Shiqian Ma
17 papers · 2010–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π¬
Deep Specialist
(12)
π
Keyword Champion
(3)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(92)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory Β· Machine Learning
(13)
Mathematics & Optimization
(10)
Optimization
(10)
Deep Learning
(5)
Core Methods
(4)
Speech & Audio
(3)
Mathematics
(3)
Artificial Intelligence
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Synthesis
(2)
Data Science & Analytics
(1)
Analysis
(1)
Keywords
bilevel optimization
(4)
optimal transport
(3)
convex optimization
(3)
stiefel manifold
(3)
riemannian optimization
(3)
stochastic optimization
(3)
wasserstein distance
(2)
stochastic gradient descent
(2)
linear convergence
(2)
block coordinate descent
(2)
nonsmooth optimization
(2)
generative adversarial network
(2)
convergence analysis
(1)
hyperparameter optimization
(1)
source separation
(1)
adversarial learning
(1)
speech separation
(1)
speech enhancement
(1)
structure learning
(1)
decentralized optimization
(1)
Papers
Efficiently Escaping Saddle Points in Bilevel Optimization
JMLR 2025
First-Order Federated Bilevel Learning
AAAI 2025
Riemannian Bilevel Optimization
JMLR 2025
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
ICLR 2025
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport
JMLR 2024
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
ICML 2023
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
JMLR 2022
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
ICML 2021
Projection Robust Wasserstein Barycenters
ICML 2021
Robust Speaker Extraction Network Based on Iterative Refined Adaptation
Interspeech 2021
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet
Interspeech 2020
Generative Adversarial Network Based Acoustic Echo Cancellation
Interspeech 2020
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
NeurIPS 2018
Geometric Descent Method for Convex Composite Minimization
NeurIPS 2017
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
ICML 2017
Barzilai-Borwein Step Size for Stochastic Gradient Descent
NeurIPS 2016
Sparse Inverse Covariance Selection via Alternating Linearization Methods
NeurIPS 2010