Zhifeng Bao

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 152

Top Venues

CoRR

ICDE

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan
Cost-effective Data Labelling for Graph Neural Networks. WWW (2024)
Zijia Wang, Haoran Liu, Chen Lin, Zhifeng Bao, Guoliang Li, Tianqing Wang
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors. Proc. VLDB Endow. 17 (7) (2024)
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei, Volkan Dedeoglu
Advanced Dataset Discovery: When Multi-Query-Dataset Cardinality Estimation Matters. CoRR (2024)
Zhuowei Zhao, Junhao Gan, Jianzhong Qi, Zhifeng Bao
Efficient Example-Guided Interactive Graph Search. ICDE (2024)
Sha Wang, Yuchen Li, Hanhua Xiao, Zhifeng Bao, Lambert Deng, Yanfei Dong
Enabling Roll-Up and Drill-Down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management. ICDE (2024)
Sha Wang, Yuchen Li, Hanhua Xiao, Zhifeng Bao, Lambert Deng, Yanfei Dong
Enabling Roll-up and Drill-down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management. CoRR (2024)
Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity. CoRR (2024)
Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao
Efficient and effective algorithms for densest subgraph discovery and maintenance. VLDB J. 33 (5) (2024)
Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong
A Fully On-Disk Updatable Learned Index. ICDE (2024)
Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. ICDE (2024)
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei
Optimizing Data Acquisition to Enhance Machine Learning Performance. Proc. VLDB Endow. 17 (6) (2024)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR (2024)
Lin Chen, Xiaofeng Ding, Zhifeng Bao, Pan Zhou, Hai Jin
Differentially Private Federated Learning on Non-iid Data: Convergence Analysis and Adaptive Optimization. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Jianqiu Xu, Zhifeng Bao, Hua Lu
A Framework to Support Continuous Range Queries Over Multi-Attribute Trajectories. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Xiaoli Wang, Feng Luo, Qingfeng Wu, Zhifeng Bao
How Context or Knowledge Can Benefit Healthcare Question Answering? IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. CoRR (2023)
Wen Sun, Qingqiang Wu, Xiaoli Wang, Junfeng Yao, Zhifeng Bao
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions. ADMA (4) (2023)
Tingting Wang, Hui Luo, Zhifeng Bao, Lei Duan
Dynamic Ridesharing With Minimal Regret: Towards an Enhanced Engagement Among Three Stakeholders. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. Proc. ACM Manag. Data 1 (2) (2023)
Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proc. ACM Manag. Data 1 (4) (2023)
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46 (4) (2023)
Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu
Deep entity matching with adversarial active learning. VLDB J. 32 (1) (2023)
Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too? CoRR (2023)
Shixun Huang, Zhifeng Bao
Shortest Paths Discovery in Uncertain Networks via Transfer Learning. Proc. ACM Manag. Data 1 (2) (2023)
Haitao Yuan, Sai Wang, Zhifeng Bao, Shangguang Wang
Automatic Road Extraction with Multi-Source Data Revisited: Completeness, Smoothness and Discrimination. Proc. VLDB Endow. 16 (11) (2023)
Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR (2023)
Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. WWW (2023)
David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. K. Qin
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). ICDE (2023)
Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proc. ACM Manag. Data 1 (2) (2023)
Shixun Huang, Junhao Gan, Zhifeng Bao, Wenqing Lin
Managing Conflicting Interests of Stakeholders in Influencer Marketing. Proc. ACM Manag. Data 1 (1) (2023)
Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. CoRR (2023)
Jianqiu Xu, Hua Lu, Zhifeng Bao
A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Daomin Ji, Hui Luo, Zhifeng Bao
Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. ICDE (2023)
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR (2022)
Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun
Influence Maximization in Real-World Closed Social Networks. Proc. VLDB Endow. 16 (2) (2022)
Yudong Niu, Yuchen Li, Ju Fan, Zhifeng Bao
Local Clustering over Labeled Graphs: An Index-Free Approach. ICDE (2022)
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
Let Trajectories Speak Out the Traffic Bottlenecks. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Hai Lan, Yuanjia Zhang, Zhifeng Bao, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang
AutoDI: Towards an Automatic Plan Regression Analysis. Proc. VLDB Endow. 15 (12) (2022)
Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Towards an Optimal Bus Frequency Scheduling: When the Waiting Time Matters. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Haitao Yuan, Guoliang Li, Zhifeng Bao
Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity. Proc. VLDB Endow. 16 (3) (2022)
Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei
Representative Routes Discovery from Massive Trajectories. KDD (2022)
Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu
Approximate Range Thresholding. SIGMOD Conference (2022)
David Alexander Tedjopurnomo, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo, A. Kai Qin
Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore. FAccT (2022)
Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis
Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Trans. Intell. Syst. Technol. 13 (2) (2022)
Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun
Influence Maximization in Real-World Closed Social Networks. CoRR (2022)
David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Alex Kai Qin
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang
VRE: A Versatile, Robust, and Economical Trajectory Data System. Proc. VLDB Endow. 15 (12) (2022)
Xiaofeng Ding, Shujun Sheng, Huajian Zhou, Xiaodong Zhang, Zhifeng Bao, Pan Zhou, Hai Jin
Differentially Private Triangle Counting in Large Graphs. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. CoRR (2021)
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. 54 (2) (2021)
Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. 15 (3) (2021)
Xiaoyu Zhang, Shixun Huang, Hai Dong, Zhifeng Bao
Edge Node Placement with Minimum Costs: When User Tolerance on Service Delay Matters. ICSOC (2021)
Munkh-Erdene Yadamjav, Farhana Murtaza Choudhury, Zhifeng Bao, Baihua Zheng
Time Period-Based Top-k Semantic Trajectory Pattern Query. DASFAA (1) (2021)
David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. Kai Qin
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. ACM Trans. Intell. Syst. Technol. 12 (6) (2021)
Hai Lan, Zhifeng Bao, Yuwei Peng
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. Data Sci. Eng. 6 (1) (2021)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM (2021)
Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng
An Effective Joint Prediction Model for Travel Demands and Traffic Flows. ICDE (2021)
Yipeng Zhang, Yuchen Li, Zhifeng Bao, Baihua Zheng, H. V. Jagadish
Minimizing the Regret of an Influence Provider. SIGMOD Conference (2021)
Shixun Huang, Yuchen Li, Zhifeng Bao, Zhao Li
Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. ICDE (2021)
Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper
Dynamic Ridesharing in Peak Travel Periods. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. SIGMOD Conference (2021)
Hai Lan, Zhifeng Bao, Yuwei Peng
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. CoRR (2021)
Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. CoRR (2021)
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR (2021)
Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Hanan Samet, Matt Duckham, Timos Sellis
AOI-shapes: An Efficient Footprint Algorithm to Support Visualization of User-defined Urban Areas of Interest. ACM Trans. Interact. Intell. Syst. 11 (3-4) (2021)
Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng
Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD Conference (2020)
Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
FASTS: A Satisfaction-Boosting Bus Scheduling Assistant. Proc. VLDB Endow. 13 (12) (2020)
Chengzhe Yuan, Zhifeng Bao, Mark Sanderson, Yong Tang
Incorporating word attention with convolutional neural networks for abstractive summarization. World Wide Web 23 (1) (2020)
Xiaoli Wang, Yixiang Xie, Siqi Xie, Zhifeng Bao, Shuwen Su
IMAS: An Intelligent Medical Analysis System Based on Concept Graph. ER Forum/Posters/Demos (2020)
Sheng Wang, Yuan Sun, Zhifeng Bao
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. Proc. VLDB Endow. 14 (2) (2020)
Xiaofeng Ding, Wenxiang Zhou, Shujun Sheng, Zhifeng Bao, Kim-Kwang Raymond Choo, Hai Jin
Differentially private publication of streaming trajectory data. Inf. Sci. 538 (2020)
Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. ICDE (2020)
Sheng Wang, Yuan Sun, Zhifeng Bao
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. CoRR (2020)
Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. DASFAA (2) (2020)
Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE (2020)
Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper
Dynamic Ridesharing in Peak Travel Periods. CoRR (2020)
Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. CoRR (2020)
Lun Li, Xiaohang Chen, Qizhi Liu, Zhifeng Bao
A Data-Driven Approach for GPS Trajectory Data Cleaning. DASFAA (1) (2020)
Songsong Mo, Zhifeng Bao, Ping Zhang, Zhiyong Peng
Towards an Efficient Weighted Random Walk Domination. Proc. VLDB Endow. 14 (4) (2020)
Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng
Towards an Optimal Outdoor Advertising Placement: When a Budget Constraint Meets Moving Trajectories. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. CoRR (2020)
Jianqiu Xu, Hua Lu, Zhifeng Bao
IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects. Proc. VLDB Endow. 13 (12) (2020)
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
A Survey on Trajectory Data Management, Analytics, and Learning. CoRR (2020)
Hai Lan, Zhifeng Bao, Yuwei Peng
An Index Advisor Using Deep Reinforcement Learning. CIKM (2020)
JiaCheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu
Crowdsourced Collective Entity Resolution with Relational Match Propagation. CoRR (2020)
Siyu Liu, Qizhi Liu, Zhifeng Bao
DARS: Diversity and Distribution-Aware Region Search. DASFAA (3) (2020)
Afrah Olayan Alanazi, Mark Sanderson, Zhifeng Bao, Jaewon Kim
The Impact of Ad Quality and Position on Mobile SERPs. CHIIR (2020)
Qing Xie, Yajie Zhu, Feng Xiong, Lin Li, Zhifeng Bao, Yongjian Liu
Interactive resource recommendation with optimization by tag association and significance analysis. Neurocomputing 391 (2020)
Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H. V. Jagadish, Timos Sellis
Incremental preference adjustment: a graph-theoretical approach. VLDB J. 29 (6) (2020)
Munkh-Erdene Yadamjav, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, Hanan Samet
Querying Recurrent Convoys over Trajectory Data. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Feng Luo, Xiaoli Wang, Qingfeng Wu, Jiayin Liang, Xueliang Qiu, Zhifeng Bao
HQADeepHelper: A Deep Learning System for Healthcare Question Answering. WWW (Companion Volume) (2020)
Tingting Wang, Lei Duan, Guozhu Dong, Zhifeng Bao
Efficient Mining of Outlying Sequence Patterns for Analyzing Outlierness of Sequence Data. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. SIGIR (2020)
JiaCheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu
Crowdsourced Collective Entity Resolution with Relational Match Propagation. ICDE (2020)
Munkh-Erdene Yadamjav, Zhifeng Bao, Farhana Murtaza Choudhury, Hanan Samet, Baihua Zheng
Querying Continuous Recurrent Convoys of Interest. SIGSPATIAL/GIS (2019)
Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis
Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method. WSDM (2019)
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Xiaolin Qin
Fast Large-Scale Trajectory Clustering. Proc. VLDB Endow. 13 (1) (2019)
Jaewon Kim, Johanne R. Trippas, Mark Sanderson, Zhifeng Bao, W. Bruce Croft
How do Computer Scientists Use Google Scholar?: A Survey of User Interest in Elements on SERPs and Author Profile Pages. BIR@ECIR (2019)
Yipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, Ping Zhang
Optimizing Impression Counts for Outdoor Advertising. KDD (2019)
P. V. S. Avinesh, Yongli Ren, Christian M. Meyer, Jeffrey Chan, Zhifeng Bao, Mark Sanderson
J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation. ECML/PKDD (3) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhifeng Bao