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Gao Cong
丛高
Person information

- unicode name: 丛高
- affiliation: Nanyang Technological University, Singapore
- affiliation: Aalborg University, Department of Computer Science, Denmark
- affiliation: Microsoft Research Asia
- affiliation: University of Edinburgh, School of Informatics, UK
- affiliation: National University of Singapore, Department of Computer Science
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2020 – today
- 2022
- [j65]Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao:
QueryFormer: A Tree Transformer Model for Query Plan Representation. Proc. VLDB Endow. 15(8): 1658-1670 (2022) - [j64]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) - [j63]Guangtao Wang
, Gao Cong, Ying Zhang
, Zhen Hai, Jieping Ye:
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data 16(2): 29:1-29:30 (2022) - [j62]Kaiqi Zhao
, Gao Cong
, Xiucheng Li:
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. 34(2): 881-893 (2022) - [j61]Daniel Rugeles
, Zhen Hai
, Manoranjan Dash, Gao Cong
:
Deterministic Inference of Topic Models via Maximal Latent State Replication. IEEE Trans. Knowl. Data Eng. 34(4): 1684-1695 (2022) - [c137]Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma:
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. EDBT 2022: 2:247-2:259 - [c136]Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv:
Entity Resolution with Hierarchical Graph Attention Networks. SIGMOD Conference 2022: 429-442 - [c135]Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu:
DMCS : Density Modularity based Community Search. SIGMOD Conference 2022: 889-903 - [c134]Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He:
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. SIGMOD Conference 2022: 1542-1555 - [c133]Jin Yao Chin, Yile Chen, Gao Cong:
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM 2022: 141-149 - [c132]Pasquale Balsebre, Dezhong Yao
, Gao Cong, Zhen Hai:
Geospatial Entity Resolution. WWW 2022: 3061-3070 - [i22]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) - [i21]Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu:
DMCS : Density Modularity based Community Search. CoRR abs/2204.07720 (2022) - 2021
- [j60]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 (2021) - [j59]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) - [j58]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 15(4): 752-765 (2021) - [j57]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) - [j56]Zhida Chen, Lisi Chen, Gao Cong
, Christian S. Jensen:
Location- and keyword-based querying of geo-textual data: a survey. VLDB J. 30(4): 603-640 (2021) - [c131]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 - [c130]Zhida Chen, Gao Cong, Walid G. Aref:
STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams. SIGSPATIAL/GIS 2021: 606-615 - [c129]Zheng Wang, Cheng Long, Gao Cong:
Trajectory Simplification with Reinforcement Learning. ICDE 2021: 684-695 - [c128]Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang:
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. KDD 2021: 1758-1768 - [c127]Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. SIGMOD Conference 2021: 2009-2022 - [c126]Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong:
Sinkhorn Collaborative Filtering. WWW 2021: 582-592 - [e3]Gao Cong, Maya Ramanath:
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Gold Coast, Queensland, Australia, November 1-5, 2021. CEUR Workshop Proceedings 3052, CEUR-WS.org 2021 [contents] - [i20]Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang:
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. CoRR abs/2103.04541 (2021) - [i19]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. CoRR abs/2106.05081 (2021) - [i18]Peizhi Wu, Gao Cong:
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. CoRR abs/2107.12295 (2021) - [i17]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) - [i16]Yuxing Han, Ziniu Wu, Peizhi Wu, Rong Zhu, Jingyi Yang, Liang Wei Tan, Kai Zeng, Gao Cong, Yanzhao Qin, Andreas Pfadler, Zhengping Qian, Jingren Zhou, Jiangneng Li, Bin Cui:
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR abs/2109.05877 (2021) - 2020
- [j55]Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng
, Binbin Chen, Gao Cong, Xiaoli Li
:
Modeling Marked Temporal Point Process Using Multi-relation Structure RNN. Cogn. Comput. 12(3): 499-512 (2020) - [j54]Yue Chen, Zhida Chen, Gao Cong, Ahmed R. Mahmood, Walid G. Aref:
SSTD: A Distributed System on Streaming Spatio-Textual Data. Proc. VLDB Endow. 13(11): 2284-2296 (2020) - [j53]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. 13(11): 2312-2325 (2020) - [j52]Kaiyu Feng, Tao Guo, Gao Cong
, Sourav S. Bhowmick
, Shuai Ma
:
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. IEEE Trans. Knowl. Data Eng. 32(11): 2254-2268 (2020) - [c125]Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang:
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. CIKM 2020: 915-924 - [c124]Xiucheng Li, Gao Cong, Yun Cheng:
Spatial Transition Learning on Road Networks with Deep Probabilistic Models. ICDE 2020: 349-360 - [c123]Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
:
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE 2020: 949-960 - [c122]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li
, Xianling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 169-178 - [c121]Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li:
HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. SIGIR 2020: 1429-1438 - [c120]Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Murtaza Choudhury:
Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. SIGMOD Conference 2020: 2199-2209 - [c119]Zhida Chen, Gao Cong, Walid G. Aref:
STAR: A Distributed Stream Warehouse System for Spatial Data. SIGMOD Conference 2020: 2761-2764 - [c118]Yile Chen, Cheng Long, Gao Cong, Chenliang Li:
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM 2020: 106-114 - [c117]Lucas Vinh Tran, Yi Tay, Shuai Zhang
, Gao Cong, Xiaoli Li
:
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM 2020: 609-617 - [i15]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. CoRR abs/2003.02542 (2020) - [i14]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong:
A Survey on Trajectory Data Management, Analytics, and Learning. CoRR abs/2003.11547 (2020) - [i13]Ziyang Wang, Wei Wei
, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng:
Exploring Global Information for Session-based Recommendation. CoRR abs/2011.10173 (2020) - [i12]Ziyang Wang, Wei Wei
, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng:
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation. CoRR abs/2012.05422 (2020)
2010 – 2019
- 2019
- [j51]Xiuzhen Zhang
, Shuliang Wang
, Gao Cong, Alfredo Cuzzocrea:
Social Big Data: Mining, Applications, and Beyond. Complex. 2019: 2059075:1-2059075:2 (2019) - [j50]Kaiyu Feng, Gao Cong, Christian S. Jensen, Tao Guo:
Finding Attribute-Aware Similar Region for Data Analysis. Proc. VLDB Endow. 12(11): 1414-1426 (2019) - [j49]Kaiqi Zhao
, Gao Cong, Jin Yao Chin, Rong Wen:
Exploring market competition over topics in spatio-temporal document collections. VLDB J. 28(1): 123-145 (2019) - [j48]Yixiang Fang
, Yun Li
, Reynold Cheng, Nikos Mamoulis, Gao Cong:
Evaluating pattern matching queries for spatial databases. VLDB J. 28(5): 649-673 (2019) - [c116]Di Yao, Gao Cong, Chao Zhang
, Jingping Bi:
Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. ICDE 2019: 1358-1369 - [c115]Zheng Wang, Cheng Long, Gao Cong, Ce Ju:
Effective and Efficient Sports Play Retrieval with Deep Representation Learning. KDD 2019: 499-509 - [c114]Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
:
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR 2019: 255-264 - [c113]Xiucheng Li, Gao Cong, Aixin Sun
, Yun Cheng:
Learning Travel Time Distributions with Deep Generative Model. WWW 2019: 1017-1027 - [r2]Gao Cong, Christian S. Jensen:
Spatio-Textual Data. Encyclopedia of Big Data Technologies 2019 - [i11]Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang:
Interaction-aware Kalman Neural Networks for Trajectory Prediction. CoRR abs/1902.10928 (2019) - 2018
- [j47]Miao Xie
, Sourav S. Bhowmick
, Hao Su, Gao Cong
, Wook-Shin Han:
PANDA: A System for Partial Topology-based Search on Large Networks. Proc. VLDB Endow. 11(12): 1966-1969 (2018) - [j46]Jialong Han
, Aixin Sun
, Gao Cong
, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
:
Linking Fine-Grained Locations in User Comments. IEEE Trans. Knowl. Data Eng. 30(1): 59-72 (2018) - [j45]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) - [c112]Jin Yao Chin, Kaiqi Zhao
, Shafiq R. Joty, Gao Cong
:
ANR: Aspect-based Neural Recommender. CIKM 2018: 147-156 - [c111]Yixiang Fang
, Reynold Cheng, Gao Cong
, Nikos Mamoulis, Yun Li
:
On Spatial Pattern Matching. ICDE 2018: 293-304 - [c110]Xiucheng Li, Kaiqi Zhao
, Gao Cong
, Christian S. Jensen, Wei Wei
:
Deep Representation Learning for Trajectory Similarity Computation. ICDE 2018: 617-628 - [c109]Shanshan Feng, Gao Cong
, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee:
Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE 2018: 941-952 - [c108]Kaiyu Feng, Tao Guo, Gao Cong
, Sourav S. Bhowmick
, Shuai Ma:
SURGE: Continuous Detection of Bursty Regions over a Stream of Spatial Objects. ICDE 2018: 1292-1295 - [c107]Yixiang Fang
, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong
, Nikos Mamoulis:
SpaceKey: Exploring Patterns in Spatial Databases. ICDE 2018: 1577-1580 - [c106]Jialong Han, Aixin Sun
, Gao Cong
, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan:
Linking Fine-Grained Locations in User Comments (Extended Abstract). ICDE 2018: 1763-1764 - [c105]Sheng Wang, Zhifeng Bao
, J. Shane Culpepper, Timos Sellis
, Gao Cong
:
Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract). ICDE 2018: 1785-1786 - [c104]Dezhong Yao
, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong:
High-dimensional Similarity Learning via Dual-sparse Random Projection. IJCAI 2018: 3005-3011 - [c103]Ali Zonoozi, Jung-jae Kim, Xiao-Li Li
, Gao Cong:
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. IJCAI 2018: 3732-3738 - [c102]Yiding Liu, Kaiqi Zhao
, Gao Cong
:
Efficient Similar Region Search with Deep Metric Learning. KDD 2018: 1850-1859 - [c101]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 - [c100]Xiangyu Ke, Arijit Khan, Gao Cong
:
Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference 2018: 1097-1111 - [c99]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 - [e2]Junhu Wang, Gao Cong, Jinjun Chen, Jianzhong Qi:
Databases Theory and Applications - 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, Proceedings. Lecture Notes in Computer Science 10837, Springer 2018, ISBN 978-3-319-92012-2 [contents] - [r1]Kaiqi Zhao, Quan Yuan, Gao Cong:
Spatiotemporal Topic Detection from Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i10]Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash:
Heron Inference for Bayesian Graphical Models. CoRR abs/1802.06526 (2018) - [i9]Tran Dang Quang Vinh, Tuan-Anh Nguyen Pham, Gao Cong, Xiao-Li Li:
Attention-based Group Recommendation. CoRR abs/1804.04327 (2018) - [i8]Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
:
Hyperbolic Recommender Systems. CoRR abs/1809.01703 (2018) - [i7]Zheng Wang
, Ce Ju, Gao Cong, Cheng Long:
Representation Learning for Spatial Graphs. CoRR abs/1812.06668 (2018) - 2017
- [j44]Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong
, Quan Yuan:
An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks. Proc. VLDB Endow. 10(10): 1010-1021 (2017) - [j43]Long Guo, Dongxiang Zhang, Gao Cong
, Wei Wu, Kian-Lee Tan
:
Influence Maximization in Trajectory Databases. IEEE Trans. Knowl. Data Eng. 29(3): 627-641 (2017) - [j42]Zhen Hai, Gao Cong
, Kuiyu Chang, Peng Cheng, Chunyan Miao
:
Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach. IEEE Trans. Knowl. Data Eng. 29(6): 1172-1185 (2017) - [j41]Xutao Li, Michael K. Ng, Gao Cong
, Yunming Ye, Qingyao Wu:
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1787-1800 (2017) - [j40]Miao Xie
, Sourav S. Bhowmick
, Gao Cong
, Qing Wang:
PANDA: toward partial topology-based search on large networks in a single machine. VLDB J. 26(2): 203-228 (2017) - [c98]Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee:
POI2Vec: Geographical Latent Representation for Predicting Future Visitors. AAAI 2017: 102-108 - [c97]Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li:
A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC. EMNLP 2017: 2768-2773 - [c96]Long Guo, Dongxiang Zhang, Gao Cong
, Wei Wu, Kian-Lee Tan
:
Influence Maximization in Trajectory Databases. ICDE 2017: 27-28 - [c95]Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong
, Jinpeng Huai:
Proxies for Shortest Path and Distance Queries. ICDE 2017: 61-62 - [c94]Zhida Chen, Gao Cong
, Zhenjie Zhang, Tom Z. J. Fu, Lisi Chen:
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream. ICDE 2017: 1095-1106 - [c93]Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo
, Wei Long, Hai Zhen, Gao Cong
, Jieping Ye:
Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops 2017: 858-865 - [c92]Xiucheng Li, Yun Cheng, Gao Cong
, Lisi Chen:
Discovering Pollution Sources and Propagation Patterns in Urban Area. KDD 2017: 1863-1872 - [c91]Daniel Rugeles, Kaiqi Zhao
, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy:
Biclustering: An application of Dual Topic Models. SDM 2017: 453-461 - [c90]Tao Guo, Xin Cao
, Gao Cong
, Jiaheng Lu
, Xuemin Lin
:
Distributed Algorithms on Exact Personalized PageRank. SIGMOD Conference 2017: 479-494 - [c89]Quan Yuan, Wei Zhang, Chao Zhang
, Xinhe Geng, Gao Cong
, Jiawei Han:
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM 2017: 263-272 - [c88]Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong
:
A General Model for Out-of-town Region Recommendation. WWW 2017: 401-410 - [e1]Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun:
Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings. Lecture Notes in Computer Science 10604, Springer 2017, ISBN 978-3-319-69178-7 [contents] - [i6]Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos K. Sellis
, Gao Cong:
Reverse k Nearest Neighbor Search over Trajectories. CoRR abs/1704.03978 (2017) - [i5]Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma:
SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. CoRR abs/1709.09287 (2017) - 2016
- [j39]Yifeng Zeng, Xuefeng Chen, Gao Cong
, Shengchao Qin
, Jing Tang, Yanping Xiang:
Maximizing influence under influence loss constraint in social networks. Expert Syst. Appl. 55: 255-267 (2016) - [j38]Kaiqi Zhao
, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong:
Towards Personalized Maps: Mining User Preferences from Geo-textual Data. Proc. VLDB Endow. 9(13): 1545-1548 (2016) - [j37]Kaiyu Feng, Kaiqi Zhao
, Yiding Liu, Gao Cong:
A System for Region Search and Exploration. Proc. VLDB Endow. 9(13): 1549-1552 (2016) - [j36]Wei Wei
, Gao Cong
, Chunyan Miao
, Feida Zhu
, Guohui Li:
Learning to Find Topic Experts in Twitter via Different Relations. IEEE Trans. Knowl. Data Eng. 28(7): 1764-1778 (2016) - [j35]Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong
, Jinpeng Huai:
Proxies for Shortest Path and Distance Queries. IEEE Trans. Knowl. Data Eng. 28(7): 1835-1850 (2016) - [j34]Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong
, Zhenjie Zhang:
A General Recommendation Model for Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 28(12): 3140-3153 (2016) - [c87]Kaiqi Zhao
, Gao Cong
, Aixin Sun
:
Annotating Points of Interest with Geo-tagged Tweets. CIKM 2016: 417-426 - [c86]Miao Li, Lisi Chen, Gao Cong
, Yu Gu, Ge Yu:
Efficient Processing of Location-Aware Group Preference Queries. CIKM 2016: 559-568 - [c85]Gao Cong
, Kaiyu Feng, Kaiqi Zhao
:
Querying and mining geo-textual data for exploration: Challenges and opportunities. ICDE Workshops 2016: 165-168 - [c84]Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong:
ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. ICDM 2016: 759-768 - [c83]Kaiqi Zhao
, Lisi Chen, Gao Cong
:
Topic Exploration in Spatio-Temporal Document Collections. SIGMOD Conference 2016: 985-998 - [c82]Kaiyu Feng, Gao Cong
, Sourav S. Bhowmick
, Wen-Chih Peng, Chunyan Miao
:
Towards Best Region Search for Data Exploration. SIGMOD Conference 2016: 1055-1070 - [c81]Gao Cong
, Christian S. Jensen:
Querying Geo-Textual Data: Spatial Keyword Queries and Beyond. SIGMOD Conference 2016: 2207-2212 - [c80]Zongcheng Ji, Aixin Sun
, Gao Cong
, Jialong Han:
Joint Recognition and Linking of Fine-Grained Locations from Tweets. WWW 2016: 1271-1281 - [i4]Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Z. J. Fu, Lisi Chen:
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream. CoRR abs/1612.02564 (2016) - 2015
- [j33]Zhen Hai, Kuiyu Chang, Gao Cong
, Christopher C. Yang:
An Association-Based Unified Framework for Mining Features and Opinion Words. ACM Trans. Intell. Syst. Technol. 6(2): 26:1-26:21 (2015) - [j32]