STAFF PROFILE
Associate Professor Zhifeng Bao
Position:
Associate Professor
College / Portfolio:
School of Computing Technologies
School / Department:
Data Science
Phone:
99251940
Email:
zhifeng.bao@rmit.edu.au
Campus:
Melbourne 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
- Ding, X.,Zhou, W.,Sheng, S.,Bao, Z.,Choo, K.,Jin, H. (2020). Differentially private publication of streaming trajectory data In: Information Sciences, 538, 159 - 175
- Mo, S.,Bao, Z.,Zheng, B.,Peng, Z. (2020). FASTS: A Satisfaction-Boosting Bus Scheduling Assistant In: Proceedings of the 46th International Conference on Very Large Data Bases� (VLDB 2020), Tokyo, Japan, 31 August � 4 September 2020
- Xu, J.,Lu, H.,Bao, Z. (2020). IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects In: Proceedings of the 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, 31 August - 4 September 2020
- Lan, H.,Bao, Z.,Peng, Y. (2020). An Index Advisor Using Deep Reinforcement Learning In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, Dublin, Ireland, 19-23 Oct 2020
- Mo, S.,Bao, Z.,Zheng, B.,Peng, Z. (2020). Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters In: IEEE Transactions on Knowledge and Data Engineering, , 1 - 14
- Mo, S.,Bao, Z.,Zheng, B.,Peng, Z. (2020). Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction In: Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA) 2020, Jeju, South Korea, 24-27 September 2020
- Liu, S.,Liu, Q.,Bao, Z. (2020). DARS: Diversity and Distribution-Aware Region Search In: Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA) 2020, Jeju, South Korea, 24-27 September 2020
- Li, L.,Chen, X.,Liu, Q.,Bao, Z. (2020). A Data-Driven Approach for GPS Trajectory Data Cleaning In: Proceedings of International Conference on Database Systems for Advanced Applications (DASFAA) 2020, Jeju, South Korea, 24-27 September 2020
- Wang, X.,Xie, Y.,Xie, S.,Bao, Z.,Su, S. (2020). IMAS: An Intelligent Medical Analysis System Based on Concept Graph In: Proceedings of 39th International Conference on Conceptual Modeling (ER 2020), Vienna, Austria, 3-6 November 2020
- Alanazi, A.,Sanderson, M.,Bao, Z.,Kim, J. (2020). The Impact of Ad Quality and Position on Mobile SERPs In: CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, Vancouver BC, Canada, 13�14 August 2020
- 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 2022)
- 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
3 PhD Completions5 PhD Current Supervisions and 1 Masters by Research Current Supervisions
Database management, Keyword search over database, Spatial-textual data processing, Heterogeneous data usability, Social network analysis