Professor Zhifeng Bao
Professor
School of Electrical Engineering and Computer Science
+61 7 344 38734
Journal Articles
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
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
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
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
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
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
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
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
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
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
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
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
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
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), 1-28. doi: 10.1145/3555811
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
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
Gao, Guangliang, Bao, Zhifeng, Cao, Jie, Qin, A. K. and Sellis, Timos (2022). Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Transactions on Intelligent Systems and Technology, 13 (2), 1-25. doi: 10.1145/3501806
Li, Mingzhao, Bao, Zhifeng, Choudhury, Farhana, Samet, Hanan, Duckham, Matt and Sellis, Timos (2021). AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest. ACM Transactions on Interactive Intelligent Systems, 11 (3-4), 1-32. doi: 10.1145/3431817
Lan, Hai, Bao, Zhifeng and Peng, Yuwei (2021). A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. Data Science and Engineering, 6 (1), 86-101. doi: 10.1007/s41019-020-00149-7
Wang, Xiaoli, Luo, Feng, Wu, Qingfeng and Bao, Zhifeng (2021). How Context or Knowledge Can Benefit Healthcare Question Answering. IEEE Transactions on Knowledge and Data Engineering, 35 (1), 575-588. doi: 10.1109/tkde.2021.3090253
Xu, Jianqiu, Bao, Zhifeng and Lu, Hua (2021). A Framework to Support Continuous Range Queries over Multi-Attribute Trajectories. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 1119-1133. doi: 10.1109/tkde.2021.3100650
Wang, Sheng, Sun, Yuan and Bao, Zhifeng (2020). On the efficiency of K-means clustering : evaluation, optimization, and algorithm selection. Proceedings of the VLDB Endowment, 14 (2), 163-175. doi: 10.14778/3425879.3425887
Ding, Xiaofeng, Zhou, Wenxiang, Sheng, Shujun, Bao, Zhifeng, Choo, Kim-Kwang Raymond and Jin, Hai (2020). Differentially private publication of streaming trajectory data. Information Sciences, 538, 159-175. doi: 10.1016/j.ins.2020.05.058
Yadamjav, Munkh-Erdene, Bao, Zhifeng, Zheng, Baihua, Choudhury, Farhana M. and Samet, Hanan (2020). Querying recurrent convoys over trajectory data. ACM Transactions on Intelligent Systems and Technology, 11 (5) 59, 1-24. doi: 10.1145/3400730
Xu, Jianqiu, Lu, Hua and Bao, Zhifeng (2020). IMO : a toolbox for simulating and querying "infected" moving objects. Proceedings of the VLDB Endowment, 13 (12), 2825-2828. doi: 10.14778/3415478.3415485
Mo, Songsong, Bao, Zhifeng, Zheng, Baihua and Peng, Zhiyong (2020). FASTS : a satisfaction-boosting bus scheduling assistant. Proceedings of the VLDB Endowment, 13 (12), 2873-2876. doi: 10.14778/3415478.3415497
Zhang, Ping, Bao, Zhifeng, Li, Yuchen, Li, Guoliang, Zhang, Yipeng and Peng, Zhiyong (2020). Towards an Optimal Outdoor Advertising Placement : When a Budget Constraint Meets Moving Trajectories. ACM Transactions on Knowledge Discovery from Data, 14 (5), 1-32. doi: 10.1145/3350488
Xie, Qing, Zhu, Yajie, Xiong, Feng, Li, Lin, Bao, Zhifeng and Liu, Yongjian (2020). Interactive resource recommendation with optimization by tag association and significance analysis. Neurocomputing, 391, 210-219. doi: 10.1016/j.neucom.2018.12.082
Tedjopurnomo, David Alexander, Bao, Zhifeng, Zheng, Baihua, Choudhury, Farhana and Qin, A. K. (2020). A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. IEEE Transactions on Knowledge and Data Engineering, 1544-1561. doi: 10.1109/tkde.2020.3001195
Yuan, Chengzhe, Bao, Zhifeng, Sanderson, Mark and Tang, Yong (2019). Incorporating word attention with convolutional neural networks for abstractive summarization. World Wide Web, 23 (1), 267-287. doi: 10.1007/s11280-019-00709-6
Zhang, Yipeng, Bao, Zhifeng, Mo, Songsong, Li, Yuchen and Zhou, Yanghao (2019). ITAA : an intelligent trajectory-driven outdoor advertising deployment assistant. Proceedings of the VLDB Endowment, 12 (12), 1790-1793. doi: 10.14778/3352063.3352067
Sun, Ji, Shang, Zeyuan, Li, Guoliang, Deng, Dong and Bao, Zhifeng (2019). Balance-aware distributed string similarity-based query processing system. Proceedings of the VLDB Endowment, 12 (9), 961-974. doi: 10.14778/3329772.3329774
Xie, Qing, Xiong, Feng, Han, Tian, Liu, Yongjian, Li, Lin and Bao, Zhifeng (2018). Interactive resource recommendation algorithm based on tag information. World Wide Web-Internet and Web Information Systems, 21 (6), 1655-1673. doi: 10.1007/s11280-018-0532-y
Choudhury, Farhana M., Culpepper, J. Shane, Bao, Zhifeng and Sellis, Timos (2018). Batch Processing of Top-k Spatial-Textual Queries. Acm Transactions On Spatial Algorithms and Systems, 3 (4) 13. doi: 10.1145/3196155
Bao, Zhifeng, Yu, Yi, Shen, Jian and Fu, Zhangjie (2017). A query refinement framework for xml keyword search. World Wide Web, 20 (6), 1469-1505. doi: 10.1007/s11280-017-0447-z
Shen, Yao, Bao, Zhifeng, Qin, Xiaolin and Shen, Jian (2017). Adaptive task scheduling strategy in cloud: when energy consumption meets performance guarantee. World Wide Web-Internet and Web Information Systems, 20 (2), 155-173. doi: 10.1007/s11280-016-0382-4
Zhou, Jun-Feng, Ling, Tok Wang, Bao, Zhi-Feng and Meng, Xiao-Feng (2012). Related Axis: The Extension to XPath Towards Effective XML Search. Journal of Computer Science and Technology, 27 (1), 195-212. doi: 10.1007/s11390-012-1217-0
Conference Papers
Yu, Zixiang, Deng, Guangyang, Shen, Zhirong, Su, Qiangsheng, Wu, Ronglong, Wang, Xiaoli, Xu, Quanqing, Yang, Chuanhui and Bao, Zhifeng (2025). MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories. SC '25: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO United States, 16 - 21 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3712285.3759776
Zhang, Xiaoyu, Bao, Zhifeng, Dong, Hai, Wang, Ziwei and Liu, Jiajun (2025). Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet. MM '25: The 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27 - 31 October 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746027.3755043
Wang, Yuhan, Xie, Qing, Bao, Zhifeng, Tang, Mengzi, Li, Lin and Liu, Yongjian (2025). Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement. RecSys '25: Nineteenth ACM Conference on Recommender Systems, Prague, Czech Republic, 22 - 26 September 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3705328.3748044
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
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
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
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
Chen, Yile, Li, Xiucheng, Cong, Gao, Bao, Zhifeng, Long, Cheng, Liu, Yiding, Chandran, Arun Kumar and Ellison, Richard (2021). Robust Road Network Representation Learning : When Traffic Patterns Meet Traveling Semantics. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Online, 1 - 5 November 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3459637.3482293
Wang, Sheng, Sun, Yuan, Musco, Christopher and Bao, Zhifeng (2021). Public Transport Planning : When Transit Network Connectivity Meets Commuting Demand. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457247
Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Zheng, Baihua and Jagadish, H. V. (2021). Minimizing the Regret of an Influence Provider. SIGMOD/PODS '21: International Conference on Management of Data, Online, 20 - 25 June 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3448016.3457257
Huang, Shixun, Li, Yuchen, Bao, Zhifeng and Li, Zhao (2021). Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde51399.2021.00052
Lan, Hai, Bao, Zhifeng and Peng, Yuwei (2020). An Index Advisor Using Deep Reinforcement Learning. CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Online, 19 - 23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3412106
Wang, Tingting, Duan, Lei, Dong, Guozhu and Bao, Zhifeng (2020). Efficient mining of outlying sequence patterns for analyzing outlierness of sequence data. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, England, 19-23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3399671
Yuan, Haitao, Li, Guoliang, Bao, Zhifeng and Feng, Ling (2020). Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD/PODS '20: International Conference on Management of Data, Portland, OR United States, 14 - 19 June 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3318464.3389771
Luo, Feng, Wang, Xiaoli, Wu, Qingfeng, Liang, Jiaying, Qiu, Xueliang and Bao, Zhifeng (2020). HQADeepHelper: A Deep Learning System for Healthcare Question Answering. WWW '20: The Web Conference 2020, Taipei, Taiwan, 20 - 24 April 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3366424.3383539
Liu, Yiding, Zhao, Kaiqi, Cong, Gao and Bao, Zhifeng (2020). Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX United States, 20-24 April 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icde48307.2020.00087
Yadamjav, Munkh-Erdene, Bao, Zhifeng, Choudhury, Farhana M., Samet, Hanan and Zheng, Baihua (2019). Querying Continuous Recurrent Convoys of Interest. SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL United States, 5 - 8 November 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3347146.3359083
Zhang, Yipeng, Li, Yuchen, Bao, Zhifeng, Mo, Songsong and Zhang, Ping (2019). Optimizing Impression Counts for Outdoor Advertising. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330829
Wang, Xiaoli, Wang, Rongzhen, Bao, Zhifeng, Liang, Jiayin and Lu, Wei (2019). Effective Medical Archives Processing Using Knowledge Graphs. SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, 21 - 25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331350
Li, Mingzhao, Bao, Zhifeng, Choudhury, Farhana and Sellis, Timos (2019). Interactive Visualization of Urban Areas of Interest : A Parameter-Free and Efficient Footprint Method. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3289600.3290612
Wang, Sheng, Shen, Yunzhuang, Bao, Zhifeng and Qin, Xiaolin (2019). Intelligent Traffic Analytics : From Monitoring to Controlling. WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC Australia, 11 - 15 February 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3289600.3290615
Xu, Jianqiu, Bao, Zhifeng and Lu, Hua (2019). Continuous range queries over multi-attribute trajectories. IEEE 35th International Conference on Data Engineering (ICDE), Macau, Peoples Republic of China, 8-11 April 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDE.2019.00154
Guo, Tao, Li, Mingzhao, Li, Peishan, Bao, Zhifeng and Cong, Gao (2018). POIsam : a System for Efficient Selection of Large-scale Geospatial Data on Maps. 44th ACM SIGMOD International Conference on Management of Data, Houston Tx, Jun 10-15, 2018. New York, NY, USA: ACM. doi: 10.1145/3183713.3193549
Guo, Tao, Feng, Kaiyu, Cong, Gao and Bao, Zhifeng (2018). Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration. 44th ACM SIGMOD International Conference on Management of Data, Houston Tx, Jun 10-15, 2018. New York, NY, USA: ACM. doi: 10.1145/3183713.3183738