| 2012 | ||
|---|---|---|
| 48 | Chia-Wei Chang, Han Liu, Guanyao Huang, Bill Lin, Chen-Nee Chuah: Distributed measurement-aware routing: Striking a balance between measurement and traffic engineering. INFOCOM 2012: 2516-2520 | |
| 47 | John D. Lafferty, Han Liu, Larry A. Wasserman: Sparse Nonparametric Graphical Models CoRR abs/1201.0794: (2012) | |
| 46 | Tuo Zhao, Han Liu: Sparse Additive Machine. Journal of Machine Learning Research - Proceedings Track 22: 1435-1443 (2012) | |
| 45 | Xi Chen, Han Liu, Jaime G. Carbonell: Structured Sparse Canonical Correlation Analysis. Journal of Machine Learning Research - Proceedings Track 22: 199-207 (2012) | |
| 44 | Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas: Detecting Network Cliques with Radon Basis Pursuit. Journal of Machine Learning Research - Proceedings Track 22: 565-573 (2012) | |
| 43 | Mladen Kolar, Han Liu: Marginal Regression For Multitask Learning. Journal of Machine Learning Research - Proceedings Track 22: 647-655 (2012) | |
| 42 | Frederic T. Stahl, Mohamed Medhat Gaber, Paul Aldridge, David May, Han Liu, Max Bramer, Philip S. Yu: Homogeneous and Heterogeneous Distributed Classification for Pocket Data Mining. T. Large-Scale Data- and Knowledge-Centered Systems 5: 183-205 (2012) | |
| 2011 | ||
| 41 | Han Liu, Yanyun Qu: Exploiting context aware category discovery for image labeling. ICIMCS 2011: 112-115 | |
| 40 | Frederic T. Stahl, Mohamed Medhat Gaber, Han Liu, Max Bramer, Philip S. Yu: Distributed Classification for Pocket Data Mining. ISMIS 2011: 336-345 | |
| 39 | Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas: Compressive Network Analysis CoRR abs/1104.4605: (2011) | |
| 38 | Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John D. Lafferty, Larry A. Wasserman: Forest Density Estimation. Journal of Machine Learning Research 12: 907-951 (2011) | |
| 2010 | ||
| 37 | Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell: Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. AAAI 2010 | |
| 36 | Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu: Forest Density Estimation. COLT 2010: 394-406 | |
| 35 | Han Liu, Xi Chen, John D. Lafferty, Larry A. Wasserman: Graph-Valued Regression. NIPS 2010: 1423-1431 | |
| 34 | Han Liu, Kathryn Roeder, Larry A. Wasserman: Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models. NIPS 2010: 1432-1440 | |
| 33 | Han Liu, Xi Chen: Multivariate Dyadic Regression Trees for Sparse Learning Problems. NIPS 2010: 1441-1449 | |
| 32 | Han Liu, Jian Zhang, Xiaoye Jiang, Jun Liu: The Group Dantzig Selector. Journal of Machine Learning Research - Proceedings Track 9: 461-468 (2010) | |
| 31 | Peter Bailey, Ryen W. White, Han Liu, Giridhar Kumaran: Mining Historic Query Trails to Label Long and Rare Search Engine Queries. TWEB 4(4): (2010) | |
| 2009 | ||
| 30 | Han Liu, Ding Liu: A neural network approach for least squares support vector machines learning. CDC 2009: 7297-7302 | |
| 29 | Han Liu, Mark Palatucci, Jian Zhang: Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. ICML 2009: 82 | |
| 28 | Han Liu, Xi Chen: Nonparametric Greedy Algorithms for the Sparse Learning Problem. NIPS 2009: 1141-1149 | |
| 27 | Ji Zhang, Han Liu, Tok Wang Ling, Robert M. Bruckner, A Min Tjoa: A Framework for Efficient Association Rule Mining in XML Data. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 505-526 | |
| 26 | Han Liu, John D. Lafferty, Larry A. Wasserman: The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs. Journal of Machine Learning Research 10: 2295-2328 (2009) | |
| 25 | Han Liu, Jian Zhang: Estimation Consistency of the Group Lasso and its Applications. Journal of Machine Learning Research - Proceedings Track 5: 376-383 (2009) | |
| 2008 | ||
| 24 | Han Liu, John D. Lafferty, Larry A. Wasserman: Nonparametric regression and classification with joint sparsity constraints. NIPS 2008: 969-976 | |
| 23 | Han Liu, Xiaodong Tu, Jun Xie: Network Coding for P2P Live Media Streaming. NPC Workshops 2008: 392-398 | |
| 22 | Han Liu, Xiaoyang Wang, Xiaodong Tu, Shaoqian Li: Network Coding for Information Exchange between Multiple Nodes in Wireless Networks. VTC Spring 2008: 51-55 | |
| 2007 | ||
| 21 | Pradeep D. Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman: SpAM: Sparse Additive Models. NIPS 2007 | |
| 20 | Han Liu, John D. Lafferty, Larry A. Wasserman: Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo. Journal of Machine Learning Research - Proceedings Track 2: 283-290 (2007) | |
| 2006 | ||
| 19 | Han Liu, Haiyan Wu, Fucai Qian: Double Inverted Pendulum Control Based on Support Vector Machines and Fuzzy Inference. ISNN (2) 2006: 1124-1130 | |
| 18 | Anthony J. Bonner, Han Liu: Towards the Prediction of Protein Abundance from Tandem Mass Spectrometry Data. SDM 2006 | |
| 17 | Ji Zhang, Han Liu, Tok Wang Ling, Robert M. Bruckner, A. Min Tjoa: A Framework for Efficient Association Rule Mining in XML Data. J. Database Manag. 17(3): 19-40 (2006) | |
| 2005 | ||
| 16 | Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, Wen Gao, Chunli Wang: Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs. Gesture Workshop 2005: 80-83 | |
| 15 | Sheng Zhang, Ji Zhang, Han Liu, Wei Wang: XAR-miner: efficient association rules mining for XML data. WWW (Special interest tracks and posters) 2005: 894-895 | |
| 14 | Ji Zhang, Wei Wang, Han Liu, Sheng Zhang: X-warehouse: building query pattern-driven data. WWW (Special interest tracks and posters) 2005: 896-897 | |
| 13 | Ji Zhang, Han Liu: D-GridMST: Clustering Large Distributed Spatial Databases. Classification and Clustering for Knowledge Discovery 2005: 61-72 | |
| 12 | Yong-Ji Wang, Matthew P. Cartmell, Qiu-Ming Tao, Han Liu: A Generalized Real-Time Obstacle Avoidance Method Without the Cspace Calculation. J. Comput. Sci. Technol. 20(6): 774-787 (2005) | |
| 2004 | ||
| 11 | Han Liu, Chao Li, Jizhe Wang, Qing Wang, Mingshu Li: A User-Oriented Model-Driven Requirements Elicitation Process based on User Modeling. Computer Supported Acitivity Coordination 2004: 174-184 | |
| 10 | Ji Zhang, Tok Wang Ling, Robert M. Bruckner, Han Liu: PC-Filter: A Robust Filtering Technique for Duplicate Record Detection in Large Databases. DEXA 2004: 486-496 | |
| 9 | Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Min Tjoa, Han Liu: On Efficient and Effective Association Rule Mining from XML Data. DEXA 2004: 497-507 | |
| 8 | Han Liu, Xiaobin Yuan, Qianying Tang, Rafal Kustra: An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk. ECML 2004: 274-285 | |
| 7 | Han Liu, Di Wu, Ji Zhang, Xiaolin Yang, Xiaobin Yuan, Rafal Kustra: Statistical Issues with Labeled Sample Size Analysis for Semi-Supervised Linear Discriminant Analysis. IC-AI 2004: 1007-1012 | |
| 6 | Han Liu, Rafal Kustra, Ji Zhang: A Novel Dimensionality Reduction Technique Based on Independent Component Analysis for Modeling Microarray Gene Expression Data. IC-AI 2004: 1133-1139 | |
| 5 | Han Liu, Xiaolin Yang, Ji Zhang, Yongji Wang: Generalized Semi-Infinite Optimization and its Application in Robotics' Path Planning Problem. IC-AI 2004: 1147-1153 | |
| 4 | Ji Zhang, Han Liu: An Effective and Efficient Data Cleaning Technique in Large Databases. IKE 2004: 501-504 | |
| 3 | Han Liu: An Extended Linear Strategy Bridging the Gap between Regression and SVD Decomposition for Modeling Peptide Tandem Mass Spectrometry Data. METMBS 2004: 491 | |
| 2 | Han Liu, Qianying Tang, Yongji Wang: A robot path planning approach based on generalized semi-infinite optimization. RAM 2004: 768-773 | |
| 2003 | ||
| 1 | Chao Li, Han Liu, Jizhe Wang, Qing Wang, Mingshu Li: A Context-Aware User-Adaptive Supporting System for Goal-Oriented Requirements Elicitation Process. ICEIS (3) 2003: 347-356 | |
Colors in the list of coauthors
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