Shenghuo Zhu
26 papers · 2005–2019 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (68) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(15)
π
Keyword Trendsetter Combo
(6)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π
Trend Setter
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(163)
Venues
Top co-authors
Research topics
Machine Learning
(21)
Optimization & Theory
(14)
Core Methods
(13)
Mathematics & Optimization
(12)
Optimization
(12)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Application Areas
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Analysis
(4)
Learning Types Β· Deep Learning
(4)
Data Science & Analytics
(3)
Architectures
(3)
Bayesian & Probabilistic
(3)
Keywords
stochastic gradient descent
(4)
image classification
(4)
distance metric learning
(3)
regret bound
(3)
convex optimization
(3)
dimensionality reduction
(2)
online learning
(2)
sparse regularization
(2)
multi-armed bandit
(2)
feature learning
(2)
object detection
(2)
matrix completion
(2)
dual problem
(2)
domain generalization
(1)
probabilistic modeling
(1)
metric learning
(1)
non-convex optimization
(1)
image segmentation
(1)
representation learning
(1)
risk management
(1)
Papers
Learning with Non-Convex Truncated Losses by SGD
UAI 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning
AAAI 2019
Robust Online Matching with User Arrival Distribution Drift
AAAI 2019
Robust Optimization over Multiple Domains
AAAI 2019
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
AAAI 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms
AAAI 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee
AAAI 2019
Large-Scale Distance Metric Learning With Uncertainty
CVPR 2018
Multinomial Logit Bandit with Linear Utility Functions
IJCAI 2018
The Opensesame NIST 2016 Speaker Recognition Evaluation System
Interspeech 2017
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
ICML 2015
Fine-Grained Visual Categorization via Multi-Stage Metric Learning
CVPR 2015
Theory of Dual-sparse Regularized Randomized Reduction
ICML 2015
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs
AISTATS 2014
Efficient Object Detection and Segmentation for Fine-Grained Recognition
CVPR 2013
One-Pass AUC Optimization
ICML 2013
Recovering the Optimal Solution by Dual Random Projection
COLT 2013
Regionlets for Generic Object Detection
ICCV 2013
Deep Learning of Invariant Features via Simulated Fixations in Video
NeurIPS 2012
Online Optimization with Gradual Variations
COLT 2012
Stochastic Gradient Descent with Only One Projection
NeurIPS 2012
Deep Coding Network
NeurIPS 2010
Multi-Document Summarization using Sentence-based Topic Models
ACL 2009
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
NeurIPS 2008
Predictive Matrix-Variate t Models
NeurIPS 2007
Learning Sparse Markov Network Structure via Ensemble-of-Trees Models
AISTATS 2005