Dawei Cheng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 74

Top Topics

Graph Representation

Risk Management

Fraud Detection

Top Venues

Publications

Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
Graph Lottery Ticket Automated. ICLR (2024)
Jinyuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. DEXA (1) (2024)
Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning. CoRR (2024)
Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang
RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model. Frontiers Comput. Sci. 18 (5) (2024)
Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao
Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP (2024)
Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. CoRR (2024)
Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR (2024)
Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin
Hypergraph Self-supervised Learning with Sampling-efficient Signals. CoRR (2024)
Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
Predicting stock market trends with self-supervised learning. Neurocomputing 568 (2024)
Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. CoRR (2024)
Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang
Pre-trained Online Contrastive Learning for Insurance Fraud Detection. AAAI (2024)
Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang
Efficient Continuous Space Policy Optimization for High-frequency Trading. KDD (2023)
Dawei Cheng, Zhibin Niu, Liqing Zhang
Delinquent Events Prediction in Temporal Networked-Guarantee Loans. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CoRR (2023)
Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR (2023)
Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding, Changjun Jiang
CFGPT: Chinese Financial Assistant with Large Language Model. CoRR (2023)
Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang
Anti-Money Laundering by Group-Aware Deep Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. IJCAI (2023)
Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP (2023)
Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Dawei Cheng, Zhong Lu, Jia Zhou, Xihui Liang
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II. Reliab. Eng. Syst. Saf. 236 (2023)
Dawei Cheng, Zhibin Niu, Jie Li, Changjun Jiang
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning. AAAI (2023)
Jinyuan Wang, Hai Zhao, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. CoRR (2023)
Junyi Liu, Dawei Cheng, Changjun Jiang
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. IJCAI (2023)
Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM (2023)
Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. AAAI (2023)
Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang
CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model. CoRR (2023)
Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (7) (2023)
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CIKM (2022)
Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang
Efficient Learning-based Community-Preserving Graph Generation. ICDE (2022)
Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang
Span-reachability querying in large temporal graphs. VLDB J. 31 (4) (2022)
Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). ICDE (2022)
Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. CIKM (2022)
Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu
Financial time series forecasting with multi-modality graph neural network. Pattern Recognit. 121 (2022)
Yingying Zhao, Haoyu Sun, Naiwang Guo, Yi Wu, Yingjie Tian, Dawei Cheng
Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs. EITCE (2022)
Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. Neurocomputing 494 (2022)
Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) (2022)
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) (2022)
Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin
General graph generators: experiments, analyses, and improvements. VLDB J. 31 (5) (2022)
Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. J. Web Semant. 74 (2022)
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang
Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks. CoRR (2021)
Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. CIKM (2021)
Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions. DASFAA (2) (2021)
Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. AAAI (2020)
Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang
Learning From Web Data With Self-Organizing Memory Module. CVPR (2020)
Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. AAAI (2020)
Zhibin Niu, Runlin Li, Junqi Wu, Dawei Cheng, Jiawan Zhang
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans. IEEE VAST@IEEE VIS (2020)
Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. IJCAI (2020)
Dawei Cheng, Zhibin Niu, Yiyi Zhang
Contagious Chain Risk Rating for Networked-guarantee Loans. KDD (2020)
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
Risk Guarantee Prediction in Networked-Loans. IJCAI (2020)
Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang
VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. EDBT (2020)
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. AAAI (2020)
Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. SIGIR (2020)
Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. CIKM (2020)
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. CoRR (2019)
Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang
A Dynamic Default Prediction Framework for Networked-guarantee Loans. CIKM (2019)
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Shunzhang Wang
VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans. CoRR (2019)
Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou
AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) (2019)
Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. CoRR (2019)
Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. IJCAI (2019)
Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang
ProtoNet: Learning from Web Data with Memory. CoRR (2019)
Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang
BHONEM: Binary High-Order Network Embedding Methods for Networked-Guarantee Loans. J. Comput. Sci. Technol. 34 (3) (2019)
Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang
Learning Temporal Relationships Between Financial Signals. ICASSP (2018)
Dawei Cheng, Ye Liu, Zhibin Niu, Liqing Zhang
Modeling Similarities Among Multi-Dimensional Financial Time Series. IEEE Access 6 (2018)
Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang
Prediction Defaults for Networked-guarantee Loans. ICPR (2018)
Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma
Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. QRS (2018)
Dawei Cheng, Ye Liu, Liqing Zhang
Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks. ICASSP (2018)
Zhibin Niu, Dawei Cheng, Liqing Zhang, Jiawan Zhang
Visual Analytics for Networked-Guarantee Loans Risk Management. PacificVis (2018)
Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha
A hybrid approach for risk assessment of loan guarantee network. CoRR (2017)
Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang
Visual analytics for loan guarantee network risk management. CoRR (2017)
Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang
Credit Card Fraud Detection Using Convolutional Neural Networks. ICONIP (3) (2016)
Dawei Cheng, Mingyang An, Weiqian Yu, Liang Fang
Learning Dynamic Models of Gaze Point Mapping from Eye Movement. ICIMCS (2014)
Dawei Cheng, Wenxi Zhu, Danqiong Li, Zhen Zhou
A new collaborative sketching method on web browser. APCHI (2013)
Dawei Cheng, Danqiong Li, Liang Fang
A cluster information navigate method by gaze tracking. UIST (Adjunct Volume) (2013)