Dongjie Wang

According to our database, Dongjie Wang authored at least 48 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu

ACM Trans. Knowl. Discov. Data, May, 2024

Analysis of Position Measurement Accuracy of Boom-Type Roadheader Based on Binocular Vision.

Jiameng Cheng, Hai Jiang, Dongjie Wang, Weixiong Zheng, Yang Shen, Miao Wu

IEEE Trans. Instrum. Meas., 2024

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

Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu

CoRR, 2024

Feature Selection as Deep Sequential Generative Learning.

Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu

CoRR, 2024

2023

Reinforced Imitative Graph Learning for Mobile User Profiling.

Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes

IEEE Trans. Knowl. Data Eng., December, 2023

C²IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection.

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

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.

Dongjie Wang, Rui Li, Jiameng Cheng, Weixiong Zheng, Yang Shen, Sihai Zhao, Miao Wu

Axioms, October, 2023

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams.

Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu

IEEE Trans. Big Data, June, 2023

Interactive reinforced feature selection with traverse strategy.

Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

Knowl. Inf. Syst., May, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu

ACM Trans. Spatial Algorithms Syst., March, 2023

Automated urban planning aware spatial hierarchies and human instructions.

Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, Yanjie Fu

Knowl. Inf. Syst., March, 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.

Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin

ACM Trans. Intell. Syst. Technol., 2023

Dual-stage Flows-based Generative Modeling for Traceable Urban Planning.

Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, Yanjie Fu

CoRR, 2023

Feature Cognition Enhancement via Interaction-Aware Automated Transformation.

Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu

CoRR, 2023

Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis.

Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen

CoRR, 2023

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

Dongjie Wang, Chang-Tien Lu, Yanjie Fu

CoRR, 2023

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

Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen

CoRR, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.

Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

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

Ehtesamul Azim, Dongjie Wang, Yanjie Fu

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.

Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

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.

Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Incremental Causal Graph Learning for Online Root Cause Analysis.

Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen

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.

Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.

Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting.

Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.

Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu

CoRR, 2022

Self-Optimizing Feature Transformation.

Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou

CoRR, 2022

C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection.

Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li

CoRR, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.

Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie

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.

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin

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.

Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.

Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu

Frontiers Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.

Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

Frontiers Big Data, 2021

Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.

Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.

Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.

Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

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.

Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction.

Wei Zhou, Yan Yang, Yiling Zhang, Dongjie Wang, Xiaobo Zhang

Knowl. Based Syst., 2020

Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System.

Md. Hishamur Rahman, Shakil Mohammad Rifaat, Soumik Nafis Sadeek, Masnun Abrar, Dongjie Wang

CoRR, 2020

Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection.

Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

The Exergame Enjoyment Questionnaire (EEQ): An Instrument for Measuring Exergame Enjoyment.

Alexander Fitzgerald, Sam Huang, Kyle Sposato, Dongjie Wang, Mark Claypool, Emmanuel Agu

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning.

Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu

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.

Yiran Liu, Qingling Duan, Dongjie Wang, Zhentao Zhang, Chunhong Liu

Comput. Electron. Agric., 2019

Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images.

Dongjie Wang, Kun Yu, Chaolu Feng, Dazhe Zhao, Xin Min, Wei Li

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

2018

DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction.

Dongjie Wang, Yan Yang, Shangming Ning

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.

Renwei Liu, Dongjie Wang, Xinyu Zhang, Wang Li, Bo Yu

J. Appl. Math., 2013