Yanan Sui
21 papers · 2015–2026 · 9 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 (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Champion
(2)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(97)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(11)
Core AI
(9)
Optimization & Theory
(9)
Reinforcement Learning
(8)
Methods
(8)
Robotics
(5)
Capabilities
(4)
Learning Types
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Systems
(3)
Mathematics & Optimization
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Keywords
bayesian optimization
(5)
safety constraint
(4)
gaussian process
(4)
policy optimization
(3)
motor control
(2)
sample efficiency
(2)
safe exploration
(2)
safe reinforcement learning
(2)
imitation learning
(2)
dueling bandit
(2)
reinforcement learning
(2)
sequential decision making
(2)
regret bound
(2)
high-dimensional optimization
(2)
hyperparameter optimization
(1)
function approximation
(1)
hierarchical planning
(1)
black-box optimization
(1)
density estimation
(1)
posterior sampling
(1)
Papers
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
L4DC 2026
Bipedal Balance Control with Whole-body Musculoskeletal Standing and Falling Simulations
CoRL 2025
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
ICLR 2025
An invariant information geometric method for high-dimensional online optimization
L4DC 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
IJCAI 2024
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
ICML 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC
L4DC 2024
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
CoRL 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NeurIPS 2024
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
NeurIPS 2021
Imitation with Neural Density Models
NeurIPS 2021
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease
IJCAI 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
NeurIPS 2021
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
UAI 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
ICML 2020
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
CVPR 2019
Advancements in Dueling Bandits
IJCAI 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes
ICML 2018
Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces
IJCAI 2017
Safe Exploration for Optimization with Gaussian Processes
ICML 2015