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ORCIDGao Cong
丛高
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- 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
- 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 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]Xin Cao, Gao Cong, Tao Guo, Christian S. Jensen, Beng Chin Ooi:
Efficient Processing of Spatial Group Keyword Queries. ACM Trans. Database Syst. 40(2): 13:1-13:48 (2015) - [j31]Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun:
Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users. ACM Trans. Inf. Syst. 33(1): 2:1-2:33 (2015) - [c79]Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai:
On Information Coverage for Location Category Based Point-of-Interest Recommendation. AAAI 2015: 37-43 - [c78]Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
A Tri-Role Topic Model for Domain-Specific Question Answering. AAAI 2015: 224-230 - [c77]Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li:
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. AAAI 2015: 318-324 - [c76]Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo:
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization. AAAI 2015: 346-352 - [c75]Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li, Shonali Krishnaswamy:
Where you Instagram?: Associating Your Instagram Photos with Points of Interest. CIKM 2015: 1231-1240 - [c74]Ying Lu, Gao Cong, Jiaheng Lu, Cyrus Shahabi:
Efficient algorithms for answering reverse spatial-keyword nearest neighbor queries. SIGSPATIAL/GIS 2015: 82:1-82:4 - [c73]Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan:
Temporal Spatial-Keyword Top-k publish/subscribe. ICDE 2015: 255-266 - [c72]Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang:
A general graph-based model for recommendation in event-based social networks. ICDE 2015: 567-578 - [c71]Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu:
SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews. ICDE 2015: 675-686 - [c70]Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan:
Personalized Ranking Metric Embedding for Next New POI Recommendation. IJCAI 2015: 2069-2075 - [c69]Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy:
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation. SIGIR 2015: 433-442 - [c68]Lisi Chen, Gao Cong:
Diversity-Aware Top-k Publish/Subscribe for Text Stream. SIGMOD Conference 2015: 347-362 - [c67]Tao Guo, Xin Cao, Gao Cong:
Efficient Algorithms for Answering the m-Closest Keywords Query. SIGMOD Conference 2015: 405-418 - 2014
- [j30]Kelvin Sim, Vivekanand Gopalkrishnan, Clifton Phua, Gao Cong:
3D Subspace Clustering for Value Investing. IEEE Intell. Syst. 29(2): 52-59 (2014) - [j29]Bo Liu, Quan Yuan, Gao Cong, Dong Xu:
Where your photo is taken: Geolocation prediction for social images. J. Assoc. Inf. Sci. Technol. 65(6): 1232-1243 (2014) - [j28]Xin Cao, Gao Cong, Christian S. Jensen, Man Lung Yiu:
Retrieving Regions of Interest for User Exploration. Proc. VLDB Endow. 7(9): 733-744 (2014) - [j27]Lisi Chen, Yan Cui, Gao Cong, Xin Cao:
SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe. Proc. VLDB Endow. 7(13): 1601-1604 (2014) - [j26]Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu:
Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. 26(5): 1117-1130 (2014) - [j25]Bo Liu, Gao Cong, Yifeng Zeng, Dong Xu, Yeow Meng Chee:
Influence Spreading Path and Its Application to the Time Constrained Social Influence Maximization Problem and Beyond. IEEE Trans. Knowl. Data Eng. 26(8): 1904-1917 (2014) - [j24]Ying Lu, Jiaheng Lu, Gao Cong, Wei Wu, Cyrus Shahabi:
Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neighbor Search. ACM Trans. Database Syst. 39(2): 13:1-13:46 (2014) - [c66]Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang:
Influence Maximization with Novelty Decay in Social Networks. AAAI 2014: 37-43 - [c65]Quan Yuan, Gao Cong, Aixin Sun:
Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences. CIKM 2014: 659-668 - [c64]Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter. CIKM 2014: 999-1008 - [c63]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
Distributed Spatial Keyword Querying on Road Networks. EDBT 2014: 235-246 - [c62]Quan Yuan, Gao Cong, Chin-Yew Lin:
COM: a generative model for group recommendation. KDD 2014: 163-172 - [c61]Zhen Hai, Gao Cong, Kuiyu Chang, Wenting Liu, Peng Cheng:
Coarse-to-fine review selection via supervised joint aspect and sentiment model. SIGIR 2014: 617-626 - [c60]Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Shuai Ma:
In search of influential event organizers in online social networks. SIGMOD Conference 2014: 63-74 - 2013
- [j23]Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong:
A survey on enhanced subspace clustering. Data Min. Knowl. Discov. 26(2): 332-397 (2013) - [j22]Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence:
Novel document detection for massive data streams using distributed dictionary learning. IBM J. Res. Dev. 57(3/4): 9 (2013) - [j21]Zongyang Ma, Aixin Sun, Gao Cong:
On predicting the popularity of newly emerging hashtags in Twitter. J. Assoc. Inf. Sci. Technol. 64(7): 1399-1410 (2013) - [j20]Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu:
Spatial Keyword Query Processing: An Experimental Evaluation. Proc. VLDB Endow. 6(3): 217-228 (2013) - [j19]Gao Cong, Jens Dittrich:
Front Matter. Proc. VLDB Endow. 7(2): i-ix (2013) - [j18]Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman:
Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25(6): 1213-1226 (2013) - [c59]