Xinran Li
10 papers · 2024–2026 · 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
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Grand Slam π Century Club Β· Bronze
ποΈ
Keyword Collector
(52)
β
The Questioner
β‘
Prolific Year Β· Productive
π
Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(7)
Reinforcement Learning
(6)
Core AI
(6)
Methods
(6)
Machine Learning
(5)
Optimization & Theory
(3)
Learning Types
(2)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Resources & Methods
(1)
Keywords
multi-agent reinforcement learning
(3)
large language model
(2)
multimodal large language model
(2)
curriculum learning
(1)
hierarchical structure
(1)
prompt engineering
(1)
sample efficiency
(1)
markov decision process
(1)
parameter sharing
(1)
scene layout
(1)
learnable mask
(1)
low-rank adaptation
(1)
vision-language model
(1)
safety constraint
(1)
policy heterogeneity
(1)
emotion recognition
(1)
critic ensemble
(1)
reinforcement learning
(1)
sparse reward
(1)
active learning
(1)
Papers
Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
AAAI 2026
MaDS: Long-Horizon GUI Automation via Synergizing Dual-Layer Memory and Multi-Round Debate
ACL 2026
UI-Lens: Assessing General MLLMs' Potential to Automate UI Display Quality Assurance
CVPR 2026
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
ICML 2025
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
ICLR 2025
Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model
AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning
AAAI 2025
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
AISTATS 2025
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
ICML 2024
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
NeurIPS 2024