A new collaborative sketching method on web browser. - Dawei Cheng; Wenxi Zhu; Danqiong Li; Zhen Zhou (APCHI, 2013)

A cluster information navigate method by gaze tracking. - Dawei Cheng; Danqiong Li; Liang Fang (UIST (Adjunct Volume), 2013)

Learning Dynamic Models of Gaze Point Mapping from Eye Movement. - Dawei Cheng; Mingyang An; Weiqian Yu; Liang Fang (ICIMCS, 2014)

Credit Card Fraud Detection Using Convolutional Neural Networks. - Kang Fu; Dawei Cheng; Yi Tu; Liqing Zhang 001 (ICONIP (3), 2016)

Visual analytics for loan guarantee network risk management. - Dawei Cheng; Zhibin Niu; Junchi Yan; Jiawan Zhang; Liqing Zhang 001 (CoRR, 2017)

A hybrid approach for risk assessment of loan guarantee network. - Zhibin Niu; Dawei Cheng; Junchi Yan; Jiawan Zhang; Liqing Zhang 001; Hongyuan Zha (CoRR, 2017)

Visual Analytics for Networked-Guarantee Loans Risk Management. - Zhibin Niu; Dawei Cheng; Liqing Zhang 001; Jiawan Zhang (PacificVis, 2018)

Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks. - Dawei Cheng; Ye Liu 008; Liqing Zhang 001 (ICASSP, 2018)

Learning Temporal Relationships Between Financial Signals. - Dawei Cheng; Yi Tu; Zhibin Niu; Liqing Zhang 001 (ICASSP, 2018)

Prediction Defaults for Networked-guarantee Loans. - Dawei Cheng; Zhibin Niu; Yi Tu; Liqing Zhang 001 (ICPR, 2018)

Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. - Dawei Cheng; Chun Cao; Chang Xu 001; Xiaoxing Ma (QRS, 2018)

Modeling Similarities Among Multi-Dimensional Financial Time Series. - Dawei Cheng; Ye Liu 008; Zhibin Niu; Liqing Zhang 001 (IEEE Access, 2018)

A Dynamic Default Prediction Framework for Networked-guarantee Loans. - Dawei Cheng; Yiyi Zhang; Fangzhou Yang; Yi Tu; Zhibin Niu; Liqing Zhang 001 (CIKM, 2019)

AgriKG: An Agricultural Knowledge Graph and Its Applications. - Yuanzhe Chen; Jun Kuang; Dawei Cheng; Jianbin Zheng 001; Ming Gao 001; Aoying Zhou (DASFAA (3), 2019)

Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. - Dawei Cheng; Yi Tu; Zhen-Wei Ma; Zhibin Niu; Liqing Zhang 001 (IJCAI, 2019)

ProtoNet: Learning from Web Data with Memory. - Yi Tu; Li Niu 002; Dawei Cheng; Liqing Zhang 001 (CoRR, 2019)

VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans. - Dawei Cheng; Xiaoyang Wang 002; Ying Zhang 001; Shunzhang Wang (CoRR, 2019)

BHONEM: Binary High-Order Network Embedding Methods for Networked-Guarantee Loans. - Dawei Cheng; Yi Tu; Zhen-Wei Ma; Zhibin Niu; Liqing Zhang 001 (J. Comput. Sci. Technol., 2019)

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. - Dawei Cheng; Sheng Xiang; Chencheng Shang; Yiyi Zhang; Fangzhou Yang; Liqing Zhang 001 (AAAI, 2020)

Image Cropping with Composition and Saliency Aware Aesthetic Score Map. - Yi Tu; Li Niu 002; Weijie Zhao 003; Dawei Cheng; Liqing Zhang 001 (AAAI, 2020)

Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. - Yiyi Zhang; Li Niu 002; Ziqi Pan; Meichao Luo; Jianfu Zhang 003; Dawei Cheng; Liqing Zhang 001 (AAAI, 2020)

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 (CIKM, 2020)

Learning From Web Data With Self-Organizing Memory Module. - Yi Tu; Li Niu 002; Junjie Chen 008; Dawei Cheng; Liqing Zhang 001 (CVPR, 2020)

VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. - Xiufeng Liu; Zhibin Niu; Yanyan Yang 002; Junqi Wu 003; Dawei Cheng; Xin Wang 064 (EDBT, 2020)

iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans. - Zhibin Niu; Runlin Li; Junqi Wu 003; Dawei Cheng; Jiawan Zhang (IEEE VAST@IEEE VIS, 2020)

Risk Guarantee Prediction in Networked-Loans. - Dawei Cheng; Xiaoyang Wang 002; Ying Zhang 001; Liqing Zhang 001 (IJCAI, 2020)

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 (IJCAI, 2020)

Contagious Chain Risk Rating for Networked-guarantee Loans. - Dawei Cheng; Zhibin Niu; Yiyi Zhang (KDD, 2020)

Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. - Dawei Cheng; Fangzhou Yang; Xiaoyang Wang 002; Ying Zhang 001; Liqing Zhang 001 (SIGIR, 2020)

Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. - Xueni Luo; Dawei Cheng; Haorui Ma; Junhao Wang; Mengzhen Fan; Yifeng Luo (CIKM, 2021)

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 (DASFAA (2), 2021)

Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks. - Zhibin Niu; Junqi Wu 003; Dawei Cheng; Jiawan Zhang (CoRR, 2021)

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. - Zhongjie Duan; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2022)

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. - Sheng Xiang; Dawei Cheng; Chencheng Shang; Ying Zhang 001; Yuqi Liang (CIKM, 2022)

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. - Moming Tang; Dawei Cheng; Cen Chen 001; Yuqi Liang; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. - Ruyao Xu; Dawei Cheng; Cen Chen 001; Siqiang Luo; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs. - Yingying Zhao; Haoyu Sun; Naiwang Guo; Yi Wu 011; Yingjie Tian 002; Dawei Cheng (EITCE, 2022)

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). - Dawei Cheng; Chen Chen 017; Xiaoyang Wang 002; Sheng Xiang (ICDE, 2022)

Efficient Learning-based Community-Preserving Graph Generation. - Sheng Xiang; Dawei Cheng; Jianfu Zhang 003; Zhenwei Ma; Xiaoyang Wang 002; Ying Zhang 001 (ICDE, 2022)

SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. - Peng Zhu; Dawei Cheng; Siqiang Luo; Fangzhou Yang; Yifeng Luo; Weining Qian; Aoying Zhou (Neurocomputing, 2022)

Financial time series forecasting with multi-modality graph neural network. - Dawei Cheng; Fangzhou Yang; Sheng Xiang; Jin Liu (Pattern Recognit., 2022)

Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. - Peng Zhu; Dawei Cheng; Fangzhou Yang; Yifeng Luo; Dingjiang Huang; Weining Qian; Aoying Zhou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention. - Dawei Cheng; Xiaoyang Wang 002; Ying Zhang 001; Liqing Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Span-reachability querying in large temporal graphs. - Dong Wen 001; Bohua Yang; Ying Zhang 001; Lu Qin 001; Dawei Cheng; Wenjie Zhang 001 (VLDB J., 2022)

General graph generators: experiments, analyses, and improvements. - Sheng Xiang; Dong Wen 001; Dawei Cheng; Ying Zhang 001; Lu Qin 001; Zhengping Qian; Xuemin Lin 001 (VLDB J., 2022)

Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. - Peng Zhu; Dawei Cheng; Siqiang Luo; Ruyao Xu; Yuqi Liang; Yifeng Luo (J. Web Semant., 2022)

Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning. - Dawei Cheng; Zhibin Niu; Jianfu Zhang 003; Yiyi Zhang; Changjun Jiang (AAAI, 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 006; Yefeng Zheng 001 (AAAI, 2023)

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. - Zhenzhen Chu; Chengyu Wang 001; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2023)

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. - Taolin Zhang 001; Ruyao Xu; Chengyu Wang 001; Zhongjie Duan; Cen Chen 001; Minghui Qiu; Dawei Cheng; Xiaofeng He; Weining Qian (EMNLP, 2023)

Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. - Junyi Liu 003; Dawei Cheng; Changjun Jiang (IJCAI, 2023)

Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. - Jiacheng Ma 006; Fan Li 016; Rui Zhang; Zhikang Xu; Dawei Cheng; Yi Ouyang; Ruihui Zhao; Jianguang Zheng; Yefeng Zheng 001; Changjun Jiang (IJCAI, 2023)

Efficient Continuous Space Policy Optimization for High-frequency Trading. - Li Han 001; Nan Ding; Guoxuan Wang; Dawei Cheng; Yuqi Liang (KDD, 2023)

CFGPT: Chinese Financial Assistant with Large Language Model. - Jiangtong Li; Yuxuan Bian; Guoxuan Wang; Yang Lei; Dawei Cheng; Zhijun Ding; Changjun Jiang (CoRR, 2023)

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model. - Yang Lei; Jiangtong Li; Ming Jiang 018; Junjie Hu 001; Dawei Cheng; Zhijun Ding; Changjun Jiang (CoRR, 2023)

Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition. - Yibo Yan; Peng Zhu; Dawei Cheng; Fangzhou Yang; Yifeng Luo (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs. - Dawei Cheng; Chen Chen 017; Xiaoyang Wang 002; Sheng Xiang (IEEE Trans. Knowl. Data Eng., 2023)

Delinquent Events Prediction in Temporal Networked-Guarantee Loans. - Dawei Cheng; Zhibin Niu; Liqing Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning. - Dawei Cheng; Zhibin Niu; Jie Li 049; Changjun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II. - Dawei Cheng; Zhong Lu; Jia Zhou; Xihui Liang (Reliab. Eng. Syst. Saf., 2023)

Anti-Money Laundering by Group-Aware Deep Graph Learning. - Dawei Cheng; Yujia Ye; Sheng Xiang; Zhenwei Ma; Ying Zhang 001; Changjun Jiang (IEEE Trans. Knowl. Data Eng., 2023)

Pre-trained Online Contrastive Learning for Insurance Fraud Detection. - Rui Zhang; Dawei Cheng; Jie Yang 039; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001; Changjun Jiang (AAAI, 2024)

GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection. - Longxun Wang; Ziyang Cheng; Mengmeng Yang; Li Han 001; Dawei Cheng; Li Xie; Huaming Tian (ADMA (3), 2024)

FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection. - Rui Zhang; Wenbo Li; Xiaodong Ning; Dawei Cheng; Li Han 001; Heguo Yang (ADMA (3), 2024)

Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. - Kaiming Pan; Yifan Hu; Li Han 001; Haoyu Sun; Dawei Cheng; Yuqi Liang (CIKM, 2024)

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. - Haoyu Sun; Yuxuan Bian; Li Han 001; Peng Zhu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

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 (CIKM, 2024)

NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization. - Yuxuan Bian; Haoyu Sun; Yang Lei; Peng Zhu; Dawei Cheng (DASFAA (6), 2024)

Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection. - Yao Zou; Sheng Xiang; Qijun Miao; Dawei Cheng; Changjun Jiang (DASFAA (6), 2024)

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 001 (DEXA (1), 2024)

Hierarchical Attacks on Large-Scale Graph Neural Networks. - Jianfu Zhang 003; Yan Hong 001; Dawei Cheng; Liqing Zhang 001; Qibin Zhao (ICASSP, 2024)

Graph Lottery Ticket Automated. - Guibin Zhang; Kun Wang 056; Wei Huang 034; Yanwei Yue; Yang Wang 015; Roger Zimmermann; Aojun Zhou; Dawei Cheng; Jin Zeng; Yuxuan Liang (ICLR, 2024)

Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning. - Yuxuan Bian; Xuan Ju; Jiangtong Li; Zhijian Xu; Dawei Cheng; Qiang Xu 001 (ICML, 2024)

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. - Guibin Zhang; Yanwei Yue; Kun Wang 056; Junfeng Fang; Yongduo Sui; Kai Wang 036; Yuxuan Liang; Dawei Cheng; Shirui Pan; Tianlong Chen 001 (ICML, 2024)

Hypergraph Self-supervised Learning with Sampling-efficient Signals. - Fan Li 016; Xiaoyang Wang 002; Dawei Cheng; Wenjie Zhang 001; Ying Zhang 001; Xuemin Lin 001 (IJCAI, 2024)

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. - Jiasheng Wu; Xin Liu; Dawei Cheng; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001 (IJCAI, 2024)

Effective High-order Graph Representation Learning for Credit Card Fraud Detection. - Yao Zou; Dawei Cheng (IJCAI, 2024)

HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction. - Yisheng Hu; Guitao Cao; Dawei Cheng (IJCNN, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 056 (NeurIPS, 2024)

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. - Haoyu Sun; Xin Liu; Yuxuan Bian; Peng Zhu; Dawei Cheng; Yuqi Liang (ECML/PKDD (9), 2024)

Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning. - Yuxuan Bian; Xuan Ju; Jiangtong Li; Zhijian Xu; Dawei Cheng; Qiang Xu 001 (CoRR, 2024)

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. - Rui Zhang; Dawei Cheng; Xin Liu; Jie Yang 039; Yi Ouyang; Xian Wu 001; Yefeng Zheng 001 (CoRR, 2024)

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 042; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (CoRR, 2024)

TCGU: Data-centric Graph Unlearning based on Transferable Condensation. - Fan Li 016; Xiaoyang Wang 002; Dawei Cheng; Wenjie Zhang 001; Ying Zhang 001; Xuemin Lin 001 (CoRR, 2024)

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 042; Dawei Cheng (CoRR, 2024)

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. - Guibin Zhang; Haonan Dong; Yuchen Zhang; Zhixun Li; Dingshuo Chen; Kai Wang 036; Tianlong Chen 001; Yuxuan Liang; Dawei Cheng; Kun Wang 042 (CoRR, 2024)

Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool. - Jiangtong Li; Dungy Liu; Dawei Cheng; Changchun Jiang (CoRR, 2024)

Predicting stock market trends with self-supervised learning. - Zelin Ying; Dawei Cheng; Cen Chen 001; Xiang Li 067; Peng Zhu; Yifeng Luo; Yuqi Liang (Neurocomputing, 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 Comput. Sci., 2024)

AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection. - Fan Li 016; Zhiyu Xu; Dawei Cheng; Xiaoyang Wang 002 (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Yifan Hu; Peiyuan Liu; Peng Zhu; Dawei Cheng; Tao Dai 001 (AAAI, 2025)

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks. - Yanwei Yue; Guibin Zhang; Haoran Yang; Dawei Cheng (AAAI, 2025)

AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning. - Tianshi Ming; Xian Wu 001; Yingying Zhang; Zichuan Fu; Dawei Cheng (ACL (Findings), 2025)

MasRouter: Learning to Route LLMs for Multi-Agent Systems. - Yanwei Yue; Guibin Zhang; Boyang Liu; Guancheng Wan; Kun Wang 056; Dawei Cheng; Yiyan Qi (ACL (1), 2025)

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics. - Renjun Jia; Kaiming Yang; Dawei Cheng; Li Han 001; Yuqi Liang (ICASSP, 2025)

Efficient Dynamic Attributed Graph Generation. - Fan Li 016; Xiaoyang Wang 002; Dawei Cheng; Cong Chen; Ying Zhang 001; Xuemin Lin 001 (ICDE, 2025)

AIGC for Graphs: Current Techniques and Future Trends. - Hanchen Wang 001; Dawei Cheng; Ying Zhang 001; Wenjie Zhang 001 (ICDE, 2025)

Efficient Learning-Based Graph Simulation for Temporal Graphs. - Sheng Xiang; Chenhao Xu; Dawei Cheng; Xiaoyang Wang 002; Ying Zhang 001 (ICDE, 2025)

Rationalizing and Augmenting Dynamic Graph Neural Networks. - Guibin Zhang; Yiyan Qi; Ziyang Cheng; Yanwei Yue; Dawei Cheng; Jian Guo (ICLR, 2025)

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 056; Dawei Cheng; Jeffrey Xu Yu; Tianlong Chen 001 (ICLR, 2025)

Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection. - Xin Liu; Haojun Rui; Dawei Cheng; Li Han 001; Zhongyun Zhou 001; Guoping Zhao (WWW, 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 (WWW, 2025)

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection. - Sheng Xiang; Yidong Jiang; Yunting Chen; Dawei Cheng; Guoping Zhao; Changjun Jiang (WWW, 2025)

Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection. - Jie Yang 039; Rui Zhang; Ziyang Cheng; Dawei Cheng; Guang Yang; Bo Wang 162 (WWW, 2025)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu; Yuante Li; Yifan Hu; Sheng Xiang; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)

Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation. - Yiwen Jiang; Sheng Xiang; Yihan Dai; Dawei Cheng (Int. J. Pattern Recognit. Artif. Intell., 2025)

Defending adversarial attacks in Graph Neural Networks via tensor enhancement. - Jianfu Zhang 003; Yan Hong 001; Dawei Cheng; Liqing Zhang 001; Qibin Zhao (Pattern Recognit., 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 001; Shu-Tao Xia; Shirui Pan (CoRR, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting. - Yifan Hu; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai 001; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks. - Li Han 001; Longxun Wang; Ziyang Cheng; Bo Wang 162; Guang Yang; Dawei Cheng; Xuemin Lin 001 (IEEE Trans. Knowl. Data Eng., 2025)

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study. - Ziyang Cheng; Zhixun Li; Yuhan Li 001; Yixin Song; Kangyi Zhao; Dawei Cheng; Jia Li 009; Jeffrey Xu Yu (CoRR, 2025)

Language Model-Enhanced Message Passing for Heterophilic Graph Learning. - Wenjun Wang; Dawei Cheng (CoRR, 2025)

Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation. - Sheng Xiang; Guibin Zhang; Dawei Cheng; Ying Zhang 001 (IEEE Trans. Knowl. Data Eng., 2025)

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model. - Jiangtong Li; Yiyun Zhu; Dawei Cheng; Zhijun Ding; Changjun Jiang (CoRR, 2025)

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design. - Kai Lan; Jiayong Zhu; Jiangtong Li; Dawei Cheng; Guang Chen; Changjun Jiang (CoRR, 2025)

Preferential Selective-Aware Graph Neural Network for Preventing Attacks in Interbank Credit Rating. - Junyi Liu 003; Dawei Cheng; Changjun Jiang (IEEE Trans. Neural Networks Learn. Syst., 2025)

HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment. - Jiangtong Li; Ziyuan Zhou; Jingkai Zhang; Dawei Cheng; Changjun Jiang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections. - Jiacheng Ma 006; Sheng Xiang; Qiang Li; Liangyu Yuan; Dawei Cheng; Changjun Jiang (IEEE Trans. Big Data, 2025)

Graph neural networks for financial fraud detection: a review. - Dawei Cheng; Yao Zou; Sheng Xiang; Changjun Jiang (Frontiers Comput. Sci., 2025)