Shunyu Liu
18 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
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Conferences
AAAI (6)
ACL (3)
IJCAI (3)
COLING (2)
NIPS (2)
ICCV (1)
ICLR (1)
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Keywords
multi-agent reinforcement learning
(3)
large language model
(3)
offline reinforcement learning
(2)
transfer learning
(2)
contrastive learning
(2)
policy optimization
(2)
feature learning
(1)
ensemble learning
(1)
adversarial learning
(1)
information extraction
(1)
zero-shot learning
(1)
few-shot learning
(1)
computer vision
(1)
self-supervised learning
(1)
graph representation learning
(1)
knowledge transfer
(1)
knowledge distillation
(1)
data augmentation
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adversarial robustness
(1)
representation learning
(1)
Papers
RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
ACL 2026
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
AAAI 2026
Odyssey : Empowering Minecraft Agents with Open-World Skills
IJCAI 2025
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
IJCAI 2025
Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location
AAAI 2025
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
AAAI 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
AAAI 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure
ACL 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
ICLR 2025
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
ICCV 2025
Holistic Semantic Representation for Navigational Trajectory Generation
AAAI 2025
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
COLING 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
NIPS 2024
Letβs Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models
COLING 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Lookaround Optimizer: $k$ steps around, 1 step average
NIPS 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
AAAI 2023