Yao Mu
35 papers · 2021–2026 · 10 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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πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(13)
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Keyword Champion
(4)
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Grand Slam
π€
Dynamic Duo
(18)
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Triple Crown
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(186)
Venues
Top co-authors
Research topics
Artificial Intelligence
(27)
Core AI
(27)
Deep Learning
(15)
Machine Learning
(15)
Reinforcement Learning
(13)
Models
(11)
Robotics
(10)
Methods
(10)
Learning Types Β· Machine Learning
(9)
Capabilities
(7)
Applications Β· Reinforcement Learning
(6)
Learning Types Β· Deep Learning
(6)
Applications Β· Robotics
(5)
Learning Paradigms
(5)
Application Areas
(3)
Keywords
robotic manipulation
(7)
large language model
(7)
vision-language model
(4)
sample efficiency
(4)
diffusion model
(4)
task planning
(4)
offline reinforcement learning
(3)
robot manipulation
(3)
foundation model
(3)
vision-language-action model
(2)
imitation learning
(2)
reinforcement learning
(2)
skill learning
(2)
trajectory generation
(2)
meta-reinforcement learning
(2)
benchmark evaluation
(2)
trajectory prediction
(2)
policy learning
(2)
contrastive learning
(2)
k-means clustering
(1)
Papers
MM-ACT: Learn from Multimodal Parallel Generation to Act
CVPR 2026
MoEActok: A MoE-based Action Tokenizer for Vision-Language-Action Models
CVPR 2026
SpatialLogic-Bench: A Diagnostic Benchmark for Task-Oriented Spatiotemporal Reasoning
AAAI 2026
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
CVPR 2025
EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents
ICLR 2025
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
CVPR 2025
GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
CVPR 2025
HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model
ACL 2025
M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
ICLR 2025
PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation
ICCV 2025
RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
CVPR 2025
RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
CVPR 2025
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
ACL 2025
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
ICLR 2024
Feasible Reachable Policy Iteration
ICML 2024
Human-oriented Representation Learning for Robotic Manipulation
RSS 2024
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
ICML 2024
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
ICML 2024
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
ICLR 2024
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
CVPR 2024
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
ICLR 2024
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions
NeurIPS 2024
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model
ICML 2024
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
ICML 2023
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
ICLR 2023
EC2: Emergent Communication for Embodied Control
CVPR 2023
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
NeurIPS 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
ICLR 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
ICML 2023
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
NeurIPS 2022
Donβt Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
IJCAI 2022
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
NeurIPS 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System
EMNLP 2022
Scale-Equivalent Distillation for Semi-Supervised Object Detection
CVPR 2022
Model-Based Reinforcement Learning via Imagination with Derived Memory
NeurIPS 2021