Shenghuo Zhu - RankMe

152 papers A* 48A 19B 5C 1Misc 3Journal 63Unranked 11

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	High-dimensional model recovery from random sketched data by exploring intrinsic sparsity. Mach. Learn. Tianbao Yang, Lijun Zhang, Qihang Lin, Shenghuo Zhu, Rong Jin
2019	J	`jnl`	A simple homotopy proximal mapping algorithm for compressive sensing. Mach. Learn. Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2019	A	`conf`	Learning with Non-Convex Truncated Losses by SGD. UAI Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang
2019	A*	`conf`	Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning. AAAI Hao Yu, Sen Yang, Shenghuo Zhu
2019	A*	`conf`	Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019	J	`jnl`	Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
2019	A*	`conf`	Robust Online Matching with User Arrival Distribution Drift. AAAI Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
2019	A*	`conf`	Robust Optimization over Multiple Domains. AAAI Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
2019	A*	`conf`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2019	A*	`conf`	Semi-Parametric Sampling for Stochastic Bandits with Many Arms. AAAI Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin
2019	A*	`conf`	Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2019	J	`jnl`	Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2018	—	`ch.`	Combining Link and Content for Community Detection. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2018	A*	`conf`	Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM. AAAI Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin
2018	A*	`conf`	Large-Scale Distance Metric Learning With Uncertainty. CVPR Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018	J	`jnl`	Large-scale Distance Metric Learning with Uncertainty. CoRR Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018	J	`jnl`	Learning with Non-Convex Truncated Losses by SGD. CoRR Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang
2018	A*	`conf`	Multinomial Logit Bandit with Linear Utility Functions. IJCAI Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin
2018	J	`jnl`	Multinomial Logit Bandit with Linear Utility Functions. CoRR Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin
2018	J	`jnl`	PRNN: Recurrent Neural Network with Persistent Memory. CoRR Kui Zhao, Yuechuan Li, Chi Zhang, Cheng Yang, Shenghuo Zhu
2018	J	`jnl`	Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication. CoRR Hao Yu, Sen Yang, Shenghuo Zhu
2018	J	`jnl`	Robust Optimization over Multiple Domains. CoRR Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
2018	J	`jnl`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2017	J	`jnl`	Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM. CoRR Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin
2017	J	`jnl`	Finding multiple stable clusterings. Knowl. Inf. Syst. Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2017	A	`conf`	The Opensesame NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao
2016	J	`jnl`	On Data Preconditioning for Regularized Loss Minimization. Mach. Learn. Tianbao Yang, Rong Jin, Shenghuo Zhu, Qihang Lin
2016	J	`jnl`	One-pass AUC optimization. Artif. Intell. Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2015	A*	`conf`	An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection. ICML Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu
2015	J	`jnl`	An efficient primal dual prox method for non-smooth optimization. Mach. Learn. Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu
2015	J	`jnl`	Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2015	A*	`conf`	Finding Multiple Stable Clusterings. ICDM Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
2015	A*	`conf`	Fine-grained visual categorization via multi-stage metric learning. CVPR Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
2015	A*	`conf`	Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation. AAAI Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu
2015	J	`jnl`	Regionlets for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin
2015	J	`jnl`	Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu
2015	J	`jnl`	SmartSLA: Cost-Sensitive Management of Virtualized Resources for CPU-Bound Database Services. IEEE Trans. Parallel Distributed Syst. Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, Hakan Hacigümüs
2015	A*	`conf`	Theory of Dual-sparse Regularized Randomized Reduction. ICML Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu
2015	J	`jnl`	Theory of Dual-sparse Regularized Randomized Reduction. CoRR Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu
2015	J	`jnl`	Towards Making High Dimensional Distance Metric Learning Practical. CoRR Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu
2014	J	`jnl`	A Simple Homotopy Proximal Mapping for Compressive Sensing. CoRR Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu
2014	J	`jnl`	A Two-Level Topic Model Towards Knowledge Discovery from Citation Networks. IEEE Trans. Knowl. Data Eng. Zhen Guo, Zhongfei (Mark) Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong
2014	J	`jnl`	An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. CoRR Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
2014	J	`jnl`	CUR Algorithm with Incomplete Matrix Observation. CoRR Rong Jin, Shenghuo Zhu
2014	—	`ch.`	Combining Link and Content for Community Detection. Encyclopedia of Social Network Analysis and Mining Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2014	A*	`conf`	Distance metric learning using dropout: a structured regularization approach. KDD Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu
2014	A	`conf`	Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs. AISTATS Jianhui Chen, Tianbao Yang, Shenghuo Zhu
2014	J	`jnl`	On Data Preconditioning for Regularized Loss Minimization. CoRR Tianbao Yang, Rong Jin, Shenghuo Zhu, Qihang Lin
2014	J	`jnl`	Random Projections for Classification: A Recovery Approach. IEEE Trans. Inf. Theory Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu
2014	J	`jnl`	Regret bounded by gradual variation for online convex optimization. Mach. Learn. Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu
2013	J	`jnl`	A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent CoRR Rong Jin, Tianbao Yang, Shenghuo Zhu
2013	J	`jnl`	Comparative Document Summarization via Discriminative Sentence Selection. ACM Trans. Knowl. Discov. Data Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong
2013	J	`jnl`	Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) CoRR Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
2013	A*	`conf`	Efficient Object Detection and Segmentation for Fine-Grained Recognition. CVPR Anelia Angelova, Shenghuo Zhu
2013	J	`jnl`	FacetCube: a general framework for non-negative tensor factorization. Knowl. Inf. Syst. Yun Chi, Shenghuo Zhu
2013	A	`conf`	Image segmentation for large-scale subcategory flower recognition. WACV Anelia Angelova, Shenghuo Zhu, Yuanqing Lin
2013	J	`jnl`	On Theoretical Analysis of Distributed Stochastic Dual Coordinate Ascent. CoRR Tianbao Yang, Shenghuo Zhu, Rong Jin, Yuanqing Lin
2013	J	`jnl`	One-Pass AUC Optimization CoRR Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2013	—	`conf`	One-Pass AUC Optimization. ICML (3) Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
2013	—	`conf`	Packing light: Portable workload performance prediction for the cloud. ICDE Workshops Jennie Duggan, Yun Chi, Hakan Hacigümüs, Shenghuo Zhu, Ugur Çetintemel
2013	A*	`conf`	Predicting query execution time: Are optimizer cost models really unusable? ICDE Wentao Wu, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Hakan Hacigümüs, Jeffrey F. Naughton
2013	A*	`conf`	Recovering the Optimal Solution by Dual Random Projection. COLT Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu
2013	A*	`conf`	Regionlets for Generic Object Detection. ICCV Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin
2013	J	`jnl`	Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates CoRR Shenghuo Zhu
2013	J	`jnl`	SumView: A Web-based engine for summarizing product reviews and customer opinions. Expert Syst. Appl. Dingding Wang, Shenghuo Zhu, Tao Li
2012	J	`jnl`	A Bayesian Framework for Community Detection Integrating Content and Link CoRR Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2012	J	`jnl`	A short note on the tail bound of Wishart distribution CoRR Shenghuo Zhu
2012	J	`jnl`	An Efficient Primal-Dual Prox Method for Non-Smooth Optimization CoRR Tianbao Yang, Rong Jin, Mehrdad Mahdavi, Shenghuo Zhu
2012	J	`jnl`	Comparative document summarization via discriminative sentence selection. ACM Trans. Knowl. Discov. Data Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong
2012	—	`conf`	Deep Learning of Invariant Features via Simulated Fixations in Video. NIPS Will Y. Zou, Andrew Y. Ng, Shenghuo Zhu, Kai Yu
2012	J	`jnl`	Influence Analysis in the Blogosphere CoRR Michinari Momma, Yun Chi, Yuanqing Lin, Shenghuo Zhu, Tianbao Yang
2012	J	`jnl`	Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval CoRR Chang Huang, Shenghuo Zhu, Kai Yu
2012	A*	`conf`	Online Optimization with Gradual Variations. COLT Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu
2012	J	`jnl`	Resolution-invariant coding for continuous image super-resolution. Neurocomputing Jinjun Wang, Shenghuo Zhu
2012	—	`conf`	Stochastic Gradient Descent with Only One Projection. NIPS Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi
2011	—	`conf`	ActiveSLA: a profit-oriented admission control framework for database-as-a-service providers. SoCC Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Jun'ichi Tatemura, Calton Pu, Hakan Hacigümüs
2011	A	`conf`	Can irrelevant data help semi-supervised learning, why and how? CIKM Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu
2011	A*	`conf`	Combining file content and file relations for cloud based malware detection. KDD Yanfang Ye, Tao Li, Shenghuo Zhu, Weiwei Zhuang, Egemen Tas, Umesh Gupta, Melih Abdulhayoglu
2011	J	`jnl`	Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding
2011	A*	`conf`	Contextual weighting for vocabulary tree based image retrieval. ICCV Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han
2011	A*	`conf`	Correspondence driven adaptation for human profile recognition. CVPR Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu
2011	J	`jnl`	Detecting communities and their evolutions in dynamic social networks - a Bayesian approach. Mach. Learn. Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
2011	J	`jnl`	Integrating Document Clustering and Multidocument Summarization. ACM Trans. Knowl. Discov. Data Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yihong Gong
2011	A*	`conf`	Intelligent management of virtualized resources for database systems in cloud environment. ICDE Pengcheng Xiong, Yun Chi, Shenghuo Zhu, Hyun Jin Moon, Calton Pu, Hakan Hacigümüs
2011	A*	`conf`	Large-scale image classification: Fast feature extraction and SVM training. CVPR Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang
2011	J	`jnl`	iHelp: An Intelligent Online Helpdesk System. IEEE Trans. Syst. Man Cybern. Part B Dingding Wang, Tao Li, Shenghuo Zhu, Yihong Gong
2010	A*	`conf`	A Topic Model for Linked Documents and Update Rules for its Estimation. AAAI Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Yihong Gong
2010	—	`conf`	Deep Coding Network. NIPS Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu
2010	A	`conf`	Directed Network Community Detection: A Popularity and Productivity Link Model. SDM Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
2010	J	`jnl`	Driving Safety Monitoring Using Semisupervised Learning on Time Series Data. IEEE Trans. Intell. Transp. Syst. Jinjun Wang, Shenghuo Zhu, Yihong Gong
2010	A	`conf`	FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization. CIKM Yun Chi, Shenghuo Zhu
2010	J	`jnl`	Feature Selection for Gene Expression Using Model-Based Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihong Gong
2010	J	`jnl`	Resolution enhancement based on learning the sparse association of image patches. Pattern Recognit. Lett. Jinjun Wang, Shenghuo Zhu, Yihong Gong
2010	A*	`conf`	Smooth Optimization for Effective Multiple Kernel Learning. AAAI Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King
2010	B	`conf`	Unsupervised Learning from Linked Documents. ICPR Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong
2010	—	`conf`	Videos Semantic Indexing using Image Classification. TRECVID Ming Yang, Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Kai Yu, Mert Dikmen, Liangliang Cao, Thomas S. Huang
2009	A	`conf`	A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks. SDM Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
2009	A	`conf`	A Bayesian Framework for Community Detection Integrating Content and Link. UAI Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2009	A*	`conf`	A latent topic model for linked documents. SIGIR Zhen Guo, Shenghuo Zhu, Yun Chi, Zhongfei Zhang, Yihong Gong
2009	J	`jnl`	Analyzing communities and their evolutions in dynamic social networks. ACM Trans. Knowl. Discov. Data Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, Belle L. Tseng
2009	A*	`conf`	Combining link and content for community detection: a discriminative approach. KDD Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
2009	A	`conf`	Comparative document summarization via discriminative sentence selection. CIKM Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong
2009	A*	`conf`	Fast nonparametric matrix factorization for large-scale collaborative filtering. SIGIR Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gong
2009	A*	`conf`	Knowledge Discovery from Citation Networks. ICDM Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Yihong Gong
2009	A*	`conf`	Large-scale collaborative prediction using a nonparametric random effects model. ICML Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong
2009	A	`conf`	Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar
2009	—	`conf`	Multi-Document Summarization using Sentence-based Topic Models. ACL/IJCNLP (2) Dingding Wang, Shenghuo Zhu, Tao Li, Yihong Gong
2009	J	`jnl`	Music Clustering With Features From Different Information Sources. IEEE Trans. Multim. Tao Li, Mitsunori Ogihara, Wei Peng, Bo Shao, Shenghuo Zhu
2009	A	`conf`	Ordering innovators and laggards for product categorization and recommendation. RecSys Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
2009	A*	`conf`	Resolution-Invariant Image Representation and its applications. CVPR Jinjun Wang, Shenghuo Zhu, Yihong Gong
2009	A	`conf`	Resolution-Invariant Image Representation for Content-Based Zooming. ICME Jinjun Wang, Shenghuo Zhu, Yihong Gong
2009	J	`jnl`	Visual-Quality Optimizing Super Resolution. Comput. Graph. Forum Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, Yihong Gong
2009	J	`jnl`	iOLAP: A Framework for Analyzing the Internet, Social Networks, and Other Networked Data. IEEE Trans. Multim. Yun Chi, Shenghuo Zhu, Koji Hino, Yihong Gong, Yi Zhang
2008	J	`jnl`	Dynamic active probing of helpdesk databases. Proc. VLDB Endow. Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang, Yihong Gong
2008	A*	`conf`	Facetnet: a framework for analyzing communities and their evolutions in dynamic networks. WWW Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, Belle L. Tseng
2008	A	`conf`	Integrating clustering and multi-document summarization to improve document understanding. CIKM Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yihong Gong
2008	J	`jnl`	KDD2008 workshop report DMMT'08: data mining using matrices and tensors. SIGKDD Explor. Chris H. Q. Ding, Tao Li, Shenghuo Zhu
2008	A*	`conf`	Learning multiple graphs for document recommendations. WWW Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles
2008	A*	`conf`	Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. SIGIR Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. Ding
2008	A*	`conf`	Noisy video super-resolution. ACM Multimedia Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, Yihong Gong
2008	A*	`conf`	Non-greedy active learning for text categorization using convex transductive experimental design. SIGIR Kai Yu, Shenghuo Zhu, Wei Xu, Yihong Gong
2008	A	`conf`	Probabilistic polyadic factorization and its application to personalized recommendation. CIKM Yun Chi, Shenghuo Zhu, Yihong Gong, Yi Zhang
2008	—	`conf`	Stochastic Relational Models for Large-scale Dyadic Data using MCMC. NIPS Shenghuo Zhu, Kai Yu, Yihong Gong
2008	J	`jnl`	Text categorization via generalized discriminant analysis. Inf. Process. Manag. Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2007	—	`conf`	Capturing User Interests by Both Exploitation and Exploration. User Modeling Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, Belle L. Tseng
2007	A*	`conf`	Combining content and link for classification using matrix factorization. SIGIR Shenghuo Zhu, Kai Yu, Yun Chi, Yihong Gong
2007	A	`conf`	Efficient Video Object Segmentation by Graph-Cut. ICME Jinjun Wang, Wei Xu, Shenghuo Zhu, Yihong Gong
2007	J	`jnl`	Hierarchical document classification using automatically generated hierarchy. J. Intell. Inf. Syst. Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2007	A	`conf`	Monitoring RSS Feeds Based on User Browsing Pattern. ICWSM Ka Cheung Sia, Junghoo Cho, Koji Hino, Yun Chi, Shenghuo Zhu, Belle L. Tseng
2007	—	`conf`	Predictive Matrix-Variate t Models. NIPS Shenghuo Zhu, Kai Yu, Yihong Gong
2007	A*	`conf`	Structural and temporal analysis of the blogosphere through community factorization. KDD Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tatemura, Belle L. Tseng
2006	B	`conf`	Empirical Studies on Multi-label Classification. ICTAI Tao Li, Chengliang Zhang, Shenghuo Zhu
2006	A*	`conf`	Integrating Features from Different Sources for Music Information Retrieval. ICDM Tao Li, Mitsunori Ogihara, Shenghuo Zhu
2006	C	`conf`	Trend Analysis for Large Document Streams. ICMLA Chengliang Zhang, Shenghuo Zhu, Yihong Gong
2006	J	`jnl`	Using discriminant analysis for multi-class classification: an experimental investigation. Knowl. Inf. Syst. Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2005	A	`conf`	Efficient map synchronization in ad hoc mobile robot networks for environment exploration. IROS Weihua Sheng, Qingyan Yang, Shenghuo Zhu, Qizhi Wang
2005	A*	`conf`	Multi-labelled classification using maximum entropy method. SIGIR Shenghuo Zhu, Xiang Ji, Wei Xu, Yihong Gong
2004	A*	`conf`	Identifying early buyers from purchase data. KDD Paat Rusmevichientong, Shenghuo Zhu, David Selinger
2003	Misc	`conf`	A Framework of Individually-Focused Teleconferencing (IFT) via an Efficient 3D Reprojection Technique. SAC Qi Li, Chris Brown, Chandra Kambhamettu, Tao Li, Shenghuo Zhu
2003	Misc	`conf`	A New Distributed Data Mining Model Based on Similarity. SAC Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2003	J	`jnl`	Algorithms for clustering high dimensional and distributed data. Intell. Data Anal. Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2003	J	`jnl`	Association-based similarity testing and its applications. Intell. Data Anal. Tao Li, Mitsunori Ogihara, Shenghuo Zhu
2003	A	`conf`	Efficient multi-way text categorization via generalized discriminant analysis. CIKM Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2003	Misc	`conf`	Gene Functional Classification by Semisupervised Learning from Heterogeneous Data. SAC Tao Li, Shenghuo Zhu, Qi Li, Mitsunori Ogihara
2003	A*	`conf`	Topic hierarchy generation via linear discriminant projection. SIGIR Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2003	A*	`conf`	Using Discriminant Analysis for Multi-class Classification. ICDM Tao Li, Shenghuo Zhu, Mitsunori Ogihara
2002	J	`jnl`	A Survey on Wavelet Applications in Data Mining. SIGKDD Explor. Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara
2002	B	`conf`	Attentional Object Spotting by Integrating Multimodal Input. ICMI Chen Yu, Dana H. Ballard, Shenghuo Zhu
2002	B	`conf`	CoFD : An Algorithm for Non-distance Based Clustering in High Dimensional Spaces. DaWaK Shenghuo Zhu, Tao Li, Mitsunori Ogihara
2002	A*	`conf`	Document clustering with cluster refinement and model selection capabilities. SIGIR Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
2002	B	`conf`	Estimating Joint Probabilities from Marginal Ones. DaWaK Tao Li, Shenghuo Zhu, Mitsunori Ogihara, Yinhe Cheng
2002	A*	`conf`	Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing. ICDM Qi Li, Tao Li, Shenghuo Zhu, Chandra Kambhamettu