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Short Biography

Dongjie Wang is pursuing a doctorate in computer science at the University of Central Florida. In 2019, he earned a Master of Science in Software Engineering from Southwest Jiaotong University, and in 2016, he earned a Bachelor of Science in Computer Science from Sichuan University.

His research interests involve spatial-temporal data mining, user profiling, outlier detection, root cause analysis, and network representation learning.

During his Ph.D. summer vacations, he interned at NEC Labs America and the JD.COM Silicon Valley Research Center.

News

  • [07/31/2022] I was honored to be a PC member of the AAAI 2023 conference.
  • [06/24/2022] I was honored to be a PC member of the WSDM 2023 conference.
  • [05/18/2022] Congratulations! The KDD 2022 conference has accepted my paper.
  • [05/13/2022] I was honored to be a PC member of the CIKM 2022 conference.
  • [05/09/2022] I will start my research internship at NEC Laboratories America this summer.
  • [05/03/2022] I was honored to receive the Doctoral Research Support Award from the UCF College of Graduate Studies.

Research

Conference Publications

  • 1. [KDD] Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin. Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. The 28-th ACM SIGKDD Conference, 2022 [Paper]
  • 2. [AAAI] Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles Hughes, Yanjie Fu. Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI2021), 2021. [Paper]
  • 3. [WWW] Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, and Xing Xie. Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. The Web Conference 2022, 2022 [Paper]
  • 4. [IJCNN] Dongjie Wang, Yan Yang, Shangming Ning. DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction. Proceedings of 2018 International Joint Conference on Neural Networks (IJCNN2018), 2018. [Paper]
  • 5. [ICDM] Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu. Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection. The 20th IEEE International Conference on Data Mining (ICDM2020), 2020. [Paper]
  • 6. [SIGSPATIAL] Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang and Chang-Tien Lu. Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL2020), 2020. [Paper]
  • 7. [ICDM] Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, and Yanjie Fu. Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. The 21th IEEE International Conference on Data Mining (ICDM2021), 2021. [Paper]
  • 8. [ICDM] Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu. Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. The 21th IEEE International Conference on Data Mining (ICDM2021), 2021. [Paper]
  • 9. [SIGSPATIAL] Dongjie Wang, Pengyang Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, and Yanjie Fu. Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL2021), 2021. [Paper]
  • 10. [ICDE Reviewing] Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, and Haifeng Chen. Causal Discovery and Root Cause Localization on Interdependent Networks. The 39-th IEEE International Conference on Data Engineering, 2022 [Paper]
  • 11. [ACML] Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang. Multi-scale Progressive Gated Transformer for Physiological Signal Classification. The 14th Asian Conference on Machine Learning, 2022 [Paper]

Journal Publications

  • 1. [KBS] Wei Zhou, Yan Yang, Yiling Zhang, Dongjie Wang, Xiaobo Zhang. Deep Flexible Structured Spatial-Temporal Model for Taxi Capacity Prediction. Knowledge-Based Systems (KBS2020), 2020. [Paper]
  • 2. [Frontiers] Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu. Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers in Big Data 2021. [Paper]
  • 3. [Frontiers] Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu. Towards Semantically-rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers in Big Data 2021. [Paper]
  • 4. [TSAS] Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu. Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Transactions on Spatial Algorithms and System 2022. [Paper]
  • 5. [TBD] Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu. Online POI Recommendation Learning Dynamic Geo-Human Interactions in Streams. IEEE Transactions on Big Data 2022. [Paper]

Journal Under Review

  • 1. [TKDE] Dongjie Wang, Yanjie Fu, Pengyang Wang, Kunpeng Liu, Hui Xiong, Charles Hughes. Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Transactions on Knowledge on Data Mining [Paper]
  • 2. [TOIS] Kunpeng Liu, Dongjie Wang, Yan Solihin, Hui Xiong, Yanjie Fu. Automated Feature Generation: A Hierarchical Generative Perspective. ACM Transactions on Information Systems [Paper]
  • 3. [KAIS] Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, and Yanjie Fu. Deep Human-instructed Generative Learning aware Spatial Hierarchies for Automated Urban Planning. Knowledge and Information Systems [Paper]
  • 4. [TKDE] Dongjie Wang, Meng Xiao, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong and Yuanchun Zhou. Self-Optimizing Feature Transformation IEEE Transactions on Knowledge and Data Engineering [Paper]
  • 5. [TKDE] Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, and Tianrui Li. C2IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering [Paper]
  • 6. [Frontiers] Fanglan Chen, Dongjie Wang, Shuo Lei, Jianfeng He, Yanjie Fu, and Chang-Tien Lu. Adaptive Graph Convolutional Imputation Network for Environmental Sensor Data Recovery. Frontiers in Environmental Science [Paper]
  • 7. [TIST] Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin. Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Transactions on Intelligent Systems and Technology [Paper]
  • 8. [KAIS] Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu. Interactive Reinforced Feature Selection with Traverse Strategy. Knowledge and Information Systems [Paper]

Experience

  • 1. Jun. 2018 - Aug. 2018 Algorithm Engineer Intern, DiDi, Platform Technology Department
  • 2. Aug. 2018 - Dec. 2018 Research Intern, JD, Urban Computing Research Institute
  • 3. Jul. 2019 - Dec. 2019 Recommendation Algorithm Engineer, Joyy Inc, Recommendation Algorithm Center
  • 4. May. 2021 - Aug. 2021 Research Intern, JD, USA, JD Group Silicon Valley Research Center
  • 5. May. 2022 - Aug. 2022 Research Intern, NEC, USA, NEC Laboratories America

Teaching

  • 1. Aug. 2020 - Dec. 2020 Teaching Assistant, University of Central Florida, CAP5610 Machine Learning
  • 2. Jan. 2021 - May. 2021 Teaching Assistant, University of Central Florida, CAP5610 Machine Learning

Service

1. Program Committee Member: The International Joint Conference on Artificial Intelligence (IJCAI) 2021, 2022

2. Program Committee Member: Knowledge-Based Systems (KBS)

3. Program Committee Member: The Conference on Information and Knowledge Management (CIKM) 2022

4. Program Committee Member: The ACM Web Search and Data Mining Conference (WSDM) 2023

4. Program Committee Member: AAAI Conference on Artificial Intelligence (AAAI) 2023

Awards

  • Student Travel Award, ACM SIGKDD, 2022.06
  • UCF Doctoral Research Support Award, 2022.05
  • IEEE ICDM 2021 Best Paper Runner Up Award, 2021.10
  • ACM SIGSPATIAL 2020 Best Paper Runner Up Award, 2020.08
  • Dell EMC Mars Data Challenge Hackathon (Chengdu, China): Second Place, 2018.01
  • Alibaba Tianchi Big Data - UAV Rounte Optimization and Planning Competition (9th/1646 teams), 2017.10

Education

  • 1. 2020 - Present, Ph.D., Computer Science, University of Central Florida, USA
  • 2. 2016 - 2019, Master, Software Engineering, Southwest Jiaotong University, China
  • 3. 2012 - 2016, Bachelor, Computer Science, Sichuan University, China