Hao Liu

Orcid: 0000-0002-8121-2333

Affiliations:
  • Washington University in St. Louis (WashU), St. Louis, MO, USA


According to our database1, Hao Liu authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models.
CoRR, 2024

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.
Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Dual Attention Fusion Network for RGB-D Surface Defect Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Corner Detection: Passive Non-Lin-of-Sight Pedestrian Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

One For All: Towards Training One Graph Model For All Classification Tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation.
CoRR, 2023

Decision Fusion Network with Perception Fine-tuning for Defect Classification.
CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.
CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.
CoRR, 2023

DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Transferring priors from virtual data for crowd counting in real world.
Frontiers Comput. Sci., 2022


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