Jialei Wang
26 papers · 2011–2025 · 12 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
π±
Topic Pioneer
ποΈ
Keyword Collector
(110)
π
Conference Pioneer
π
Century Club
(26)
π₯
Unstoppable
(7)
π
Trend Setter
β‘
Prolific Year
(6)
Conferences
JMLR (5)
NIPS (5)
AISTATS (3)
ICML (3)
ACL (2)
ACML (2)
AAAI (1)
ALT (1)
COLT (1)
CVPR (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
distributed optimization
(5)
convex optimization
(4)
online learning
(3)
communication efficiency
(3)
stochastic gradient descent
(3)
kernel methods
(2)
distributed learning
(2)
canonical correlation analysis
(2)
variance reduction
(2)
stochastic optimization
(2)
empirical risk minimization
(2)
stochastic gradient
(2)
large-scale learning
(2)
speech synthesis
(1)
collaborative filtering
(1)
nonconvex optimization
(1)
style transfer
(1)
feature selection
(1)
multi-task learning
(1)
dimensionality reduction
(1)
Papers
FlashAudio: Rectified Flow for Fast and High-Fidelity Text-to-Audio Generation
ACL 2025
OmniAudio: Generating Spatial Audio from 360-Degree Video
ICML 2025
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
NIPS 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation
AAAI 2024
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations
JMLR 2019
Stochastic Canonical Correlation Analysis
JMLR 2019
Efficient coordinate-wise leading eigenvector computation
ALT 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization
NIPS 2018
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
NIPS 2018
Multi-Information Source Optimization
NIPS 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
AISTATS 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox
COLT 2017
Efficient Distributed Learning with Sparsity
ICML 2017
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
ICML 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
JMLR 2017
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion
CVPR 2016
Distributed Multi-Task Learning
AISTATS 2016
Inference for High-dimensional Exponential Family Graphical Models
AISTATS 2016
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis
NIPS 2016
Large Scale Online Kernel Learning
JMLR 2016
SOLAR: Scalable Online Learning Algorithms for Ranking
IJCNLP 2015
SOLAR: Scalable Online Learning Algorithms for Ranking
ACL 2015
LIBOL: A Library for Online Learning Algorithms
JMLR 2014
Second Order Online Collaborative Filtering
ACML 2013
Large Scale Online Kernel Classification
IJCAI 2013
Unsupervised Multiple Kernel Learning
ACML 2011