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Zhe Liu — most-cited papers & profile · Speech Audio
← authors
·
overview
Zhe Liu
32
papers ·
52
citations ·
6
h-index
Guangzhou University of Chinese Medicine
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FLAME: Learning To Navigate With Multimodal LLM In Urban Environments
2024 · 14 citations
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
2020 · 13 citations
Learning-enhanced electronic skin for tactile sensing on deformable surface based on electrical impedance tomography
2025 · 9 citations
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
2021 · 6 citations
Deterministic photon source of genuine three-qubit entanglement
2023 · 5 citations
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
2023 · 3 citations
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
2021 · 1 citations
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
2024 · 1 citations
BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories
2026
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT
2026
Describe, Adapt And Combine: Empowering CLIP Encoders For Open-set 3D Object Retrieval
2025
SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT
2026
BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation
2026
BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation
2026
ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments
2026
Topics
Perception
Manipulation
Navigation
Evaluation
Vision-Language Models
Multi-Robot
Model Architecture
Training Techniques
Benchmarks
Tool Use