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ORCIDGuoliang Li 0001
Person information
- affiliation: Tsinghua University, Department of Computer Science, TNList, Beijing, China
Other persons with the same name
- Guoliang Li (aka: GuoLiang Li, Guo-Liang Li) — disambiguation page
- Guoliang Li 0002
![[0000-0003-1601-6640]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1601-6640")
— Genome Institute of Singapore (GIS) (and 1 more) - Guoliang Li 0003 — Oracle Labs, San Diego, CA, USA (and 2 more)
- Guoliang Li 0004 — Vastai Technologies, Shanghai, China (and 1 more)
- Guoliang Li 0005 — Yunnan University, School of Information Science and Engineering, Kunming, China
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2020 – today
- 2022
[j111]Yuyu Luo, Xuedi Qin, Chengliang Chai, Nan Tang, Guoliang Li, Wenbo Li:
Steerable Self-Driving Data Visualization. IEEE Trans. Knowl. Data Eng. 34(1): 475-490 (2022)- [j110]Xuanhe Zhou, Chengliang Chai, Guoliang Li, Ji Sun:
Database Meets Artificial Intelligence: A Survey. IEEE Trans. Knowl. Data Eng. 34(3): 1096-1116 (2022) - [j109]Na Ta, Kaiyu Li, Yi Yang, Fang Jiao, Zheng Tang, Guoliang Li:
Evaluating Public Anxiety for Topic-Based Communities in Social Networks. IEEE Trans. Knowl. Data Eng. 34(3): 1191-1205 (2022) - [j108]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. 34(6): 2886-2898 (2022) - [j107]Yuyu Luo, Nan Tang, Guoliang Li, Jiawei Tang, Chengliang Chai, Xuedi Qin:
Natural Language to Visualization by Neural Machine Translation. IEEE Trans. Vis. Comput. Graph. 28(1): 217-226 (2022) - [j106]Tianyu Zhao, Shuai Huang, Yong Wang, Chengliang Chai, Guoliang Li:
RNE: computing shortest paths using road network embedding. VLDB J. 31(3): 507-528 (2022) - [c155]Rong Zhu, Ziniu Wu, Chengliang Chai, Andreas Pfadler, Bolin Ding, Guoliang Li, Jingren Zhou:
Learned Query Optimizer: At the Forefront of AI-Driven Databases. EDBT 2022: 1-4 - 2021
- [j105]Haitao Yuan, Guoliang Li:
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation. Data Sci. Eng. 6(1): 63-85 (2021) - [j104]Guoliang Li, Dong Deng, Ju Fan:
Preface. J. Comput. Sci. Technol. 36(4): 719-720 (2021) - [j103]Tongyu Liu, Ju Fan, Yinqing Luo, Nan Tang, Guoliang Li, Xiaoyong Du:
Adaptive Data Augmentation for Supervised Learning over Missing Data. Proc. VLDB Endow. 14(7): 1202-1214 (2021) - [j102]Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Samuel Madden, Mourad Ouzzani:
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation. Proc. VLDB Endow. 14(8): 1254-1261 (2021) - [j101]Lei Cao, Dongqing Xiao, Yizhou Yan, Samuel Madden, Guoliang Li:
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee. Proc. VLDB Endow. 14(12): 2755-2758 (2021) - [j100]Guoliang Li, Xuanhe Zhou, Ji Sun, Xiang Yu, Yue Han, Lianyuan Jin, Wenbo Li, Tianqing Wang, Shifu Li:
openGauss: An Autonomous Database System. Proc. VLDB Endow. 14(12): 3028-3041 (2021) - [j99]Guoliang Li, Xuanhe Zhou, Lei Cao:
Machine Learning for Databases. Proc. VLDB Endow. 14(12): 3190-3193 (2021) - [j98]Xuanhe Zhou, Guoliang Li, Chengliang Chai, Jianhua Feng:
A Learned Query Rewrite System using Monte Carlo Tree Search. Proc. VLDB Endow. 15(1): 46-58 (2021) - [j97]Jiayi Wang, Chengliang Chai, Jiabin Liu, Guoliang Li:
FACE: A Normalizing Flow based Cardinality Estimator. Proc. VLDB Endow. 15(1): 72-84 (2021) - [j96]Ji Sun, Jintao Zhang, Zhaoyan Sun, Guoliang Li, Nan Tang:
Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation. Proc. VLDB Endow. 15(1): 85-97 (2021) - [j95]Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo:
CrowdChart: Crowdsourced Data Extraction From Visualization Charts. IEEE Trans. Knowl. Data Eng. 33(11): 3537-3549 (2021) - [j94]Shuang Hao, Nan Tang, Guoliang Li, Jianhua Feng, Ning Wang:
Mis-categorized entities detection. VLDB J. 30(4): 515-536 (2021) - [j93]Ji Zhang, Ke Zhou, Guoliang Li, Yu Liu, Ming Xie, Bin Cheng, Jiashu Xing:
$\hbox {CDBTune}^{+}$: An efficient deep reinforcement learning-based automatic cloud database tuning system. VLDB J. 30(6): 959-987 (2021) - [c154]Guoliang Li, Xuanhe Zhou, Lei Cao:
Machine Learning for Databases. AIMLSystems 2021: 28:1-28:2 - [c153]Kaiyu Li, Guoliang Li, Yong Wang, Yan Huang, Zitao Liu, Zhongqin Wu:
CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling. ICDE 2021: 289-300 - [c152]Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng:
An Effective Joint Prediction Model for Travel Demands and Traffic Flows. ICDE 2021: 348-359 - [c151]Shuai Huang, Yong Wang, Tianyu Zhao, Guoliang Li:
A Learning-based Method for Computing Shortest Path Distances on Road Networks. ICDE 2021: 360-371 - [c150]Xuedi Qin, Chengliang Chai, Yuyu Luo, Tianyu Zhao, Nan Tang, Guoliang Li, Jianhua Feng, Xiang Yu, Mourad Ouzzani:
Ranking Desired Tuples by Database Exploration. ICDE 2021: 1973-1978 - [c149]Yue Han, Guoliang Li, Haitao Yuan, Ji Sun:
An Autonomous Materialized View Management System with Deep Reinforcement Learning. ICDE 2021: 2159-2164 - [c148]Yuyu Luo, Nan Tang, Guoliang Li, Chengliang Chai, Wenbo Li, Xuedi Qin:
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks. SIGMOD Conference 2021: 1235-1247 - [c147]Ji Sun, Guoliang Li, Nan Tang:
Learned Cardinality Estimation for Similarity Queries. SIGMOD Conference 2021: 1745-1757 - [c146]Guoliang Li, Xuanhe Zhou, Lei Cao:
AI Meets Database: AI4DB and DB4AI. SIGMOD Conference 2021: 2859-2866 - [e7]Guoliang Li, Zhanhuai Li, Stratos Idreos, Divesh Srivastava:
SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM 2021, ISBN 978-1-4503-8343-1 [contents] - [i21]Yuyu Luo, Jiawei Tang, Guoliang Li:
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task. CoRR abs/2112.12926 (2021) - 2020
- [j92]Jiasen Sun, Guoliang Li:
Designing a double auction mechanism for the re-allocation of emission permits. Ann. Oper. Res. 291(1): 847-874 (2020) - [j91]Yuyu Luo, Nan Tang, Guoliang Li, Wenbo Li, Tianyu Zhao, Xiang Yu:
DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data. IEEE Data Eng. Bull. 43(2): 121-132 (2020) - [j90]Chengliang Chai, Guoliang Li:
Human-in-the-loop Techniques in Machine Learning. IEEE Data Eng. Bull. 43(3): 37-52 (2020) - [j89]Yuanbing Li, Xian Wu, Yifei Jin, Jian Li, Guoliang Li:
Efficient Algorithms for Crowd-Aided Categorization. Proc. VLDB Endow. 13(8): 1221-1233 (2020) - [j88]Xuanhe Zhou, Ji Sun, Guoliang Li, Jianhua Feng:
Query Performance Prediction for Concurrent Queries using Graph Embedding. Proc. VLDB Endow. 13(9): 1416-1428 (2020) - [j87]Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du:
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration. Proc. VLDB Endow. 13(11): 1962-1975 (2020) - [j86]Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li:
VisClean: Interactive Cleaning for Progressive Visualization. Proc. VLDB Endow. 13(12): 2821-2824 (2020) - [j85]Yuyu Luo, Wenbo Li, Tianyu Zhao, Xiang Yu, Lixi Zhang, Guoliang Li, Nan Tang:
DeepTrack: Monitoring and Exploring Spatio-Temporal Data - A Case of Tracking COVID-19 -. Proc. VLDB Endow. 13(12): 2841-2844 (2020) - [j84]James Pan, Guoliang Li, Yong Wang:
Evaluating Ridesharing Algorithms using the Jargo Real-Time Stochastic Simulator. Proc. VLDB Endow. 13(12): 2905-2908 (2020) - [j83]Dong Yuan, Qi Li, Guoliang Li, Qian Wang, Kui Ren:
PriRadar: A Privacy-Preserving Framework for Spatial Crowdsourcing. IEEE Trans. Inf. Forensics Secur. 15: 299-314 (2020) - [j82]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) - [j81]Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
A Crowdsourcing Framework for Collecting Tabular Data. IEEE Trans. Knowl. Data Eng. 32(11): 2060-2074 (2020) - [j80]Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li:
Making data visualization more efficient and effective: a survey. VLDB J. 29(1): 93-117 (2020) - [j79]Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du:
A game-based framework for crowdsourced data labeling. VLDB J. 29(6): 1311-1336 (2020) - [j78]Ke Zhou, Yangtao Wang, Yu Liu, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao, Zhili Xiao:
A framework for image dark data assessment. World Wide Web 23(3): 2079-2105 (2020) - [c145]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) 2020: 269-281 - [c144]Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf:
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. EDBT/ICDT Workshops 2020 - [c143]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. ICDE 2020: 49-60 - [c142]Yuyu Luo, Chengliang Chai, Xuedi Qin, Nan Tang, Guoliang Li:
Interactive Cleaning for Progressive Visualization through Composite Questions. ICDE 2020: 733-744 - [c141]Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. ICDE 2020: 1117-1128 - [c140]Xiang Yu, Guoliang Li, Chengliang Chai, Nan Tang:
Reinforcement Learning with Tree-LSTM for Join Order Selection. ICDE 2020: 1297-1308 - [c139]Haitao Yuan, Guoliang Li, Ling Feng, Ji Sun, Yue Han:
Automatic View Generation with Deep Learning and Reinforcement Learning. ICDE 2020: 1501-1512 - [c138]Chengliang Chai, Guoliang Li, Ju Fan, Yuyu Luo:
Crowdsourcing-based Data Extraction from Visualization Charts. ICDE 2020: 1814-1817 - [c137]Shuang Hao, Chengliang Chai, Guoliang Li, Nan Tang, Ning Wang, Xiang Yu:
Outdated Fact Detection in Knowledge Bases. ICDE 2020: 1890-1893 - [c136]Guoliang Li, Guowu Yuan, Hao Zhou, Hao Wu, Chengming Tan, Liang Dong, Guannan Gao, Ming Wang:
Automatic Detection of Solar Radio Spectrum Based on Codebook Model. ICPCSEE (1) 2020: 447-460 - [c135]Chengliang Chai, Lei Cao, Guoliang Li, Jian Li, Yuyu Luo, Samuel Madden:
Human-in-the-loop Outlier Detection. SIGMOD Conference 2020: 19-33 - [c134]Zhaoqiang Chen, Qun Chen, Boyi Hou, Zhanhuai Li, Guoliang Li:
Towards Interpretable and Learnable Risk Analysis for Entity Resolution. SIGMOD Conference 2020: 1165-1180 - [c133]Haitao Yuan, Guoliang Li, Zhifeng Bao, Ling Feng:
Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter. SIGMOD Conference 2020: 2135-2149 - [c132]Xuedi Qin, Chengliang Chai, Yuyu Luo, Nan Tang, Guoliang Li:
Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries. SIGMOD Conference 2020: 2745-2748 - [c131]Yan Zhuang, Guoliang Li, Wanguo Xue, Fu Zhu:
An Active Learning Based Hybrid Neural Network for Joint Information Extraction. WISE (2) 2020: 84-100 - [i20]Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, J. Shane Culpepper:
Temporal Network Representation Learning via Historical Neighborhoods Aggregation. CoRR abs/2003.13212 (2020) - [i19]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR abs/2005.07845 (2020) - [i18]Ju Fan, Tongyu Liu, Guoliang Li, Junyou Chen, Yuwei Shen, Xiaoyong Du:
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration. CoRR abs/2008.12763 (2020) - [i17]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR abs/2009.11222 (2020) - [i16]Nan Tang, Ju Fan, Fangyi Li, Jianhong Tu, Xiaoyong Du, Guoliang Li, Sam Madden, Mourad Ouzzani:
Relational Pretrained Transformers towards Democratizing Data Preparation [Vision]. CoRR abs/2012.02469 (2020)
2010 – 2019
- 2019
- [j77]Guoliang Li, João Gama, Jun Yang:
Special Issue of DASFAA 2019. Data Sci. Eng. 4(3): 177-178 (2019) - [j76]Guoliang Li:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 42(2): 2 (2019) - [j75]Guoliang Li, Xuanhe Zhou, Sihao Li:
XuanYuan: An AI-Native Database. IEEE Data Eng. Bull. 42(2): 70-81 (2019) - [j74]Na Ta, Guoliang Li, Jun Hu, Jianhua Feng:
Location and Trajectory Identification from Microblogs. J. Comput. Sci. Technol. 34(4): 727-746 (2019) - [j73]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) - [j72]James Pan, Guoliang Li, Juntao Hu:
Ridesharing: Simulator, Benchmark, and Evaluation. Proc. VLDB Endow. 12(10): 1085-1098 (2019) - [j71]Yong Wang, Guoliang Li, Nan Tang:
Querying Shortest Paths on Time Dependent Road Networks. Proc. VLDB Endow. 12(11): 1249-1261 (2019) - [j70]Guoliang Li, Xuanhe Zhou, Shifu Li, Bo Gao:
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning. Proc. VLDB Endow. 12(12): 2118-2130 (2019) - [j69]Ji Sun, Guoliang Li:
An End-to-End Learning-based Cost Estimator. Proc. VLDB Endow. 13(3): 307-319 (2019) - [j68]Kaiyu Li, Yong Zhang, Guoliang Li, Wenbo Tao, Ying Yan:
Bounded Approximate Query Processing. IEEE Trans. Knowl. Data Eng. 31(12): 2262-2276 (2019) - [c130]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI 2019: 662 - [c129]Jianjun Chen, Yu Chen, Zhibiao Chen, Ahmad Ghazal, Guoliang Li, Sihao Li, Weijie Ou, Yang Sun, Mingyi Zhang, Minqi Zhou:
Data Management at Huawei: Recent Accomplishments and Future Challenges. ICDE 2019: 13-24 - [c128]Dong Deng, Wenbo Tao, Ziawasch Abedjan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Unsupervised String Transformation Learning for Entity Consolidation. ICDE 2019: 196-207 - [c127]Songrui Wu, Qi Li, Guoliang Li, Dong Yuan, Xingliang Yuan, Cong Wang:
ServeDB: Secure, Verifiable, and Efficient Range Queries on Outsourced Database. ICDE 2019: 626-637 - [c126]Haitao Yuan, Guoliang Li:
Distributed In-memory Trajectory Similarity Search and Join on Road Network. ICDE 2019: 1262-1273 - [c125]Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng:
Crowdsourcing Database Systems: Overview and Challenges. ICDE 2019: 2052-2055 - [c124]Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, Zekang Li:
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. SIGMOD Conference 2019: 415-432 - [c123]Yufei Tao, Yuanbing Li, Guoliang Li:
Interactive Graph Search. SIGMOD Conference 2019: 1393-1410 - [c122]Haoda Li, Guoliang Li, Jiayang Liu, Haitao Yuan, Haiquan Wang:
Ratel: Interactive Analytics for Large Scale Trajectories. SIGMOD Conference 2019: 1949-1952 - [c121]Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du:
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling. SIGMOD Conference 2019: 1957-1960 - [c120]Nan Tang, Eugene Wu, Guoliang Li:
Towards Democratizing Relational Data Visualization. SIGMOD Conference 2019: 2025-2030 - [e6]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11446, Springer 2019, ISBN 978-3-030-18575-6 [contents] - [e5]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11447, Springer 2019, ISBN 978-3-030-18578-7 [contents] - [e4]Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part III, and DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings. Lecture Notes in Computer Science 11448, Springer 2019, ISBN 978-3-030-18589-3 [contents] - [i15]Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp:
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CoRR abs/1905.04616 (2019) - [i14]Ji Sun, Guoliang Li:
An End-to-End Learning-based Cost Estimator. CoRR abs/1906.02560 (2019) - [i13]Ji Sun, Dong Deng, Ihab F. Ilyas, Guoliang Li, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang:
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation. CoRR abs/1906.06574 (2019) - [i12]Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian:
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. CoRR abs/1911.01030 (2019) - [i11]Zhaoqiang Chen, Qun Chen, Boyi Hou, Tianyi Duan, Zhanhuai Li, Guoliang Li:
Towards Interpretable and Learnable Risk Analysis for Entity Resolution. CoRR abs/1912.02947 (2019) - 2018
- [j67]Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li:
DeepEye: An automatic big data visualization framework. Big Data Min. Anal. 1(1): 75-82 (2018) - [j66]Kaiyu Li, Guoliang Li:
Approximate Query Processing: What is New and Where to Go? - A Survey on Approximate Query Processing. Data Sci. Eng. 3(4): 379-397 (2018) - [j65]Guoliang Li:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 41(2): 2 (2018) - [j64]Ju Fan, Guoliang Li:
Human-in-the-loop Rule Learning for Data Integration. IEEE Data Eng. Bull. 41(2): 104-115 (2018) - [j63]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jin-Peng Huai:
Context-aware result inference in crowdsourcing. Inf. Sci. 460-461: 346-363 (2018) - [j62]Siqiang Luo, Ben Kao, Guoliang Li, Jiafeng Hu, Reynold Cheng, Yudian Zheng:
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks. Proc. VLDB Endow. 11(5): 594-606 (2018) - [j61]Guoliang Li, Chengliang Chai, Ju Fan, Xueping Weng, Jian Li, Yudian Zheng, Yuanbing Li, Xiang Yu, Xiaohang Zhang, Haitao Yuan:
CDB: A Crowd-Powered Database System. Proc. VLDB Endow. 11(12): 1926-1929 (2018) - [j60]Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du:
Cost-Effective Data Annotation using Game-Based Crowdsourcing. Proc. VLDB Endow. 12(1): 57-70 (2018) - [j59]Na Ta, Guoliang Li, Tianyu Zhao, Jianhua Feng, Hanchao Ma, Zhiguo Gong:
An Efficient Ride-Sharing Framework for Maximizing Shared Route. IEEE Trans. Knowl. Data Eng. 30(2): 219-233 (2018) - [j58]Sen Su, Yiping Teng, Xiang Cheng, Ke Xiao, Guoliang Li, Junliang Chen:
Privacy-Preserving Top-k Spatial Keyword Queries in Untrusted Cloud Environments. IEEE Trans. Serv. Comput. 11(5): 796-809 (2018) - [j57]Shuang Hao, Nan Tang, Guoliang Li, Jian Li, Jianhua Feng:
Distilling relations using knowledge bases. VLDB J. 27(4): 497-519 (2018) - [j56]Chengliang Chai, Guoliang Li, Jian Li, Dong Deng, Jianhua Feng:
A partial-order-based framework for cost-effective crowdsourced entity resolution. VLDB J. 27(6): 745-770 (2018) - [c119]Na Ta, Jiuqi Wang, Guoliang Li:
Map Matching Algorithms: An Experimental Evaluation. APWeb/WAIM (2) 2018: 182-198 - [c118]San Kim, Guoliang Li, Jianhua Feng, Kaiyu Li:
Web Table Understanding by Collective Inference. CIKM 2018: 217-226 - [c117]Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li:
DeepEye: Visualizing Your Data by Keyword Search. EDBT 2018: 441-444 - [c116]Yuyu Luo, Xuedi Qin, Nan Tang, Guoliang Li:
DeepEye: Towards Automatic Data Visualization. ICDE 2018: 101-112 - [c115]Chengliang Chai, Ju Fan, Guoliang Li:
Incentive-Based Entity Collection Using Crowdsourcing. ICDE 2018: 341-352 - [c114]Shuang Hao, Nan Tang, Guoliang Li, Jianhua Feng:
Discovering Mis-Categorized Entities. ICDE 2018: 413-424 - [c113]Caihua Shan, Nikos Mamoulis, Guoliang Li, Reynold Cheng, Zhipeng Huang, Yudian Zheng:
T-Crowd: Effective Crowdsourcing for Tabular Data. ICDE 2018: 1316-1319 - [c112]