Shibo Li
15 papers · 2020–2024 · 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
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (33) π€ Dynamic Duo (15)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(72)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Core Methods
(7)
Optimization & Theory
(7)
Learning Types
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Deep Learning
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Optimization
(3)
Application Areas
(2)
Architectures
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
gaussian process
(7)
tensor decomposition
(5)
mutual information
(3)
acquisition function
(3)
variational inference
(2)
active learning
(2)
partial differential equation
(2)
multi-fidelity optimization
(2)
deep neural network
(2)
physics-informed neural network
(2)
embedding learning
(2)
bayesian optimization
(2)
bayesian model
(1)
bayesian inference
(1)
optimal transport
(1)
temporal learning
(1)
probabilistic modeling
(1)
multi-output regression
(1)
posterior inference
(1)
hyperparameter optimization
(1)
Papers
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
ICLR 2024
Multi-Resolution Active Learning of Fourier Neural Operators
AISTATS 2024
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
ICLR 2024
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
NeurIPS 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
ICML 2023
Meta-Learning with Adjoint Methods
AISTATS 2023
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition
NeurIPS 2023
Batch Multi-Fidelity Active Learning with Budget Constraints
NeurIPS 2022
Decomposing Temporal High-Order Interactions via Latent ODEs
ICML 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
AISTATS 2022
Infinite-Fidelity Coregionalization for Physical Simulation
NeurIPS 2022
Nonparametric Embeddings of Sparse High-Order Interaction Events
ICML 2022
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
NeurIPS 2021
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
NeurIPS 2020
Scalable Gaussian Process Regression Networks
IJCAI 2020