Dawei Cheng

164 papers A* 43A 12B 4C 1Misc 4Journal 81Unranked 19
YearRankTypeTitle / Venue / Authors
2026 A* conf
Credit and Power Co-evolution Modeling with Dynamic Graph Learning.
WWW
Wenhao Ying, Peng Zhu, Mingzhe Li, Ziyan Wang, Dawei Cheng
2026 J jnl
Defending Attacks on Anti-Fraud Model With Generative Graph Representations.
IEEE Trans. Knowl. Data Eng.
Jiasheng Wu, Xincheng Wang, Jie Yang, Dawei Cheng, Guang Yang, Bo Wang
2026 A* conf
Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting.
WWW
Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang
2026 J jnl
Efficient Approximate Nearest Neighbor Search under Multi-Attribute Range Filter.
CoRR
Yuanhang Yu, Dawei Cheng, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin
2026 J jnl
From Comprehension to Reasoning: A Hierarchical Benchmark for Automated Financial Research Reporting.
CoRR
Yiyun Zhu, Yidong Jiang, Ziwen Xu, Yinsheng Yao, Dawei Cheng, Jinru Ding, Yejie Zheng, Jie Xu
2026 J jnl
Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2026 J jnl
Interpreting Emergent Extreme Events in Multi-Agent Systems.
CoRR
Ling Tang, Jilin Mei, Dongrui Liu, Chen Qian, Dawei Cheng, Jing Shao, Xia Hu
2026 A* conf
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection.
AAAI
Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, Changjun Jiang
2026 A conf
SoftHist: Teaching Graph Injection Attackers to Camouflage with Memory.
WSDM
Yidong Jiang, Ziwen Xu, Linbo Shao, Peng Zhu, Dawei Cheng
2026 J jnl
SysML Model-Based Safety Analysis in Airborne System Design Using Formal Verification.
IEEE Trans. Reliab.
Dawei Cheng, Zhong Lu
2026 J jnl
TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation.
IEEE Trans. Knowl. Data Eng.
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Chen Chen, Ying Zhang, Xuemin Lin
2025 A* conf
AIGC for Graphs: Current Techniques and Future Trends.
ICDE
Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang
2025 A conf
AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting.
CIKM
Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang
2025 A* conf
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
AAAI
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2025 — conf
AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning.
ACL (Findings)
Tianshi Ming, Xian Wu, Yingying Zhang, Zichuan Fu, Dawei Cheng
2025 J jnl
CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model.
CoRR
Jiangtong Li, Yiyun Zhu, Dawei Cheng, Zhijun Ding, Changjun Jiang
2025 J jnl
CNFinBench: A Benchmark for Safety and Compliance of Large Language Models in Finance.
CoRR
Jinru Ding, Chao Ding, Wenrao Pang, Boyi Xiao, Zhiqiang Liu, Pengcheng Chen, Jiayuan Chen, Tiantian Yuan, Junming Guan, Yidong Jiang, Dawei Cheng, Jie Xu
2025 J jnl
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study.
CoRR
Ziyang Cheng, Zhixun Li, Yuhan Li, Yixin Song, Kangyi Zhao, Dawei Cheng, Jia Li, Jeffrey Xu Yu
2025 J jnl
Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers.
CoRR
Dongyi Liu, Jiangtong Li, Dawei Cheng, Changjun Jiang
2025 A* conf
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
ICLR
Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2025 J jnl
Deep Ensemble Stochastic Configuration Network via Graph Intuitionistic Fuzzy for Depression Recognition.
IEEE Trans. Fuzzy Syst.
Chenglong Zhang, Dawei Cheng, Jiankai Xue, Feng Wu, David Zhang
2025 J jnl
Defending adversarial attacks in Graph Neural Networks via tensor enhancement.
Pattern Recognit.
Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
2025 A* conf
Dual Pairwise Pre-training and Prompt-tuning with Aligned Prototypes for Interbank Credit Rating.
WWW
Jiehao Tang, Wenjun Wang, Dawei Cheng, Hui Zhao, Changjun Jiang
2025 J jnl
Effective High-order Graph Representation Learning for Credit Card Fraud Detection.
CoRR
Yao Zou, Dawei Cheng
2025 A* conf
Efficient Dynamic Attributed Graph Generation.
ICDE
Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin
2025 A* conf
Efficient Learning-Based Graph Simulation for Temporal Graphs.
ICDE
Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang
2025 J jnl
Efficient Learning-based Graph Simulation for Temporal Graphs.
CoRR
Sheng Xiang, Chenhao Xu, Dawei Cheng, Xiaoyang Wang, Ying Zhang
2025 J jnl
Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation.
IEEE Trans. Knowl. Data Eng.
Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang
2025 A* conf
Enhancing Portfolio Optimization via Heuristic-Guided Inverse Reinforcement Learning with Multi-Objective Reward and Graph-based Policy Learning.
IJCAI
Wenyi Zhang, Renjun Jia, Yanhao Wang, Dawei Cheng, Minghao Zhao, Cen Chen
2025 A* conf
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks.
AAAI
Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng
2025 J jnl
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design.
CoRR
Kai Lan, Jiayong Zhu, Jiangtong Li, Dawei Cheng, Guang Chen, Changjun Jiang
2025 J jnl
FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction.
CoRR
Yifan Hu, Peiyuan Liu, Yuante Li, Dawei Cheng, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia
2025 J jnl
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting.
CoRR
Yifan Hu, Yuante Li, Peiyuan Liu, Yuxia Zhu, Naiqi Li, Tao Dai, Shutao Xia, Dawei Cheng, Changjun Jiang
2025 J jnl
Financial Time Series Prediction With Multi-Granularity Graph Augmented Learning.
IEEE Trans. Knowl. Data Eng.
Peng Zhu, Yuante Li, Qinyuan Liu, Dawei Cheng, Changjun Jiang
2025 A* conf
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
ICML
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng
2025 J jnl
Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation.
Int. J. Pattern Recognit. Artif. Intell.
Yiwen Jiang, Sheng Xiang, Yihan Dai, Dawei Cheng
2025 A* conf
Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection.
WWW
Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang
2025 J jnl
Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection.
CoRR
Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang
2025 A* conf
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection.
WWW
Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang
2025 J jnl
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection.
CoRR
Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang
2025 J jnl
Graph neural networks for financial fraud detection: a review.
Frontiers Comput. Sci.
Dawei Cheng, Yao Zou, Sheng Xiang, Changjun Jiang
2025 Misc conf
Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics.
ICASSP
Renjun Jia, Kaiming Yang, Dawei Cheng, Li Han, Yuqi Liang
2025 J jnl
HFTCRNet: Hierarchical Fusion Transformer for Interbank Credit Rating and Risk Assessment.
IEEE Trans. Neural Networks Learn. Syst.
Jiangtong Li, Ziyuan Zhou, Jingkai Zhang, Dawei Cheng, Changjun Jiang
2025 J jnl
Language Model-Enhanced Message Passing for Heterophilic Graph Learning.
CoRR
Wenjun Wang, Dawei Cheng
2025 J jnl
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.
Neurocomputing
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2025 — conf
MasRouter: Learning to Route LLMs for Multi-Agent Systems.
ACL (1)
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi
2025 J jnl
MasRouter: Learning to Route LLMs for Multi-Agent Systems.
CoRR
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi
2025 J jnl
Memory in the Age of AI Agents.
CoRR
Yuyang Hu, Shichun Liu, Yanwei Yue, Guibin Zhang, Boyang Liu, Fangyi Zhu, Jiahang Lin, Honglin Guo, Shihan Dou, Zhiheng Xi, Senjie Jin, Jiejun Tan, Yanbin Yin, Jiongnan Liu, Zeyu Zhang, Zhongxiang Sun, Yutao Zhu, Hao Sun, Boci Peng, Zhenrong Cheng, Xuanbo Fan, Jiaxin Guo, Xinlei Yu, Zhenhong Zhou, Zewen Hu, Jiahao Huo, Junhao Wang, Yuwei Niu, Yu Wang, Zhenfei Yin, Xiaobin Hu, Yue Liao, Qiankun Li, Kun Wang, Wangchunshu Zhou, Yixin Liu, Dawei Cheng, Qi Zhang, Tao Gui, Shirui Pan, Yan Zhang, Philip Torr, Zhicheng Dou, Ji-Rong Wen, Xuanjing Huang, Yu-Gang Jiang, Shuicheng Yan
2025 J jnl
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Li Han, Longxun Wang, Ziyang Cheng, Bo Wang, Guang Yang, Dawei Cheng, Xuemin Lin
2025 A* conf
Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection.
WWW
Xin Liu, Haojun Rui, Dawei Cheng, Li Han, Zhongyun Zhou, Guoping Zhao
2025 J jnl
Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection.
IEEE Trans. Inf. Forensics Secur.
Mingjian Guang, Zhong Li, Chungang Yan, Yuhua Xu, Junli Wang, Dawei Cheng, Changjun Jiang
2025 A conf
Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection.
CIKM
Ziyang Cheng, Jie Yang, Yixin Song, Dawei Cheng, Guang Yang, Bo Wang
2025 A* conf
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting.
IJCAI
Fan Li, Guoxuan Wang, Huiyu Chu, Dawei Cheng, Xiaoyang Wang
2025 J jnl
Parallel Graph Learning With Temporal Stamp Encoding for Fraudulent Transactions Detections.
IEEE Trans. Big Data
Jiacheng Ma, Sheng Xiang, Qiang Li, Liangyu Yuan, Dawei Cheng, Changjun Jiang
2025 J jnl
Preferential Selective-Aware Graph Neural Network for Preventing Attacks in Interbank Credit Rating.
IEEE Trans. Neural Networks Learn. Syst.
Junyi Liu, Dawei Cheng, Changjun Jiang
2025 A* conf
Rationalizing and Augmenting Dynamic Graph Neural Networks.
ICLR
Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo
2025 J jnl
Scalable Learning-Based Community-Preserving Graph Generation.
IEEE Trans. Big Data
Sheng Xiang, Chenhao Xu, Dawei Cheng, Ying Zhang
2025 — conf
Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction.
ADMA (4)
Linghao Ying, Lixin Zhang, Yaohua Chen, Li Han, Dawei Cheng
2025 A* conf
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting.
ICML
Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2025 J jnl
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting.
CoRR
Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan
2024 J jnl
AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection.
IEEE Trans. Knowl. Data Eng.
Fan Li, Zhiyu Xu, Dawei Cheng, Xiaoyang Wang
2024 J jnl
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting.
CoRR
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
2024 — conf
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.
ECML/PKDD (9)
Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 J jnl
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool.
CoRR
Jiangtong Li, Dungy Liu, Dawei Cheng, Changchun Jiang
2024 — conf
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market.
DEXA (1)
Jinyuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao
2024 A conf
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading.
CIKM
Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang
2024 J jnl
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
CoRR
Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen
2024 A conf
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.
CIKM
Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 A* conf
Effective High-order Graph Representation Learning for Credit Card Fraud Detection.
IJCAI
Yao Zou, Dawei Cheng
2024 J jnl
Efficient Dynamic Attributed Graph Generation.
CoRR
Fan Li, Xiaoyang Wang, Dawei Cheng, Cong Chen, Ying Zhang, Xuemin Lin
2024 — conf
FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection.
ADMA (3)
Rui Zhang, Wenbo Li, Xiaodong Ning, Dawei Cheng, Li Han, Heguo Yang
2024 J jnl
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks.
CoRR
Yanwei Yue, Guibin Zhang, Haoran Yang, Dawei Cheng
2024 J jnl
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.
CoRR
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng
2024 A* conf
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
NeurIPS
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 J jnl
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
CoRR
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 — conf
GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection.
ADMA (3)
Longxun Wang, Ziyang Cheng, Mengmeng Yang, Li Han, Dawei Cheng, Li Xie, Huaming Tian
2024 J jnl
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.
CoRR
Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2024 A* conf
Graph Lottery Ticket Automated.
ICLR
Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
2024 J jnl
Graph Neural Networks for Financial Fraud Detection: A Review.
CoRR
Dawei Cheng, Yao Zou, Sheng Xiang, Changjun Jiang
2024 B conf
HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction.
IJCNN
Yisheng Hu, Guitao Cao, Dawei Cheng
2024 Misc conf
Hierarchical Attacks on Large-Scale Graph Neural Networks.
ICASSP
Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
2024 A* conf
Hypergraph Self-supervised Learning with Sampling-efficient Signals.
IJCAI
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin
2024 J jnl
Hypergraph Self-supervised Learning with Sampling-efficient Signals.
CoRR
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin
2024 A conf
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CIKM
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning.
CoRR
Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu
2024 A* conf
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning.
ICML
Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu
2024 — conf
NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization.
DASFAA (6)
Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng
2024 A* conf
Pre-trained Online Contrastive Learning for Insurance Fraud Detection.
AAAI
Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang
2024 J jnl
Predicting stock market trends with self-supervised learning.
Neurocomputing
Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
2024 J jnl
RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model.
Frontiers Comput. Sci.
Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang
2024 A* conf
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach.
IJCAI
Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng
2024 J jnl
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
CoRR
Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2024 — conf
Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection.
DASFAA (6)
Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang
2024 J jnl
TCGU: Data-centric Graph Unlearning based on Transferable Condensation.
CoRR
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin
2024 A* conf
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
ICML
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2024 J jnl
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
CoRR
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
2023 J jnl
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo
2023 J jnl
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II.
Reliab. Eng. Syst. Saf.
Dawei Cheng, Zhong Lu, Jia Zhou, Xihui Liang
2023 J jnl
Anti-Money Laundering by Group-Aware Deep Graph Learning.
IEEE Trans. Knowl. Data Eng.
Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang
2023 J jnl
CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model.
CoRR
Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang
2023 J jnl
CFGPT: Chinese Financial Assistant with Large Language Model.
CoRR
Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding, Changjun Jiang
2023 J jnl
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market.
CoRR
Jinyuan Wang, Hai Zhao, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng
2023 A* conf
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning.
AAAI
Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang
2023 J jnl
Delinquent Events Prediction in Temporal Networked-Guarantee Loans.
IEEE Trans. Neural Networks Learn. Syst.
Dawei Cheng, Zhibin Niu, Liqing Zhang
2023 A* conf
Efficient Continuous Space Policy Optimization for High-frequency Trading.
KDD
Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang
2023 J jnl
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs.
IEEE Trans. Knowl. Data Eng.
Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang
2023 A* conf
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.
IJCAI
Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang
2023 A conf
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
CIKM
Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2023 A* conf
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
EMNLP
Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
2023 J jnl
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
CoRR
Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
2023 A* conf
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network.
IJCAI
Junyi Liu, Dawei Cheng, Changjun Jiang
2023 J jnl
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning.
IEEE Trans. Knowl. Data Eng.
Dawei Cheng, Zhibin Niu, Jie Li, Changjun Jiang
2023 A* conf
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
AAAI
Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
2023 J jnl
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CoRR
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
2022 A* conf
Efficient Learning-based Community-Preserving Graph Generation.
ICDE
Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang
2022 A* conf
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract).
ICDE
Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang
2022 J jnl
Financial time series forecasting with multi-modality graph neural network.
Pattern Recognit.
Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu
2022 J jnl
General graph generators: experiments, analyses, and improvements.
VLDB J.
Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin
2022 J jnl
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention.
IEEE Trans. Knowl. Data Eng.
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
2022 — conf
Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs.
EITCE
Yingying Zhao, Haoyu Sun, Naiwang Guo, Yi Wu, Yingjie Tian, Dawei Cheng
2022 J jnl
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph.
IEEE ACM Trans. Audio Speech Lang. Process.
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou
2022 J jnl
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant.
Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
2022 — conf
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
DASFAA (3)
Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian
2022 A conf
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
CIKM
Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2022 J jnl
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.
Neurocomputing
Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
2022 J jnl
Span-reachability querying in large temporal graphs.
VLDB J.
Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang
2022 — conf
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
DASFAA (3)
Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian
2022 A conf
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CIKM
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
2021 A conf
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast.
CIKM
Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo
2021 J jnl
Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks.
CoRR
Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang
2021 — conf
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions.
DASFAA (2)
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
2020 A* conf
Contagious Chain Risk Rating for Networked-guarantee Loans.
KDD
Dawei Cheng, Zhibin Niu, Yiyi Zhang
2020 A* conf
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition.
AAAI
Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
2020 A* conf
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification.
IJCAI
Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
2020 A conf
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.
CIKM
Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou
2020 A* conf
Image Cropping with Composition and Saliency Aware Aesthetic Score Map.
AAAI
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang
2020 A* conf
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments.
SIGIR
Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang
2020 A* conf
Learning From Web Data With Self-Organizing Memory Module.
CVPR
Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang
2020 A* conf
Risk Guarantee Prediction in Networked-Loans.
IJCAI
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
2020 A* conf
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection.
AAAI
Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang
2020 B conf
VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery.
EDBT
Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang
2020 — conf
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans.
IEEE VAST@IEEE VIS
Zhibin Niu, Runlin Li, Junqi Wu, Dawei Cheng, Jiawan Zhang
2019 A conf
A Dynamic Default Prediction Framework for Networked-guarantee Loans.
CIKM
Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang
2019 — conf
AgriKG: An Agricultural Knowledge Graph and Its Applications.
DASFAA (3)
Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou
2019 J jnl
BHONEM: Binary High-Order Network Embedding Methods for Networked-Guarantee Loans.
J. Comput. Sci. Technol.
Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang
2019 J jnl
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition.
CoRR
Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
2019 J jnl
Image Cropping with Composition and Saliency Aware Aesthetic Score Map.
CoRR
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang
2019 J jnl
ProtoNet: Learning from Web Data with Memory.
CoRR
Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang
2019 A* conf
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation.
IJCAI
Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang
2019 J jnl
VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans.
CoRR
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Shunzhang Wang
2018 Misc conf
Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks.
ICASSP
Dawei Cheng, Ye Liu, Liqing Zhang
2018 Misc conf
Learning Temporal Relationships Between Financial Signals.
ICASSP
Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang
2018 C conf
Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing.
QRS
Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma
2018 J jnl
Modeling Similarities Among Multi-Dimensional Financial Time Series.
IEEE Access
Dawei Cheng, Ye Liu, Zhibin Niu, Liqing Zhang
2018 B conf
Prediction Defaults for Networked-guarantee Loans.
ICPR
Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang
2018 B conf
Visual Analytics for Networked-Guarantee Loans Risk Management.
PacificVis
Zhibin Niu, Dawei Cheng, Liqing Zhang, Jiawan Zhang
2017 J jnl
A hybrid approach for risk assessment of loan guarantee network.
CoRR
Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha
2017 J jnl
Visual analytics for loan guarantee network risk management.
CoRR
Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang
2016 — conf
Credit Card Fraud Detection Using Convolutional Neural Networks.
ICONIP (3)
Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang
2014 — conf
Learning Dynamic Models of Gaze Point Mapping from Eye Movement.
ICIMCS
Dawei Cheng, Mingyang An, Weiqian Yu, Liang Fang
2013 — conf
A cluster information navigate method by gaze tracking.
UIST (Adjunct Volume)
Dawei Cheng, Danqiong Li, Liang Fang
2013 — conf
A new collaborative sketching method on web browser.
APCHI
Dawei Cheng, Wenxi Zhu, Danqiong Li, Zhen Zhou