Tennison Liu
14 papers · 2022–2025 · 3 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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๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (34) ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Bronze ๐ Triple Crown
๐ค
Dynamic Duo
(14)
๐
Renaissance Researcher
(5)
โก
Prolific Year ยท Productive
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(69)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Core Methods
(6)
Optimization & Theory
(6)
Learning Types
(5)
Architectures
(3)
Models
(3)
Natural Language Processing
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Keywords
large language model
(7)
tabular data
(3)
dynamical system
(2)
hyperparameter tuning
(2)
synthetic data generation
(1)
model interpretability
(1)
few-shot learning
(1)
multi-view learning
(1)
question generation
(1)
uncertainty reduction
(1)
bayesian experimental design
(1)
partial observability
(1)
bayesian optimization
(1)
time series forecasting
(1)
conditional distribution
(1)
monte carlo tree search
(1)
neural network regularization
(1)
unsupervised representation learning
(1)
latent representation
(1)
message passing
(1)
Papers
Active Task Disambiguation with LLMs
ICLR 2025
Autoformulation of Mathematical Optimization Models Using LLMs
ICML 2025
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
ICLR 2025
Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
ICML 2025
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
NeurIPS 2024
Automatically Learning Hybrid Digital Twins of Dynamical Systems
NeurIPS 2024
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
NeurIPS 2024
Large Language Models to Enhance Bayesian Optimization
ICLR 2024
Towards Transparent Time Series Forecasting
ICLR 2024
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
ICLR 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion
NeurIPS 2023
Learning Representations without Compositional Assumptions
ICML 2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
ICLR 2023
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
ICML 2022