Overview
Availability
- Professor Zhifeng Bao is:
- Available for supervision
Works
Search Professor Zhifeng Bao’s works on UQ eSpace
2026
Journal Article
Relation-Aware Proxy Hashing for Cross-Modal Retrieval
Xu, Jinyu, Xie, Qing, Li, Jiachen, Ma, Yanchun, Liu, Yongjian and Bao, Zhifeng (2026). Relation-Aware Proxy Hashing for Cross-Modal Retrieval. ACM Transactions on Multimedia Computing, Communications, and Applications 3811910. doi: 10.1145/3811910
2026
Journal Article
Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking
Lan, Hai, Yu, Yang, Bao, Zhifeng, Huang, Zi and Peng, Yuwei (2026). Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking. Proceedings of the ACM on Management of Data, 4 (1), 1-26. doi: 10.1145/3788254
2026
Journal Article
FlexRT: Enabling Flexible and Efficient Redundancy Transitioning in Erasure-Coded Systems
Nan, Fulin, Chen, Liang, Chen, Zehai, Wu, Ronglong, Shen, Zhirong, Bao, Zhifeng, KAPLUN, DMITRII and Shu, Jiwu (2026). FlexRT: Enabling Flexible and Efficient Redundancy Transitioning in Erasure-Coded Systems. ACM Transactions on Architecture and Code Optimization 3801101. doi: 10.1145/3801101
2026
Journal Article
Enhancing Fine-Grained Sketch-based Image Retrieval through Contextual Information
Xu, Jinyu, Xie, Qing, Li, Jiachen, Bao, Zhifeng, Ma, Yanchun and Liu, Yongjian (2026). Enhancing Fine-Grained Sketch-based Image Retrieval through Contextual Information. IEEE Transactions on Multimedia, 1-12. doi: 10.1109/tmm.2026.3668640
2025
Conference Publication
MetoHash: A Memory-Efficient and Traffic-Optimized Hashing Index on Hybrid PMem-DRAM Memories
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
2025
Conference Publication
Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet
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
2025
Conference Publication
Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Funding
Current funding
Supervision
Availability
- Professor Zhifeng Bao is:
- Available for supervision
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