Shunyu Liu
18 papers · 2023–2026 · 7 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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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (47) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (105)
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Prolific Year · Prolific
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Core AI
(10)
Deep Learning
(9)
Reinforcement Learning
(7)
Learning Types · Machine Learning
(7)
Methods
(7)
Architectures
(4)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory
(4)
Learning Paradigms
(3)
Natural Language Processing
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
large language model
(3)
multi-agent reinforcement learning
(3)
offline reinforcement learning
(2)
transfer learning
(2)
policy optimization
(2)
contrastive learning
(2)
graph neural network
(2)
feature learning
(1)
ensemble learning
(1)
adversarial learning
(1)
data augmentation
(1)
zero-shot learning
(1)
computer vision
(1)
graph classification
(1)
graph representation learning
(1)
few-shot learning
(1)
knowledge transfer
(1)
knowledge distillation
(1)
self-supervised learning
(1)
adversarial robustness
(1)
Papers
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
AAAI 2026
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
ACL 2026
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
AAAI 2025
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
IJCAI 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
AAAI 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
AAAI 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
ICLR 2025
Holistic Semantic Representation for Navigational Trajectory Generation
AAAI 2025
Odyssey : Empowering Minecraft Agents with Open-World Skills
IJCAI 2025
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
ICCV 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure
ACL 2025
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
NeurIPS 2024
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
COLING 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models
COLING 2024
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
AAAI 2023
Lookaround Optimizer: k steps around, 1 step average
NeurIPS 2023