Guohao Li

About Guohao Li

Guohao Li, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at King Abdullah University of Science and Technology, specializes in the field of Autonomous Agents, Graph Neural Networks, Computer Vision, Embodied AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can Large Language Model Agents Simulate Human Trust Behaviors?

Leveraging 2D Molecular Graph Pretraining for Improved 3D Conformer Generation with Graph Neural Networks

Brave the wind and the waves: Discovering robust and generalizable graph lottery tickets

The snowflake hypothesis: Training deep GNN with one node one receptive field

Mindstorms in natural language-based societies of mind

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers

Camel: Communicative agents for" mind" exploration of large language model society

Knowledge-aware Global Reasoning for Situation Recognition

Guohao Li Information

University

Position

PhD student at

Citations(all)

2645

Citations(since 2020)

2642

Cited By

357

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Guohao Li Skills & Research Interests

Autonomous Agents

Graph Neural Networks

Computer Vision

Embodied AI

Top articles of Guohao Li

Can Large Language Model Agents Simulate Human Trust Behaviors?

arXiv preprint arXiv:2402.04559

2024/2/7

Leveraging 2D Molecular Graph Pretraining for Improved 3D Conformer Generation with Graph Neural Networks

Computers & Chemical Engineering

2024/2/7

Brave the wind and the waves: Discovering robust and generalizable graph lottery tickets

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/12/13

The snowflake hypothesis: Training deep GNN with one node one receptive field

arXiv preprint arXiv:2308.10051

2023/8/19

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers

arXiv preprint arXiv:2305.16925

2023/5/26

Guohao Li
Guohao Li

H-Index: 6

Bernard Ghanem
Bernard Ghanem

H-Index: 42

Camel: Communicative agents for" mind" exploration of large language model society

Advances in Neural Information Processing Systems

2023/11/2

Knowledge-aware Global Reasoning for Situation Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/1/23

DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions

IEEE Transactions on Pattern Analysis and Machine Intelligence

2023/8/21

Diffusion-based scene graph to image generation with masked contrastive pre-training

arXiv preprint arXiv:2211.11138

2022/11/21

LC-NAS: Latency constrained neural architecture search for point cloud networks

2022/9/12

UnrealNAS: Can We Search Neural Architectures with Unreal Data?

arXiv preprint arXiv:2205.02162

2022/5/4

Learning scene flow in 3d point clouds with noisy pseudo labels

arXiv preprint arXiv:2203.12655

2022/3/23

Flag: Adversarial data augmentation for graph neural networks

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2022/3/1

Towards Structured Intelligence with Deep Graph Neural Networks

2022

Guohao Li
Guohao Li

H-Index: 6

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search

2022

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

Advances in Neural Information Processing Systems (NeurIPS)

2021/10/20

Technology for memory-efficient and parameter-efficient graph neural networks

2021/10/14

DEEPERBIGGERBETTER FOR OGB-LSC AT KDD CUP 2021

2021/6/16

Training Graph Neural Networks with 1000 Layers

International Conference on Machine Learning (ICML)

2021/6/14

See List of Professors in Guohao Li University(King Abdullah University of Science and Technology)

Co-Authors

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