Guohao Li

Orcid: 0000-0003-0260-5129

Affiliations:
  • King Abdullah University of Science and Technology, Thuwal, Saudi Arabia


According to our database1, Guohao Li authored at least 35 papers between 2018 and 2024.

Collaborative distances:

Timeline

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2024
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Bibliography

2024
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

OASIS: Open Agent Social Interaction Simulations with One Million Agents.
CoRR, 2024

A Scalable Communication Protocol for Networks of Large Language Models.
CoRR, 2024

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.
CoRR, 2024

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents.
CoRR, 2024

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN.
CoRR, 2024

Can Large Language Model Agents Simulate Human Trust Behaviors?
CoRR, 2024

Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks.
Comput. Chem. Eng., 2024

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Knowledge-Aware Global Reasoning for Situation Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

DeepGCNs: Making GCNs Go as Deep as CNNs.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.
CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.
CoRR, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society.
CoRR, 2023

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.
CoRR, 2022

UnrealNAS: Can We Search Neural Architectures with Unreal Data?
CoRR, 2022

Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels.
CoRR, 2022

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Robust Optimization as Data Augmentation for Large-scale Graphs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks.
Proceedings of the International Conference on 3D Vision, 2022

2021
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Graph Neural Networks with 1000 Layers.
Proceedings of the 38th International Conference on Machine Learning, 2021

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
FLAG: Adversarial Data Augmentation for Graph Neural Networks.
CoRR, 2020

DeeperGCN: All You Need to Train Deeper GCNs.
CoRR, 2020

SGAS: Sequential Greedy Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Can GCNs Go as Deep as CNNs?
CoRR, 2019

OIL: Observational Imitation Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

DeepGCNs: Can GCNs Go As Deep As CNNs?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Teaching UAVs to Race With Observational Imitation Learning.
CoRR, 2018


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