Dr. Jia Wu

Room 2.407, 7 Wally’s Walk, Macquarie University
Phone: +61 2 9850 4445
gavin.brennen@mq.edu.au

  • Data Mining
  • Real-Time Data Analysis
  • Signal Data Processing
  • Data Mining
  • Machine Learning
  • Human-Machine Communication

Dr Jia Wu is the Research Director for the AI-enabled Processes (AIP) Research Centre at Macquarie University. He is the Associate Editor of the ACM Transactions on Knowledge Discovery from Data (TKDD), a top data mining journal. He is an ARC DECRA Fellow, Senior Lecturer (Associate Professor in North America) in the School of Computing at Macquarie University. He is the Director of HDR (Higher Degree Research). He was awarded Heidelberg Laureate Forum Fellowship from the Australian Academy of Science in 2019.

Dr Wu received his Ph.D. degree in Computer Science from the University of Technology Sydney, Australia. Since 2009, he has published 100+ refereed journal and conference papers, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), International Joint Conference on Artificial Intelligence (IJCAI), AAAI Conference on Artificial Intelligence (AAAI), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), IEEE International Conference on Data Mining (ICDM), The Web Conference (WWW), and Neural Information Processing Systems (NeurIPS).

Dr Wu has been serving as the Programme Committee Chair/Contest Chair/Publicity Chair/(Senior) Programme Committees for the prestigious data mining and artificial intelligence conferences for over 10 years, such as KDD, ICDM, WSDM, IJCAI, AAAI, WWW, NIPS, CIKM, SDM, etc. His research team was the recipient of ICDM’21 Best Student Paper Award, SDM’18 Best Paper Award in Data Science Track, IJCNN’17 Best Student Paper Award, and ICDM’14 Best Paper Candidate Award. He is also the Associate Editor of Neural Networks. Dr Wu is a Senior Member of the IEEE.

  • Data Mining
  • Real-Time Data Analysis
  • Signal Data Processing
  • Data Mining
  • Machine Learning
  • Human-Machine Communication
  • Graph/Network Mining
  • Graph Neural Networks
  • Artificial Intelligence of Things for Resilient and Sustainable Smart Cities
  • Early Prediction in Large-scale Time-variant Information Networks
  • Intelligent Data Science Pipelines
  1. Sun, S. Xue, H.Wu, J. Wu: A Data Stream Cleaning System Using Edge Intelligence for Smart City Industrial Environments. IEEE Trans. Ind. Informatics 18(2): 1165-1174 (2022)
  2. Chen, J. Li, J. Wu, J. Chang, Y. Xiao, X. Wang: Drift-Proof Tracking With Deep Reinforcement Learning. IEEE Trans. Multim. 24: 609-624 (2022)
  3. Li, X. Fu, Q. Sun, C. Ji, J.Tan, J. Wu, H. Peng: Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537
  4. Xia, S. Xue, J. Wu, Ya. Chen, J.Chen, L. Wu: Deep Reinforcement Learning for Smart City Communication Networks. IEEE Trans. Ind. Informatics 17(6): 4188-4196 (2021)
  5. Sun, J. Wu, J. Yang, H. Wu: Intelligent Data Collaboration in Heterogeneous-device IoT Platforms. ACM Trans. Sens. Networks 17(3): 22:1-22:17 (2021)

 

Full publication list available at: https://researchers.mq.edu.au/en/persons/jia-wu