| 2026 | AAAI | Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection. | Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, Changjun Jiang |
| 2026 | DASFAA | DRDGRL: Dual-Relational Dynamic Graph Representation Learning for Delay-Sensitive Stock Trend Prediction. | Mingjie You, Kaijie Chen, Dawei Cheng |
| 2026 | WWW | Robust Graph Learning on the Web: Challenges, Methods, and Applications. | Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
| 2026 | WWW | Credit and Power Co-evolution Modeling with Dynamic Graph Learning. | Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng |
| 2026 | WWW | Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting. | Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang |
| 2026 | WSDM | SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory. | Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu, Dawei Cheng |
| 2025 | AAAI | Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. | Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai |
| 2025 | AAAI | Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks. | Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng |
| 2025 | ACL | AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning. | Tianshi Ming, Xian Wu, Yingying Zhang, Zichuan Fu, Dawei Cheng |
| 2025 | ACL | MasRouter: Learning to Route LLMs for Multi-Agent Systems. | Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi |
| 2025 | ADMA | Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction. | Linghao Ying, Lixin Zhang, Yaohua Chen, Li Han, Dawei Cheng |
| 2025 | CIKM | Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection. | Ziyang Cheng, Jie Yang, Yixin Song, Dawei Cheng, Guang Yang, Bo Wang |
| 2025 | CIKM | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. | Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang |
| 2025 | ICASSP | Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics. | Renjun Jia, Kaiming Yang, Dawei Cheng, Li Han, Yuqi Liang |
| 2025 | ICDE | Efficient Dynamic Attributed Graph Generation. | Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin |
| 2025 | ICDE | AIGC for Graphs: Current Techniques and Future Trends. | Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang |
| 2025 | ICDE | Efficient Learning-Based Graph Simulation for Temporal Graphs. | Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang |
| 2025 | ICLR | Rationalizing and Augmenting Dynamic Graph Neural Networks. | Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo |
| 2025 | ICLR | Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. | Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen |
| 2025 | ICML | 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 |
| 2025 | ICML | G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. | Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng |
| 2025 | IJCAI | PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting. | Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang |
| 2025 | IJCAI | 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 |
| 2025 | WWW | Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection. | Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao |
| 2025 | WWW | Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating. | Jiehao Tang, Wenjun Wang, Dawei Cheng, Hui Zhao, Changjun Jiang |
| 2025 | WWW | Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. | Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang |
| 2025 | WWW | Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection. | Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang |
| 2024 | AAAI | Pre-trained Online Contrastive Learning for Insurance Fraud Detection. | Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang |
| 2024 | ADMA | GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection. | Longxun Wang, Ziyang Cheng, Mengmeng Yang, Li Han, Dawei Cheng, Li Xie, Huaming Tian |
| 2024 | ADMA | FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection. | Rui Zhang, Wenbo Li, Xiaodong Ning, Dawei Cheng, Li Han, Heguo Yang |
| 2024 | CIKM | Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. | Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang |
| 2024 | CIKM | Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. | Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang |
| 2024 | CIKM | LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. | Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang |
| 2024 | DASFAA | NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization. | Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng |
| 2024 | DASFAA | Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection. | Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang |
| 2024 | DEXA | CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. | Jinyuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao |
| 2024 | ICASSP | Hierarchical Attacks on Large-Scale Graph Neural Networks. | Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao |
| 2024 | ICLR | Graph Lottery Ticket Automated. | Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang |
| 2024 | ICML | Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning. | Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu |
| 2024 | ICML | 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, Shirui Pan, Tianlong Chen |
| 2024 | IJCAI | Hypergraph Self-supervised Learning with Sampling-efficient Signals. | Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin |
| 2024 | IJCAI | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. | Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng |
| 2024 | IJCAI | Effective High-order Graph Representation Learning for Credit Card Fraud Detection. | Yao Zou, Dawei Cheng |
| 2024 | IJCNN | HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction. | Yisheng Hu, Guitao Cao, Dawei Cheng |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | CIKM | 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 |
| 2023 | EMNLP | 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 |
| 2023 | IJCAI | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. | Junyi Liu, Dawei Cheng, Changjun Jiang |
| 2023 | IJCAI | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. | Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang |
| 2023 | KDD | Efficient Continuous Space Policy Optimization for High-frequency Trading. | Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang |
| 2022 | CIKM | Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. | Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian |
| 2022 | CIKM | Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. | Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang |
| 2022 | DASFAA | 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 |
| 2022 | DASFAA | 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 |
| 2022 | ICDE | Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). | Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang |
| 2022 | ICDE | Efficient Learning-based Community-Preserving Graph Generation. | Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang |
| 2021 | CIKM | Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. | Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo |
| 2021 | DASFAA | ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions. | Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou |
| 2020 | AAAI | Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. | Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang |
| 2020 | AAAI | Image Cropping with Composition and Saliency Aware Aesthetic Score Map. | Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang |
| 2020 | AAAI | Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. | Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang |
| 2020 | CIKM | Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. | Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou |
| 2020 | CVPR | Learning From Web Data With Self-Organizing Memory Module. | Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang |
| 2020 | EDBT | VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. | Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang |
| 2020 | IJCAI | Risk Guarantee Prediction in Networked-Loans. | Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang |
| 2020 | IJCAI | F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. | Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou |
| 2020 | KDD | Contagious Chain Risk Rating for Networked-guarantee Loans. | Dawei Cheng, Zhibin Niu, Yiyi Zhang |
| 2020 | SIGIR | Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. | Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang |
| 2019 | CIKM | A Dynamic Default Prediction Framework for Networked-guarantee Loans. | Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2019 | DASFAA | AgriKG: An Agricultural Knowledge Graph and Its Applications. | Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou |
| 2019 | IJCAI | Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. | Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang |
| 2018 | ICASSP | Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks. | Dawei Cheng, Ye Liu, Liqing Zhang |
| 2018 | ICASSP | Learning Temporal Relationships Between Financial Signals. | Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2018 | ICPR | Prediction Defaults for Networked-guarantee Loans. | Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang |
| 2018 | QRS | Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. | Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma |
| 2016 | ICONIP | Credit Card Fraud Detection Using Convolutional Neural Networks. | Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang |
| 2013 | UIST | A cluster information navigate method by gaze tracking. | Dawei Cheng, Danqiong Li, Liang Fang |