Dawei Cheng
Orcid: 0000-0002-5877-7387
According to our database1,
Dawei Cheng
authored at least 68 papers
between 2013 and 2024.
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Bibliography
2024
Neurocomputing, February, 2024
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.
CoRR, 2024
CoRR, 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II.
Reliab. Eng. Syst. Saf., August, 2023
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning.
IEEE Trans. Knowl. Data Eng., June, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
IEEE Trans. Knowl. Data Eng., 2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023
CoRR, 2023
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant., 2022
IEEE Trans. Knowl. Data Eng., 2022
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Pattern Recognit., 2022
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network.
Neurocomputing, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
Proceedings of the Database Systems for Advanced Applications, 2022
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
CoRR, 2021
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions.
Proceedings of the Database Systems for Advanced Applications, 2021
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans.
Proceedings of the 15th IEEE Conference on Visual Analytics Science and Technology, 2020
VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
J. Comput. Sci. Technol., 2019
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
IEEE Access, 2018
Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing.
Proceedings of the 2018 IEEE International Conference on Software Quality, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the IEEE Pacific Visualization Symposium, 2018
2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2014
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2014
2013
Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology, 2013
Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction, 2013