STAFF PROFILE
Associate Professor Zhifeng Bao
Position:
Associate Professor
College / Portfolio:
School of Science Cluster
School / Department:
Computer Science and Information Tech
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
- Wang, S.,Bao, Z.,Culpepper, S.,Sellis, T.,Qin, X. (2020). Fast Large-Scale Trajectory Clustering In: Proceedings of the VLDB Endowment, ,
- Luo, H.,Bao, Z.,Choudhury, F.,Culpepper, S. (2020). (In Press) Dynamic Ridesharing in Peak Travel Periods In: IEEE Transactions on Knowledge and Data Engineering, , 1 - 14
- Sun, J.,Shang, Z.,Li, G.,Deng, D.,Bao, Z. (2019). Balance-Aware Distributed String Similarity-Based Query Processing System In: Proceedings of the VLDB Endowment, Los Angeles, United States, 26-30 August 2019
- Zhang, Y.,Bao, Z.,Mo, S.,Li, Y.,Zhou, Y. (2019). ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant In: Proceedings of the VLDB Endowment, Los Angeles, United States, 26-30 August 2019
- Huang, S.,Bao, Z.,Culpepper, S.,Zhang, B. (2019). Finding Temporal Influential Users Over Evolving Social Networks In: Proceedings - International Conference on Data Engineering 2019, Macao, China, April 8-11, 2019
- Xu, J.,Bao, Z.,Lu, H. (2019). Continuous Range Queries Over Multi-attribute Trajectories In: 35th IEEE International Conference on Data Engineering, Macau, China, April 8-11, 2019
- Zhang, Y.,Li, Y.,Bao, Z.,Mo, S.,Zhang, P. (2019). Optimizing Impression Counts for Outdoor Advertising In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, AK, USA, August 04 - 08, 2019
- Wang, X.,Wang, R.,Bao, Z.,Liang, J.,Lu, W. (2019). Effective Medical Archives Processing Using Knowledge Graphs In: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21 - 25 July 2019
- P.V.S., A.,Ren, Y.,Meyer, C.,Chan, J.,Bao, Z.,Sanderson, M. (2019). J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation In: Proceedings of the 16th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019), W�rzburg, Germany, 16-20 September 2019
- Yadamjav, M.,Bao, Z.,Choudhury, F.,Samet, H.,Zheng, B. (2019). Querying Continuous Recurrent Convoys of Interest In: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2019), Chicago, United States, 5-8 November 2019
- Towards a Personalised Visual Exploration on Structured Data. Funded by: Google Faculty Research Award 2016 onwards from (2019 to 2023)
- 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 2020)
- Continuous and summarised search over evolving heterogeneous data. Funded by: 010-ARC Discovery Projects 2017 from (2017 to 2019)
- Personalized search over the streaming social media data. Funded by: Google Faculty Research Awards Round 2 Grant 2015 from (2016 to 2021)
Note: Supervision projects since 2004
2 PhD Completions6 PhD Current Supervisions
Database management, Keyword search over database, Spatial-textual data processing, Heterogeneous data usability, Social network analysis