals

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection

Large language model-based multi-agent systems for financial markets simulation: a survey

A comprehensive and practical benchmark for financial time series forecasting

On querying minimum spanning tree in temporal graphs

Robust Graph Learning on the Web: Challenges, Methods, and Applications

Credit and Power Co-evolution Modeling with Dynamic Graph Learning

SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory

Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection

Semi-Implicit Temporal Variational Graph Autoencoder for Dynamic Graph Generation

DRDGRL: Dual-Relational Dynamic Graph Representation Learning for Delay-Sensitive Stock Trend Prediction

Lightweight Orthogonal Adaptive Multi-scale Decomposition for Enhanced Time Series Prediction

知识增强的中文金融大模型研究

大模型金融场景能力评测框架研究

基于深度对抗网络的动态图生成模型研究

数智赋能金融科技前沿专题序言

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks

MasRouter: Learning to Route LLMs for Multi-Agent Systems

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Rationalizing and Augmenting Dynamic Graph Neural Networks

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study

Memory in the Age of AI Agents

Defending Attacks on Anti-Fraud Model With Generative Graph Representations

TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation

Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning

PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation

Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks

Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning

Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection

AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting

Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction

Adversarial Backdoor Attacks on Machine Learning with Covert False Data Injection-Part A: Modeling

Backdoor Attacks on Machine Learning with Covert False Data Injection-Part B: Tests

Efficient Dynamic Attributed Graph Generation

Efficient Learning-Based Graph Simulation for Temporal Graphs

AIGC for Graphs: Current Techniques and Future Trends

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection

Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection

Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics

Scalable Learning-Based Community-Preserving Graph Generation

Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation

AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning

Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach

Pre-trained Online Contrastive Learning for Insurance Fraud Detection

Effective High-order Graph Representation Learning for Credit Card Fraud Detection

Graph Lottery Ticket Automated

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection

Graph neural networks for financial fraud detection: a review

Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection

Preferential Selective-Aware Graph Neural Network for Preventing Attacks in Interbank Credit Rating

HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment

AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection

Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning

GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection

FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection

Data-driven power load forecasting with neural attention mechanism

Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization

Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading

Defending adversarial attacks in Graph Neural Networks via tensor enhancement