Dongjie Wang
Orcid: 0000-0003-3948-0059
According to our database1,
Dongjie Wang
authored at least 85 papers
between 2013 and 2025.
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Bibliography
2025
Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems.
CoRR, August, 2025
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures.
CoRR, July, 2025
Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity.
CoRR, July, 2025
CoRR, June, 2025
Multiobjective Optimization Design of a Two-Stage High-Speed on/off Valve Based on the Electric Eel Foraging Optimization Algorithm.
IEEE Trans. Ind. Electron., May, 2025
Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning.
CoRR, May, 2025
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search.
CoRR, May, 2025
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.
ACM Trans. Intell. Syst. Technol., April, 2025
Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.
CoRR, April, 2025
CoRR, April, 2025
A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.
CoRR, February, 2025
CoRR, January, 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.
CoRR, January, 2025
Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement Learning.
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
ACM Trans. Knowl. Discov. Data, November, 2024
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024
Analysis of Position Measurement Accuracy of Boom-Type Roadheader Based on Binocular Vision.
IEEE Trans. Instrum. Meas., 2024
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection.
CoRR, 2024
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection.
CoRR, 2024
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization.
CoRR, 2024
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Comput. Biol. Medicine, 2024
SCVD-SA: A Smart Contract Vulnerability Detection Method Based on Hybrid Deep Learning Model and Self-attention Mechanism.
Proceedings of the IEEE International Conference on Software Analysis, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
C<sup>2</sup>IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.
IEEE Trans. Knowl. Data Eng., October, 2023
Research on the Calculation Model and Control Method of Initial Supporting Force for Temporary Support in the Underground Excavation Roadway of Coal Mine.
Axioms, October, 2023
IEEE Trans. Big Data, June, 2023
Knowl. Inf. Syst., May, 2023
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst., March, 2023
Knowl. Inf. Syst., March, 2023
ACM Trans. Intell. Syst. Technol., 2023
CoRR, 2023
CoRR, 2023
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning.
CoRR, 2023
CoRR, 2023
VDABSys: A Novel Security-Testing Framework for Blockchain Systems Based on Vulnerability detection.
Proceedings of the Security and Privacy in Communication Networks, 2023
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.
Proceedings of the IEEE International Conference on Data Mining, 2023
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR, 2022
C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.
CoRR, 2022
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
2021
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.
Frontiers Big Data, 2021
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.
Frontiers Big Data, 2021
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Knowl. Based Syst., 2020
Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System.
CoRR, 2020
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
The Exergame Enjoyment Questionnaire (EEQ): An Instrument for Measuring Exergame Enjoyment.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2019
Prediction for hog prices based on similar sub-series search and support vector regression.
Comput. Electron. Agric., 2019
Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2013
Comparison Study on the Performances of Finite Volume Method and Finite Difference Method.
J. Appl. Math., 2013