ao zhou
8 papers · 2023–2026 · 4 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Machine Learning
(4)
Learning Types · Deep Learning
(3)
Reinforcement Learning
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
long-context inference
(2)
offline reinforcement learning
(2)
policy optimization
(2)
attention mechanism
(1)
batch selection
(1)
constrained reinforcement learning
(1)
model calibration
(1)
multi-label classification
(1)
constrained optimization
(1)
constraint satisfaction
(1)
mixture of expert
(1)
variational optimization
(1)
safe reinforcement learning
(1)
bellman operator
(1)
hidden state
(1)
prompt engineering
(1)
vision-language model
(1)
uncertainty estimation
(1)
out-of-distribution action
(1)
variational inference
(1)
Papers
AEA: Adaptive Expert Allocation Improves Sentence Embeddings from Mixture-of-Experts LLM
ACL 2026
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
ACL 2026
Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs
ACL 2026
Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning
CVPR 2026
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
AAAI 2026
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI 2025
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
CVPR 2024
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NeurIPS 2023