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2020 – today
- 2024
[j69]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): 1310-1323 (2024)- [j68]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): 1642-1654 (2024) - [j67]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): 4567-4581 (2024) - [j66]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and effective algorithms for densest subgraph discovery and maintenance. VLDB J. 33(5): 1427-1452 (2024) - [c110]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: 1-7 - [c109]Zhuowei Zhao, Junhao Gan, Jianzhong Qi, Zhifeng Bao:
Efficient Example-Guided Interactive Graph Search. ICDE 2024: 342-354 - [c108]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: 2489-2502 - [c107]Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong:
A Fully On-Disk Updatable Learned Index. ICDE 2024: 4856-4869 - [c106]Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan:
Cost-effective Data Labelling for Graph Neural Networks. WWW 2024: 353-364 - [e4]Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Murtaza Choudhury, Zhengyi Yang:
Databases Theory and Applications - 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings. Lecture Notes in Computer Science 14386, Springer 2024, ISBN 978-3-031-47842-0 [contents] - [i24]Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei, Volkan Dedeoglu:
Advanced Dataset Discovery: When Multi-Query-Dataset Cardinality Estimation Matters. CoRR abs/2401.00659 (2024) - [i23]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR abs/2403.11495 (2024) - [i22]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 abs/2405.04929 (2024) - [i21]Minxiao Chen, Haitao Yuan, Nan Jiang, Zhifeng Bao, Shangguang Wang:
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity. CoRR abs/2407.19668 (2024) - 2023
- [j65]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): 4-17 (2023) - [j64]Shixun Huang, Junhao Gan, Zhifeng Bao, Wenqing Lin:
Managing Conflicting Interests of Stakeholders in Influencer Marketing. Proc. ACM Manag. Data 1(1): 80:1-80:27 (2023) - [j63]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): 139:1-139:22 (2023) - [j62]Shixun Huang, Zhifeng Bao:
Shortest Paths Discovery in Uncertain Networks via Transfer Learning. Proc. ACM Manag. Data 1(2): 141:1-141:25 (2023) - [j61]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proc. ACM Manag. Data 1(2): 169:1-169:27 (2023) - [j60]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): 247:1-247:26 (2023) - [j59]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): 3004-3017 (2023) - [j58]Jianqiu Xu, Hua Lu, Zhifeng Bao:
A Query Optimizer for Range Queries over Multi-Attribute Trajectories. ACM Trans. Intell. Syst. Technol. 14(1): 12:1-12:28 (2023) - [j57]Xiaoli Wang, Feng Luo, Qingfeng Wu, Zhifeng Bao:
How Context or Knowledge Can Benefit Healthcare Question Answering? IEEE Trans. Knowl. Data Eng. 35(1): 575-588 (2023) - [j56]Jianqiu Xu, Zhifeng Bao, Hua Lu:
A Framework to Support Continuous Range Queries Over Multi-Attribute Trajectories. IEEE Trans. Knowl. Data Eng. 35(2): 1119-1133 (2023) - [j55]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): 3712-3726 (2023) - [j54]Jiacheng Huang, Wei Hu, Zhifeng Bao, Qijin Chen, Yuzhong Qu:
Deep entity matching with adversarial active learning. VLDB J. 32(1): 229-255 (2023) - [c105]Wen Sun, Qingqiang Wu, Xiaoli Wang, Junfeng Yao, Zhifeng Bao:
Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions. ADMA (4) 2023: 454-469 - [c104]Daomin Ji, Hui Luo, Zhifeng Bao:
Visualization Recommendation Through Visual Relation Learning and Visual Preference Learning. ICDE 2023: 1860-1873 - [c103]David Alexander Tedjopurnomo, Zhifeng Bao, Baihua Zheng, Farhana Murtaza Choudhury, A. Kai Qin:
A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract). ICDE 2023: 3795-3796 - [c102]Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao:
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. WWW 2023: 3937-3947 - [i20]Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic:
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. CoRR abs/2305.01237 (2023) - [i19]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 abs/2306.02604 (2023) - [i18]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 abs/2309.10979 (2023) - [i17]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 abs/2312.09708 (2023) - 2022
- [j53]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong:
A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. 54(2): 39:1-39:36 (2022) - [j52]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): 3398-3410 (2022) - [j51]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): 3626-3629 (2022) - [j50]Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun:
Influence Maximization in Real-World Closed Social Networks. Proc. VLDB Endow. 16(2): 180-192 (2022) - [j49]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): 393-405 (2022) - [j48]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): 8:1-8:21 (2022) - [j47]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): 32:1-32:25 (2022) - [j46]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): 1544-1561 (2022) - [j45]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): 4484-4498 (2022) - [j44]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): 5278-5292 (2022) - [c101]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: 278-288 - [c100]Yudong Niu, Yuchen Li, Ju Fan, Zhifeng Bao:
Local Clustering over Labeled Graphs: An Index-Free Approach. ICDE 2022: 2805-2817 - [c99]Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei:
Representative Routes Discovery from Massive Trajectories. KDD 2022: 4059-4069 - [c98]Zhuo Zhang, Junhao Gan, Zhifeng Bao, Seyed Mohammad Hussein Kazemi, Guangyong Chen, Fengyuan Zhu:
Approximate Range Thresholding. SIGMOD Conference 2022: 1108-1121 - [e3]Zhifeng Bao, Timos K. Sellis:
Proceedings of the VLDB 2022 PhD Workshop co-located with the 48th International Conference on Very Large Databases (VLDB 2022), Sydney, Australia, September 5, 2022. CEUR Workshop Proceedings 3186, CEUR-WS.org 2022 [contents] - [i16]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 abs/2202.13686 (2022) - [i15]Shixun Huang, Wenqing Lin, Zhifeng Bao, Jiachen Sun:
Influence Maximization in Real-World Closed Social Networks. CoRR abs/2209.10286 (2022) - 2021
- [j43]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): 86-101 (2021) - [j42]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): 504-512 (2021) - [j41]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): 27:1-27:32 (2021) - [j40]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): 77:1-77:26 (2021) - [j39]Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper:
Dynamic Ridesharing in Peak Travel Periods. IEEE Trans. Knowl. Data Eng. 33(7): 2888-2902 (2021) - [c97]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: 211-220 - [c96]Munkh-Erdene Yadamjav, Farhana Murtaza Choudhury, Zhifeng Bao, Baihua Zheng:
Time Period-Based Top-k Semantic Trajectory Pattern Query. DASFAA (1) 2021: 439-456 - [c95]Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng:
An Effective Joint Prediction Model for Travel Demands and Traffic Flows. ICDE 2021: 348-359 - [c94]Shixun Huang, Yuchen Li, Zhifeng Bao, Zhao Li:
Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. ICDE 2021: 528-539 - [c93]Xiaoyu Zhang, Shixun Huang, Hai Dong, Zhifeng Bao:
Edge Node Placement with Minimum Costs: When User Tolerance on Service Delay Matters. ICSOC 2021: 765-772 - [c92]Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. SIGMOD Conference 2021: 1906-1919 - [c91]Yipeng Zhang, Yuchen Li, Zhifeng Bao, Baihua Zheng, H. V. Jagadish:
Minimizing the Regret of an Influence Provider. SIGMOD Conference 2021: 2115-2127 - [i14]Hai Lan, Zhifeng Bao, Yuwei Peng:
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. CoRR abs/2101.01507 (2021) - [i13]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 abs/2101.02969 (2021) - [i12]Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao:
Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand. CoRR abs/2103.16084 (2021) - [i11]Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa:
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR abs/2107.12948 (2021) - 2020
- [j38]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: 210-219 (2020) - [j37]Xiaofeng Ding, Wenxiang Zhou, Shujun Sheng, Zhifeng Bao, Kim-Kwang Raymond Choo, Hai Jin:
Differentially private publication of streaming trajectory data. Inf. Sci. 538: 159-175 (2020) - [j36]Jianqiu Xu, Hua Lu, Zhifeng Bao:
IMO: A Toolbox for Simulating and Querying "Infected" Moving Objects. Proc. VLDB Endow. 13(12): 2825-2828 (2020) - [j35]Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng:
FASTS: A Satisfaction-Boosting Bus Scheduling Assistant. Proc. VLDB Endow. 13(12): 2873-2876 (2020) - [j34]Sheng Wang, Yuan Sun, Zhifeng Bao:
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. Proc. VLDB Endow. 14(2): 163-175 (2020) - [j33]Songsong Mo, Zhifeng Bao, Ping Zhang, Zhiyong Peng:
Towards an Efficient Weighted Random Walk Domination. Proc. VLDB Endow. 14(4): 560-572 (2020) - [j32]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): 59:1-59:24 (2020) - [j31]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): 51:1-51:32 (2020) - [j30]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): 62:1-62:26 (2020) - [j29]Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H. V. Jagadish, Timos Sellis:
Incremental preference adjustment: a graph-theoretical approach. VLDB J. 29(6): 1475-1500 (2020) - [j28]Chengzhe Yuan, Zhifeng Bao, Mark Sanderson, Yong Tang:
Incorporating word attention with convolutional neural networks for abstractive summarization. World Wide Web 23(1): 267-287 (2020) - [c90]Afrah Olayan Alanazi, Mark Sanderson, Zhifeng Bao, Jaewon Kim:
The Impact of Ad Quality and Position on Mobile SERPs. CHIIR 2020: 318-322 - [c89]Hai Lan, Zhifeng Bao, Yuwei Peng:
An Index Advisor Using Deep Reinforcement Learning. CIKM 2020: 2105-2108 - [c88]Lun Li, Xiaohang Chen, Qizhi Liu, Zhifeng Bao:
A Data-Driven Approach for GPS Trajectory Data Cleaning. DASFAA (1) 2020: 3-19 - [c87]Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng:
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. DASFAA (2) 2020: 192-208 - [c86]Siyu Liu, Qizhi Liu, Zhifeng Bao:
DARS: Diversity and Distribution-Aware Region Search. DASFAA (3) 2020: 204-220 - [c85]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: 158-162 - [c84]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. ICDE 2020: 37-48 - [c83]Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao:
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE 2020: 949-960 - [c82]Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. ICDE 2020: 1117-1128 - [c81]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: 781-790 - [c80]Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng:
Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD Conference 2020: 2135-2149 - [c79]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: 194-197 - [i10]Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu:
Crowdsourced Collective Entity Resolution with Relational Match Propagation. CoRR abs/2002.09361 (2020) - [i9]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong:
A Survey on Trajectory Data Management, Analytics, and Learning. CoRR abs/2003.11547 (2020) - [i8]Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. CoRR abs/2003.13212 (2020) - [i7]Hui Luo, Zhifeng Bao, Farhana Murtaza Choudhury, J. Shane Culpepper:
Dynamic Ridesharing in Peak Travel Periods. CoRR abs/2004.02570 (2020) - [i6]Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng:
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction. CoRR abs/2004.07812 (2020) - [i5]Sheng Wang, Yuan Sun, Zhifeng Bao:
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection. CoRR abs/2010.06654 (2020)
2010 – 2019
- 2019
- [j27]Ji Sun, Zeyuan Shang, Guoliang Li, Zhifeng Bao, Dong Deng:
Balance-Aware Distributed String Similarity-Based Query Processing System. Proc. VLDB Endow. 12(9): 961-974 (2019) - [j26]Yipeng Zhang, Zhifeng Bao, Songsong Mo, Yuchen Li, Yanghao Zhou:
ITAA: An Intelligent Trajectory-driven Outdoor Advertising Deployment Assistant. Proc. VLDB Endow. 12(12): 1790-1793 (2019) - [j25]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Xiaolin Qin:
Fast Large-Scale Trajectory Clustering. Proc. VLDB Endow. 13(1): 29-42 (2019) - [j24]Ping Zhang, Zhifeng Bao, Yudong Niu, Yipeng Zhang, Songsong Mo, Fei Geng, Zhiyong Peng:
Proactive rumor control in online networks. World Wide Web 22(4): 1799-1818 (2019) - [c78]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: 64-75 - [c77]Munkh-Erdene Yadamjav, Zhifeng Bao, Farhana Murtaza Choudhury, Hanan Samet, Baihua Zheng:
Querying Continuous Recurrent Convoys of Interest. SIGSPATIAL/GIS 2019: 436-439 - [c76]Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Bang Zhang:
Finding Temporal Influential Users Over Evolving Social Networks. ICDE 2019: 398-409 - [c75]Jianqiu Xu, Zhifeng Bao, Hua Lu:
Continuous Range Queries Over Multi-attribute Trajectories. ICDE 2019: 1610-1613 - [c74]Yipeng Zhang, Yuchen Li, Zhifeng Bao, Songsong Mo, Ping Zhang:
Optimizing Impression Counts for Outdoor Advertising. KDD 2019: 1205-1215 - [c73]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: 339-355 - [c72]Xiaoli Wang, Rongzhen Wang, Zhifeng Bao, Jiayin Liang, Wei Lu:
Effective Medical Archives Processing Using Knowledge Graphs. SIGIR 2019: 1141-1144 - [c71]Sheng Wang, Yunzhuang Shen, Zhifeng Bao, Xiaolin Qin:
Intelligent Traffic Analytics: From Monitoring to Controlling. WSDM 2019: 778-781 - [c70]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: 782-785 - [i4]Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. CoRR abs/1901.01774 (2019) - 2018
- [j23]Mingzhao Li, Farhana Murtaza Choudhury, Zhifeng Bao, Hanan Samet, Timos Sellis:
ConcaveCubes: Supporting Cluster-based Geographical Visualization in Large Data Scale. Comput. Graph. Forum 37(3): 217-228 (2018) - [j22]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong:
Reverse k Nearest Neighbor Search over Trajectories. IEEE Trans. Knowl. Data Eng. 30(4): 757-771 (2018) - [j21]Farhana Murtaza Choudhury, J. Shane Culpepper, Zhifeng Bao, Timos Sellis:
Batch Processing of Top-k Spatial-Textual Queries. ACM Trans. Spatial Algorithms Syst. 3(4): 13:1-13:40 (2018) - [j20]Mingzhao Li, Zhifeng Bao, Timos Sellis, Shi Yan, Rui Zhang:
HomeSeeker: A visual analytics system of real estate data. J. Vis. Lang. Comput. 45: 1-16 (2018) - [j19]Farhana Murtaza Choudhury, J. Shane Culpepper, Zhifeng Bao, Timos Sellis:
Finding the optimal location and keywords in obstructed and unobstructed space. VLDB J. 27(4): 445-470 (2018)