Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDGao 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]