STAFF PROFILE
Associate Professor Zhifeng Bao
Position:
Associate Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Computing Technologies
Phone:
+61399251940
Email:
zhifeng.bao@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision
Research Interests
Dr Zhifeng Bao is highly interested in how to make data usable to data consumers, and make the implementation of such usability module as efficient and generalized as possible. In particular, he has been playing actively in:
Improving the Usability of Heterogeneous Cross-domain Data
- (Semi-)Structured data: relational, XML, spatial
- Unstructured data: text string
- Social network data (is NOT just a graph): modelling, management and analysis
- High-dimensional data: image, video, time-series trajectory
Methodology:
- Keyword Search (fuzzy search, type-ahead search, geo-textual search, personalized search, real time search)
- Query Relaxation/Suggestion,
- Visualized data exploration and analysis
- Provenance Data Storage and Tracking
Awards
- Singapore Infocomm Development Authority Medal and Prize - Best PhD Thesis Award of Class of 2011 (The only Winner)
Research: Faculty member of RMIT-NICTA Data Analytics Lab
Teaching: Coordinator of COSC1169: Intranet and Internet Data Engineering
Administration: Staff Representative of the International Committee of School of CSIT
PhD, computer science, National University of Singapore, 2011
- Mo, S.,Bao, Z.,Zhang, P.,Peng, Z. (2021). Towards an Efficient Weighted Random Walk Domination In: Proceedings of the 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, 16-20 August 2021
- Wang, S.,Bao, Z.,Culpepper, S.,Cong, G. (2021). A Survey on Trajectory Data Management, Analytics, and Learning In: ACM Computing Surveys, 54, 1 - 36
- Yadamjav, M.,Choudhury, F.,Bao, Z.,Zheng, B. (2021). Time Period-Based Top-k Semantic Trajectory Pattern Query In: Database Systems for Advanced Applications - 26th International Conference (DASFAA 2021), Online, 11-14 April 2021
- Yuan, H.,Li, G.,Bao, Z.,Feng, L. (2021). An effective joint prediction model for travel demands and traffic flows In: Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE 2021), Chania, Greece, 19-22 April 2021
- Huang, S.,Li, Y.,Bao, Z.,Li, Z. (2021). Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach In: Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE 2021), Chania, Greece, 19-22 April 2021
- Wang, S.,Sun, Y.,Musco, C.,Bao, Z. (2021). Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand In: Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), Xi'an, China, 20-25 June 2021
- Zhang, Y.,Li, Y.,Bao, Z.,Zheng, B.,Jagadish, H. (2021). Minimizing the Regret of an Influence Provider In: Proceedings of the 2021 International Conference on Management of Data (SIGMOD 2021), Xi'an, China, 20-25 June 2021
- Wang, X.,Luo, F.,Wu, Q.,Bao, Z. (2021). (In Press) How Context or Knowledge Can Benefit Healthcare Question Answering In: IEEE Transactions on Knowledge and Data Engineering, , 1 - 14
- Xu, J.,Bao, Z.,Lu, H. (2021). (In Press) A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories In: IEEE Transactions on Knowledge and Data Engineering, , 1 - 15
- Chen, Y.,Li, X.,Cong, G.,Bao, Z.,Long, C.,Liu, Y.,Chandran, A.,Ellison, R. (2021). Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, 1-5 November 2021
- Next-generation Intelligent Explorations of Geo-located Data (externally led by Swinburne University of Technology). Funded by: ARC Discovery Projects via other university 2020 from (2020 to 2023)
- Towards a Personalised Visual Exploration on Structured Data. Funded by: Google Faculty Research Award 2016 onwards from (2019 to 2025)
- Data61 PhD Scholarship - Influence Maximization for Facility Deployment in Urban Computing (PhD Student: Yipeng Zhang). Funded by: Data61 PhD Scholarship from (2018 to 2022)
- Continuous intent tracking for virtual assistance using big contextual data (administered by University of Melbourne). Funded by: ARC Discovery Project via Other University from (2018 to 2021)
- Continuous and summarised search over evolving heterogeneous data. Funded by: 010-ARC Discovery Projects 2017 from (2017 to 2019)
Note: Supervision projects since 2004
4 PhD Current Supervisions and 1 Masters by Research Current Supervisions6 PhD Completions
Database management, Keyword search over database, Spatial-textual data processing, Heterogeneous data usability, Social network analysis