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ORCIDXin Cao 0001
Person information
- affiliation: University of New South Wales, Sydney, NSW, Australia
- affiliation (former): Queen's University Belfast, UK
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (former): Aalborg Universitet, Denmark
Other persons with the same name
- Xin Cao — disambiguation page
- Xin Cao 0002
![[0000-0001-5789-7582]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5789-7582")
— Beijing Normal University, Beijing, China - Xin Cao 0003 — Southwest University of Science and Technology, Mianyang, China
- Xin Cao 0004 — Northwest University, Xi'an, China
- Xin Cao 0005 — University of Electronic Science and Technology of China, Chengdu, China
- Xin Cao 0006 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Xin Cao 0007 — Xi'an Jiaotong University, Xi'an, China
- Xin Cao 0008 — Tokyo Denki University, Tokyo, Japan
- Xin Cao 0009 — Harbin Institute of Technology, Harbin, Heilongjiang, China
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2020 – today
- 2024
[j29]Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. IEEE Trans. Emerg. Top. Comput. 12(1): 150-162 (2024)- [j28]Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang:
Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 503-518 (2024) - [j27]Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu:
Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. 36(7): 2967-2979 (2024) - [j26]Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao:
Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12117-12129 (2024) - [c44]Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI 2024: 5145-5153 - [c43]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [i24]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i23]Yong-Min Shin, Siqing Li, Xin Cao, Won-Yong Shin:
Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. CoRR abs/2406.04612 (2024) - 2023
- [j25]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. Proc. ACM Manag. Data 1(2): 187:1-187:27 (2023) - [j24]Zizhong Meng, Xin Cao, Gao Cong:
Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes. Proc. ACM Manag. Data 1(4): 261:1-261:26 (2023) - [j23]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15292-15307 (2023) - [j22]Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang:
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. Proc. VLDB Endow. 16(10): 2605-2617 (2023) - [j21]Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 35(12): 12693-12707 (2023) - [c42]Yanchuan Chang, Egemen Tanin, Xin Cao, Jianzhong Qi:
Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning. EDBT 2023: 144-156 - [c41]Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang:
Weighted Sampling for Masked Language Modeling. ICASSP 2023: 1-5 - [c40]Hangjia Cen, Xike Xie, Xin Cao, Jiali Weng:
Approximate Indexing for Top-k Queries over Massive Spatio-textual Data Streams. ICDEW 2023: 8-11 - [c39]Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin:
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. KDD 2023: 1808-1819 - [i22]Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang:
Weighted Sampling for Masked Language Modeling. CoRR abs/2302.14225 (2023) - [i21]Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang:
WISK: A Workload-aware Learned Index for Spatial Keyword Queries. CoRR abs/2302.14287 (2023) - [i20]Jian Gao, Xin Cao, Xin Yao, Gong Zhang, Wei Wang:
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves. CoRR abs/2304.12635 (2023) - [i19]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Node Feature Augmentation Vitaminizes Network Alignment. CoRR abs/2304.12751 (2023) - [i18]Linhan Zhang, Qian Chen, Wen Wang, Yuxin Jiang, Bing Li, Wei Wang, Xin Cao:
Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling. CoRR abs/2305.14717 (2023) - [i17]Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin:
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. CoRR abs/2305.18885 (2023) - [i16]Wei Huang, Yuan Cao, Haonan Wang, Xin Cao, Taiji Suzuki:
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective. CoRR abs/2306.13926 (2023) - [i15]Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser:
SR-R2KAC: Improving Single Image Defocus Deblurring. CoRR abs/2307.16242 (2023) - [i14]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - [i13]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - 2022
- [j20]Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li:
Effective Community Search over Large Star-Schema Heterogeneous Information Networks. Proc. VLDB Endow. 15(11): 2307-2320 (2022) - [j19]Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. 15(11): 2733-2746 (2022) - [j18]Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang:
ABLE: Meta-Path Prediction in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 16(4): 73:1-73:21 (2022) - [j17]Kai Wang, Shuting Wang, Xin Cao, Lu Qin:
Efficient Radius-Bounded Community Search in Geo-Social Networks. IEEE Trans. Knowl. Data Eng. 34(9): 4186-4200 (2022) - [c38]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). AAAI 2022: 13027-13028 - [c37]Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao:
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction. ACL (Findings) 2022: 396-409 - [c36]Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang:
Hop-Constrained s-t Simple Path Enumeration in Large Uncertain Graphs. ADC 2022: 115-127 - [c35]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation. CIKM 2022: 4374-4378 - [c34]Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng:
Constrained Path Search with Submodular Function Maximization. ICDE 2022: 325-337 - [c33]Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska:
Estimating Node Importance Values in Heterogeneous Information Networks. ICDE 2022: 846-858 - [c32]Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou:
Budgeted Sequence Submodular Maximization. IJCAI 2022: 4733-4739 - [c31]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. SIGIR 2022: 1358-1368 - [c30]Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang, Long Yuan, Xuemin Lin:
Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs. WISE 2022: 49-64 - [i12]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
On the Power of Gradual Network Alignment Using Dual-Perception Similarities. CoRR abs/2201.10945 (2022) - [i11]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. CoRR abs/2204.08807 (2022) - [i10]Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2206.09112 (2022) - [i9]Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs. CoRR abs/2208.06144 (2022) - [i8]Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. CoRR abs/2208.11025 (2022) - 2021
- [j16]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
CP-GNN: A Software for Community Detection in Heterogeneous Information Networks. Softw. Impacts 10: 100169 (2021) - [c29]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CIKM 2021: 1170-1180 - [c28]Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang:
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. CIKM 2021: 2517-2526 - [c27]Ting Wang, Xike Xie, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao:
On Efficient and Scalable Time-Continuous Spatial Crowdsourcing. ICDE 2021: 1212-1223 - [c26]Yu Hao, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang:
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network. NeurIPS 2021: 1700-1712 - [i7]Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Inductive Edgeless Network Embedding. CoRR abs/2104.05225 (2021) - [i6]Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. CoRR abs/2109.02058 (2021) - [i5]Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao:
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction. CoRR abs/2110.06651 (2021) - 2020
- [j15]Sen Zhao, Xin Cao:
Multiple-user closest keyword-set querying in road networks. Inf. Sci. 509: 133-149 (2020) - [j14]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - [j13]Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao:
Effective and Efficient Community Search over Large Heterogeneous Information Networks. Proc. VLDB Endow. 13(6): 854-867 (2020) - [c25]Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen:
Efficient Attribute-Constrained Co-Located Community Search. ICDE 2020: 1201-1212 - [c24]Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. IJCAI 2020: 1209-1215 - [c23]Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao:
Optimal Region Search with Submodular Maximization. IJCAI 2020: 1216-1222 - [c22]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c21]Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka:
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. SIGMOD Conference 2020: 1197-1212 - [i4]Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka:
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach. CoRR abs/2002.06442 (2020) - [i3]Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang:
Inductive Link Prediction for Nodes Having Only Attribute Information. CoRR abs/2007.08053 (2020) - [i2]Ting Wang, Xike Xie, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao:
On Efficient and Scalable Time-Continuous Spatial Crowdsourcing - Full Version. CoRR abs/2010.15404 (2020)
2010 – 2019
- 2019
- [j12]Yanhui Li, Xin Cao, Ye Yuan, Guoren Wang:
PrivSem: Protecting location privacy using semantic and differential privacy. World Wide Web 22(6): 2407-2436 (2019) - [c20]Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu:
Best Co-Located Community Search in Attributed Networks. CIKM 2019: 2453-2456 - [c19]Jiehuan Luo, Xin Cao, Qiang Qu, Yaqiong Liu:
Efficient Search of the Most Cohesive Co-located Community in Attributed Networks. DASFAA (1) 2019: 398-415 - [c18]Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang:
Accelerate MaxBRkNN Search by kNN Estimation. ICDE 2019: 1730-1733 - [e2]Lijun Chang, Junhao Gan, Xin Cao:
Databases Theory and Applications, 30th Australasian Database Conference, ADC 2019, Sydney, NSW, Australia, January 29 - February 1, 2019, Proceedings. Lecture Notes in Computer Science 11393, Springer 2019, ISBN 978-3-030-12078-8 [contents] - 2018
- [j11]Dongxiang Zhang, Yuchen Li, Xin Cao, Jie Shao, Heng Tao Shen:
Augmented keyword search on spatial entity databases. VLDB J. 27(2): 225-244 (2018) - [c17]Yanhui Li, Guoren Wang, Ye Yuan, Xin Cao, Long Yuan, Xuemin Lin:
PrivTS: Differentially Private Frequent Time-Constrained Sequential Pattern Mining. DASFAA (2) 2018: 92-111 - [c16]Kai Wang, Xin Cao, Xuemin Lin, Wenjie Zhang, Lu Qin:
Efficient Computing of Radius-Bounded k-Cores. ICDE 2018: 233-244 - [c15]Lisi Chen, Shuo Shang, Zhiwei Zhang, Xin Cao, Christian S. Jensen, Panos Kalnis:
Location-Aware Top-k Term Publish/Subscribe. ICDE 2018: 749-760 - [c14]Zhiqiang Xu, Xin Cao, Xin Gao:
Convergence Analysis of Gradient Descent for Eigenvector Computation. IJCAI 2018: 2933-2939 - 2017
- [j10]Sen Su, Sen Zhao, Xiang Cheng, Rong Bi, Xin Cao, Jie Wang:
Group-based collective keyword querying in road networks. Inf. Process. Lett. 118: 83-90 (2017) - [c13]Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM 2017: 617-626 - [c12]Tao Guo, Xin Cao, Gao Cong, Jiaheng Lu, Xuemin Lin:
Distributed Algorithms on Exact Personalized PageRank. SIGMOD Conference 2017: 479-494 - [e1]Zi Huang, Xiaokui Xiao, Xin Cao:
Databases Theory and Applications - 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, September 25-28, 2017, Proceedings. Lecture Notes in Computer Science 10538, Springer 2017, ISBN 978-3-319-68154-2 [contents] - 2016
- [j9]Farhana Murtaza Choudhury, J. Shane Culpepper, Timos K. Sellis, Xin Cao:
Maximizing Bichromatic Reverse Spatial and Textual k Nearest Neighbor Queries. Proc. VLDB Endow. 9(6): 456-467 (2016) - [c11]Ryan McConville, Xin Cao, Weiru Liu, Paul Miller:
Accelerating large scale centroid-based clustering with locality sensitive hashing. ICDE 2016: 649-660 - 2015
- [j8]Xin Cao, Gao Cong, Tao Guo, Christian S. Jensen, Beng Chin Ooi:
Efficient Processing of Spatial Group Keyword Queries. ACM Trans. Database Syst. 40(2): 13:1-13:48 (2015) - [c10]Lisi Chen, Gao Cong, Xin Cao, Kian-Lee Tan:
Temporal Spatial-Keyword Top-k publish/subscribe. ICDE 2015: 255-266 - [c9]Yifeng Zeng, Xuefeng Chen, Xin Cao, Shengchao Qin, Marc Cavazza, Yanping Xiang:
Optimal Route Search with the Coverage of Users' Preferences. IJCAI 2015: 2118-2124 - [c8]Tao Guo, Xin Cao, Gao Cong:
Efficient Algorithms for Answering the m-Closest Keywords Query. SIGMOD Conference 2015: 405-418 - 2014
- [b1]Xin Cao:
Spatial keyword querying beyond the single geo-textual object granularity. Nanyang Technological University, Singapore, 2014 - [j7]Xin Cao, Gao Cong, Christian S. Jensen, Man Lung Yiu:
Retrieving Regions of Interest for User Exploration. Proc. VLDB Endow. 7(9): 733-744 (2014) - [j6]Lisi Chen, Yan Cui, Gao Cong, Xin Cao:
SOPS: A System for Efficient Processing of Spatial-Keyword Publish/Subscribe. Proc. VLDB Endow. 7(13): 1601-1604 (2014) - 2013
- [c7]Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao:
KORS: Keyword-aware Optimal Route Search System. ICDE 2013: 1340-1343 - [c6]Lisi Chen, Gao Cong, Xin Cao:
An efficient query indexing mechanism for filtering geo-textual data. SIGMOD Conference 2013: 749-760 - 2012
- [j5]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. Proc. VLDB Endow. 5(11): 1136-1147 (2012) - [j4]Xin Cao, Gao Cong, Christian S. Jensen, Jun Jie Ng, Beng Chin Ooi, Nhan-Tue Phan, Dingming Wu:
SWORS: A System for the Efficient Retrieval of Relevant Spatial Web Objects. Proc. VLDB Endow. 5(12): 1914-1917 (2012) - [j3]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Quan Yuan:
Approaches to Exploring Category Information for Question Retrieval in Community Question-Answer Archives. ACM Trans. Inf. Syst. 30(2): 7:1-7:38 (2012) - [c5]Xin Cao, Lisi Chen, Gao Cong, Christian S. Jensen, Qiang Qu, Anders Skovsgaard, Dingming Wu, Man Lung Yiu:
Spatial Keyword Querying. ER 2012: 16-29 - [c4]Hua Lu, Xin Cao, Christian S. Jensen:
A Foundation for Efficient Indoor Distance-Aware Query Processing. ICDE 2012: 438-449 - [i1]Xin Cao, Lisi Chen, Gao Cong, Xiaokui Xiao:
Keyword-aware Optimal Route Search. CoRR abs/1208.0077 (2012) - 2011
- [c3]Xin Cao, Gao Cong, Christian S. Jensen, Beng Chin Ooi:
Collective spatial keyword querying. SIGMOD Conference 2011: 373-384 - 2010
- [j2]Xin Cao, Gao Cong, Christian S. Jensen:
Retrieving Top-k Prestige-Based Relevant Spatial Web Objects. Proc. VLDB Endow. 3(1): 373-384 (2010) - [j1]Xin Cao, Gao Cong, Christian S. Jensen:
Mining Significant Semantic Locations From GPS Data. Proc. VLDB Endow. 3(1): 1009-1020 (2010) - [c2]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen:
A generalized framework of exploring category information for question retrieval in community question answer archives. WWW 2010: 201-210
2000 – 2009
- 2009
- [c1]Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang:
The use of categorization information in language models for question retrieval. CIKM 2009: 265-274
Coauthor Index
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