Zihe Liu
4 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Artificial Intelligence
(2)
Machine Learning
(2)
Core AI
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Optimization & Theory
(1)
Reasoning
(1)
Representation
(1)
Keywords
wasserstein distance
(2)
deep reinforcement learning
(1)
reinforcement learning
(1)
continual learning
(1)
policy optimization
(1)
variational inference
(1)
uncertainty modeling
(1)
change detection
(1)
question answering
(1)
policy learning
(1)
preference-based learning
(1)
non-stationary environment
(1)
bayesian neural network
(1)
temporal knowledge graph
(1)
multi-hop reasoning
(1)
knowledge integration
(1)
knowledge conflict
(1)
sparse data
(1)
multi-stage fine-tuning
(1)
large language model
(1)
Papers
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
NAACL 2025
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
IJCAI 2024
Functional Wasserstein Variational Policy Optimization
UAI 2024
Towards Multi-Relational Multi-Hop Reasoning over Dense Temporal Knowledge Graphs
ACL 2024