Dongjie Wang

Orcid: 0000-0003-3948-0059

According to our database1, Dongjie Wang authored at least 66 papers between 2013 and 2024.

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Bibliography

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

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

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis.
CoRR, 2024

RATT: A Thought Structure for Coherent and Correct LLM Reasoning.
CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR, 2024

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.
CoRR, 2024

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.
CoRR, 2024

Feature Selection as Deep Sequential Generative Learning.
CoRR, 2024

Exploring the immune characteristions of CRKP pneumonia at single-cell level.
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

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Feature Interaction Aware Automated Data Representation Transformation.
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

HyWE: A Hybrid Word Embedding Method for Smart Contract Vulnerability Detection.
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

Reinforcement Feature Transformation for Polymer Property Performance Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Tabular Data-centric AI: Challenges, Techniques and Future Perspectives.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DCAI: The 4th International Workshop on Data-Centric AI.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Reinforced Imitative Graph Learning for Mobile User Profiling.
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

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams.
IEEE Trans. Big Data, June, 2023

Interactive reinforced feature selection with traverse strategy.
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

Automated urban planning aware spatial hierarchies and human instructions.
Knowl. Inf. Syst., March, 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.
ACM Trans. Intell. Syst. Technol., 2023

Feature Cognition Enhancement via Interaction-Aware Automated Transformation.
CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.
CoRR, 2023

Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning.
CoRR, 2023

Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization.
CoRR, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Deep Graph Stream SVDD: Anomaly Detection in Cyber-Physical Systems.
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

Interdependent Causal Networks for Root Cause Localization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.
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

Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning.
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

Self-Optimizing Feature Transformation.
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

Multi-scale Progressive Gated Transformer for Physiological Signal Classification.
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

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.
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
Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction.
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

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.
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
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction.
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


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