Xin Cao - RankMe

119 papers A* 25A 9B 3Misc 7Journal 64Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning. CoRR Jiate Liu, Zebin Chen, Shaobo Qiao, Mingchen Ju, Danting Zhang, Bocheng Han, Shuyue Yu, Xin Shu, Jingling Wu, Dong Wen, Xin Cao, Guanfeng Liu, Zhengyi Yang
2026	J	`jnl`	Centrality-Based Node Feature Augmentation for Robust Network Alignment. IEEE Trans. Netw. Sci. Eng. Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2026	J	`jnl`	Fast heuristic search algorithms for submodular cost submodular cover under routing constraints. Expert Syst. Appl. Miao Yu, Xuefeng Chen, Shuang Liu, Liang Feng, Xin Cao, Zexuan Zhu
2026	J	`jnl`	RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning. CoRR Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang
2025	J	`jnl`	ACE: A Cardinality Estimator for Set-Valued Queries. CoRR Yufan Sheng, Xin Cao, Kaiqi Zhao, Yixiang Fang, Jianzhong Qi, Wenjie Zhang, Christian S. Jensen
2025	J	`jnl`	ACE: A Cardinality Estimator for Set-Valued Queries. Proc. VLDB Endow. Yufan Sheng, Xin Cao, Kaiqi Zhao, Yixiang Fang, Jianzhong Qi, Wenjie Zhang, Christian S. Jensen
2025	J	`jnl`	Boosting GNN-Based Link Prediction via PU-AUC Optimization. IEEE Trans. Knowl. Data Eng. Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao, Chang Yao, Xuemin Lin
2025	—	`conf`	Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. AI (1) Xushuo Tang, Yi Ding, Zhengyi Yang, Yin Chen, Yongrui Gu, Wenke Yang, Mingchen Ju, Xin Cao, Yongfei Liu, Wenjie Zhang
2025	J	`jnl`	Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. CoRR Xushuo Tang, Yi Ding, Zhengyi Yang, Yin Chen, Yongrui Gu, Wenke Yang, Mingchen Ju, Xin Cao, Yongfei Liu, Wenjie Zhang
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	A*	`conf`	Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint. AAAI Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
2025	A	`conf`	OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation. CIKM Xuhui Li, Zhengquan Luo, Zihui Cui, Xin Cao, Zhiqiang Xu
2025	A	`conf`	Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons. AISTATS Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
2025	Misc	`conf`	ReaCH-TGN: Contrastive Hop and Time-Aware Temporal Graph Network for Reachability Prediction. ADC Zhuoqing Xu, Xin Cao, Zhengyi Yang
2025	B	`conf`	SemaSK: Answering Semantics-aware Spatial Keyword Queries with Large Language Models. EDBT Zesong Zhang, Jianzhong Qi, Xin Cao, Christian S. Jensen
2025	J	`jnl`	SemaSK: Answering Semantics-aware Spatial Keyword Queries with Large Language Models. CoRR Zesong Zhang, Jianzhong Qi, Xin Cao, Christian S. Jensen
2024	J	`jnl`	Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs. IEEE Trans. Emerg. Top. Comput. Intell. Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang
2024	J	`jnl`	Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao
2024	A*	`conf`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	J	`jnl`	Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King
2024	Misc	`conf`	Distributed Hop-Constrained s-t Simple Path Enumeration in Labelled Graphs. ADC Xia Li, Zhengyi Yang, Kongzhang Hao, Xin Shu, Xin Cao, Wenjie Zhang
2024	J	`jnl`	Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu
2024	J	`jnl`	Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2024	Misc	`conf`	Efficient Answering of k-Reachability on Temporal Bipartite Graphs. ADC Zhuoqing Xu, Zhengyi Yang, Xiaoshuang Chen, Huangleshuai He, Xin Cao
2024	J	`jnl`	LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs. CoRR Siqing Li, Jin-Duk Park, Wei Huang, Xin Cao, Won-Yong Shin, Zhiqiang Xu
2024	A*	`conf`	Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser
2024	J	`jnl`	Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. CoRR Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin
2023	J	`jnl`	An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2023	—	`conf`	Approximate Indexing for Top-k Queries over Massive Spatio-textual Data Streams. ICDEW Hangjia Cen, Xike Xie, Xin Cao, Jiali Weng
2023	A*	`conf`	Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. KDD Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
2023	J	`jnl`	Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. CoRR Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
2023	J	`jnl`	Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling. CoRR Linhan Zhang, Qian Chen, Wen Wang, Yuxin Jiang, Bing Li, Wei Wang, Xin Cao
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`	GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2023	J	`jnl`	Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective. CoRR Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki
2023	J	`jnl`	LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. CoRR Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
2023	J	`jnl`	LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. Proc. VLDB Endow. Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang
2023	J	`jnl`	Node Feature Augmentation Vitaminizes Network Alignment. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2023	J	`jnl`	On the Power of Gradual Network Alignment Using Dual-Perception Similarities. IEEE Trans. Pattern Anal. Mach. Intell. Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2023	J	`jnl`	SR-R CoRR Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser
2023	J	`jnl`	Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data Zizhong Meng, Xin Cao, Gao Cong
2023	B	`conf`	Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning. EDBT Yanchuan Chang, Egemen Tanin, Xin Cao, Jianzhong Qi
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
2023	Misc	`conf`	Weighted Sampling for Masked Language Modeling. ICASSP Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang
2023	J	`jnl`	Weighted Sampling for Masked Language Modeling. CoRR Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang
2022	J	`jnl`	ABLE: Meta-Path Prediction in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang
2022	A*	`conf`	Budgeted Sequence Submodular Maximization. IJCAI Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou
2022	A*	`conf`	Constrained Path Search with Submodular Function Maximization. ICDE Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	J	`jnl`	Effective Community Search over Large Star-Schema Heterogeneous Information Networks. Proc. VLDB Endow. Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li
2022	J	`jnl`	Efficient Radius-Bounded Community Search in Geo-Social Networks. IEEE Trans. Knowl. Data Eng. Kai Wang, Shuting Wang, Xin Cao, Lu Qin
2022	A*	`conf`	Estimating Node Importance Values in Heterogeneous Information Networks. ICDE Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska
2022	J	`jnl`	GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs. CoRR Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2022	J	`jnl`	Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	A*	`conf`	Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	A	`conf`	GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2022	B	`conf`	Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs. WISE Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang, Long Yuan, Xuemin Lin
2022	Misc	`conf`	Hop-Constrained s-t Simple Path Enumeration in Large Uncertain Graphs. ADC Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang
2022	—	`conf`	MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction. ACL (Findings) Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao
2022	A*	`conf`	Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. SIGIR Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao
2022	J	`jnl`	Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. CoRR Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao
2022	J	`jnl`	On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
2021	J	`jnl`	CP-GNN: A Software for Community Detection in Heterogeneous Information Networks. Softw. Impacts Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021	A	`conf`	Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CIKM Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021	J	`jnl`	Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CoRR Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang
2021	J	`jnl`	Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao
2021	A*	`conf`	KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network. NeurIPS Yu Hao, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang
2021	J	`jnl`	MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction. CoRR Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao
2021	A*	`conf`	On Efficient and Scalable Time-Continuous Spatial Crowdsourcing. ICDE Ting Wang, Xike Xie, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao
2021	A	`conf`	Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. CIKM Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang
2020	J	`jnl`	A unified linear convergence analysis of k-SVD. Memetic Comput. Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao
2020	J	`jnl`	Effective and Efficient Community Search over Large Heterogeneous Information Networks. Proc. VLDB Endow. Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao
2020	A*	`conf`	Efficient Attribute-Constrained Co-Located Community Search. ICDE Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen
2020	A*	`conf`	Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2020	A*	`conf`	Inductive Link Prediction for Nodes Having Only Attribute Information. IJCAI Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
2020	J	`jnl`	Inductive Link Prediction for Nodes Having Only Attribute Information. CoRR Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
2020	—	`conf`	Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. SIGMOD Conference Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka
2020	J	`jnl`	Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. CoRR Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka
2020	J	`jnl`	Multiple-user closest keyword-set querying in road networks. Inf. Sci. Sen Zhao, Xin Cao
2020	J	`jnl`	On Efficient and Scalable Time-Continuous Spatial Crowdsourcing - Full Version. CoRR Ting Wang, Xike Xie, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao
2020	A*	`conf`	Optimal Region Search with Submodular Maximization. IJCAI Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao
2019	A*	`conf`	Accelerate MaxBRkNN Search by kNN Estimation. ICDE Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang
2019	A	`conf`	Best Co-Located Community Search in Attributed Networks. CIKM Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu
2019	Misc	`ed.`	Databases Theory and Applications, 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019, Proceedings. ADC Lijun Chang, Junhao Gan, Xin Cao
2019	—	`conf`	Efficient Search of the Most Cohesive Co-located Community in Attributed Networks. DASFAA (1) Jiehuan Luo, Xin Cao, Qiang Qu, Yaqiong Liu
2019	J	`jnl`	PrivSem: Protecting location privacy using semantic and differential privacy. World Wide Web Yanhui Li, Xin Cao, Ye Yuan, Guoren Wang
2018	J	`jnl`	Augmented keyword search on spatial entity databases. VLDB J. Dongxiang Zhang, Yuchen Li, Xin Cao, Jie Shao, Heng Tao Shen
2018	A*	`conf`	Convergence Analysis of Gradient Descent for Eigenvector Computation. IJCAI Zhiqiang Xu, Xin Cao, Xin Gao
2018	A*	`conf`	Efficient Computing of Radius-Bounded k-Cores. ICDE Kai Wang, Xin Cao, Xuemin Lin, Wenjie Zhang, Lu Qin
2018	A*	`conf`	Location-Aware Top-k Term Publish/Subscribe. ICDE Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis
2018	—	`conf`	PrivTS: Differentially Private Frequent Time-Constrained Sequential Pattern Mining. DASFAA (2) Yanhui Li, Guoren Wang, Ye Yuan, Xin Cao, Long Yuan, Xuemin Lin
2017	Misc	`ed.`	Databases Theory and Applications - 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25-28, 2017, Proceedings ADC Zi Huang, Xiaokui Xiao, Xin Cao
2017	A	`conf`	Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han
2017	—	`conf`	Distributed Algorithms on Exact Personalized PageRank. SIGMOD Conference Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin
2017	J	`jnl`	Group-based collective keyword querying in road networks. Inf. Process. Lett. Sen Su, Sen Zhao, Xiang Cheng, Rong Bi, Xin Cao, Jie Wang
2016	A*	`conf`	Accelerating large scale centroid-based clustering with locality sensitive hashing. ICDE Ryan McConville, Xin Cao, Weiru Liu, Paul Miller
2016	J	`jnl`	Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries. Proc. VLDB Endow. Farhana Murtaza Choudhury, J. Shane Culpepper, Timos K. Sellis, Xin Cao
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	A*	`conf`	Optimal Route Search with the Coverage of Users' Preferences. IJCAI Yifeng Zeng, Xuefeng Chen, Xin Cao, Shengchao Qin, Marc Cavazza, Yanping Xiang
2015	A*	`conf`	Temporal Spatial-Keyword Top-k publish/subscribe. ICDE Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan
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	—	`—`	Spatial keyword querying beyond the single geo-textual object granularity Xin Cao
2013	—	`conf`	An efficient query indexing mechanism for filtering geo-textual data. SIGMOD Conference Lisi Chen, Gao Cong, Xin Cao
2013	A*	`conf`	KORS: Keyword-aware Optimal Route Search System. ICDE Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao
2012	A*	`conf`	A Foundation for Efficient Indoor Distance-Aware Query Processing. ICDE Hua Lu, Xin Cao, Christian S. Jensen
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	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`	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	A	`conf`	Spatial Keyword Querying. ER Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu
2011	—	`conf`	Collective spatial keyword querying. SIGMOD Conference Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi
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	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
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