Gao Cong - RankMe

335 papers A* 88A 22B 8C 2Misc 1Journal 169Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2026	A*	`conf`	Cross-city Time Series Forecasting with Retrieval-Augmented Large Language Models. WWW Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Cheng Long, Gao Cong
2026	—	`conf`	Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? KDD (1) Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi
2026	J	`jnl`	UrbanMFM: Spatial Graph-Based Multiscale Foundation Models for Learning Generalized Urban Representation. IEEE Trans. Knowl. Data Eng. Zhaoqi Zhang, Miao Xie, Pasquale Balsebre, Weiming Huang, Siqiang Luo, Gao Cong
2025	J	`jnl`	A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs. CoRR Kethmi Hirushini Hettige, Jiahao Ji, Cheng Long, Shili Xiang, Gao Cong, Jingyuan Wang
2025	J	`jnl`	ARCADE: A Real-Time Data System for Hybrid and Continuous Query Processing across Diverse Data Modalities. CoRR Jingyi Yang, Songsong Mo, Jiachen Shi, Zihao Yu, Kunhao Shi, Xuchen Ding, Gao Cong
2025	J	`jnl`	ARTS: A General and Efficient Multi-Task Self-Prompt Framework for Explainable Sequential Recommendation. ACM Trans. Inf. Syst. Zunlong Liu, Yang Xu, Gao Cong, Lei Zhu, Qinjun Qiu, Huaxiang Zhang
2025	J	`jnl`	BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing. CoRR Jiangneng Li, Yuang Liu, Zheng Wang, Gao Cong, Cheng Long, Walid G. Aref, Han Mao Kiah, Bin Cui
2025	J	`jnl`	DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph. CoRR Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long
2025	J	`jnl`	DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph. Proc. ACM Manag. Data Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Gao Cong, Cheng Long
2025	—	`conf`	Demonstrating MAST: An Efficient System for Point Cloud Data Analytics. SIGMOD Conference Companion Jiangneng Li, Haitao Yuan, Jie Wang, Ziting Wang, Han Mao Kiah, Gao Cong
2025	J	`jnl`	Disentangling Dynamics: Advanced, Scalable and Explainable Imputation for Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Shuai Liu, Xiucheng Li, Yile Chen, Yue Jiang, Gao Cong
2025	—	`conf`	Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. KDD (2) Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong
2025	J	`jnl`	Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization. CoRR Yile Chen, Yicheng Tao, Yue Jiang, Shuai Liu, Han Yu, Gao Cong
2025	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 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
2025	J	`jnl`	FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data. CoRR Ziting Wang, Shize Zhang, Haitao Yuan, Jinwei Zhu, Shifu Li, Wei Dong, Gao Cong
2025	A*	`conf`	FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting. ICML Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong
2025	—	`conf`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Gate-Based and Annealing-Based Quantum Algorithms for the Maximum K-Plex Problem. CoRR Xiaofan Li, Gao Cong, Rui Zhou
2025	J	`jnl`	GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval. Proc. VLDB Endow. Yi Li, Gao Cong
2025	J	`jnl`	LIST: learning to index spatio-textual data for embedding based spatial keyword queries. VLDB J. Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
2025	J	`jnl`	MAAdvisor: Zero-Shot Index Advisor using Multi-Agent LLMs. CoRR Zhaodonghui Li, Haitao Yuan, Jiachen Shi, Hao Zhang, Yu Rong, Gao Cong
2025	J	`jnl`	MAST: Towards Efficient Analytical Query Processing on Point Cloud Data. Proc. ACM Manag. Data Jiangneng Li, Haitao Yuan, Gao Cong, Han Mao Kiah, Shuhao Zhang
2025	J	`jnl`	Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2025	J	`jnl`	NEXT: A New Secondary Index Framework for LSM-based Data Storage. Proc. ACM Manag. Data Jiachen Shi, Jingyi Yang, Gao Cong, Xiaoli Li
2025	J	`jnl`	ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction. IEEE Trans. Knowl. Data Eng. Chenxi Liu, Kethmi Hirushini Hettige, Qianxiong Xu, Cheng Long, Shili Xiang, Gao Cong, Ziyue Li, Rui Zhao
2025	J	`jnl`	STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning. CoRR Yue Jiang, Chenxi Liu, Yile Chen, Qin Chao, Shuai Liu, Gao Cong
2025	J	`jnl`	Self-supervised representation learning for geospatial objects: A survey. Inf. Fusion Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong
2025	J	`jnl`	Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics. IEEE Trans. Mob. Comput. Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2025	J	`jnl`	TATA: An Efficient Framework for Task Transfer in Query Plan Representation. Proc. VLDB Endow. Yue Zhao, Songsong Mo, Gao Cong
2025	J	`jnl`	Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? CoRR Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi
2025	J	`jnl`	TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability. CoRR Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
2024	J	`jnl`	Accurate and Scalable Graph Convolutional Networks for Recommendation Based on Subgraph Propagation. IEEE Trans. Knowl. Data Eng. Xueqi Li, Guoqing Xiao, Yuedan Chen, Kenli Li, Gao Cong
2024	A*	`conf`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2024	A*	`conf`	AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. ICLR Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
2024	J	`jnl`	AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
2024	J	`jnl`	BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data. Proc. ACM Manag. Data Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang
2024	J	`jnl`	CAMAL: Optimizing LSM-trees via Active Learning. CoRR Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong
2024	J	`jnl`	CAMAL: Optimizing LSM-trees via Active Learning. Proc. ACM Manag. Data Weiping Yu, Siqiang Luo, Zihao Yu, Gao Cong
2024	J	`jnl`	CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation. CoRR Ziting Wang, Haitao Yuan, Wei Dong, Gao Cong, Feifei Li
2024	A	`conf`	City Foundation Models for Learning General Purpose Representations from OpenStreetMap. CIKM Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li
2024	A*	`conf`	Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. ICDE Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
2024	J	`jnl`	Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu
2024	J	`jnl`	DeepMeshCity: A Deep Learning Model for Urban Grid Prediction. ACM Trans. Knowl. Discov. Data Chi Zhang, Linhao Cai, Meng Chen, Xiucheng Li, Gao Cong
2024	J	`jnl`	Differentiable Clustering for Graph Attention. IEEE Trans. Knowl. Data Eng. Haicang Zhou, Tiantian He, Yew-Soon Ong, Gao Cong, Quan Chen
2024	—	`conf`	Exploring User Preferences on Geographical Factors for Personalized POI Search. SIGSPATIAL/GIS Shang Liu, Gao Cong, Kaiqi Zhao
2024	J	`jnl`	FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities. CoRR Jingge Xiao, Yile Chen, Gao Cong, Wolfgang Nejdl, Simon Gottschalk
2024	J	`jnl`	LAMP: A Language Model on the Map. CoRR Pasquale Balsebre, Weiming Huang, Gao Cong
2024	J	`jnl`	LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
2024	J	`jnl`	LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. CoRR Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024	J	`jnl`	LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. Proc. VLDB Endow. Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024	A*	`conf`	MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. WWW Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui
2024	—	`conf`	Machine Learning for Databases: Foundations, Paradigms, and Open problems. SIGMOD Conference Companion Gao Cong, Jingyi Yang, Yue Zhao
2024	J	`jnl`	Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. Proc. VLDB Endow. Haitao Yuan, Gao Cong, Guoliang Li
2024	A	`conf`	On Evaluation Metrics for Diversity-enhanced Recommendations. CIKM Xueqi Li, Gao Cong, Guoqing Xiao, Yang Xu, Wenjun Jiang, Kenli Li
2024	J	`jnl`	On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 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
2024	J	`jnl`	PTR: A Pre-trained Language Model for Trajectory Recovery. CoRR Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, Huaiyu Wan
2024	—	`conf`	Personalized and On-device Trajectory Mobility Prediction. HuMob-Challenge@SIGSPATIAL Cuauhtemoc Anda, Ning Cao, Shuai Liu, Shaowei Ying, Gao Cong
2024	A*	`conf`	Quantum Algorithms for the Maximum K-Plex Problem. ICDE Xiaofan Li, Gao Cong, Rui Zhou
2024	J	`jnl`	RankPQO: Learning-to-Rank for Parametric Query Optimization. Proc. VLDB Endow. Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong
2024	A*	`conf`	Road Network Representation Learning with the Third Law of Geography. NeurIPS Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong
2024	J	`jnl`	Road Network Representation Learning with the Third Law of Geography. CoRR Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
2024	A*	`conf`	SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. ICDE Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
2024	J	`jnl`	SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting. CoRR Yue Jiang, Xiucheng Li, Yile Chen, Shuai Liu, Weilong Kong, Antonis F. Lentzakis, Gao Cong
2024	J	`jnl`	Self-supervised Learning for Geospatial AI: A Survey. CoRR Yile Chen, Weiming Huang, Kaiqi Zhao, Yue Jiang, Gao Cong
2024	J	`jnl`	Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics. CoRR Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long
2024	J	`jnl`	Trajectory Similarity Measurement: An Efficiency Perspective. Proc. VLDB Endow. Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi
2024	A*	`conf`	UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. WWW Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen
2024	—	`conf`	UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. EMNLP (Findings) Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
2024	J	`jnl`	UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models. CoRR Yue Jiang, Qin Chao, Yile Chen, Xiucheng Li, Shuai Liu, Gao Cong
2024	J	`jnl`	Zero-shot urban function inference with street view images through prompting a pretrained vision-language model. Int. J. Geogr. Inf. Sci. Weiming Huang, Jing Wang, Gao Cong
2024	J	`jnl`	nextlocllm: next location prediction using LLMs. CoRR Shuai Liu, Ning Cao, Yile Chen, Yue Jiang, Gao Cong
2023	J	`jnl`	A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies. Proc. VLDB Endow. Yue Zhao, Zhaodonghui Li, Gao Cong
2023	J	`jnl`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2023	J	`jnl`	CityFM: City Foundation Models to Solve Urban Challenges. CoRR Pasquale Balsebre, Weiming Huang, Gao Cong, Yi Li
2023	J	`jnl`	Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach. CoRR Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
2023	J	`jnl`	Effectiveness Perspectives and a Deep Relevance Model for Spatial Keyword Queries. Proc. ACM Manag. Data Shang Liu, Gao Cong, Kaiyu Feng, Wanli Gu, Fuzheng Zhang
2023	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR 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
2023	J	`jnl`	Improving the Inference of Topic Models via Infinite Latent State Replications. CoRR Daniel Rugeles, Zhen Hai, Juan Felipe Carmona, Manoranjan Dash, Gao Cong
2023	J	`jnl`	Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries. Proc. ACM Manag. Data Songsong Mo, Yile Chen, Hao Wang, Gao Cong, Zhifeng Bao
2023	J	`jnl`	Mining Geospatial Relationships from Text. Proc. ACM Manag. Data Pasquale Balsebre, Dezhong Yao, Gao Cong, Weiming Huang, Zhen Hai
2023	A*	`conf`	Multivariate Time-series Imputation with Disentangled Temporal Representations. ICLR Shuai Liu, Xiucheng Li, Gao Cong, Yile Chen, Yue Jiang
2023	J	`jnl`	On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR 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
2023	A*	`conf`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2023	J	`jnl`	PLATON: Top-down R-tree Packing with Learned Partition Policy. Proc. ACM Manag. Data Jingyi Yang, Gao Cong
2023	J	`jnl`	Region Embedding With Intra and Inter-View Contrastive Learning. IEEE Trans. Knowl. Data Eng. Liang Zhang, Cheng Long, Gao Cong
2023	J	`jnl`	STAR: A Cache-based Stream Warehouse System for Spatial Data. ACM Trans. Spatial Algorithms Syst. Zhida Chen, Gao Cong, Walid G. Aref
2023	J	`jnl`	Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data Zizhong Meng, Xin Cao, Gao Cong
2023	J	`jnl`	Similar Sports Play Retrieval With Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Zheng Wang, Cheng Long, Gao Cong
2023	J	`jnl`	TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. Proc. VLDB Endow. Yile Chen, Gao Cong, Cuauhtemoc Anda
2023	J	`jnl`	The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. Proc. ACM Manag. Data Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
2023	J	`jnl`	Towards Designing and Learning Piecewise Space-Filling Curves. Proc. VLDB Endow. Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
2023	J	`jnl`	Trajectory Similarity Measurement: An Efficiency Perspective. CoRR Yanchuan Chang, Egemen Tanin, Gao Cong, Christian S. Jensen, Jianzhong Qi
2023	J	`jnl`	UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. CoRR Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen
2023	A*	`conf`	Urban Region Representation Learning with OpenStreetMap Building Footprints. KDD Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang
2023	J	`jnl`	WISK: A Workload-aware Learned Index for Spatial Keyword Queries. CoRR Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang
2023	J	`jnl`	WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang
2022	J	`jnl`	A Linear Time Approach to Computing Time Series Similarity Based on Deep Metric Learning. IEEE Trans. Knowl. Data Eng. Di Yao, Gao Cong, Chao Zhang, Xuying Meng, Rongchang Duan, Jingping Bi
2022	J	`jnl`	A Survey on Trajectory Data Management, Analytics, and Learning. ACM Comput. Surv. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2022	J	`jnl`	A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye
2022	J	`jnl`	ABC: Attributed Bipartite Co-clustering. Proc. VLDB Endow. Junghoon Kim, Kaiyu Feng, Gao Cong, Diwen Zhu, Wenyuan Yu, Chunyan Miao
2022	—	`conf`	DMCS : Density Modularity based Community Search. SIGMOD Conference Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
2022	J	`jnl`	DMCS : Density Modularity based Community Search. CoRR Junghoon Kim, Siqiang Luo, Gao Cong, Wenyuan Yu
2022	J	`jnl`	Deterministic Inference of Topic Models via Maximal Latent State Replication. IEEE Trans. Knowl. Data Eng. Daniel Rugeles, Zhen Hai, Manoranjan Dash, Gao Cong
2022	—	`conf`	Entity Resolution with Hierarchical Graph Attention Networks. SIGMOD Conference Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv
2022	J	`jnl`	Example-based Spatial Pattern Matching. Proc. VLDB Endow. Yue Chen, Kaiyu Feng, Gao Cong, Han Mao Kiah
2022	A*	`conf`	Geospatial Entity Resolution. WWW Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai
2022	J	`jnl`	Learned Index Benefits: Machine Learning Based Index Performance Estimation. Proc. VLDB Endow. Jiachen Shi, Gao Cong, Xiaoli Li
2022	J	`jnl`	Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. Shengnan Guo, Youfang Lin, Huaiyu Wan, Xiucheng Li, Gao Cong
2022	J	`jnl`	Let Trajectories Speak Out the Traffic Bottlenecks. ACM Trans. Intell. Syst. Technol. Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
2022	J	`jnl`	Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong
2022	J	`jnl`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2022	J	`jnl`	PGeoTopic: A Distributed Solution for Mining Geographical Topic Models. IEEE Trans. Knowl. Data Eng. Kaiqi Zhao, Gao Cong, Xiucheng Li
2022	J	`jnl`	Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. CoRR Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2022	J	`jnl`	QueryFormer: A Tree Transformer Model for Query Plan Representation. Proc. VLDB Endow. Yue Zhao, Gao Cong, Jiachen Shi, Chunyan Miao
2022	J	`jnl`	Region Embedding with Intra and Inter-View Contrastive Learning. CoRR Liang Zhang, Cheng Long, Gao Cong
2022	—	`conf`	SAM: Database Generation from Query Workloads with Supervised Autoregressive Models. SIGMOD Conference Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
2022	A	`conf`	The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets? WSDM Jin Yao Chin, Yile Chen, Gao Cong
2022	A*	`conf`	TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. KDD Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
2022	B	`conf`	Unsupervised Selectivity Estimation by Integrating Gaussian Mixture Models and an Autoregressive Model. EDBT Zizhong Meng, Peizhi Wu, Gao Cong, Rong Zhu, Shuai Ma
2021	—	`conf`	A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. SIGMOD Conference Peizhi Wu, Gao Cong
2021	J	`jnl`	A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation. CoRR Peizhi Wu, Gao Cong
2021	J	`jnl`	Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. CoRR 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
2021	J	`jnl`	Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation. Proc. VLDB Endow. 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
2021	A*	`conf`	Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning. KDD Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang
2021	J	`jnl`	Global Context Enhanced Graph Neural Networks for Session-based Recommendation. CoRR Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu
2021	J	`jnl`	Let Trajectories Speak Out the Traffic Bottlenecks. CoRR Hui Luo, Zhifeng Bao, Gao Cong, J. Shane Culpepper, Nguyen Lu Dang Khoa
2021	J	`jnl`	Location- and keyword-based querying of geo-textual data: a survey. VLDB J. Zhida Chen, Lisi Chen, Gao Cong, Christian S. Jensen
2021	J	`jnl`	Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks. Proc. VLDB Endow. Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, Fuzheng Zhang
2021	—	`ed.`	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. CIKM Workshops Gao Cong, Maya Ramanath
2021	A	`conf`	Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
2021	—	`conf`	STAR: A Cache-based Distributed Warehouse System for Spatial Data Streams. SIGSPATIAL/GIS Zhida Chen, Gao Cong, Walid G. Aref
2021	J	`jnl`	Similar Trajectory Search with Spatio-Temporal Deep Representation Learning. ACM Trans. Intell. Syst. Technol. David Alexander Tedjopurnomo, Xiucheng Li, Zhifeng Bao, Gao Cong, Farhana Murtaza Choudhury, A. K. Qin
2021	A*	`conf`	Sinkhorn Collaborative Filtering. WWW Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong
2021	J	`jnl`	The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data. CoRR Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
2021	A*	`conf`	Trajectory Simplification with Reinforcement Learning. ICDE Zheng Wang, Cheng Long, Gao Cong
2020	J	`jnl`	A Survey on Trajectory Data Management, Analytics, and Learning. CoRR Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020	A	`conf`	Context-aware Deep Model for Joint Mobility and Time Prediction. WSDM Yile Chen, Cheng Long, Gao Cong, Chenliang Li
2020	—	`conf`	Densely Connected User Community and Location Cluster Search in Location-Based Social Networks. SIGMOD Conference Junghoon Kim, Tao Guo, Kaiyu Feng, Gao Cong, Arijit Khan, Farhana Murtaza Choudhury
2020	J	`jnl`	Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. CoRR Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020	J	`jnl`	Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020	J	`jnl`	Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation. CoRR Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng
2020	J	`jnl`	Exploring Global Information for Session-based Recommendation. CoRR Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng
2020	A*	`conf`	Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu
2020	A*	`conf`	HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. SIGIR Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li
2020	A	`conf`	HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
2020	J	`jnl`	Modeling Marked Temporal Point Process Using Multi-relation Structure RNN. Cogn. Comput. Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng, Binbin Chen, Gao Cong, Xiaoli Li
2020	A*	`conf`	Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
2020	J	`jnl`	SSTD: A Distributed System on Streaming Spatio-Textual Data. Proc. VLDB Endow. Yue Chen, Zhida Chen, Gao Cong, Ahmed R. Mahmood, Walid G. Aref
2020	—	`conf`	STAR: A Distributed Stream Warehouse System for Spatial Data. SIGMOD Conference Zhida Chen, Gao Cong, Walid G. Aref
2020	J	`jnl`	SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. IEEE Trans. Knowl. Data Eng. Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma
2020	A*	`conf`	Spatial Transition Learning on Road Networks with Deep Probabilistic Models. ICDE Xiucheng Li, Gao Cong, Yun Cheng
2020	A	`conf`	Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. CIKM Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang
2019	A*	`conf`	Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. ICDE Di Yao, Gao Cong, Chao Zhang, Jingping Bi
2019	A*	`conf`	Effective and Efficient Sports Play Retrieval with Deep Representation Learning. KDD Zheng Wang, Cheng Long, Gao Cong, Ce Ju
2019	J	`jnl`	Evaluating pattern matching queries for spatial databases. VLDB J. Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong
2019	J	`jnl`	Exploring market competition over topics in spatio-temporal document collections. VLDB J. Kaiqi Zhao, Gao Cong, Jin Yao Chin, Rong Wen
2019	J	`jnl`	Finding Attribute-Aware Similar Region for Data Analysis. Proc. VLDB Endow. Kaiyu Feng, Gao Cong, Christian S. Jensen, Tao Guo
2019	A*	`conf`	Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
2019	A*	`conf`	Learning Travel Time Distributions with Deep Generative Model. WWW Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng
2019	J	`jnl`	Social Big Data: Mining, Applications, and Beyond. Complex. Xiuzhen Zhang, Shuliang Wang, Gao Cong, Alfredo Cuzzocrea
2019	—	`ch.`	Spatio-Textual Data. Encyclopedia of Big Data Technologies Gao Cong, Christian S. Jensen
2018	A	`conf`	ANR: Aspect-based Neural Recommender. CIKM Jin Yao Chin, Kaiqi Zhao, Shafiq R. Joty, Gao Cong
2018	J	`jnl`	Attention-based Group Recommendation. CoRR Tran Dang Quang Vinh, Tuan-Anh Nguyen Pham, Gao Cong, Xiao-Li Li
2018	Misc	`ed.`	Databases Theory and Applications - 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, Proceedings ADC Junhu Wang, Gao Cong, Jinjun Chen, Jianzhong Qi
2018	A*	`conf`	Deep Representation Learning for Trajectory Similarity Computation. ICDE Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei
2018	—	`conf`	Efficient Selection of Geospatial Data on Maps for Interactive and Visualized Exploration. SIGMOD Conference Tao Guo, Kaiyu Feng, Gao Cong, Zhifeng Bao
2018	A*	`conf`	Efficient Similar Region Search with Deep Metric Learning. KDD Yiding Liu, Kaiqi Zhao, Gao Cong
2018	—	`conf`	Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks. SIGMOD Conference Xiangyu Ke, Arijit Khan, Gao Cong
2018	J	`jnl`	Heron Inference for Bayesian Graphical Models. CoRR Daniel Rugeles, Zhen Hai, Gao Cong, Manoranjan Dash
2018	A*	`conf`	High-dimensional Similarity Learning via Dual-sparse Random Projection. IJCAI Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
2018	J	`jnl`	Hyperbolic Recommender Systems. CoRR Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
2018	A*	`conf`	Inf2vec: Latent Representation Model for Social Influence Embedding. ICDE Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee
2018	A*	`conf`	Linking Fine-Grained Locations in User Comments (Extended Abstract). ICDE Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
2018	J	`jnl`	Linking Fine-Grained Locations in User Comments. IEEE Trans. Knowl. Data Eng. Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan
2018	A*	`conf`	On Spatial Pattern Matching. ICDE Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li
2018	J	`jnl`	PANDA: A System for Partial Topology-based Search on Large Networks. Proc. VLDB Endow. Miao Xie, Sourav S. Bhowmick, Hao Su, Gao Cong, Wook-Shin Han
2018	—	`conf`	POIsam: a System for Efficient Selection of Large-scale Geospatial Data on Maps. SIGMOD Conference Tao Guo, Mingzhao Li, Peishan Li, Zhifeng Bao, Gao Cong
2018	A*	`conf`	Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. IJCAI Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong
2018	J	`jnl`	Representation Learning for Spatial Graphs. CoRR Zheng Wang, Ce Ju, Gao Cong, Cheng Long
2018	A*	`conf`	Reverse k Nearest Neighbor Search over Trajectories (Extended Abstract). ICDE Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong
2018	J	`jnl`	Reverse k Nearest Neighbor Search over Trajectories. IEEE Trans. Knowl. Data Eng. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Gao Cong
2018	A*	`conf`	SURGE: Continuous Detection of Bursty Regions over a Stream of Spatial Objects. ICDE Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma
2018	A*	`conf`	SpaceKey: Exploring Patterns in Spatial Databases. ICDE Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis
2018	—	`ch.`	Spatiotemporal Topic Detection from Social Media. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Kaiqi Zhao, Quan Yuan, Gao Cong
2017	A*	`conf`	A General Model for Out-of-town Region Recommendation. WWW Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong
2017	A*	`conf`	A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC. EMNLP Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li
2017	C	`ed.`	Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings ADMA Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun
2017	J	`jnl`	An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks. Proc. VLDB Endow. Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan
2017	J	`jnl`	Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach. IEEE Trans. Knowl. Data Eng. Zhen Hai, Gao Cong, Kuiyu Chang, Peng Cheng, Chunyan Miao
2017	A	`conf`	Biclustering: An application of Dual Topic Models. SDM Daniel Rugeles, Kaiqi Zhao, Gao Cong, Manoranjan Dash, Shonali Krishnaswamy
2017	A*	`conf`	Discovering Pollution Sources and Propagation Patterns in Urban Area. KDD Xiucheng Li, Yun Cheng, Gao Cong, Lisi Chen
2017	—	`conf`	Distributed Algorithms on Exact Personalized PageRank. SIGMOD Conference Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin
2017	A*	`conf`	Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream. ICDE Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Z. J. Fu, Lisi Chen
2017	A*	`conf`	Influence Maximization in Trajectory Databases. ICDE Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu, Kian-Lee Tan
2017	J	`jnl`	Influence Maximization in Trajectory Databases. IEEE Trans. Knowl. Data Eng. Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu, Kian-Lee Tan
2017	J	`jnl`	MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. IEEE Trans. Neural Networks Learn. Syst. Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu
2017	J	`jnl`	PANDA: toward partial topology-based search on large networks in a single machine. VLDB J. Miao Xie, Sourav S. Bhowmick, Gao Cong, Qing Wang
2017	A*	`conf`	POI2Vec: Geographical Latent Representation for Predicting Future Visitors. AAAI Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee
2017	A	`conf`	PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han
2017	A*	`conf`	Proxies for Shortest Path and Distance Queries. ICDE Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai
2017	J	`jnl`	Reverse k Nearest Neighbor Search over Trajectories. CoRR Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos K. Sellis, Gao Cong
2017	—	`conf`	Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
2017	J	`jnl`	SURGE: Continuous Detection of Bursty Regions Over a Stream of Spatial Objects. CoRR Kaiyu Feng, Tao Guo, Gao Cong, Sourav S. Bhowmick, Shuai Ma
2016	J	`jnl`	A General Recommendation Model for Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang
2016	J	`jnl`	A System for Region Search and Exploration. Proc. VLDB Endow. Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong
2016	A	`conf`	Annotating Points of Interest with Geo-tagged Tweets. CIKM Kaiqi Zhao, Gao Cong, Aixin Sun
2016	A*	`conf`	ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. ICDM Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong
2016	J	`jnl`	Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream. CoRR Zhida Chen, Gao Cong, Zhenjie Zhang, Tom Z. J. Fu, Lisi Chen
2016	A	`conf`	Efficient Processing of Location-Aware Group Preference Queries. CIKM Miao Li, Lisi Chen, Gao Cong, Yu Gu, Ge Yu
2016	A*	`conf`	Joint Recognition and Linking of Fine-Grained Locations from Tweets. WWW Zongcheng Ji, Aixin Sun, Gao Cong, Jialong Han
2016	J	`jnl`	Learning to Find Topic Experts in Twitter via Different Relations. IEEE Trans. Knowl. Data Eng. Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu, Guohui Li
2016	J	`jnl`	Maximizing influence under influence loss constraint in social networks. Expert Syst. Appl. Yifeng Zeng, Xuefeng Chen, Gao Cong, Shengchao Qin, Jing Tang, Yanping Xiang
2016	J	`jnl`	Proxies for Shortest Path and Distance Queries. IEEE Trans. Knowl. Data Eng. Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai
2016	—	`conf`	Querying Geo-Textual Data: Spatial Keyword Queries and Beyond. SIGMOD Conference Gao Cong, Christian S. Jensen
2016	—	`conf`	Querying and mining geo-textual data for exploration: Challenges and opportunities. ICDE Workshops Gao Cong, Kaiyu Feng, Kaiqi Zhao
2016	—	`conf`	Topic Exploration in Spatio-Temporal Document Collections. SIGMOD Conference Kaiqi Zhao, Lisi Chen, Gao Cong
2016	—	`conf`	Towards Best Region Search for Data Exploration. SIGMOD Conference Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Wen-Chih Peng, Chunyan Miao
2016	J	`jnl`	Towards Personalized Maps: Mining User Preferences from Geo-textual Data. Proc. VLDB Endow. Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong
2015	A*	`conf`	A Tri-Role Topic Model for Domain-Specific Question Answering. AAAI Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
2015	A*	`conf`	A general graph-based model for recommendation in event-based social networks. ICDE Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong, Zhenjie Zhang
2015	J	`jnl`	An Association-Based Unified Framework for Mining Features and Opinion Words. ACM Trans. Intell. Syst. Technol. Zhen Hai, Kuiyu Chang, Gao Cong, Christopher C. Yang
2015	—	`conf`	Diversity-Aware Top-k Publish/Subscribe for Text Stream. SIGMOD Conference Lisi Chen, Gao Cong
2015	A*	`conf`	DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization. AAAI Miao Xie, Qiusong Yang, Qing Wang, Gao Cong, Gerard de Melo
2015	—	`conf`	Efficient Algorithms for Answering the m-Closest Keywords Query. SIGMOD Conference Tao Guo, Xin Cao, Gao Cong
2015	J	`jnl`	Efficient Processing of Spatial Group Keyword Queries. ACM Trans. Database Syst. Xin Cao, Gao Cong, Tao Guo, Christian S. Jensen, Beng Chin Ooi
2015	—	`conf`	Efficient algorithms for answering reverse spatial-keyword nearest neighbor queries. SIGSPATIAL/GIS Ying Lu, Gao Cong, Jiaheng Lu, Cyrus Shahabi
2015	A*	`conf`	Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets. AAAI Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li
2015	A*	`conf`	On Information Coverage for Location Category Based Point-of-Interest Recommendation. AAAI Xuefeng Chen, Yifeng Zeng, Gao Cong, Shengchao Qin, Yanping Xiang, Yuanshun Dai
2015	A*	`conf`	Personalized Ranking Metric Embedding for Next New POI Recommendation. IJCAI Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan
2015	A*	`conf`	Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation. SIGIR Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy
2015	A*	`conf`	SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews. ICDE Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu
2015	A*	`conf`	Temporal Spatial-Keyword Top-k publish/subscribe. ICDE Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan
2015	A	`conf`	Where you Instagram?: Associating Your Instagram Photos with Points of Interest. CIKM Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li, Shonali Krishnaswamy
2015	J	`jnl`	Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users. ACM Trans. Inf. Syst. Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun
2014	J	`jnl`	3D Subspace Clustering for Value Investing. IEEE Intell. Syst. Kelvin Sim, Vivekanand Gopalkrishnan, Clifton Phua, Gao Cong
2014	A*	`conf`	COM: a generative model for group recommendation. KDD Quan Yuan, Gao Cong, Chin-Yew Lin
2014	A*	`conf`	Coarse-to-fine review selection via supervised joint aspect and sentiment model. SIGIR Zhen Hai, Gao Cong, Kuiyu Chang, Wenting Liu, Peng Cheng
2014	B	`conf`	Distributed Spatial Keyword Querying on Road Networks. EDBT Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
2014	J	`jnl`	Effective and Efficient Clustering Methods for Correlated Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. Yu Gu, Chunpeng Gao, Gao Cong, Ge Yu
2014	J	`jnl`	Efficient Algorithms and Cost Models for Reverse Spatial-Keyword ACM Trans. Database Syst. Ying Lu, Jiaheng Lu, Gao Cong, Wei Wu, Cyrus Shahabi
2014	A	`conf`	Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences. CIKM Quan Yuan, Gao Cong, Aixin Sun
2014	—	`conf`	In search of influential event organizers in online social networks. SIGMOD Conference Kaiyu Feng, Gao Cong, Sourav S. Bhowmick, Shuai Ma
2014	A*	`conf`	Influence Maximization with Novelty Decay in Social Networks. AAAI Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang
2014	J	`jnl`	Influence Spreading Path and Its Application to the Time Constrained Social Influence Maximization Problem and Beyond. IEEE Trans. Knowl. Data Eng. Bo Liu, Gao Cong, Yifeng Zeng, Dong Xu, Yeow Meng Chee
2014	J	`jnl`	Retrieving Regions of Interest for User Exploration. Proc. VLDB Endow. Xin Cao, Gao Cong, Christian S. Jensen, Man Lung Yiu
2014	J	`jnl`	SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe. Proc. VLDB Endow. Lisi Chen, Yan Cui, Gao Cong, Xin Cao
2014	A	`conf`	Tagging Your Tweets: A Probabilistic Modeling of Hashtag Annotation in Twitter. CIKM Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
2014	J	`jnl`	Where your photo is taken: Geolocation prediction for social images. J. Assoc. Inf. Sci. Technol. Bo Liu, Quan Yuan, Gao Cong, Dong Xu
2013	J	`jnl`	A survey on enhanced subspace clustering. Data Min. Knowl. Discov. Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong
2013	—	`conf`	An efficient query indexing mechanism for filtering geo-textual data. SIGMOD Conference Lisi Chen, Gao Cong, Xin Cao
2013	J	`jnl`	Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman
2013	—	`conf`	Efficient proximity detection among mobile objects in road networks with self-adjustment methods. SIGSPATIAL/GIS Yaqiong Liu, Hock Soon Seah, Gao Cong
2013	J	`jnl`	Front Matter. Proc. VLDB Endow. Gao Cong, Jens Dittrich
2013	A*	`conf`	KORS: Keyword-aware Optimal Route Search System. ICDE Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao
2013	J	`jnl`	Novel document detection for massive data streams using distributed dictionary learning. IBM J. Res. Dev. Shiva Prasad Kasiviswanathan, Gao Cong, Prem Melville, Richard D. Lawrence
2013	J	`jnl`	On predicting the popularity of newly emerging hashtags in Twitter. J. Assoc. Inf. Sci. Technol. Zongyang Ma, Aixin Sun, Gao Cong
2013	J	`jnl`	Spatial Keyword Query Processing: An Experimental Evaluation. Proc. VLDB Endow. Lisi Chen, Gao Cong, Christian S. Jensen, Dingming Wu
2013	A*	`conf`	Time-aware point-of-interest recommendation. SIGIR Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann
2013	A*	`conf`	Who, where, when and what: discover spatio-temporal topics for twitter users. KDD Quan Yuan, Gao Cong, Zongyang Ma, Aixin Sun, Nadia Magnenat-Thalmann
2012	J	`jnl`	A framework for efficient spatial web object retrieval. VLDB J. Dingming Wu, Gao Cong, Christian S. Jensen
2012	J	`jnl`	An evaluation of classification models for question topic categorization. J. Assoc. Inf. Sci. Technol. Bo Qu, Gao Cong, Cuiping Li, Aixin Sun, Hong Chen
2012	J	`jnl`	Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives. ACM Trans. Inf. Syst. Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan
2012	—	`conf`	Author Name Disambiguation Using a New Categorical Distribution Similarity. ECML/PKDD (1) Shaohua Li, Gao Cong, Chunyan Miao
2012	A*	`conf`	Category hierarchy maintenance: a data-driven approach. SIGIR Quan Yuan, Gao Cong, Aixin Sun, Chin-Yew Lin, Nadia Magnenat-Thalmann
2012	J	`jnl`	DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks. Proc. VLDB Endow. Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
2012	J	`jnl`	Efficient Spatial Keyword Search in Trajectory Databases CoRR Gao Cong, Hua Lu, Beng Chin Ooi, Dongxiang Zhang, Meihui Zhang
2012	—	`conf`	Enhancing naive bayes with various smoothing methods for short text classification. WWW (Companion Volume) Quan Yuan, Gao Cong, Nadia Magnenat-Thalmann
2012	J	`jnl`	Evolutionary taxonomy construction from dynamic tag space. World Wide Web Junjie Yao, Bin Cui, Gao Cong, Yuxin Huang
2012	J	`jnl`	Extracting representative motion flows for effective video retrieval. Multim. Tools Appl. Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen
2012	B	`conf`	Functional Feature Extraction and Chemical Retrieval. SSDBM Peng Tang, Siu Cheung Hui, Gao Cong
2012	J	`jnl`	Joint Top-K Spatial Keyword Query Processing. IEEE Trans. Knowl. Data Eng. Dingming Wu, Man Lung Yiu, Gao Cong, Christian S. Jensen
2012	J	`jnl`	Keyword-aware Optimal Route Search CoRR Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao
2012	J	`jnl`	Keyword-aware Optimal Route Search. Proc. VLDB Endow. Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao
2012	J	`jnl`	On the Complexity of View Update Analysis and Its Application to Annotation Propagation. IEEE Trans. Knowl. Data Eng. Gao Cong, Wenfei Fan, Floris Geerts, Jianzhong Li, Jizhou Luo
2012	A	`conf`	One seed to find them all: mining opinion features via association. CIKM Zhen Hai, Kuiyu Chang, Gao Cong
2012	A*	`conf`	Overlapping decomposition for causal graphical modeling. KDD Lei Han, Guojie Song, Gao Cong, Kunqing Xie
2012	J	`jnl`	Partial Evaluation for Distributed XPath Query Processing and Beyond. ACM Trans. Database Syst. Gao Cong, Wenfei Fan, Anastasios Kementsietsidis, Jianzhong Li, Xianmin Liu
2012	J	`jnl`	SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects. Proc. VLDB Endow. Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu
2012	J	`jnl`	Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation CoRR Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou
2012	J	`jnl`	Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation. Proc. VLDB Endow. Lingkun Wu, Xiaokui Xiao, Dingxiong Deng, Gao Cong, Andy Diwen Zhu, Shuigeng Zhou
2012	—	`conf`	Spatial Keyword Queries. DASFAA Workshops Gao Cong
2012	A	`conf`	Spatial Keyword Querying. ER Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu
2012	A*	`conf`	Time Constrained Influence Maximization in Social Networks. ICDM Bo Liu, Gao Cong, Dong Xu, Yifeng Zeng
2012	A	`conf`	Topic-driven reader comments summarization. CIKM Zongyang Ma, Aixin Sun, Quan Yuan, Gao Cong
2012	A*	`conf`	Will this #hashtag be popular tomorrow? SIGIR Zongyang Ma, Aixin Sun, Gao Cong
2011	—	`conf`	Collective spatial keyword querying. SIGMOD Conference Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi
2011	A*	`conf`	Efficient continuously moving top-k spatial keyword query processing. ICDE Dingming Wu, Man Lung Yiu, Christian S. Jensen, Gao Cong
2011	A*	`conf`	Integrating Community Question and Answer Archives. AAAI Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li
2011	—	`conf`	Reverse spatial and textual k nearest neighbor search. SIGMOD Conference Jiaheng Lu, Ying Lu, Gao Cong
2011	A*	`conf`	Simulated Annealing Based Influence Maximization in Social Networks. AAAI Qingye Jiang, Guojie Song, Gao Cong, Yu Wang, Wenjun Si, Kunqing Xie
2010	A*	`conf`	A generalized framework of exploring category information for question retrieval in community question answer archives. WWW Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen
2010	A*	`conf`	Community-based greedy algorithm for mining top-K influential nodes in mobile social networks. KDD Yu Wang, Gao Cong, Guojie Song, Kunqing Xie
2010	A*	`conf`	Content-enriched classifier for web video classification. SIGIR Bin Cui, Ce Zhang, Gao Cong
2010	B	`conf`	Evolutionary Taxonomy Construction from Dynamic Tag Space. WISE Bin Cui, Junjie Yao, Gao Cong, Yuxin Huang
2010	A	`conf`	Exploring domain-specific term weight in archived question search. CIKM Zhaoyan Ming, Tat-Seng Chua, Gao Cong
2010	—	`conf`	ISIS: A New Approach for Efficient Similarity Search in Sparse Databases. DASFAA (2) Bin Cui, Jiakui Zhao, Gao Cong
2010	J	`jnl`	Mining Significant Semantic Locations From GPS Data. Proc. VLDB Endow. Xin Cao, Gao Cong, Christian S. Jensen
2010	J	`jnl`	Retrieving Top-k Prestige-Based Relevant Spatial Web Objects. Proc. VLDB Endow. Xin Cao, Gao Cong, Christian S. Jensen
2010	J	`jnl`	Updating XML views and querying XML views with update syntax. Int. J. Comput. Sci. Eng. Gao Cong, Yingxin Li
2010	—	`conf`	Using Transactional Data from ERP Systems for Expert Finding. DEXA (2) Lars K. Schunk, Gao Cong
2009	B	`conf`	A Revisit of Query Expansion with Different Semantic Levels. DASFAA Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang
2009	A*	`conf`	Efficient Algorithm for Computing Link-Based Similarity in Real World Networks. ICDM Yuanzhe Cai, Gao Cong, Xu Jia, Hongyan Liu, Jun He, Jiaheng Lu, Xiaoyong Du
2009	J	`jnl`	Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects. Proc. VLDB Endow. Gao Cong, Christian S. Jensen, Dingming Wu
2009	A*	`conf`	Routing Questions to the Right Users in Online Communities. ICDE Yanhong Zhou, Gao Cong, Bin Cui, Christian S. Jensen, Junjie Yao
2009	A	`conf`	The use of categorization information in language models for question retrieval. CIKM Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang
2008	A*	`conf`	Finding question-answer pairs from online forums. SIGIR Gao Cong, Long Wang, Chin-Yew Lin, Young-In Song, Yueheng Sun
2008	A*	`conf`	Semantic similarity based on compact concept ontology. WWW Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong
2008	J	`jnl`	Updating Recursive XML Views of Relations. J. Comput. Sci. Technol. Byron Choi, Gao Cong, Wenfei Fan, Stratis Viglas
2008	A*	`conf`	Using Conditional Random Fields to Extract Contexts and Answers of Questions from Online Forums. ACL Shilin Ding, Gao Cong, Chin-Yew Lin, Xiaoyan Zhu
2007	A*	`conf`	Detecting Erroneous Sentences using Automatically Mined Sequential Patterns. ACL Guihua Sun, Xiaohua Liu, Gao Cong, Ming Zhou, Zhongyang Xiong, John Lee, Chin-Yew Lin
2007	—	`conf`	Distributed query evaluation with performance guarantees. SIGMOD Conference Gao Cong, Wenfei Fan, Anastasios Kementsietsidis
2007	A*	`conf`	Improving Data Quality: Consistency and Accuracy. VLDB Gao Cong, Wenfei Fan, Floris Geerts, Xibei Jia, Shuai Ma
2007	A*	`conf`	Mining Sequential Patterns and Tree Patterns to Detect Erroneous Sentences. AAAI Guihua Sun, Gao Cong, Xiaohua Liu, Chin-Yew Lin, Ming Zhou
2007	—	`conf`	Query and Update Through XML Views. DNIS Gao Cong
2007	—	`conf`	Querying xml with update syntax. SIGMOD Conference Wenfei Fan, Gao Cong, Philip Bohannon
2007	A*	`conf`	Updating Recursive XML Views of Relations. ICDE Byron Choi, Gao Cong, Wenfei Fan, Stratis Viglas
2006	A*	`conf`	An Estimation System for XPath Expressions. ICDE Hanyu Li, Mong-Li Lee, Wynne Hsu, Gao Cong
2006	A	`conf`	Annotation propagation revisited for key preserving views. CIKM Gao Cong, Wenfei Fan, Floris Geerts
2006	A*	`conf`	Exploring composite acoustic features for efficient music similarity query. ACM Multimedia Bin Cui, Jialie Shen, Gao Cong, Heng Tao Shen, Cui Yu
2006	B	`conf`	Summarizing Frequent Patterns Using Profiles. DASFAA Gao Cong, Bin Cui, Yingxin Li, Zonghong Zhang
2006	A*	`conf`	Using Partial Evaluation in Distributed Query Evaluation. VLDB Peter Buneman, Gao Cong, Wenfei Fan, Anastasios Kementsietsidis
2005	—	`conf`	Mining Top-k Covering Rule Groups for Gene Expression Data. SIGMOD Conference Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
2005	C	`conf`	On Effective E-mail Classification via Neural Networks. DEXA Bin Cui, Anirban Mondal, Jialie Shen, Gao Cong, Kian-Lee Tan
2004	B	`conf`	COBBLER: Combining Column and Row Enumeration for Closed Pattern Discovery. SSDBM Feng Pan, Anthony K. H. Tung, Gao Cong, Xin Xu
2004	—	`conf`	FARMER: Finding Interesting Rule Groups in Microarray Datasets. SIGMOD Conference Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Jiong Yang
2004	A*	`conf`	Go Green: Recycle and Reuse Frequent Patterns. ICDE Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung
2004	A*	`conf`	Incremental maintenance of quotient cube for median. KDD Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wang
2004	A*	`conf`	Mining Frequent Closed Patterns in Microarray Data. ICDM Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Feng Pan
2004	A*	`conf`	Semantic Mining and Analysis of Gene Expression Data. VLDB Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. H. Tung
2004	B	`conf`	Semi-supervised Text Classification Using Partitioned EM. DASFAA Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
2003	A*	`conf`	Carpenter: finding closed patterns in long biological datasets. KDD Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed Javeed Zaki
2002	A	`conf`	Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM Gao Cong, Lan Yi, Bing Liu, Ke Wang
2002	A*	`conf`	Speed-up Iterative Frequent Itemset Mining with Constraint Changes. ICDM Gao Cong, Bing Liu