Zhu, Shenghuo

41 publications

MLJ 2020 High-Dimensional Model Recovery from Random Sketched Data by Exploring Intrinsic Sparsity Tianbao Yang, Lijun Zhang, Qihang Lin, Shenghuo Zhu, Rong Jin

MLJ 2019 A Simple Homotopy Proximal Mapping Algorithm for Compressive Sensing Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

UAI 2019 Learning with Non-Convex Truncated Losses by SGD Yi Xu, Shenghuo Zhu, Sen Yang, Chi Zhang, Rong Jin, Tianbao Yang

AAAI 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu, Sen Yang, Shenghuo Zhu

AAAI 2019 Robust Online Matching with User Arrival Distribution Drift Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

AAAI 2019 Robust Optimization over Multiple Domains Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

AAAI 2019 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

AAAI 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

AAAI 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin

AAAI 2018 Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin

IJCAI 2018 Multinomial Logit Bandit with Linear Utility Functions Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin

MLJ 2016 On Data Preconditioning for Regularized Loss Minimization Tianbao Yang, Rong Jin, Shenghuo Zhu, Qihang Lin

MLJ 2015 An Efficient Primal Dual Prox Method for Non-Smooth Optimization Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu

ICML 2015 An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu

MLJ 2015 Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu

CVPR 2015 Fine-Grained Visual Categorization via Multi-Stage Metric Learning Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin

AAAI 2015 Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu

ICML 2015 Theory of Dual-Sparse Regularized Randomized Reduction Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu

AISTATS 2014 Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs Jianhui Chen, Tianbao Yang, Shenghuo Zhu

MLJ 2014 Regret Bounded by Gradual Variation for Online Convex Optimization Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu

CVPR 2013 Efficient Object Detection and Segmentation for Fine-Grained Recognition Anelia Angelova, Shenghuo Zhu

WACV 2013 Image Segmentation for Large-Scale Subcategory Flower Recognition Anelia Angelova, Shenghuo Zhu, Yuanqing Lin

ICML 2013 One-Pass AUC Optimization Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou

COLT 2013 Recovering the Optimal Solution by Dual Random Projection Lijun Zhang, Mehrdad Mahdavi, Rong Jin, Tianbao Yang, Shenghuo Zhu

ICCV 2013 Regionlets for Generic Object Detection Xiaoyu Wang, Ming Yang, Shenghuo Zhu, Yuanqing Lin

NeurIPS 2012 Deep Learning of Invariant Features via Simulated Fixations in Video Will Zou, Shenghuo Zhu, Kai Yu, Andrew Y. Ng

COLT 2012 Online Optimization with Gradual Variations Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu

NeurIPS 2012 Stochastic Gradient Descent with Only One Projection Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu, Jinfeng Yi

ICCV 2011 Contextual Weighting for Vocabulary Tree Based Image Retrieval Xiaoyu Wang, Ming Yang, Timothée Cour, Shenghuo Zhu, Kai Yu, Tony X. Han

CVPR 2011 Correspondence Driven Adaptation for Human Profile Recognition Ming Yang, Shenghuo Zhu, Fengjun Lv, Kai Yu

MLJ 2011 Detecting Communities and Their Evolutions in Dynamic Social Networks - A Bayesian Approach Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin

CVPR 2011 Large-Scale Image Classification: Fast Feature Extraction and SVM Training Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothée Cour, Kai Yu, Liangliang Cao, Thomas S. Huang

AAAI 2010 A Topic Model for Linked Documents and Update Rules for Its Estimation Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Yihong Gong

NeurIPS 2010 Deep Coding Network Yuanqing Lin, Tong Zhang, Shenghuo Zhu, Kai Yu

AAAI 2010 Smooth Optimization for Effective Multiple Kernel Learning Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King

UAI 2009 A Bayesian Framework for Community Detection Integrating Content and Link Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu

ICML 2009 Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model Kai Yu, John D. Lafferty, Shenghuo Zhu, Yihong Gong

AISTATS 2009 Learning Sparse Markov Network Structure via Ensemble-of-Trees Models Yuanqing Lin, Shenghuo Zhu, Daniel Lee, Ben Taskar

CVPR 2009 Resolution-Invariant Image Representation and Its Applications Jinjun Wang, Shenghuo Zhu, Yihong Gong

NeurIPS 2008 Stochastic Relational Models for Large-Scale Dyadic Data Using MCMC Shenghuo Zhu, Kai Yu, Yihong Gong

NeurIPS 2007 Predictive Matrix-Variate T Models Shenghuo Zhu, Kai Yu, Yihong Gong