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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
2020 – today
- 2025
[j93]Zezhi Shao
, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 37(1): 291-305 (2025)- [i50]Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long:
DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph. CoRR abs/2502.07343 (2025) - 2024
- [j92]Weiming Huang, Jing Wang, Gao Cong:
Zero-shot urban function inference with street view images through prompting a pretrained vision-language model. Int. J. Geogr. Inf. Sci. 38(7): 1414-1442 (2024) - [j91]Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang:
BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data. Proc. ACM Manag. Data 2(4): 194:1-194:27 (2024) - [j90]Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong:
CAMAL: Optimizing LSM-trees via Active Learning. Proc. ACM Manag. Data 2(4): 202:1-202:26 (2024) - [j89]Haitao Yuan, Gao Cong, Guoliang Li:
Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. Proc. VLDB Endow. 17(7): 1605-1617 (2024) - [j88]Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi:
Trajectory Similarity Measurement: An Efficiency Perspective. Proc. VLDB Endow. 17(9): 2293-2306 (2024) - [j87]Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing:
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. Proc. VLDB Endow. 18(1): 53-65 (2024) - [j86]Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li, Gao Cong:
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction. ACM Trans. Knowl. Discov. Data 18(6): 148:1-148:26 (2024) - [j85]Xueqi Li, Guoqing Xiao, Yuedan Chen, Kenli Li, Gao Cong:
Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation. IEEE Trans. Knowl. Data Eng. 36(12): 7556-7568 (2024) - [j84]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c155]Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li:
City Foundation Models for Learning General Purpose Representations from OpenStreetMap. CIKM 2024: 87-97 - [c154]Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li:
On Evaluation Metrics for Diversity-enhanced Recommendations. CIKM 2024: 1286-1295 - [c153]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. EMNLP (Findings) 2024: 1810-1825 - [c152]Shang Liu, Gao Cong, Kaiqi Zhao:
Exploring User Preferences on Geographical Factors for Personalized POI Search. SIGSPATIAL/GIS 2024: 513-516 - [c151]Cuauhtemoc Anda, Ning Cao, Shuai Liu, Shaowei Ying, Gao Cong:
Personalized and On-device Trajectory Mobility Prediction. HuMob-Challenge@SIGSPATIAL 2024: 42-45 - [c150]Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong:
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. ICDE 2024: 1255-1268 - [c149]Xiaofan Li, Gao Cong, Rui Zhou:
Quantum Algorithms for the Maximum K-Plex Problem. ICDE 2024: 2435-2448 - [c148]Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE 2024: 4383-4395 - [c147]Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE 2024: 5048-5060 - [c146]Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. ICLR 2024 - [c145]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong:
Road Network Representation Learning with the Third Law of Geography. NeurIPS 2024 - [c144]Gao Cong, Jingyi Yang, Yue Zhao:
Machine Learning for Databases: Foundations, Paradigms, and Open problems. SIGMOD Conference Companion 2024: 622-629 - [c143]Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen:
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. WWW 2024: 3410-3419 - [c142]Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui:
MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. WWW 2024: 3454-3463 - [i49]Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR abs/2402.03784 (2024) - [i48]Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui:
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR abs/2403.07331 (2024) - [i47]Pasquale Balsebre, Weiming Huang, Gao Cong:
LAMP: A Language Model on the Map. CoRR abs/2403.09059 (2024) - [i46]Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long:
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR abs/2403.11495 (2024) - [i45]Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing:
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. CoRR abs/2404.12872 (2024) - [i44]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. CoRR abs/2406.04038 (2024) - [i43]Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong:
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. CoRR abs/2406.12282 (2024) - [i42]Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong:
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR abs/2406.12360 (2024) - [i41]Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong:
Self-supervised Learning for Geospatial AI: A Survey. CoRR abs/2408.12133 (2024) - [i40]Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong:
CAMAL: Optimizing LSM-trees via Active Learning. CoRR abs/2409.15130 (2024) - [i39]Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong:
nextlocllm: next location prediction using LLMs. CoRR abs/2410.09129 (2024) - [i38]Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu:
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR abs/2410.13196 (2024) - [i37]Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, Huaiyu Wan:
PTR: A Pre-trained Language Model for Trajectory Recovery. CoRR abs/2410.14281 (2024) - [i36]Jingge Xiao, Yile Chen, Gao Cong, Wolfgang Nejdl, Simon Gottschalk:
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities. CoRR abs/2410.23160 (2024) - [i35]Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li:
CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation. CoRR abs/2411.00744 (2024) - 2023
- [j83]Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, Fuzheng Zhang:
Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries. Proc. ACM Manag. Data 1(1): 11:1-11:25 (2023) - [j82]Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang:
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. Proc. ACM Manag. Data 1(1): 63:1-63:26 (2023) - [j81]Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, Zhen Hai:
Mining Geospatial Relationships from Text. Proc. ACM Manag. Data 1(1): 93:1-93:26 (2023) - [j80]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data 1(2): 187:1-187:27 (2023) - [j79]Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao:
Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proc. ACM Manag. Data 1(4): 247:1-247:26 (2023) - [j78]Jingyi Yang, Gao Cong:
PLATON: Top-down R-tree Packing with Learned Partition Policy. Proc. ACM Manag. Data 1(4): 253:1-253:26 (2023) - [j77]Zizhong Meng, Xin Cao, Gao Cong:
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data 1(4): 261:1-261:26 (2023) - [j76]Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui:
Towards Designing and Learning Piecewise Space-Filling Curves. Proc. VLDB Endow. 16(9): 2158-2171 (2023) - [j75]Yile Chen, Gao Cong, Cuauhtemoc Anda:
TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. 17(3): 414-426 (2023) - [j74]Yue Zhao, Zhaodonghui Li, Gao Cong:
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies. Proc. VLDB Endow. 17(4): 823-835 (2023) - [j73]Zheng Wang, Cheng Long, Gao Cong:
Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4253-4266 (2023) - [j72]Liang Zhang, Cheng Long, Gao Cong:
Region Embedding With Intra and Inter-View Contrastive Learning. IEEE Trans. Knowl. Data Eng. 35(9): 9031-9036 (2023) - [j71]Zhida Chen, Gao Cong, Walid G. Aref:
STAR: A Cache-based Stream Warehouse System for Spatial Data. ACM Trans. Spatial Algorithms Syst. 9(4): 28:1-28:27 (2023) - [c141]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE 2023: 246-258 - [c140]Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang:
Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR 2023 - [c139]Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang:
Urban Region Representation Learning with OpenStreetMap Building Footprints. KDD 2023: 1363-1373 - [i34]Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong:
Improving the Inference of Topic Models via Infinite Latent State Replications. CoRR abs/2301.12974 (2023) - [i33]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. CoRR abs/2302.14287 (2023) - [i32]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i31]Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li:
CityFM: City Foundation Models to Solve Urban Challenges. CoRR abs/2310.00583 (2023) - [i30]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - [i29]Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen:
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. CoRR abs/2310.13921 (2023) - [i28]Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi:
Trajectory Similarity Measurement: An Efficiency Perspective. CoRR abs/2311.00960 (2023) - [i27]Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. CoRR abs/2311.11204 (2023) - [i26]Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR abs/2312.14394 (2023) - 2022
- [j70]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) - [j69]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) - [j68]Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao:
ABC: Attributed Bipartite Co-clustering. Proc. VLDB Endow. 15(10): 2134-2147 (2022) - [j67]Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah:
Example-based Spatial Pattern Matching. Proc. VLDB Endow. 15(11): 2572-2584 (2022) - [j66]Jiachen Shi, Gao Cong, Xiaoli Li:
Learned Index Benefits: Machine Learning Based Index Performance Estimation. Proc. VLDB Endow. 15(13): 3950-3962 (2022) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi:
A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. IEEE Trans. Knowl. Data Eng. 34(10): 4554-4571 (2022) - [j60]Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong:
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 34(11): 5415-5428 (2022) - [c138]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 - [c137]Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi:
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD 2022: 2275-2285 - [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 - [i25]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) - [i24]Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu:
DMCS : Density Modularity based Community Search. CoRR abs/2204.07720 (2022) - [i23]Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong:
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR abs/2210.07715 (2022) - [i22]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR abs/2211.08415 (2022) - [i21]Liang Zhang, Cheng Long, Gao Cong:
Region Embedding with Intra and Inter-View Contrastive Learning. CoRR abs/2211.08975 (2022) - 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]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]Yaqiong Liu, Hock Soon Seah, Gao Cong:
Efficient proximity detection among mobile objects in road networks with self-adjustment methods. SIGSPATIAL/GIS 2013: 124-133 - [c58]Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao:
KORS: Keyword-aware Optimal Route Search System. ICDE 2013: 1340-1343 - [c57]Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann:
Who, where, when and what: discover spatio-temporal topics for twitter users. KDD 2013: 605-613 - [c56]Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann:
Time-aware point-of-interest recommendation. SIGIR 2013: 363-372 - [c55]Lisi Chen, Gao Cong, Xin Cao:
An efficient query indexing mechanism for filtering geo-textual data. SIGMOD Conference 2013: 749-760 - 2012
- [j17]Bo Qu, Gao Cong, Cuiping Li, Aixin Sun, Hong Chen:
An evaluation of classification models for question topic categorization. J. Assoc. Inf. Sci. Technol. 63(5): 889-903 (2012) - [j16]Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen:
Extracting representative motion flows for effective video retrieval. Multim. Tools Appl. 58(3): 687-711 (2012) - [j15]Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. Proc. VLDB Endow. 5(5): 406-417 (2012) - [j14]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. Proc. VLDB Endow. 5(11): 1136-1147 (2012) - [j13]Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu:
SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects. Proc. VLDB Endow. 5(12): 1914-1917 (2012) - [j12]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks. Proc. VLDB Endow. 5(12): 1966-1969 (2012) - [j11]Gao Cong, Wenfei Fan, Floris Geerts, Jianzhong Li, Jizhou Luo:
On the Complexity of View Update Analysis and Its Application to Annotation Propagation. IEEE Trans. Knowl. Data Eng. 24(3): 506-519 (2012) - [j10]Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen:
Joint Top-K Spatial Keyword Query Processing. IEEE Trans. Knowl. Data Eng. 24(10): 1889-1903 (2012) - [j9]Gao Cong, Wenfei Fan, Anastasios Kementsietsidis, Jianzhong Li, Xianmin Liu:
Partial Evaluation for Distributed XPath Query Processing and Beyond. ACM Trans. Database Syst. 37(4): 32:1-32:43 (2012) - [j8]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan:
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives. ACM Trans. Inf. Syst. 30(2): 7:1-7:38 (2012) - [j7]Dingming Wu, Gao Cong, Christian S. Jensen:
A framework for efficient spatial web object retrieval. VLDB J. 21(6): 797-822 (2012) - [j6]Junjie Yao, Bin Cui, Gao Cong, Yuxin Huang:
Evolutionary taxonomy construction from dynamic tag space. World Wide Web 15(5-6): 581-602 (2012) - [c54]Zhen Hai, Kuiyu Chang, Gao Cong:
One seed to find them all: mining opinion features via association. CIKM 2012: 255-264 - [c53]Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong:
Topic-driven reader comments summarization. CIKM 2012: 265-274 - [c52]Gao Cong:
Spatial Keyword Queries. DASFAA Workshops 2012: 250 - [c51]Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu:
Spatial Keyword Querying. ER 2012: 16-29 - [c50]Bo Liu, Gao Cong, Dong Xu, Yifeng Zeng:
Time Constrained Influence Maximization in Social Networks. ICDM 2012: 439-448 - [c49]Lei Han, Guojie Song, Gao Cong, Kunqing Xie:
Overlapping decomposition for causal graphical modeling. KDD 2012: 114-122 - [c48]Shaohua Li, Gao Cong, Chunyan Miao:
Author Name Disambiguation Using a New Categorical Distribution Similarity. ECML/PKDD (1) 2012: 569-584 - [c47]Quan Yuan, Gao Cong, Aixin Sun, Chin-Yew Lin, Nadia Magnenat-Thalmann:
Category hierarchy maintenance: a data-driven approach. SIGIR 2012: 791-800 - [c46]Zongyang Ma, Aixin Sun, Gao Cong:
Will this #hashtag be popular tomorrow? SIGIR 2012: 1173-1174 - [c45]Peng Tang, Siu Cheung Hui, Gao Cong:
Functional Feature Extraction and Chemical Retrieval. SSDBM 2012: 507-525 - [c44]Quan Yuan, Gao Cong, Nadia Magnenat-Thalmann:
Enhancing naive bayes with various smoothing methods for short text classification. WWW (Companion Volume) 2012: 645-646 - [i3]Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou:
Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. CoRR abs/1201.6564 (2012) - [i2]Gao Cong, Hua Lu, Beng Chin Ooi, Dongxiang Zhang, Meihui Zhang:
Efficient Spatial Keyword Search in Trajectory Databases. CoRR abs/1205.2880 (2012) - [i1]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. CoRR abs/1208.0077 (2012) - 2011
- [c43]Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie:
Simulated Annealing Based Influence Maximization in Social Networks. AAAI 2011: 127-132 - [c42]Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li:
Integrating Community Question and Answer Archives. AAAI 2011: 1255-1260 - [c41]Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong:
Efficient continuously moving top-k spatial keyword query processing. ICDE 2011: 541-552 - [c40]Jiaheng Lu, Ying Lu, Gao Cong:
Reverse spatial and textual k nearest neighbor search. SIGMOD Conference 2011: 349-360 - [c39]Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi:
Collective spatial keyword querying. SIGMOD Conference 2011: 373-384 - 2010
- [j5]Gao Cong, Yingxin Li:
Updating XML views and querying XML views with update syntax. Int. J. Comput. Sci. Eng. 5(2): 118-126 (2010) - [j4]Xin Cao, Gao Cong, Christian S. Jensen:
Retrieving Top-k Prestige-Based Relevant Spatial Web Objects. Proc. VLDB Endow. 3(1): 373-384 (2010) - [j3]Xin Cao, Gao Cong, Christian S. Jensen:
Mining Significant Semantic Locations From GPS Data. Proc. VLDB Endow. 3(1): 1009-1020 (2010) - [c38]Zhaoyan Ming, Tat-Seng Chua, Gao Cong:
Exploring domain-specific term weight in archived question search. CIKM 2010: 1605-1608 - [c37]Bin Cui, Jiakui Zhao, Gao Cong:
ISIS: A New Approach for Efficient Similarity Search in Sparse Databases. DASFAA (2) 2010: 231-245 - [c36]Lars K. Schunk, Gao Cong:
Using Transactional Data from ERP Systems for Expert Finding. DEXA (2) 2010: 267-276 - [c35]Yu Wang, Gao Cong, Guojie Song, Kunqing Xie:
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks. KDD 2010: 1039-1048 - [c34]Bin Cui, Ce Zhang, Gao Cong:
Content-enriched classifier for web video classification. SIGIR 2010: 619-626 - [c33]Bin Cui, Junjie Yao, Gao Cong, Yuxin Huang:
Evolutionary Taxonomy Construction from Dynamic Tag Space. WISE 2010: 105-119 - [c32]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen:
A generalized framework of exploring category information for question retrieval in community question answer archives. WWW 2010: 201-210
2000 – 2009
- 2009
- [j2]Gao Cong, Christian S. Jensen, Dingming Wu:
Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects. Proc. VLDB Endow. 2(1): 337-348 (2009) - [c31]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang:
The use of categorization information in language models for question retrieval. CIKM 2009: 265-274 - [c30]Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang:
A Revisit of Query Expansion with Different Semantic Levels. DASFAA 2009: 662-676 - [c29]Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao:
Routing Questions to the Right Users in Online Communities. ICDE 2009: 700-711 - [c28]Yuanzhe Cai, Gao Cong, Xu Jia, Hongyan Liu, Jun He, Jiaheng Lu, Xiaoyong Du:
Efficient Algorithm for Computing Link-Based Similarity in Real World Networks. ICDM 2009: 734-739 - 2008
- [j1]Byron Choi, Gao Cong, Wenfei Fan, Stratis Viglas:
Updating Recursive XML Views of Relations. J. Comput. Sci. Technol. 23(4): 516-537 (2008) - [c27]Shilin Ding, Gao Cong, Chin-Yew Lin, Xiaoyan Zhu:
Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums. ACL 2008: 710-718 - [c26]Gao Cong, Long Wang, Chin-Yew Lin, Young-In Song, Yueheng Sun:
Finding question-answer pairs from online forums. SIGIR 2008: 467-474 - [c25]Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong:
Semantic similarity based on compact concept ontology. WWW 2008: 1125-1126 - 2007
- [c24]Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou:
Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences. AAAI 2007: 925-930 - [c23]Guihua Sun, Xiaohua Liu, Gao Cong, Ming Zhou, Zhongyang Xiong, John Lee, Chin-Yew Lin:
Detecting Erroneous Sentences using Automatically Mined Sequential Patterns. ACL 2007 - [c22]Gao Cong:
Query and Update Through XML Views. DNIS 2007: 81-95 - [c21]Byron Choi, Gao Cong, Wenfei Fan, Stratis Viglas:
Updating Recursive XML Views of Relations. ICDE 2007: 766-775 - [c20]Wenfei Fan, Gao Cong, Philip Bohannon:
Querying xml with update syntax. SIGMOD Conference 2007: 293-304 - [c19]Gao Cong, Wenfei Fan, Anastasios Kementsietsidis:
Distributed query evaluation with performance guarantees. SIGMOD Conference 2007: 509-520 - [c18]Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Shuai Ma:
Improving Data Quality: Consistency and Accuracy. VLDB 2007: 315-326 - 2006
- [c17]Gao Cong, Wenfei Fan, Floris Geerts:
Annotation propagation revisited for key preserving views. CIKM 2006: 632-641 - [c16]Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang:
Summarizing Frequent Patterns Using Profiles. DASFAA 2006: 171-186 - [c15]Hanyu Li, Mong-Li Lee, Wynne Hsu, Gao Cong:
An Estimation System for XPath Expressions. ICDE 2006: 54 - [c14]Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, Cui Yu:
Exploring composite acoustic features for efficient music similarity query. ACM Multimedia 2006: 412-420 - [c13]Peter Buneman, Gao Cong, Wenfei Fan, Anastasios Kementsietsidis:
Using Partial Evaluation in Distributed Query Evaluation. VLDB 2006: 211-222 - 2005
- [c12]Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan:
On Effective E-mail Classification via Neural Networks. DEXA 2005: 85-94 - [c11]Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu:
Mining Top-k Covering Rule Groups for Gene Expression Data. SIGMOD Conference 2005: 670-681 - 2004
- [c10]Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu:
Semi-supervised Text Classification Using Partitioned EM. DASFAA 2004: 482-493 - [c9]Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung:
Go Green: Recycle and Reuse Frequent Patterns. ICDE 2004: 128-139 - [c8]Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan:
Mining Frequent Closed Patterns in Microarray Data. ICDM 2004: 363-366 - [c7]Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang:
Incremental maintenance of quotient cube for median. KDD 2004: 226-235 - [c6]Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Jiong Yang:
FARMER: Finding Interesting Rule Groups in Microarray Datasets. SIGMOD Conference 2004: 143-154 - [c5]Feng Pan, Anthony K. H. Tung, Gao Cong, Xin Xu:
COBBLER: Combining Column and Row Enumeration for Closed Pattern Discovery. SSDBM 2004: 21-30 - [c4]Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung:
Semantic Mining and Analysis of Gene Expression Data. VLDB 2004: 1261-1264 - 2003
- [c3]Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed Javeed Zaki:
Carpenter: finding closed patterns in long biological datasets. KDD 2003: 637-642 - 2002
- [c2]Gao Cong, Bing Liu:
Speed-up Iterative Frequent Itemset Mining with Constraint Changes. ICDM 2002: 107-114 - [c1]Gao Cong, Lan Yi, Bing Liu, Ke Wang:
Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM 2002: 175-192
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