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2020 – today
- 2020
[j36]Tianbao Yang
, Lijun Zhang, Qihang Lin, Shenghuo Zhu, Rong Jin:
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity. Mach. Learn. 109(5): 899-938 (2020)
2010 – 2019
- 2019
- [j35]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
A simple homotopy proximal mapping algorithm for compressive sensing. Mach. Learn. 108(6): 1019-1056 (2019) - [c87]Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Robust Online Matching with User Arrival Distribution Drift. AAAI 2019: 459-466 - [c86]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI 2019: 4312-4319 - [c85]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. AAAI 2019: 4739-4746 - [c84]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI 2019: 5409-5416 - [c83]Hao Yu, Sen Yang, Shenghuo Zhu:
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning. AAAI 2019: 5693-5700 - [c82]Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin:
Semi-Parametric Sampling for Stochastic Bandits with Many Arms. AAAI 2019: 7933-7940 - [c81]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD 2019: 2838-2847 - [c80]Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang:
Learning with Non-Convex Truncated Losses by SGD. UAI 2019: 701-711 - [i27]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR abs/1901.11149 (2019) - [i26]Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin:
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR abs/1906.01095 (2019) - 2018
- [c79]Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. AAAI 2018: 3466-3473 - [c78]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-Scale Distance Metric Learning With Uncertainty. CVPR 2018: 8542-8550 - [c77]Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. IJCAI 2018: 2602-2608 - [r2]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
Combining Link and Content for Community Detection. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i25]Kui Zhao, Yuechuan Li, Chi Zhang, Cheng Yang, Shenghuo Zhu:
PRNN: Recurrent Neural Network with Persistent Memory. CoRR abs/1801.08094 (2018) - [i24]Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. CoRR abs/1805.02971 (2018) - [i23]Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li:
Robust Optimization over Multiple Domains. CoRR abs/1805.07588 (2018) - [i22]Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang:
Learning with Non-Convex Truncated Losses by SGD. CoRR abs/1805.07880 (2018) - [i21]Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin:
Large-scale Distance Metric Learning with Uncertainty. CoRR abs/1805.10384 (2018) - [i20]Hao Yu, Sen Yang, Shenghuo Zhu:
Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication. CoRR abs/1807.06629 (2018) - [i19]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR abs/1812.01767 (2018) - 2017
- [j34]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding multiple stable clusterings. Knowl. Inf. Syst. 51(3): 991-1021 (2017) - [c76]Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao:
The Opensesame NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH 2017: 2854-2858 - [i18]Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin:
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM. CoRR abs/1707.09870 (2017) - 2016
- [j33]Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-pass AUC optimization. Artif. Intell. 236: 1-29 (2016) - [j32]Tianbao Yang, Rong Jin, Shenghuo Zhu, Qihang Lin:
On Data Preconditioning for Regularized Loss Minimization. Mach. Learn. 103(1): 57-79 (2016) - 2015
- [j31]Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu:
An efficient primal dual prox method for non-smooth optimization. Mach. Learn. 98(3): 369-406 (2015) - [j30]Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu:
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. 99(3): 353-372 (2015) - [j29]Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin:
Regionlets for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2071-2084 (2015) - [j28]PengCheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, Hakan Hacigümüs:
SmartSLA: Cost-Sensitive Management of Virtualized Resources for CPU-Bound Database Services. IEEE Trans. Parallel Distributed Syst. 26(5): 1441-1451 (2015) - [c75]Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu:
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation. AAAI 2015: 3115-3121 - [c74]Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin:
Fine-grained visual categorization via multi-stage metric learning. CVPR 2015: 3716-3724 - [c73]Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu:
Finding Multiple Stable Clusterings. ICDM 2015: 171-180 - [c72]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu:
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection. ICML 2015: 135-143 - [c71]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu:
Theory of Dual-sparse Regularized Randomized Reduction. ICML 2015: 305-314 - [i17]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu:
Theory of Dual-sparse Regularized Randomized Reduction. CoRR abs/1504.03991 (2015) - [i16]Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu:
Towards Making High Dimensional Distance Metric Learning Practical. CoRR abs/1509.04355 (2015) - [i15]Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu:
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR abs/1512.01728 (2015) - 2014
- [j27]Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu:
Regret bounded by gradual variation for online convex optimization. Mach. Learn. 95(2): 183-223 (2014) - [j26]Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu:
Random Projections for Classification: A Recovery Approach. IEEE Trans. Inf. Theory 60(11): 7300-7316 (2014) - [j25]Zhen Guo, Zhongfei (Mark) Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong:
A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks. IEEE Trans. Knowl. Data Eng. 26(4): 780-794 (2014) - [c70]Jianhui Chen, Tianbao Yang, Shenghuo Zhu:
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs. AISTATS 2014: 122-130 - [c69]Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu:
Distance metric learning using dropout: a structured regularization approach. KDD 2014: 323-332 - [r1]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
Combining Link and Content for Community Detection. Encyclopedia of Social Network Analysis and Mining 2014: 190-201 - [i14]Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin:
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. CoRR abs/1402.0453 (2014) - [i13]Rong Jin, Shenghuo Zhu:
CUR Algorithm with Incomplete Matrix Observation. CoRR abs/1403.5647 (2014) - [i12]Tianbao Yang, Rong Jin, Shenghuo Zhu:
On Data Preconditioning for Regularized Loss Minimization. CoRR abs/1408.3115 (2014) - [i11]Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu:
A Simple Homotopy Proximal Mapping for Compressive Sensing. CoRR abs/1412.1205 (2014) - 2013
- [j24]Dingding Wang, Shenghuo Zhu, Tao Li:
SumView: A Web-based engine for summarizing product reviews and customer opinions. Expert Syst. Appl. 40(1): 27-33 (2013) - [j23]Yun Chi, Shenghuo Zhu:
FacetCube: a general framework for non-negative tensor factorization. Knowl. Inf. Syst. 37(1): 155-179 (2013) - [j22]Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong:
Comparative Document Summarization via Discriminative Sentence Selection. ACM Trans. Knowl. Discov. Data 7(1): 2:1-2:18 (2013) - [c68]Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu:
Recovering the Optimal Solution by Dual Random Projection. COLT 2013: 135-157 - [c67]Anelia Angelova, Shenghuo Zhu:
Efficient Object Detection and Segmentation for Fine-Grained Recognition. CVPR 2013: 811-818 - [c66]Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin:
Regionlets for Generic Object Detection. ICCV 2013: 17-24 - [c65]Jennie Duggan, Yun Chi, Hakan Hacigümüs, Shenghuo Zhu, Ugur Çetintemel:
Packing light: Portable workload performance prediction for the cloud. ICDE Workshops 2013: 258-265 - [c64]Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton:
Predicting query execution time: Are optimizer cost models really unusable? ICDE 2013: 1081-1092 - [c63]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. ICML (3) 2013: 906-914 - [c62]Anelia Angelova, Shenghuo Zhu, Yuanqing Lin:
Image segmentation for large-scale subcategory flower recognition. WACV 2013: 39-45 - [i10]Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu:
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD). CoRR abs/1304.1192 (2013) - [i9]Rong Jin, Tianbao Yang, Shenghuo Zhu:
A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent. CoRR abs/1304.4680 (2013) - [i8]Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou:
One-Pass AUC Optimization. CoRR abs/1305.1363 (2013) - [i7]Shenghuo Zhu:
Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates. CoRR abs/1305.2218 (2013) - [i6]Tianbao Yang, Shenghuo Zhu, Rong Jin, Yuanqing Lin:
On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent. CoRR abs/1312.1031 (2013) - 2012
- [j21]Jinjun Wang, Shenghuo Zhu:
Resolution-invariant coding for continuous image super-resolution. Neurocomputing 82: 21-28 (2012) - [j20]Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong:
Comparative document summarization via discriminative sentence selection. ACM Trans. Knowl. Discov. Data 6(3): 12:1-12:18 (2012) - [c61]Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi:
Stochastic Gradient Descent with Only One Projection. NIPS 2012: 503-511 - [c60]Will Y. Zou, Andrew Y. Ng, Shenghuo Zhu, Kai Yu:
Deep Learning of Invariant Features via Simulated Fixations in Video. NIPS 2012: 3212-3220 - [c59]Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu:
Online Optimization with Gradual Variations. COLT 2012: 6.1-6.20 - [i5]Tianbao Yang, Rong Jin, Mehrdad Mahdavi, Shenghuo Zhu:
An Efficient Primal-Dual Prox Method for Non-Smooth Optimization. CoRR abs/1201.5283 (2012) - [i4]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
A Bayesian Framework for Community Detection Integrating Content and Link. CoRR abs/1205.2603 (2012) - [i3]Shenghuo Zhu:
A short note on the tail bound of Wishart distribution. CoRR abs/1212.5860 (2012) - [i2]Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang:
Influence Analysis in the Blogosphere. CoRR abs/1212.5863 (2012) - [i1]Chang Huang, Shenghuo Zhu, Kai Yu:
Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval. CoRR abs/1212.6094 (2012) - 2011
- [j19]Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding:
Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3): 493-521 (2011) - [j18]Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
Detecting communities and their evolutions in dynamic social networks - a Bayesian approach. Mach. Learn. 82(2): 157-189 (2011) - [j17]Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yihong Gong:
Integrating Document Clustering and Multidocument Summarization. ACM Trans. Knowl. Discov. Data 5(3): 14:1-14:26 (2011) - [j16]Dingding Wang, Tao Li, Shenghuo Zhu, Yihong Gong:
iHelp: An Intelligent Online Helpdesk System. IEEE Trans. Syst. Man Cybern. Part B 41(1): 173-182 (2011) - [c58]Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu:
Can irrelevant data help semi-supervised learning, why and how? CIKM 2011: 937-946 - [c57]PengCheng Xiong, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Calton Pu, Hakan Hacigümüs:
ActiveSLA: a profit-oriented admission control framework for database-as-a-service providers. SoCC 2011: 15 - [c56]Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu:
Correspondence driven adaptation for human profile recognition. CVPR 2011: 505-512 - [c55]Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang:
Large-scale image classification: Fast feature extraction and SVM training. CVPR 2011: 1689-1696 - [c54]Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han:
Contextual weighting for vocabulary tree based image retrieval. ICCV 2011: 209-216 - [c53]PengCheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, Hakan Hacigümüs:
Intelligent management of virtualized resources for database systems in cloud environment. ICDE 2011: 87-98 - [c52]Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu:
Combining file content and file relations for cloud based malware detection. KDD 2011: 222-230 - 2010
- [j15]Jinjun Wang, Shenghuo Zhu, Yihong Gong:
Resolution enhancement based on learning the sparse association of image patches. Pattern Recognit. Lett. 31(1): 1-10 (2010) - [j14]Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihong Gong:
Feature Selection for Gene Expression Using Model-Based Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 25-36 (2010) - [j13]Jinjun Wang, Shenghuo Zhu, Yihong Gong:
Driving Safety Monitoring Using Semisupervised Learning on Time Series Data. IEEE Trans. Intell. Transp. Syst. 11(3): 728-737 (2010) - [c51]Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Yihong Gong:
A Topic Model for Linked Documents and Update Rules for its Estimation. AAAI 2010 - [c50]Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King:
Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010 - [c49]Yun Chi, Shenghuo Zhu:
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization. CIKM 2010: 569-578 - [c48]Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong:
Unsupervised Learning from Linked Documents. ICPR 2010: 730-733 - [c47]Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu:
Deep Coding Network. NIPS 2010: 1405-1413 - [c46]Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
Directed Network Community Detection: A Popularity and Productivity Link Model. SDM 2010: 742-753 - [c45]Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang:
Videos Semantic Indexing using Image Classification. TRECVID 2010
2000 – 2009
- 2009
- [j12]Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, Yihong Gong:
Visual-Quality Optimizing Super Resolution. Comput. Graph. Forum 28(1): 127-140 (2009) - [j11]Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, Belle L. Tseng:
Analyzing communities and their evolutions in dynamic social networks. ACM Trans. Knowl. Discov. Data 3(2): 8:1-8:31 (2009) - [j10]Yun Chi, Shenghuo Zhu, Koji Hino, Yihong Gong, Yi Zhang:
iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data. IEEE Trans. Multim. 11(3): 372-382 (2009) - [j9]Tao Li, Mitsunori Ogihara, Wei Peng, Bo Shao, Shenghuo Zhu:
Music Clustering With Features From Different Information Sources. IEEE Trans. Multim. 11(3): 477-485 (2009) - [c44]Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong:
Multi-Document Summarization using Sentence-based Topic Models. ACL/IJCNLP (2) 2009: 297-300 - [c43]Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong:
Comparative document summarization via discriminative sentence selection. CIKM 2009: 1963-1966 - [c42]Jinjun Wang, Shenghuo Zhu, Yihong Gong:
Resolution-Invariant Image Representation and its applications. CVPR 2009: 2512-2519 - [c41]Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong:
Knowledge Discovery from Citation Networks. ICDM 2009: 800-805 - [c40]Jinjun Wang, Shenghuo Zhu, Yihong Gong:
Resolution-Invariant Image Representation for Content-Based Zooming. ICME 2009: 918-921 - [c39]Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong:
Large-scale collaborative prediction using a nonparametric random effects model. ICML 2009: 1185-1192 - [c38]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
Combining link and content for community detection: a discriminative approach. KDD 2009: 927-936 - [c37]Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang:
Ordering innovators and laggards for product categorization and recommendation. RecSys 2009: 29-36 - [c36]Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin:
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks. SDM 2009: 990-1001 - [c35]Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong:
Fast nonparametric matrix factorization for large-scale collaborative filtering. SIGIR 2009: 211-218 - [c34]Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong:
A latent topic model for linked documents. SIGIR 2009: 720-721 - [c33]Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu:
A Bayesian Framework for Community Detection Integrating Content and Link. UAI 2009: 615-622 - [c32]Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar:
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS 2009: 360-367 - 2008
- [j8]Tao Li, Shenghuo Zhu, Mitsunori Ogihara:
Text categorization via generalized discriminant analysis. Inf. Process. Manag. 44(5): 1684-1697 (2008) - [j7]Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang, Yihong Gong:
Dynamic active probing of helpdesk databases. Proc. VLDB Endow. 1(1): 748-760 (2008) - [j6]Chris H. Q. Ding, Tao Li, Shenghuo Zhu:
KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explor. 10(2): 54-56 (2008) - [c31]Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang:
Probabilistic polyadic factorization and its application to personalized recommendation. CIKM 2008: 941-950 - [c30]Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yihong Gong:
Integrating clustering and multi-document summarization to improve document understanding. CIKM 2008: 1435-1436 - [c29]