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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
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2020 – today
- 2024
[j88]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)- [j87]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) - [j86]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) - [j85]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) - [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) - [c149]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 - [c148]Xiaofan Li, Gao Cong, Rui Zhou:
Quantum Algorithms for the Maximum K-Plex Problem. ICDE 2024: 2435-2448 - [c147]Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen:
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE 2024: 4383-4395 - [c146]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 - [c145]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 - [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 - [i43]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) - [i42]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) - [i41]Pasquale Balsebre, Weiming Huang, Gao Cong:
LAMP: A Language Model on the Map. CoRR abs/2403.09059 (2024) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]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) - [i35]Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong:
Self-supervised Learning for Geospatial AI: A Survey. CoRR abs/2408.12133 (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]