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
- 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
- Huang, J.,Hu, W.,Bao, Z.,Qu, Y. (2020). Crowdsourced Collective Entity Resolution with Relational Match Propagation In: Proceedings of the IEEE 36th International Conference on Data Engineering (ICDE 2020), Dallas, United States, 20-24 April 2020
- Huang, S.,Bao, Z.,Li, G.,Zhou, Y.,Culpepper, S. (2020). Temporal Network Representation Learning via Historical Neighborhoods Aggregation In: Proceedings of the IEEE 36th International Conference on Data Engineering (ICDE 2020), Dallas, United States, 20-24 April 2020
- Liu, Y.,Zhao, K.,Cong, G.,Bao, Z. (2020). Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling In: Proceedings of the IEEE 36th International Conference on Data Engineering (ICDE 2020), Dallas, United States, 20-24 April 2020
- Luo, F.,Wang, X.,Wu, Q.,Liang, J.,Qiu, X.,Bao, Z. (2020). HQADeepHelper: A Deep Learning System for Healthcare Question Answering In: Proceedings of the Web Conference 2020 (WWW'20), Taipei, Taiwan, 20-24 April 2020
- Zhang, P.,Bao, Z.,Li, Y.,Li, G.,Zhang, Y.,Peng, Z. (2020). Towards an Optimal Outdoor Advertising Placement: When a Budget Constraint Meets Moving Trajectories In: ACM Transactions on Knowledge Discovery from Data, 14, 1 - 32
- Tedjopurnomo, D.,Bao, Z.,Zheng, B.,Choudhury, F.,Qin, K. (2020). A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges In: IEEE Transactions on Knowledge and Data Engineering, 14, 1 - 20
- Luo, H.,Zhou, J.,Bao, Z.,Li, S.,Culpepper, S.,Ying, H.,Liu, H.,Xiong, H. (2020). Spatial Object Recommendation with Hints: When Spatial Granularity Matters In: Proceedings of the 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 July 2020
- Yadamjav, M.,Bao, Z.,Zheng, B.,Choudhury, F.,Samet, H. (2020). Querying Recurrent Convoys over Trajectory Data In: ACM Transactions on Intelligent Systems and Technology, 11, 1 - 24
- Song, L.,Gan, J.,Bao, Z.,Ruan, B.,Jagadish, H.,Sellis, T. (2020). Incremental preference adjustment: a graph-theoretical approach In: The VLDB Journal, , 1 - 26
- 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 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)
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