Gao Cong

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 164

Top Venues

CoRR

ICDE

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE (2024)
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 (2024)
Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Road Network Representation Learning with the Third Law of Geography. CoRR (2024)
Gao Cong, Jingyi Yang, Yue Zhao
Machine Learning for Databases: Foundations, Paradigms, and Open problems. SIGMOD Conference Companion (2024)
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) (2024)
Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR (2024)
Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui
MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. WWW (2024)
Pasquale Balsebre, Weiming Huang, Gao Cong
LAMP: A Language Model on the Map. CoRR (2024)
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE (2024)
Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. WWW (2024)
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 (2024)
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) (2024)
Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi
Trajectory Similarity Measurement: An Efficiency Perspective. Proc. VLDB Endow. 17 (9) (2024)
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)
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 (2024)
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)
Xiaofan Li, Gao Cong, Rui Zhou
Quantum Algorithms for the Maximum K-Plex Problem. ICDE (2024)
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR (2024)
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) (2024)
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR (2024)
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) (2024)
Zheng Wang, Cheng Long, Gao Cong
Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Zhida Chen, Gao Cong, Walid G. Aref
STAR: A Cache-based Stream Warehouse System for Spatial Data. ACM Trans. Spatial Algorithms Syst. 9 (4) (2023)
Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi
Trajectory Similarity Measurement: An Efficiency Perspective. CoRR (2023)
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) (2023)
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 (2023)
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. CoRR (2023)
Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang
Urban Region Representation Learning with OpenStreetMap Building Footprints. KDD (2023)
Liang Zhang, Cheng Long, Gao Cong
Region Embedding With Intra and Inter-View Contrastive Learning. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li
CityFM: City Foundation Models to Solve Urban Challenges. CoRR (2023)
Yile Chen, Gao Cong, Cuauhtemoc Anda
TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. 17 (3) (2023)
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) (2023)
Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR (2023)
Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR (2023)
Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. CoRR (2023)
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) (2023)
Zizhong Meng, Xin Cao, Gao Cong
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data 1 (4) (2023)
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)
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) (2023)
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) (2023)
Jingyi Yang, Gao Cong
PLATON: Top-down R-tree Packing with Learned Partition Policy. Proc. ACM Manag. Data 1 (4) (2023)
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 (2023)
Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong
Improving the Inference of Topic Models via Infinite Latent State Replications. CoRR (2023)
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) (2023)
Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, Zhen Hai
Mining Geospatial Relationships from Text. Proc. ACM Manag. Data 1 (1) (2023)
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 (2023)
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 (2022)
Jin Yao Chin, Yile Chen, Gao Cong
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM (2022)
Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah
Example-based Spatial Pattern Matching. Proc. VLDB Endow. 15 (11) (2022)
Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai
Geospatial Entity Resolution. WWW (2022)
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)
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 (2022)
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) (2022)
Kaiqi Zhao, Gao Cong, Xiucheng Li
PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
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) (2022)
Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma
Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. EDBT (2022)
Jiachen Shi, Gao Cong, Xiaoli Li
Learned Index Benefits: Machine Learning Based Index Performance Estimation. Proc. VLDB Endow. 15 (13) (2022)
Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao
QueryFormer: A Tree Transformer Model for Query Plan Representation. Proc. VLDB Endow. 15 (8) (2022)
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 (2022)
Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
DMCS : Density Modularity based Community Search. CoRR (2022)
Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv
Entity Resolution with Hierarchical Graph Attention Networks. SIGMOD Conference (2022)
Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. SIGMOD Conference (2022)
Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
DMCS : Density Modularity based Community Search. SIGMOD Conference (2022)
Liang Zhang, Cheng Long, Gao Cong
Region Embedding with Intra and Inter-View Contrastive Learning. CoRR (2022)
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) (2022)
Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao
ABC: Attributed Bipartite Co-clustering. Proc. VLDB Endow. 15 (10) (2022)
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) (2022)
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) (2022)
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 (2021)
Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
Sinkhorn Collaborative Filtering. WWW (2021)
Peizhi Wu, Gao Cong
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. SIGMOD Conference (2021)
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. 54 (2) (2021)
Zhida Chen, Gao Cong, Walid G. Aref
STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams. SIGSPATIAL/GIS (2021)
Peizhi Wu, Gao Cong
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. CoRR (2021)
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 (2021)
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) (2021)
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) (2021)
Zheng Wang, Cheng Long, Gao Cong
Trajectory Simplification with Reinforcement Learning. ICDE (2021)
Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. KDD (2021)
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 (2021)
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)
Zhida Chen, Lisi Chen, Gao Cong, Christian S. Jensen
Location- and keyword-based querying of geo-textual data: a survey. VLDB J. 30 (4) (2021)
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) (2021)
Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
Let Trajectories Speak Out the Traffic Bottlenecks. CoRR (2021)
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)
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) (2020)
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) (2020)
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)
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)
Yile Chen, Cheng Long, Gao Cong, Chenliang Li
Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM (2020)
Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. 13 (11) (2020)
Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE (2020)
Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. CIKM (2020)
Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng
Exploring Global Information for Session-based Recommendation. CoRR (2020)
Zhida Chen, Gao Cong, Walid G. Aref
STAR: A Distributed Stream Warehouse System for Spatial Data. SIGMOD Conference (2020)
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) (2020)
Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
A Survey on Trajectory Data Management, Analytics, and Learning. CoRR (2020)
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 (2020)
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)
Xiucheng Li, Gao Cong, Yun Cheng
Spatial Transition Learning on Road Networks with Deep Probabilistic Models. ICDE (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gao Cong