Professor

Zhifeng Bao

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+61 7 344 38734

Availability

Professor Zhifeng Bao is:
Available for supervision

Search Professor Zhifeng Bao’s works on UQ eSpace

86 works between 2012 and 2026
All (86) Journal Article (53) Conference Publication (33)

21 - 40 of 86 works

2025

Conference Publication

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

Zhao, Zhuowei, Gan, Junhao, Ruan, Boyu, Bao, Zhifeng, Qi, Jianzhong and Wang, Sibo (2025). Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3711896.3736918

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

2025

Journal Article

S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework

Chen, Minxiao, Yuan, Haitao, Jiang, Nan, Zheng, Zhihan, Bao, Zhifeng, Zhou, Ao, Jiang, Jiaxin and Wang, Shangguang (2025). S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework. IEEE Transactions on Knowledge and Data Engineering, 37 (7), 4285-4298. doi: 10.1109/TKDE.2025.3557864

S-MGHSTN: Towards An Effective Streaming Traffic Accident Risk Prediction Framework

2025

Conference Publication

Distinctiveness Maximization in Datasets Assemblage

Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan and Arablouei, Reza (2025). Distinctiveness Maximization in Datasets Assemblage. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3696410.3714830

Distinctiveness Maximization in Datasets Assemblage

2025

Journal Article

Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics

Chen, Yile, Li, Xiucheng, Cong, Gao, Bao, Zhifeng and Long, Cheng (2025). Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE Transactions on Mobile Computing, 24 (10), 9413-9427. doi: 10.1109/TMC.2025.3562656

Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics

2024

Journal Article

From a Timeline Contact Graph to Close Contact Tracing and Infection Diffusion Intervention

Zhang, Yipeng, Bao, Zhifeng, Li, Yuchen, Zheng, Baihua and Wang, Xiaoli (2024). From a Timeline Contact Graph to Close Contact Tracing and Infection Diffusion Intervention. IEEE Transactions on Knowledge and Data Engineering, 36 (12), 8328-8340. doi: 10.1109/tkde.2024.3423476

From a Timeline Contact Graph to Close Contact Tracing and Infection Diffusion Intervention

2024

Journal Article

Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach

Yi, Peiyu, Bao, Zhifeng, Huang, Feihu, Wang, Jince, Peng, Jian and Zhang, Linghao (2024). Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. IEEE Transactions on Knowledge and Data Engineering, 36 (12), 9403-9417. doi: 10.1109/tkde.2024.3435859

Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach

2024

Journal Article

Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction

Zhang, Xiaoyu, Huang, Shixun, Dong, Hai, Bao, Zhifeng, Liu, Jiajun and Yi, Xun (2024). Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction. IEEE Transactions on Services Computing, 17 (6), 4055-4068. doi: 10.1109/tsc.2024.3486174

Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction

2024

Journal Article

Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting

Yi, Peiyu, Huang, Feihu, Peng, Jian and Bao, Zhifeng (2024). Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting. ACM Transactions on Spatial Algorithms and Systems, 10 (4), 1-23. doi: 10.1145/3675165

Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting

2024

Conference Publication

Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

Chen, Minxiao, Yuan, Haitao, Jiang, Nan, Bao, Zhifeng and Wang, Shangguang (2024). Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity. CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management, Boise, ID United States, 21 - 25 October 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3627673.3679567

Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity

2024

Journal Article

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization

Chen, Lin, Ding, Xiaofeng, Bao, Zhifeng, Zhou, Pan and Jin, Hai (2024). Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Transactions on Knowledge and Data Engineering, 36 (9), 4567-4581. doi: 10.1109/tkde.2024.3379001

Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization

2024

Journal Article

Robust Multi-Kernel Nearest Neighborhood for Outlier Detection

Wang, Xinye, Duan, Lei, Yu, Zhenyang, He, Chengxin and Bao, Zhifeng (2024). Robust Multi-Kernel Nearest Neighborhood for Outlier Detection. IEEE Transactions on Knowledge and Data Engineering, 36 (8), 4220-4231. doi: 10.1109/tkde.2024.3364179

Robust Multi-Kernel Nearest Neighborhood for Outlier Detection

2024

Conference Publication

Cost-effective Data Labelling for Graph Neural Networks

Huang, Shixun, Lee, Ge, Bao, Zhifeng and Pan, Shirui (2024). Cost-effective Data Labelling for Graph Neural Networks. WWW '24: The ACM Web Conference 2024, Singapore, 13 - 17 May 2024. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3589334.3645339

Cost-effective Data Labelling for Graph Neural Networks

2023

Journal Article

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries

Mo, Songsong, Chen, Yile, Wang, Hao, Cong, Gao and Bao, Zhifeng (2023). Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proceedings of the ACM on Management of Data, 1 (4), 1-26. doi: 10.1145/3626734

Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries

2023

Journal Article

Shortest Paths Discovery in Uncertain Networks via Transfer Learning

Huang, Shixun and Bao, Zhifeng (2023). Shortest Paths Discovery in Uncertain Networks via Transfer Learning. Proceedings of the ACM on Management of Data, 1 (2), 1-25. doi: 10.1145/3589286

Shortest Paths Discovery in Uncertain Networks via Transfer Learning

2023

Journal Article

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery

Xu, Yichen, Ma, Chenhao, Fang, Yixiang and Bao, Zhifeng (2023). Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proceedings of the ACM on Management of Data, 1 (2), 1-27. doi: 10.1145/3589314

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery

2023

Journal Article

Managing Conflicting Interests of Stakeholders in Influencer Marketing

Huang, Shixun, Gan, Junhao, Bao, Zhifeng and Lin, Wenqing (2023). Managing Conflicting Interests of Stakeholders in Influencer Marketing. Proceedings of the ACM on Management of Data, 1 (1), 1-27. doi: 10.1145/3588934

Managing Conflicting Interests of Stakeholders in Influencer Marketing

2023

Journal Article

Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders

Wang, Tingting, Luo, Hui, Bao, Zhifeng and Duan, Lei (2023). Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3712-3726. doi: 10.1109/tkde.2022.3141368

Dynamic ridesharing with minimal regret: towards an enhanced engagement among three stakeholders

2023

Journal Article

A Query Optimizer for Range Queries over Multi-Attribute Trajectories

Xu, Jianqiu, Lu, Hua and Bao, Zhifeng (2023). A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM Transactions on Intelligent Systems and Technology, 14 (1) 12, 1-28. doi: 10.1145/3555811

A Query Optimizer for Range Queries over Multi-Attribute Trajectories

2022

Journal Article

Differentially Private Triangle Counting in Large Graphs

Ding, Xiaofeng, Sheng, Shujun, Zhou, Huajian, Zhang, Xiaodong, Bao, Zhifeng, Zhou, Pan and Jin, Hai (2022). Differentially Private Triangle Counting in Large Graphs. IEEE Transactions on Knowledge and Data Engineering, 34 (11), 5278-5292. doi: 10.1109/tkde.2021.3052827

Differentially Private Triangle Counting in Large Graphs

2022

Journal Article

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

Mo, Songsong, Bao, Zhifeng, Zheng, Baihua and Peng, Zhiyong (2022). Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. IEEE Transactions on Knowledge and Data Engineering, 34 (9), 4484-4498. doi: 10.1109/tkde.2020.3036573

Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters

Current funding

  • 2025 - 2029
    Automating Target-Oriented Data Orchestration at Scale
    ARC Future Fellowships
    Open grant
  • 2024 - 2027
    Scaling Disk-Resident Learned Indexes for Database Systems
    ARC Discovery Projects
    Open grant

Availability

Professor Zhifeng Bao is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Enhancing Effectiveness and Interpretability of Autonomous Agents for Complex Data Science Workflows Through Structured Domain Knowledge Integration

    Principal Advisor

    Other advisors: Professor Shane Culpepper, Dr Tingting Wang

Enquiries

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