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2020 – today
- 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) - 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) - [j18]Qing Xie, Feng Xiong, Tian Han, Yongjian Liu, Lin Li, Zhifeng Bao:
Interactive resource recommendation algorithm based on tag information. World Wide Web 21(6): 1655-1673 (2018) - [c69]Yipeng Zhang, Ping Zhang, Zhifeng Bao, Zizhe Xie, Qizhi Liu, Bang Zhang:
Finding Influential Nodes by a Fast Marginal Ranking Method. ADC 2018: 249-261 - [c68]Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin:
Privacy-Preserving Triangle Counting in Large Graphs. CIKM 2018: 1283-1292 - [c67]Hui Luo, Farhana Murtaza Choudhury, Zhifeng Bao, J. Shane Culpepper, Bang Zhang:
MaxBRkNN Queries for Streaming Geo-Data. DASFAA (1) 2018: 647-664 - [c66]Munkh-Erdene Yadamjav, Farhana Murtaza Choudhury, Zhifeng Bao, Hanan Samet:
Efficient Multi-range Query Processing on Trajectories. ER 2018: 269-285 - [c65]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong:
Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract). ICDE 2018: 1785-1786 - [c64]Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Zhifeng Bao:
D-CARS: A Declarative Context-Aware Recommender System. ICDM 2018: 1152-1157 - [c63]Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng:
Trajectory-driven Influential Billboard Placement. KDD 2018: 2748-2757 - [c62]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Zizhe Xie, Qizhi Liu, Xiaolin Qin:
Torch: A Search Engine for Trajectory Data. SIGIR 2018: 535-544 - [c61]Tao Guo, Kaiyu Feng, Gao Cong, Zhifeng Bao:
Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration. SIGMOD Conference 2018: 567-582 - [c60]Zeyuan Shang, Guoliang Li, Zhifeng Bao:
DITA: Distributed In-Memory Trajectory Analytics. SIGMOD Conference 2018: 725-740 - [c59]Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomo, Xiaolin Qin:
Trip Planning by an Integrated Search Paradigm. SIGMOD Conference 2018: 1673-1676 - [c58]Tao Guo, Mingzhao Li, Peishan Li, Zhifeng Bao, Gao Cong:
POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps. SIGMOD Conference 2018: 1677-1680 - [c57]Zeyuan Shang, Guoliang Li, Zhifeng Bao:
DITA: A Distributed In-Memory Trajectory Analytics System. SIGMOD Conference 2018: 1681-1684 - [c56]Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Ping Zhang, Bang Zhang:
A Linear-Time Algorithm for Finding Induced Planar Subgraphs. SEA 2018: 23:1-23:15 - [c55]Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang:
A Unified Processing Paradigm for Interactive Location-based Web Search. WSDM 2018: 601-609 - [c54]Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis:
Supporting Large-scale Geographical Visualization in a Multi-granularity Way. WSDM 2018: 767-770 - [i3]Ping Zhang, Zhifeng Bao, Yuchen Li, Guoliang Li, Yipeng Zhang, Zhiyong Peng:
Trajectory-driven Influential Billboard Placement. CoRR abs/1802.02254 (2018) - 2017
- [j17]Qin Li, Xiaoshuang Shi, Linfei Zhou, Zhifeng Bao, Zhenhua Guo:
Active learning via local structure reconstruction. Pattern Recognit. Lett. 92: 81-88 (2017) - [j16]Ji Sun, Zeyuan Shang, Guoliang Li, Dong Deng, Zhifeng Bao:
Dima: A Distributed In-Memory Similarity-Based Query Processing System. Proc. VLDB Endow. 10(12): 1925-1928 (2017) - [j15]Yao Shen, Zhifeng Bao, Xiaolin Qin, Jian Shen:
Adaptive task scheduling strategy in cloud: when energy consumption meets performance guarantee. World Wide Web 20(2): 155-173 (2017) - [j14]Sheng Wang, Xiaolin Qin, Zhifeng Bao, Bohan Li:
Tide-tree: A self-tuning indexing scheme for hybrid storage system. World Wide Web 20(5): 1017-1045 (2017) - [j13]Zhifeng Bao, Yi Yu, Jian Shen, Zhangjie Fu:
A query refinement framework for xml keyword search. World Wide Web 20(6): 1469-1505 (2017) - [c53]Munkh-Erdene Yadamjav, Sheng Wang, Zhifeng Bao, Bang Zhang:
Boosting Point-Based Trajectory Search with Quad-Tree. ADC 2017: 29-41 - [c52]Zizhe Xie, Qizhi Liu, Zhifeng Bao:
Sifting Truths from Multiple Low-Quality Data Sources. APWeb/WAIM (1) 2017: 74-81 - [c51]Liangjun Song, Ping Zhang, Zhifeng Bao, Timos K. Sellis:
Continuous Summarization over Microblog Threads. DASFAA (2) 2017: 511-526 - [c50]Farhana Murtaza Choudhury, Zhifeng Bao, J. Shane Culpepper, Timos Sellis:
Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries. ICDE 2017: 585-596 - [c49]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Mark Sanderson, Xiaolin Qin:
Answering Top-k Exemplar Trajectory Queries. ICDE 2017: 597-608 - [e2]