Yanli Liu
10 papers · 2018–2025 · 5 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (25)
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Topic Evolution
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Deep Learning
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Reinforcement Learning
(2)
Analysis
(2)
Generation
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Models
(2)
Optimization
(2)
Processing
(2)
Computer Science
(1)
Keywords
graph matching
(3)
branch and bound
(3)
combinatorial optimization
(3)
stochastic gradient descent
(2)
convergence rate
(2)
diffusion model
(2)
stochastic variance reduced gradient
(2)
variance reduction
(2)
convergence analysis
(2)
reinforcement learning
(2)
video understanding
(1)
portrait animation
(1)
facial animation
(1)
empirical risk minimization
(1)
non-convex optimization
(1)
sample complexity
(1)
edge detection
(1)
gradient descent
(1)
natural policy gradient
(1)
value function
(1)
Papers
High-Fidelity Relightable Monocular Portrait Animation with Lighting-Controllable Video Diffusion Model
CVPR 2025
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
CVPR 2024
Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection
IJCAI 2024
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem
AAAI 2023
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem
IJCAI 2022
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems
AAAI 2020
An Improved Analysis of Stochastic Gradient Descent with Momentum
NeurIPS 2020
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
NeurIPS 2020
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
ICML 2019
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
NeurIPS 2018