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Xiaohui Yu 0001
Person information
- affiliation: York University, Toronto, ON, Canada
Other persons with the same name
- Xiaohui Yu 0002 — Zhejiang A and F University, Hangzhou, China
- Xiaohui Yu 0003 — Houston Methodist Hospital, Houston, TX, USA
- Xiaohui Yu 0004 — Nanjing University of Posts and Telecommunications, China
- Xiaohui Yu 0005 — Beijing Wuzi University, Beijing, China
- Xiaohui Yu 0006 — National University of Singapore
- Xiaohui Yu 0007 — Wuhan Institute of Physics and Mathematics, Wuhan, China
- Xiaohui Yu 0008 — Jilin University, College of Communication Engineering, Changchun, China
- Xiaohui Yu 0009 — Guangdong University of Foreign Studies, School of Information Science and Technology, Guangzhou, China
- Xiaohui Yu 0010 — Zhejiang University, School of Mathematical Sciences, Hangzhou, China
- Xiaohui Yu 0011 — Tangshan Normal University, Computer Science Department, China
- Xiaohui Yu 0012 — State Grid Dalian Electric Power Supply Company, Dalian, China
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2020 – today
- 2025
- [c69]Daren Chao, Nick Koudas, Xiaohui Yu, Yueting Chen:
Ensembling Object Detectors for Effective Video Query Processing. EDBT 2025: 66-79 - 2024
- [j46]Xiaohui Yu, Jinfei Liu:
Special Issue on Data Economy and Data Marketplaces. IEEE Internet Comput. 28(4): 5-6 (2024) - [j45]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Model Confidence. Proc. ACM Manag. Data 2(3): 131 (2024) - [j44]Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Optimizing Video Queries with Declarative Clues. Proc. VLDB Endow. 17(11): 3256-3268 (2024) - [j43]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation Over Dynamic Road Networks. IEEE Trans. Knowl. Data Eng. 36(7): 2759-2773 (2024) - 2023
- [j42]Yifan Li, Xiaohui Yu, Nick Koudas, Shu Lin, Calvin Sun, Chong Chen:
dbET: Execution Time Distribution-based Plan Selection. Proc. ACM Manag. Data 1(1): 31:1-31:26 (2023) - [j41]Yunhai Wang, Yuchun Wang, Xin Chen, Yue Zhao, Fan Zhang, Eugene Wu, Chi-Wing Fu, Xiaohui Yu:
OM3: An Ordered Multi-level Min-Max Representation for Interactive Progressive Visualization of Time Series. Proc. ACM Manag. Data 1(2): 145:1-145:24 (2023) - [j40]Jian Pei, Raul Castro Fernandez, Xiaohui Yu:
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration. Proc. VLDB Endow. 16(12): 3872-3873 (2023) - [j39]Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie:
TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023) - [c68]Jingfeng Pan, Yunfei Peng, Kaiyu Li, Aijun An, Xiaohui Yu, Dariusz Jania:
Optimizing Data Migration Using Online Clustering. CASCON 2023: 173-178 - [c67]Amin Kamali, Calisto Zuzarte, Verena Kantere, Jaroslaw Szlichta, Yueting Chen, Xiaohui Yu, Ning Wang:
ML4DM '23: The Third Workshop on the Emerging Applications of Machine Learning in Modern Data Management. CASCON 2023: 251-253 - [c66]Daren Chao, Yueting Chen, Nick Koudas, Xiaohui Yu:
Track Merging for Effective Video Query Processing. ICDE 2023: 164-176 - [c65]Daren Chao, Nick Koudas, Xiaohui Yu:
Marshalling Model Inference in Video Streams. ICDE 2023: 1379-1392 - [c64]Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). ICDE 2023: 3813-3814 - [i14]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yueting Chen, Yang Liu:
A Distributed Solution for Efficient K Shortest Paths Computation over Dynamic Road Networks. CoRR abs/2312.12687 (2023) - [i13]Ziqiang Yu, Xiaohui Yu, Tao Zhou, Yueting Chen, Yang Liu, Bohan Li:
ODIN: Object Density Aware Index for CkNN Queries over Moving Objects on Road Networks. CoRR abs/2312.12688 (2023) - 2022
- [j38]Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu:
PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data. Inf. Sci. 589: 34-45 (2022) - [j37]Haoran Xu, Ronghui Xu, Meng Chen, Yang Liu, Xiaohui Yu:
CAVE-SC: Inferring categories for venues using check-ins. Inf. Sci. 611: 159-172 (2022) - [j36]Ning An, Meng Chen, Li Lian, Peng Li, Kai Zhang, Xiaohui Yu, Yilong Yin:
Enabling the interpretability of pretrained venue representations using semantic categories. Knowl. Based Syst. 235: 107623 (2022) - [j35]Yueting Chen, Nick Koudas, Xiaohui Yu, Ziqiang Yu:
Spatial and Temporal Constrained Ranked Retrieval over Videos. Proc. VLDB Endow. 15(11): 3226-3239 (2022) - [j34]Chaohong Ma, Xiaohui Yu, Yifan Li, Xiaofeng Meng, Aishan Maoliniyazi:
FILM: a Fully Learned Index for Larger-than-Memory Databases. Proc. VLDB Endow. 16(3): 561-573 (2022) - [j33]Meng Chen, Qingjie Liu, Weiming Huang, Teng Zhang, Yixuan Zuo, Xiaohui Yu:
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 5:1-5:18 (2022) - [j32]Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu, Kai Zheng:
Modeling Spatial Trajectories With Attribute Representation Learning. IEEE Trans. Knowl. Data Eng. 34(4): 1902-1914 (2022) - [j31]Meng Chen, Lei Zhu, Ronghui Xu, Yang Liu, Xiaohui Yu, Yilong Yin:
Embedding Hierarchical Structures for Venue Category Representation. ACM Trans. Inf. Syst. 40(3): 57:1-57:29 (2022) - [c63]Yueting Chen, Xiaohui Yu, Nick Koudas:
Ranked Window Query Retrieval over Video Repositories. ICDE 2022: 2776-2791 - 2021
- [j30]Xiaoyi Jia, Xiaoyu Dong, Meng Chen, Xiaohui Yu:
Missing data imputation for traffic congestion data based on joint matrix factorization. Knowl. Based Syst. 225: 107114 (2021) - [j29]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. Proc. VLDB Endow. 14(10): 1832-1844 (2021) - [j28]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based exact set similarity search. Proc. VLDB Endow. 14(11): 2073-2086 (2021) - [j27]Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng:
CEM: A Convolutional Embedding Model for Predicting Next Locations. IEEE Trans. Intell. Transp. Syst. 22(6): 3349-3358 (2021) - [j26]Omer Tal, Yang Liu, Jimmy X. Huang, Xiaohui Yu, Bushra Aljbawi:
Neural Attention Frameworks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 2137-2150 (2021) - [c62]Zhaoyue Cheng, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models over Normalized Data. ICDE 2021: 1140-1151 - [c61]Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song:
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories. SDM 2021: 73-81 - [c60]Yueting Chen, Xiaohui Yu, Nick Koudas, Ziqiang Yu:
Evaluating Temporal Queries Over Video Feeds. SIGMOD Conference 2021: 287-299 - [i12]Yifan Li, Xiaohui Yu, Nick Koudas:
Data Acquisition for Improving Machine Learning Models. CoRR abs/2105.14107 (2021) - [i11]Yifan Li, Xiaohui Yu, Nick Koudas:
LES3: Learning-based Exact Set Similarity Search. CoRR abs/2107.10417 (2021) - 2020
- [j25]Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu:
Eating healthier: Exploring nutrition information for healthier recipe recommendation. Inf. Process. Manag. 57(6): 102051 (2020) - [j24]Min Yang, Kun Ma, Xiaohui Yu:
An efficient index structure for distributed k-nearest neighbours query processing. Soft Comput. 24(8): 5539-5550 (2020) - [c59]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. SIGMOD Conference 2020: 665-679 - [c58]Yueting Chen, Xiaohui Yu, Nick Koudas:
TQVS: Temporal Queries over Video Streams in Action. SIGMOD Conference 2020: 2737-2740 - [i10]Yueting Chen, Xiaohui Yu, Nick Koudas:
Evaluating Temporal Queries Over Video Feeds. CoRR abs/2003.00953 (2020) - [i9]Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chinh T. Hong, Xiaohui Yu, Yang Liu:
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation. CoRR abs/2003.07027 (2020) - [i8]Meng Chen, Xiaohui Yu, Yang Liu:
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction. CoRR abs/2003.07033 (2020) - [i7]Meng Chen, Yang Liu, Xiaohui Yu:
NLPMM: a Next Location Predictor with Markov Modeling. CoRR abs/2003.07037 (2020) - [i6]Meng Chen, Xiaohui Yu, Yang Liu:
TraLFM: Latent Factor Modeling of Traffic Trajectory Data. CoRR abs/2003.07780 (2020) - [i5]Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen:
TTDM: A Travel Time Difference Model for Next Location Prediction. CoRR abs/2003.07781 (2020) - [i4]Meng Chen, Xiaohui Yu, Yang Liu:
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations. CoRR abs/2003.07782 (2020) - [i3]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k queries over digital traces. CoRR abs/2003.09009 (2020) - [i2]Ziqiang Yu, Xiaohui Yu, Nick Koudas, Yang Liu, Yifan Li, Yueting Chen, Dingyu Yang:
Distributed Processing of k Shortest Path Queries over Dynamic Road Networks. CoRR abs/2004.02580 (2020) - [i1]Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu:
Efficient Construction of Nonlinear Models overNormalized Data. CoRR abs/2011.11682 (2020)
2010 – 2019
- 2019
- [j23]Min Yang, Yixuan Zuo, Meng Chen, Xiaohui Yu:
Scalable Distributed kNN Processing on Clustered Data Streams. IEEE Access 7: 103198-103208 (2019) - [j22]Ziqiang Yu, Ajith Abraham, Xiaohui Yu, Yang Liu, Jing Zhou, Kun Ma:
Improving the effectiveness of keyword search in databases using query logs. Eng. Appl. Artif. Intell. 81: 169-179 (2019) - [j21]Meng Chen, Xiaohui Yu, Yang Liu:
TraLFM: Latent Factor Modeling of Traffic Trajectory Data. IEEE Trans. Intell. Transp. Syst. 20(12): 4624-4634 (2019) - [j20]Meng Chen, Xiaohui Yu, Yang Liu:
MPE: a mobility pattern embedding model for predicting next locations. World Wide Web 22(6): 2901-2920 (2019) - [c57]Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen:
TTDM: A Travel Time Difference Model for Next Location Prediction. MDM 2019: 216-225 - [c56]Yifan Li, Xiaohui Yu, Nick Koudas:
Top-k Queries over Digital Traces. SIGMOD Conference 2019: 954-971 - 2018
- [j19]Meng Chen, Xiaohui Yu, Yang Liu:
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction. IEEE Trans. Intell. Transp. Syst. 19(11): 3550-3559 (2018) - [j18]Yunhai Wang, Kang Feng, Xiaowei Chu, Jian Zhang, Chi-Wing Fu, Michael Sedlmair, Xiaohui Yu, Baoquan Chen:
A Perception-Driven Approach to Supervised Dimensionality Reduction for Visualization. IEEE Trans. Vis. Comput. Graph. 24(5): 1828-1840 (2018) - [c55]Wenjing Wei, Xiaoyi Jia, Yang Liu, Xiaohui Yu:
Travel Time Forecasting with Combination of Spatial-Temporal and Time Shifting Correlation in CNN-LSTM Neural Network. APWeb/WAIM (1) 2018: 297-311 - [c54]Xingcan Cui, Xiaohui Yu, Xiaofang Zhou, Jiong Guo:
ID Repair for Trajectories with Transition Graphs. EDBT 2018: 1-12 - [c53]De Guo, Meng Chen, Xiaohui Yu, Yang Liu:
Short-term Traffic Flow Forecasting Using Transfer Ratio and Road Similarity. IJCNN 2018: 1-7 - [c52]Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang:
Model-based Clustering of Short Text Streams. KDD 2018: 2634-2642 - 2017
- [j17]Ben Chen, Zhijin Lv, Xiaohui Yu, Yang Liu:
Sliding Window Top-K Monitoring over Distributed Data Streams. Data Sci. Eng. 2(4): 289-300 (2017) - [j16]Xiaohui Yu, Ziqiang Yu, Yang Liu, Huxia Shi:
CI-Rank: Collective importance ranking for keyword search in databases. Inf. Sci. 384: 1-20 (2017) - [j15]Meng Chen, Linlin Zhang, Xiaohui Yu, Yang Liu:
Weighted Co-Training for Cross-Domain Image Sentiment Classification. J. Comput. Sci. Technol. 32(4): 714-725 (2017) - [j14]Guoyu Qiu, Sheng Lin Tan, Yue Wang, Xiaohui Yu, Chunhua Yan:
Characteristics of Evapotranspiration of Urban Lawns in a Sub-Tropical Megacity and Its Measurement by the 'Three Temperature Model + Infrared Remote Sensing' Method. Remote. Sens. 9(5): 502 (2017) - [c51]Mehdi Kargar, Aijun An, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful Keyword Search over Databases with Complex Schema. AMW 2017 - [c50]Zhijin Lv, Ben Chen, Xiaohui Yu:
Sliding Window Top-K Monitoring over Distributed Data Streams. APWeb/WAIM (1) 2017: 527-540 - [c49]Yue Wang, Meng Chen, Xiaohui Yu, Yang Liu:
LCE: A Location Category Embedding Model for Predicting the Category Labels of POIs. ICONIP (5) 2017: 710-720 - 2016
- [j13]Chong Yang, Xiaohui Yu, Yang Liu, Yanping Nie, Yuanhong Wang:
Collaborative filtering with weighted opinion aspects. Neurocomputing 210: 185-196 (2016) - [j12]Meng Chen, Xiaohui Yu, Yang Liu:
Mining Object Similarity for Predicting Next Locations. J. Comput. Sci. Technol. 31(4): 649-660 (2016) - [c48]Lei Lv, Yang Liu, Xiaohui Yu:
Spica: A Path Bundling Model for Rational Route Recommendation. APWeb (2) 2016: 85-97 - [c47]Donghai Yu, Yang Liu, Xiaohui Yu:
A Data Grouping CNN Algorithm for Short-Term Traffic Flow Forecasting. APWeb (1) 2016: 92-103 - [c46]Xingcan Cui, Xiaohui Yu, De Guo:
Repair Singleton IDs on the Fly. APWeb (2) 2016: 214-226 - [c45]Linlin Zhang, Meng Chen, Xiaohui Yu, Yang Liu:
CoDS: Co-training with Domain Similarity for Cross-Domain Image Sentiment Classification. APWeb (1) 2016: 480-492 - [c44]Zhaoyang Lv, Yuanyuan Liu, Xiaohui Yu:
KEIPD: Knowledge Extraction and Inference System for Personal Documents. APWeb (2) 2016: 592-595 - [c43]Ziqiang Yu, Xiaohui Yu, Yuehui Chen, Kun Ma:
Distributed Top-k Keyword Search over Very Large Databases with MapReduce. BigData Congress 2016: 349-352 - [c42]Jiaxin Jiang, Peipei Yi, Byron Choi, Zhiwei Zhang, Xiaohui Yu:
Privacy-Preserving Reachability Query Services for Massive Networks. CIKM 2016: 145-154 - [c41]Yun Peng, Byron Choi, Bingsheng He, Shuigeng Zhou, Ruzhi Xu, Xiaohui Yu:
VColor: A practical vertex-cut based approach for coloring large graphs. ICDE 2016: 97-108 - 2015
- [j11]Meng Chen, Xiaohui Yu, Yang Liu:
Mining moving patterns for predicting next location. Inf. Syst. 54: 156-168 (2015) - [j10]Ziqiang Yu, Yang Liu, Xiaohui Yu, Ken Q. Pu:
Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects. IEEE Trans. Knowl. Data Eng. 27(5): 1383-1396 (2015) - [c40]Ziqiang Yu, Xiaohui Yu, Yang Liu, Wenzhu Li, Jian Pei:
Mining Frequent Co-occurrence Patterns across Multiple Data Streams. EDBT 2015: 73-84 - [c39]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful keyword search in relational databases with large and complex schema. ICDE 2015: 411-422 - [c38]Meng Chen, Yang Liu, Xiaohui Yu:
Predicting Next Locations with Object Clustering and Trajectory Clustering. PAKDD (2) 2015: 344-356 - [c37]Lei Lv, Meng Chen, Yang Liu, Xiaohui Yu:
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction. PAKDD (2) 2015: 357-369 - 2014
- [j9]Mehdi Kargar, Aijun An, Xiaohui Yu:
Efficient Duplication Free and Minimal Keyword Search in Graphs. IEEE Trans. Knowl. Data Eng. 26(7): 1657-1669 (2014) - [c36]Fan Yang, Xiaohui Yu, George Karypis:
Signaling adverse drug reactions with novel feature-based similarity model. BIBM 2014: 593-596 - [c35]Xingcan Cui, Zhen Dong, Liwei Lin, Renyong Song, Xiaohui Yu:
GrandLand Traffic Data Processing Platform. BigData Congress 2014: 766-767 - [c34]Jing Zhou, Xiaohui Yu, Yang Liu, Ziqiang Yu:
Ranking Keyword Search Results with Query Logs. BigData Congress 2014: 770-771 - [c33]Chong Yang, Xiaohui Yu, Yang Liu:
Towards Efficient KNN Joins on Data Streams. BigData Congress 2014: 782-783 - [c32]Yang Liu, Xiaohui Yu, Bing Liu, Zhongshuai Chen:
Sentence-Level Sentiment Analysis in the Presence of Modalities. CICLing (2) 2014: 1-16 - [c31]Chong Yang, Xiaohui Yu, Yang Liu:
Continuous KNN Join Processing for Real-Time Recommendation. ICDM 2014: 640-649 - [c30]Meng Chen, Yang Liu, Xiaohui Yu:
NLPMM: A Next Location Predictor with Markov Modeling. PAKDD (2) 2014: 186-197 - [c29]Yanping Nie, Yang Liu, Xiaohui Yu:
Weighted aspect-based collaborative filtering. SIGIR 2014: 1071-1074 - [c28]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
MeanKS: meaningful keyword search in relational databases with complex schema. SIGMOD Conference 2014: 905-908 - 2013
- [j8]Ziqiang Yu, Xiaohui Yu, Yang Liu:
Efficient Top-k Keyword Search Over Multidimensional Databases. Int. J. Data Warehous. Min. 9(3): 1-21 (2013) - [j7]Yang Liu, Xiaohui Yu, Aijun An, Xiangji Huang:
Riding the tide of sentiment change: sentiment analysis with evolving online reviews. World Wide Web 16(4): 477-496 (2013) - [c27]Xinyan Lou, Yang Liu, Xiaohui Yu:
Traffic Session Identification Based on Statistical Language Model. ADMA (2) 2013: 264-275 - [c26]Jiaran Zhang, Xiaohui Yu, Yang Liu, Liwei Lin:
DDSN: Duplicate detection to reduce both storage and bandwidth consumption. IEEE BigData 2013: 206-211 - [c25]Yang Liu, Xiaohui Yu, Zhongshuai Chen, Bing Liu:
Sentiment analysis of sentences with modalities. UnstructureNLP@CIKM 2013: 39-44 - [c24]Liwei Lin, Xiaohui Yu, Nick Koudas:
Pollux: towards scalable distributed real-time search on microblogs. EDBT 2013: 335-346 - 2012
- [j6]Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An:
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain. IEEE Trans. Knowl. Data Eng. 24(4): 720-734 (2012) - [c23]Zahid Abul-Basher, Yi Feng, Parke Godfrey, Xiaohui Yu, Mokhtar Kandil, Daniel C. Zilio, Calisto Zuzarte:
Alternative Query Optimization for Workload Management. DEXA (2) 2012: 424-431 - [c22]Xiaohui Yu, Huxia Shi:
CI-Rank: Ranking Keyword Search Results Based on Collective Importance. ICDE 2012: 78-89 - [c21]Yuanhong Wang, Yang Liu, Xiaohui Yu:
Collaborative Filtering with Aspect-Based Opinion Mining: A Tensor Factorization Approach. ICDM 2012: 1152-1157 - 2011
- [j5]Yang Liu, Xiaohui Yu, Jimmy Xiangji Huang, Aijun An:
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. Inf. Process. Manag. 47(4): 617-631 (2011) - [c20]Jiaran Zhang, Xiaohui Yu, You Li, Liwei Lin:
HadoopRsync. CDC 2011: 166-173 - [c19]Ziqiang Yu, Xiaohui Yu, Yang Liu:
Cascading top-k keyword search over relational databases. DOLAP 2011: 95-100 - [c18]Lei Gao, Xiaohui Yu, Yang Liu:
Keyword Query Cleaning with Query Logs. WAIM 2011: 31-42 - 2010
- [j4]Xiaohui Yu, Qiang Zhang:
An extension of cooperative fuzzy games. Fuzzy Sets Syst. 161(11): 1614-1634 (2010) - [j3]Xiaohui Yu, Junfeng Dong:
Indexing high-dimensional data for main-memory similarity search. Inf. Syst. 35(7): 825-843 (2010) - [c17]Yang Liu, Xiaohui Yu, Xiangji Huang, Aijun An:
S-PLASA+: adaptive sentiment analysis with application to sales performance prediction. SIGIR 2010: 873-874 - [c16]Xiaohui Yu, Yang Liu, Aijun An:
An Adaptive Model for Probabilistic Sentiment Analysis. Web Intelligence 2010: 661-667 - [c15]Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An:
A quality-aware model for sales prediction using reviews. WWW 2010: 1217-1218