Liuyi Yao
12 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
π
Grand Slam
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(8)
Machine Learning
(7)
Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
large language model
(4)
causal inference
(3)
observational data
(2)
treatment effect estimation
(2)
representation learning
(2)
treatment effect
(2)
reinforcement learning
(2)
federated learning
(2)
concept-based explanation
(1)
reward function
(1)
certified robustness
(1)
short-term memory
(1)
communication efficiency
(1)
functional magnetic resonance imaging
(1)
model safety
(1)
distance metric
(1)
confidence calibration
(1)
sparse model
(1)
generalization error bound
(1)
dropout regularization
(1)
Papers
Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
ACL 2026
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
ACL 2025
Safety Layers in Aligned Large Language Models: The Key to LLM Security
ICLR 2025
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
NeurIPS 2024
When to Trust LLMs: Aligning Confidence with Response Quality
ACL 2024
Efficient Personalized Federated Learning via Sparse Model-Adaptation
ICML 2023
Imbalance-Aware Uplift Modeling for Observational Data
AAAI 2022
Towards Automating Model Explanations with Certified Robustness Guarantees
AAAI 2022
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks
AAAI 2020
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm
IJCAI 2019
On the Estimation of Treatment Effect with Text Covariates
IJCAI 2019
Representation Learning for Treatment Effect Estimation from Observational Data
NeurIPS 2018