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Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang: Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024)
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: 109257 (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): 193:1-193:19 (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): 1460-1472 (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): 6278-6289 (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): 12444-12457 (2023)
Dawei Cheng, Zhibin Niu, Liqing Zhang: Delinquent Events Prediction in Temporal Networked-Guarantee Loans. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1692-1704 (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: 14205-14213
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: 14557-14565
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: 3828-3832
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: 15663-15676
Junyi Liu, Dawei Cheng, Changjun Jiang: Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. IJCAI 2023: 6085-6093
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: 6138-6146
Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang: Efficient Continuous Space Policy Optimization for High-frequency Trading. KDD 2023: 4112-4122
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang: Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CoRR abs/2305.08740 (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 abs/2309.04389 (2023)
Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding, Changjun Jiang: CFGPT: Chinese Financial Assistant with Large Language Model. CoRR abs/2309.10654 (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 abs/2311.05812 (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 abs/2311.06761 (2023)
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: 33-42 (2022)
Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu: Financial time series forecasting with multi-modality graph neural network. Pattern Recognit. 121: 108218 (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: 979-991 (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): 3800-3813 (2022)
Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang: Span-reachability querying in large temporal graphs. VLDB J. 31(4): 629-647 (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): 897-925 (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: 100722 (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: 406-415
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang: Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CIKM 2022: 3584-3593
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: 306-313
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: 455-467
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: 707-711
Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang: Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). ICDE 2022: 1547-1548
Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang: Efficient Learning-based Community-Preserving Graph Generation. ICDE 2022: 1982-1994
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: 3298-3302
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: 603-611
Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang: Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks. CoRR abs/2104.11863 (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: 362-369
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang: Image Cropping with Composition and Saliency Aware Aesthetic Score Map. AAAI 2020: 12104-12111
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: 12918-12925
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: 2413-2420
Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang: Learning From Web Data With Self-Organizing Memory Module. CVPR 2020: 12843-12852
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: 579-582
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: 84-94
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Risk Guarantee Prediction in Networked-Loans. IJCAI 2020: 4483-4489
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: 4490-4496
Dawei Cheng, Zhibin Niu, Yiyi Zhang: Contagious Chain Risk Rating for Networked-guarantee Loans. KDD 2020: 2715-2723
Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. SIGIR 2020: 2221-2230
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): 657-669 (2019)
Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang: A Dynamic Default Prediction Framework for Networked-guarantee Loans. CIKM 2019: 2547-2555
Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou: AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) 2019: 533-537
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: 5822-5828
Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang: ProtoNet: Learning from Web Data with Memory. CoRR abs/1906.12028 (2019)
Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang: Image Cropping with Composition and Saliency Aware Aesthetic Score Map. CoRR abs/1911.10492 (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 abs/1912.00308 (2019)
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Shunzhang Wang: VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans. CoRR abs/1912.12383 (2019)
Dawei Cheng, Ye Liu, Zhibin Niu, Liqing Zhang: Modeling Similarities Among Multi-Dimensional Financial Time Series. IEEE Access 6: 43404-43413 (2018)
Zhibin Niu, Dawei Cheng, Liqing Zhang, Jiawan Zhang: Visual Analytics for Networked-Guarantee Loans Risk Management. PacificVis 2018: 160-169
Dawei Cheng, Ye Liu, Liqing Zhang: Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks. ICASSP 2018: 2561-2565
Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang: Learning Temporal Relationships Between Financial Signals. ICASSP 2018: 2641-2645
Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang: Prediction Defaults for Networked-guarantee Loans. ICPR 2018: 361-366
Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma: Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. QRS 2018: 313-324
Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha: A hybrid approach for risk assessment of loan guarantee network. CoRR abs/1702.04642 (2017)
Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang: Visual analytics for loan guarantee network risk management. CoRR abs/1705.02937 (2017)
Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang: Credit Card Fraud Detection Using Convolutional Neural Networks. ICONIP (3) 2016: 483-490
Dawei Cheng, Mingyang An, Weiqian Yu, Liang Fang: Learning Dynamic Models of Gaze Point Mapping from Eye Movement. ICIMCS 2014: 289
Dawei Cheng, Wenxi Zhu, Danqiong Li, Zhen Zhou: A new collaborative sketching method on web browser. APCHI 2013: 286-290
Dawei Cheng, Danqiong Li, Liang Fang: A cluster information navigate method by gaze tracking. UIST (Adjunct Volume) 2013: 61-62
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