Publications [Home]

2025

• DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph

Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Long Cheng
SIGMOD 2025

• MAST: Towards Efficient Analytical Query Processing on Point Cloud Data

Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang.
SIGMOD 2025

• BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data

Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Long Cheng, Rui Zhang
SIGMOD 2025

• CAMAL: Optimizing LSM-trees via Active Learning

Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong;
SIGMOD 2025

• LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing;
VLDB 2025

• RankPQO: Learning-to-Rank for Parametric Query Optimization

Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong
VLDB 2025

2024

• PLATON: Top-down R-tree Packing with Learned Partition Policy

Jingyi Yang, Gao Cong;
SIGMOD 2024

• Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes

Zizhong Meng, Xin Cao, Gao Cong
SIGMOD 2024

• Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries

Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
SIGMOD 2024

• Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network

Haitao Yuan, Gao Cong, Guoliang Li
PVLDB 2024

• A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies

Yue Zhao, Zhaodonghui Li, Gao Cong
PVLDB 2024

• TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals

Yile Chen, Gao Cong, Cuauhtemoc Anda
PVLDB 2024

• Trajectory Similarity Measurement: An Efficiency Perspective

Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi
PVLDB 2024

• Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach

Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
ICDE 2024

• AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction

Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
ICDE 2024

• SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting

Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
ICDE 2024

• Quantum Algorithm for Maximum K-Plex Problem

Xiaofan Li, Gao Cong, Rui Zhou
ICDE 2024

• UnifiedSSR: A Unified Framework of Sequential Search and Recommendation

Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen
The Web 2024

• MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations

Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui
The Web 2024

• AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction

Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, and Jingyuan Wang
ICLR 2024

• Zero-shot urban function inference with street view images through prompting a pretrained vision-language model

Weiming Huang, J Wang, Gao Cong
International Journal of Geographical Information Science, 1-29, 2024

• On the opportunities and challenges of foundation models for geoai (vision paper)

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
ACM Transactions on Spatial Algorithms and Systems, 2024

• City Foundation Models for Learning General Purpose Representations from OpenStreetMap

13. Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li
CIKM 2024

• On Evaluation Metrics for Diversity-enhanced Recommendations

Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li
CIKM 2024

2023

• Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries

Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, Fuzheng Zhang
SIGMOD 2023

• The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data

Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
SIGMOD 2023

• Mining Geospatial Relationships from Text

Pasquale Balsebre, Dezhong Yao, Weiming Huang, Gao Cong, Zhen Hai
SIGMOD 2023

• WISK: A Workload-aware Learned Index for Spatial Keyword Queries

Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang
SIGMOD 2023

• Towards Designing and Learning Piecewise Space-Filling Curves

Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
PVLDB 2023

• Learned Index Benefits: Machine Learning Based Index Performance Estimation

Jiachen Shi, Gao Cong, Xiaoli Li
PVLDB 2023

• Urban Region Representation Learning with OpenStreetMap Building Footprints

Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang
KDD 2023

• Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning

Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
IEEE ICDE 2023

• Multivariate Time-series Imputation with Disentangled Temporal Representations

Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
ICLR 2023

• Region Embedding with Intra and Inter-View Contrastive Learning.

Liang Zhang, Cheng Long, Gao Cong
To appear in IEEE Transactions on Knowledge and Data Engineering

2022

• QueryFormer: A Tree Transformer Model for Query Plan Representation

Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao
Proceedings of the VLDB Endowment (PVLDB) 2022

• Example-based Spatial Pattern Matching

Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah
Proceedings of the VLDB Endowment (PVLDB) 2022

• ABC : Attributed Bipartite Co-clustering

Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu,Wenyuan Yu, Chunyan Miao
Proceedings of the VLDB Endowment (PVLDB) 2022

• SAM: Database Generation from Query Workload with Supervised Autoregressive Model

Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
Proc. of ACM International Conference on Management of Data (SIGMOD). 2022

• DMCS : Density Modularity based Community Search

Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu.
Proc. of ACM International Conference on Management of Data (SIGMOD). 2022

• Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and Autoregressive Model

Zizhong Meng,  Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma
EDBT 2022

• Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

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
PVLDB 2022

• Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks

Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
PVLDB 2022

• Entity Resolution with Hierarchical Graph Attention Networks

Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv
SIGMOD 2022

• Geospatial Entity Resolution

Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai
The Web Conference 2022

• The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?

Jinyao Chin, Yile Chen, Gao Cong
WSDM 2022 (Best Paper Award Runner-up)   

• Similar Trajectory Search with Spatio-temporal Deep Representation Learning

David A. Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Choudhury, Kai Qin
ACM TIST 2022

2021

• A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

Peizhi Wu, Gao Cong
Proc. of ACM International Conference on Management of Data (SIGMOD) 2021

• Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics

Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao
CIKM 2021

• STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams

Zhida Chen Gao Cong Walid G. Aref  
SIGSPATIAL 2021 (One of Best Papers)

• Sinkhorn Collaborative Filtering

Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong  
WWW 2021

• Trajectory Simplification with Reinforcement Learning

Zheng Wang, Cheng Long, Gao Cong  
ICDE 2021

• Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning

Zheng Wang, Cheng Long, Gao Cong  
KDD 2021

• Location- and keyword-based querying of geo-textual data: a survey

Zhida Chen, Lisi Chen, Gao Cong, Christian S. Jensen
VLDB J. 30(4)

• A Survey on Trajectory Data Management, Analytics, and Learning

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
ACM Comput. Surv.  

• Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

Shengnan Guo, Youfang Lin, Huayu Wan, Xiucheng Li, Gao Cong
IEEE Transactions on Knowledge and Data Engineering (TKDE)

• A Linear Time Approach to Computing Time Series Similarity based on Deep Metric Learning

Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi
IEEE Transactions on Knowledge and Data Engineering (TKDE)

2020

• Densely Connected User Community and Location Cluster Search in Location-Based Social Networks

Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, and Farhana Choudhury
Proc. of ACM International Conference on Management of Data (SIGMOD)

• STAR: A Distributed Stream Warehouse System for Spatial Data (Demo)

Zhida Chen, Gao Cong, Walid G. Aref
Proc. of ACM International Conference on Management of Data (SIGMOD)

• SSTD: A Distributed System on Streaming Spatio-Textual Data

Yue Chen, Zhida Chen, Gao Cong, Ahmed R. Mahmood, Walid G. Aref
PVLDB 2020

• Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning

Zheng Wang, Cheng Long, Gao Cong and Yiding Liu
PVLDB 2020

• Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling

Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
ICDE 2020

• Spatial Transition Learning on Road Networks with Deep Probabilistic Models

Xiucheng Li, Gao Cong, Yun Cheng
ICDE 2020

• Context-aware Deep Model for Joint Mobility and Time Prediction

Yile Chen, Cheng Long, Gao Cong, Chenliang Li
WSDM 2020

• HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
WSDM 2020 (Best Paper Award Runner-up)

• Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search

Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang
CIKM 2020

• HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation

Shanshan Feng; Lucas Vinh Tran; Gao Cong; Lisi Chen; Jing Li; Fan Li
SIGIR 2020

• Global Context Enhanced Graph Nerual Networks for Session-based Recommendation

Ziyang Wang, Wei Wei, Cong Gao, Xiaoli Li, Xianling Mao, Minghui Qiu
SIGIR 2020

• PGeoTopic: A Distributed Solution for Mining Geographical Topic Models

Kaiqi Zhao, Gao Cong, Xiucheng Li
IEEE Transactions on Knowledge and Data Engineering (TKDE)

• Deterministic Inference of Topic Models via Maximal Latent State Replication

Daniel Rugeles, Hai Zhen, Manoranjan Dash, Gao Cong
IEEE Transactions on Knowledge and Data Engineering (TKDE)

2019

• Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach

Di Yao, Gao Cong, Chao Zhang, Jingping Bi
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE) 2019

• Finding attribute-aware similar regions for data analysis

Kaiyu Feng, Gao Cong, Christian S. Jensen, Tao Guo
PVLDB 2019

• Learning Travel Time Distributions with Deep Generative Model

Xiucheng Li, Gao Cong, Aixin Sun
The Web Conference 2019 proceedings (WWW)

• Effective and Efficient Sports Play Retrieval with Deep Representation Learning

Zhen Wang, Cheng Long, Gao Cong, and Ce Ju
ACM SIGKDD Conference on Knowledge Discovery and Data Mining

• Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation

Lucas Vinh Tran, Tuan-Anh Nguyen Pham,Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
ACM SIGIR 2019

• SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects

Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma
IEEE Transactions on Knowledge and Data Engineering (TKDE)

• Exploring Market Competition over Topics in Spatio-Temporal Document Collections

Kaiqi Zhao, Gao Cong, Jin-Yao Chin, Rong Wen
VLDB Journal

2018

• Efficient Selection of Geospatial Data on maps for Interactive Visualized Exploration

Tao Guo, Kaiyu Feng, Gao Cong, Zhifeng Bao
Proc. of the 2018 ACM SIGMOD International Conference on Management of Data (SIGMOD)  

• Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks

Xiangyu Ke, Arijit Khan, Gao Cong
Proc. of the 2018 ACM SIGMOD International Conference on Management of Data (SIGMOD)  

• ANR: Aspect-based Neural Recommender (code )

Jin Yao Chin, Kaiqi Zhao, Shafiq Joty, Gao Cong
Proceedings of the CIKM 2018: 147-156   

• Deep Representation Learning for Trajectory Similarity Computation [pdf] (code) 

Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen
Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE) 2018   

• Inf2vec: Latent Representation Model for Social Influence Embedding

Shanshan Feng, Gao Cong, Arijit Khan, Yong Liu, Chee Yeow Meng
Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE) 2018   

• On Spatial Pattern Matching

Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li
Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE) 2018   

• SURGE: Continuous Detection of Bursty Regions over a Stream of Spatial Objects

Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma
Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE) 2018 (short paper)  

• Efficient Similar Region Search with Deep Metric Learning

Yiding Liu, Kaiqi Zhao, Gao Cong
Proceedings of the KDD 2018: 1850-1859   

• Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns

Ali Zonoozi, Jung-jae Kim, Xiao-Li Li, Gao Cong
IJCAI 2018   

• High-dimensional Similarity Learning via Dual-sparse Random Projection

Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
IJCAI 2018   

• PANDA: A System for Partial Topology-based Search on Large Networks (Demo)

Miao Xie, Sourav S. Bhowmick, Hao Su, Gao Cong, Wook-Shin Han
PVLDB 11(12): 1966-1969 (2018)  

• Linking Fine-Grained Locations in User Comments

Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
IEEE Trans. Knowl. Data Eng. 30(1): 59-72 (2018)   

• Reverse k Nearest Neighbor Search over Trajectories

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong
IEEE Trans. Knowl. Data Eng. 30(4): 757-771 (2018)   

2017

• Distributed Algorithms on Exact Personalized PageRank

Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks (code and dataset)

Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan
PVLDB  

• Discovering Fine Grained Pollution Sources and Propagation Patterns in Urban Area

Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen
Proceedings of KDD  

• Biclustering: An application of Dual Topic Models

Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy
Proceedings of SDM  

• Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream

Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Fu, Lisi Chen
Proceedings of ICDE   

• A General Model for Out-of-town Region Recommendation

Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong
Proceedings of the 26th International World Wide Web Conference (WWW)   

• POI2Vec: Geographical Latent Representation for Predicting Future Visitors

Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI)   

• PRED: Periodic Region Detection for Mobility Modeling of Social Media Users

Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong and Jiawei Han
Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)   

• Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach 

Zhen Hai, Gao Cong, Kuiyu Chang, Peng Chen, Chunyan Miao
IEEE Transactions on Knowledge and Data Engineering (TKDE)  

• Influence maximization in trajectory databases 

Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu,Kian-Lee Tan
IEEE Transactions on Knowledge and Data Engineering (TKDE)  

• PANDA: Towards Partial Topology-based Search on Large Networks in a Single Machine 

Miao Xie, Sourav S Bhowmick, Gao Cong, Qing Wang
The VLDB Journal  

2016

• Towards Personalized Maps: Mining User Preferences from Geo-textual Data (Demo website)

KaiqiZhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong
PVLDB 9(13): 1545-1548 (2016)  

• A System for Region Search and Exploration (Demo website)

Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong
PVLDB 9(13): 1549-1552 (2016)  

• Tutorial: Querying Geo-Textual Data: Spatial Keyword Queries and Beyond  (Tutorial slides )

Gao Cong, Christian S. Jensen
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• Topic Exploration in Spatio-Temporal Document Collections  

Kaiqi Zhao,  Lisi Chen, Gao Cong
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• Towards Best Region Search for Data Exploration  

Kaiyu Feng, Gao Cong,  Sourav S. Bhowmick, Wen-Chih Peng, Chunyan Miao
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• Invited paper: Querying and Mining Geo-textual Data for Exploration: Challenges and Opportunities   

Gao Cong, Kaiyu Feng, Kaiqi Zhao
Workshop on Keyword Search and Data Exploration on Structured Data   

• Recognition and Linking of Fine-Grained Locations from Tweets [pdf]  

Zongcheng Ji, Aixin Sun, Gao Cong, Jialong Han
Proceedings of International World Wide Web Conference (WWW) 

• Annotating Points of Interest with Geo-tagged Tweets   

Kaiqi Zhao, Gao Cong, Aixin Sun
Proceedings of ACM CIKM (CIKM)   

• Efficient Processing of Location-Aware Group Preference Queries   

Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu
Proceedings of ACM CIKM (CIKM)   

• ConTrack: A Scalable Method For Tracking Multiple Concepts In Large Scale Multidimensional Data   

Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, and Gao Cong
IEEE ICDM  

• Learning to Find Topic Experts in Twitter via Different Relations 

Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu and Guohui Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(17) pp1764-1778  

• A General Recommendation Model for Heterogeneous Networks 

Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(12): 3140-3153  

2015

• Where you Instagram? Associating Your Instagram Photos with Points of Interest [pdf]

Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong,  Quan Yuan, Xiaoli Li, Shonali Krishnaswamy
Proceedings of ACM International Conference on Information and Knowledge Management (CIKM)   

• Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation [pdf]

Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy
Proceedings of the 38th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR)   

• Diversity-Aware Top-k Publish/Subscribe for Text Stream [pdf]

Lisi Chen, Gao Cong
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• Efficient Algorithms for Answering the m-Closest Keywords Query [pdf]

Tao Guo, Xin Cao, Gao Cong
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD)   

• Temporal Spatial-Keyword Top-k Publish/Subscribe  [pdf]   (Datasets)

Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan  
Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE)  

• A General Graph-based Model for Recommendation in Event-based Social Networks [pdf]  (Datasets )

Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang
Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE)  

• SAR: A Sentiment-Aspect-Region Model for User Preference Analysis in Geo-tagged Reviews  [pdf]

Kaiqi Zhao, Gao Cong, Quan Yuan , Kenny Zhu
Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE)  

• Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets [pdf]

Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li
In Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI)  

• On Information Coverage for Location Category Based Point-of-Interest Recommendation

Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai
In Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI)  

• DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization

Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo
In Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI)  

• A Tri-Role Topic Model for Domain-Specific Question Answering

Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
In Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI)  

• Personalized Ranking Metric Embedding for Next New POI Recommendation [pdf]

Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan
IJCAI   

• Efficient Processing of Spatial Group Keyword Queries

Xin Cao, Gao Cong, Tao Guo, Christian Jensen, Beng Chin Ooi
ACM Transactions on Database Systems (TODS)   

• Who, where, when and what: a nonparametric bayesian approach to context-aware recommendation and search for twitter users. [pdf] (Dataset)

Quan Yuan , Gao Cong, Kaiqi Zhao, Zongyang Ma, and Aixin Sun
ACM Transactions on Information Systems (TOIS), to appear

2014

• COM: A Generative Model for Group Recommendation

Quan Yuan, Gao Cong, Chin-Yew Lin
The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

• Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences  (datasets)

Quan Yuan, Gao Cong, Aixin Sun
Proc. 23rd ACM International Conference on Information and Knowledge Management (CIKM)

• Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter

Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
Proc. 23rd ACM International Conference on Information and Knowledge Management (CIKM)

• In Search of Influential Event Organizers in Online Social Networks

Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Shuai Ma
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD)

• Retrieving Regions of Interest for User Exploration

Xin Cao, Gao Cong, Christian Jensen, Manlung Yiu
Proceedings of the VLDB Endowment (PVLDB), Volume 7

• SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe

Lisi Chen, Yan Cui, Gao Cong, Xin Cao
Proceedings of the VLDB Endowment (PVLDB), Volume 7  (Demo)

• Coarse-to-Fine Review Selection via Supervised Joint Aspect and Sentiment Model

Zhen Hai, Gao Cong, Kuiyu Chang, Wenting Liu, Peng Cheng
Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR)

• Influence Maximization with Novelty Decay in Social Networks

Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee and Yanping Xiang
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI)

• Distributed Spatial Keyword Querying on Road Networks

Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
Proceedings of the 17th International Conference on Extending Database Technology (EDBT)

• Efficient algorithms and cost models for reverse spatial-keyword k-nearest neighbor search

Ying Lu, Jiaheng Lu, Gao Cong, Wei Wu, Cyrus Shahabi
ACM Transactions on Database Systems (TODS), Volume 39

• Where your photo is taken: Geolocation prediction for social images

Bo Liu, Quan Yuan, Gao Cong, Dong Xu
Journal of the American Society for Information Science and Technology (JASIST), Volume 65

2013

• Who, where, when and what: discover spatio-temporal topics for twitter users (datasets)
  Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat- Thalmann
  Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining   (KDD), 2013

• Efficient proximity detection among mobile objects in road networks with self-adjustment methods
  Yaqiong Liu, Hock Soon Seah, Gao Cong
  Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems   (SIGSPATIAL), 2013

• An efficient query indexing mechanism for filtering geo-textual data
  Lisi Chen, Gao Cong, Xin Cao
  Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data  (SIGMOD), 2013

• Time-aware point-of-interest recommendation    (datasets)
  Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat- Thalmann
  Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval   (SIGIR), 2013

• Spatial Keyword Query Processing: An Experimental Evaluation  [PDF] (code)

Lisi Chen, Gao Cong, Christian S. Jensen, and Dingming Wu
Proceedings of the VLDB Endowment (PVLDB), Volume 6, No 3. 217-228, Jan, 2013

• KORS: Keyword-aware Optimal Route Search System

Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao
Proceedings of the 28th IEEE International Conference on Data Engineering ( ICDE)  (demo)

• Influence Spreading Path and its Application to the Time Constrained Social Influence Maximization Problem and Beyond  (Source code )

Bo Liu, Gao Cong, Yifeng Zeng, Dong Xu, Yeow Meng Chee
IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 26

2012

• Time Constrained Influence Maximization in Social Networks [PDF]  ( The algorithm in the ICDM paper is extended to find influential nodes for the traditional influence maximization problem without time constraints, which appears in our TKDE paper. Source code )

Bo Liu, Gao Cong, Dong Xu,  Yifeng Zeng
IEEE International Conference on Data Mining (ICDM)

• Topic-Driven Reader Comments Summarization

Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
In Proc. of ACM Conference on Information and Knowledge Management (CIKM)

• One seed to find them all: Mining Opinion Features via Association  [PDF]

Zhen Hai, Kuiyu Chang, Gao Cong
In Proc. of ACM Conference on Information and Knowledge Management (CIKM)

• Keyword-aware Optimal Route Search   [PDF]

Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao
The 38th International Conference on Very Large Data Bases (PVLDB)

• Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation.

Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Diwen Zhu, Shuigeng Zhou
The 38th International Conference on Very Large Data Bases (PVLDB)

• SWORS: A System for Efficient Retrieval of Relevant Spatial Web Objects [PDF] 

Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Dingming Wu
The 38th International Conference on Very Large Data Bases (PVLDB)  (demo)

• DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks

Siqiang Luo, Yifeng Luo, Shuigeng Zhou,Gao Cong, Jihong Guan
The 38th International Conference on Very Large Data Bases (PVLDB) (demo)

• Category Hierarchy Maintenance: A Data-Driven Approach   [PDF]   Annotated dataset  here

Quan Yuan, Gao Cong, Aixin Sun, Chin-Yew Lin, Nadia M. Thalmann
In Proc. of ACM SIGIR Conference (SIGIR)

• Will This #Hashtag Be Popular Tomorrow?

Zongyang Ma, Aixin Sun, Gao Cong
In Proc. of ACM SIGIR Conference (SIGIR) Poster Track

• Overlapping Decomposition for Causal Graphical Modeling

Lei Han, Guojie Song, Gao Cong, Kunqing Xie
In Proc. of ACM SIGKDD

• Enhancing naive bayes with various smoothing methods for short text classification [PDF]

Quan Yuan, Gao Cong, Nadia Magnenat-Thalmann
In Proc. of WWW, Poster track, 645-646

• Author Name Disambiguation Using a New Categorical Distribution Similarity [PDF]

Shaohua Li, Gao Cong, Chunyan Miao
ECML/PKDD

· Functional Feature Extraction and Chemical Retrieval

24th International Conference on Scientific and Statistical Database Management (SSDBM)

Peng Tang, Siu Cheung Hui, and Gao Cong

· A framework for efficient spatial web object retrieval
The VLDB Journal

Dingming Wu, Gao Cong, Christian S. Jensen

· An Evaluation of Classification Models for Question Topic Categorization [PDF]

Journal of the American Society for Information Science and Technology (JASIST) 

Bo Qu, Gao Cong, Cuiping Li, Aixin Sun, Hong Chen

· Approaches to Exploring Category Information for Question Retrieval inCommunity Question-Answer Archives [PDF]

ACM Transactions on Information Systems (TOIS)

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan

· 3D Subspace Clustering in Value Investing
IEEE Intelligent Systems

Kelvin Sim, Vivekanand Gopalkrishnan, Clifton Phua, Gao Cong

2011

· Collective Spatial Keyword Querying.  [PDF]   (Source code here )

Proceedings of ACM International Conference on Management of Data (SIGMOD)

Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi,

· Reverse Spatial and Textual k Nearest Neighbor Search [PDF]

Proceedings of ACM International Conference on Management of Data (SIGMOD)

Jiaheng Lu, Ying Lu, Gao Cong

· Simulated Annealing based Influence Maximization in Social Networks

Proc. of AAAI

Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie

· Integrating Community Question and Answer Archives

Proc. of AAAI

Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li

· Efficient Continuously Moving Top-K Spatial Keyword Query Processing

Proceedings of the 27th IEEE International Conference on Data Engineering (ICDE), 2011.

Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong,

· On the Complexity of View Update Analysis and its Application to Annotation Propagation

IEEE Transactions on Knowledge and Data Engineering (TKDE),

Gao Cong, Wenfei Fan, Floris Geerts, Jianzhong Li, and Jizhou Luo

· Partial Evaluation for Distributed XPath Query Processing and Beyond

ACM Transactions on Database Systems (TODS).

Gao Cong, Wenfei Fan, Anastasios Kementsietsidis, Jianzhong Li, and Xianmin Liu

· Joint Top-K Spatial Keyword Query Processing,

IEEE Transactions on Knowledge and Data Engineering (TKDE)

D. Wu, M. L. Yiu, G. Cong, C. S. Jensen

· A Survey on Enhanced Subspace Clustering
Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong
Data Mining and Knowledge Discovery

· Centroid-based Actionable 3D Subspace Clustering
Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman
IEEE Transactions on Knowledge and Data Engineering

2010

· Retrieving Top-k Prestige-Based Relevant Spatial Web Objects

Proceedings of 36th International Conference on Very Large Data Bases (VLDB), PVLDB, 2010

Xin Cao, Gao Cong, Christian S. Jensen

· Mining Significant Semantic Locations From GPS Data,

Proceedings of 36th International Conference on Very Large Data Bases (VLDB), PVLDB journal track, 2010

Xin Cao, Gao Cong, Christian S. Jensen

· Exploring Domain-specific Term Weight in Archived Question Search.

Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), (short paper in IR track)

Zhao-Yan Ming, Tat-Seng Chua, Gao Cong:

· Community-based Greedy Algorithm for Mining Top-K Influential Nodes in Mobile Social Networks  [PDF]

Proceedings of KDD, 2010

Yu Wang, Gao Cong, Guojie Song, Kunqing Xie.

· A Generalized Framework of Exploring Category Information for Question Retrieval in Community Question Answer Archives. (supplementary materials on dataset)

The 19th International World Wide Web Conference (WWW) 2010

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen

· Evolutionary Taxonomy Construction from Dynamic Tag Space

The 11th International Conference on Web Information System Engineering (WISE 2010, best paper runner-up award)

Bin Cui, Junjie Yao, Gao Cong, and Yuxin Huang

· Using Transactional Data from ERP Systems for Expert Finding [PDF]

21st International Conference on Database and Expert Systems Applications (DEXA), 2010

Lars K. Schunk, Gao Cong.

· Content-enriched Classifier for Web Video Classification

Proceedings of the 33rd Annual ACM SIGIR Conference, 2010

Bin Cui, Ce Zhang, Gao Cong

· ISIS: A New Approach for Efficient Similarity Search in Sparse Databases

The 15th International Conference on Database Systems for Advanced Applications (DASFAA) 2010

Bin Cui, J. Zhao and Gao Cong

2009

· Efficient Algorithms for Computing Link-based Similarity in Real World Networks.

Proceedings of the IEEE International Conference on Data Mining (ICDM). 2009 (Short Paper)

Yuanzhe Cai, Gao Cong, Xu Jia, Hongyan Liu, Jun He, Jiaheng Lu, Xiaoyong Du.

· The Use of Categorization Information in Language Models for Question Retrieval. (supplementary materials on dataset)

Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM) 2009

Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang

· Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects

Proceedings of 35th International Conference on Very Large Data Bases (VLDB).2009

Gao Cong, Christian S. Jensen, Dingming Wu

· Routing Questions to Right Users in Online Communities

Proceedings of the ICDE 2009

Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao

· A Revisit of Query Expansion with Different Semantic Levels

Proceedings of the DASFAA 2009

Ce Zhang, Cui Bin, Gao Cong, YuJing Wang:

2008

· Finding Question-Answer Pairs from Online Forums

Proceedings of the 31^st Annual International ACM SIGIR Conference, 2008

Gao Cong, Long Wang, Chin-Yew Lin, Y.I. Song, Y. Sun:

· Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums. (supplementary materials on data)

The 46th Annual Meeting of the Association for Computational Linguistics. ACL 2008

Shilin Ding, Gao Cong, Chin-Yew Lin and Xiaoyan Zhu 

· Semantic Similarity Based on Compact Concept Ontology.  

Proceedings of the WWW 2008 (Poster)

Ce Zhang, YuJing Wang, Bin Cui, Gao Cong

· Updating Recursive XML Views of Relations.

Journal of Computer Science and Technology 2008

Byron Choi, Gao Cong, Wenfei Fan, Stratis D. Viglas

2007

· Improving Data Quality: Consistency and Accuracy.

Proceedings of the VLDB 2007

Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Shuai Ma

· Query and Update Through XML Views.

Proceedings of the DNIS 2007 (Invited paper)

Gao Cong

· Query XML with Update Syntax.

Proceedings of ACM International Conference on Management of Data (SIGMOD) 2007

Wenfei Fan, Gao Cong, Philip Bohannon

· Distributed Query Evaluation with Performance Guarantees.

Proceedings of ACM International Conference on Management of Data (SIGMOD) 2007

Gao Cong, Wenfei Fan, Anastasios Kementsietsidis.

· Detecting Erroneous Sentences using labeled sequential Patterns and Tree Patterns.

Proceedings of the AAAI 2007.

Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou.

· Detecting Erroneous Sentences using Automatically Mined Sequential Patterns.

Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics. ACL 2007.

Guihua Sun, Xiaohua Liu, Gao Cong, Ming Zhou, Zhongyang Xiong, Chin-Yew Lin, John Lee.

· Updating recursive XML views of relations.

Proceedings of the 23rd International Conference on Database Engineering (ICDE), 2007.

Byron Choi, Gao Cong, Wenfei Fan, Stratis D. Viglas

2006

· Annotation Propagation Revisited for Key Preserving Views.

Proceedings of the 15th ACM Conference on Information and Knowledge Management (CIKM), 2006.

Gao Cong, Wenfei Fan, Floris Geerts .

· Using Partial Evaluation in Distributed Query Evaluation.

Proceedings of the 32nd International Conference on Very Large Data Bases (VLDB), 2006

Peter Buneman, Gao Cong, Wenfei Fan, Anastasios Kementsietsidis.

· Composite Acoustic Features for Efficient Music Similarity Query.

Proceedings of 14^th ACM International Conference on Multimedia (ACM MM), 2006.

Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, Cui Yu.

· An Estimation System for XPath Expressions.

Proceedings of the 22^th IEEE International Conference on Data Engineering (ICDE)2006

Hanyu Li, Mong-Li Lee,  Wynne Hsu, and Gao Cong

· Summarizing frequent patterns using profiles.

Proceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA) 2006

Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang.

2005

· Mining Top-k Covering Rule Groups for Gene Expression Data.

Proceedings of the ACM International Conference on Management of Data (SIGMOD) 2005

Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu.

· On effective E-mail Classification via Neural Networks.

Proceedings of the 16th International Conference on Database and Expert Systems Applications (DEXA) 2005

Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan

2004

· Mining Frequent Closed Patterns in Microarray Data.

Proceedings of the IEEE International Conference on Data Mining, (ICDM). 2004

Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan:

· Large Incremental Maintenance of Quotient Cube for Sum and Median.

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2004

Cuiping Li, Gao Cong, Anthony K. H. Tung Shan Wang.

· Semantic Mining and Analysis of Gene Expression Data (Demo).

Proceedings of the 30th International Conference on Very Large Data Bases (VLDB) 2004

Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung:

· FARMER: Fining Interesting Association Rule Groups by Row Enumeration in Biological Datasets.

Proceedings of the 23rd ACM International Conference on Management of Data (SIGMOD) 2004

Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Jiong Yang.

· COBBLER: Combining Column and Row Enumeration for Closed Pattern Discovery.

Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM) 2004

Feng Pan, Anthony K. H. Tung, Gao Cong, Xin Xu.

· Go Green: Recycle and Reuse Frequent Patterns.

Proceedings of the 20^th IEEE International Conference on Data Engineering (ICDE) 2004

Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung.

· Semi-Supervised Text Classification Using Partitioned EM.

Proceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA) 2004

Gao Cong, Weesun Lee, Haoran Wu, Bing Liu.

2003

· CARPENTER: Finding Closed Patterns in Long Biological Datasets.

Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2003

Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed J. Zaki.

2002

· Speed-up Iterative Frequent Itemset Mining with Constraint Changes

Proceedings of the IEEE International Conference on Data Mining, (ICDM). 2002

Gao Cong, Bing Liu

· Discovering frequent substructures from hierarchical semi-structured data.

Proceedings of the Second SIAM International Conference on Data Mining, (SDM). 2002

Gao Cong, Lan Yi, Bing Liu, Ke Wang