Hao Liu

According to our database, Hao Liu authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hyperspectral passive non-line-of-sight imaging with band selection.

Mingyang Chen, Shaohui Jin, Mengge Liu, Ziqin Xu, Hao Liu, Mingliang Xu

Expert Syst. Appl., 2025

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.

Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Jiarui Feng, Hao Liu, Lecheng Kong, Yixin Chen, Muhan Zhang

CoRR, 2024

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks.

Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Dual Attention Fusion Network for RGB-D Surface Defect Detection.

Xiaoheng Jiang, Jingqi Liu, Feng Yan, Yang Lu, Shaohui Jin, Hao Liu, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Corner Detection: Passive Non-Lin-of-Sight Pedestrian Detection.

Mingyang Chen, Shaohui Jin, Zhicheng Liu, Xiaoheng Jiang, Jiyue Wang, Hao Liu, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

TaDFusion: Infrared and Visible Image Fusion Network Based on The Target Detection Task-driven Method.

Shaohui Jin, Qixu Liu, Hao Liu, Mingliang Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

One For All: Towards Training One Graph Model For All Classification Tasks.

Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Non-Line-of-Sight Long-Wave Infrared Imaging based on Nestformer.

Shaohui Jin, Yayong Zhao, Hao Liu, Jiaqi Wu, Zhenjie Yu, Mingliang Xu

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

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

Xiaoheng Jiang, Kaiyi Guo, Yang Lu, Feng Yan, Hao Liu, Jiale Cao, Mingliang Xu, Dacheng Tao

CoRR, 2023

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

Xiaoheng Jiang, Shilong Tian, Zhiwen Zhu, Yang Lu, Hao Liu, Li Chen, Shupan Li, Mingliang Xu

CoRR, 2023

Towards Arbitrarily Expressive GNNs in O(n²) Space by Rethinking Folklore Weisfeiler-Lehman.

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

CoRR, 2023

Time Associated Meta Learning for Clinical Prediction.

Hao Liu, Muhan Zhang, Zehao Dong, Lecheng Kong, Yixin Chen, Bradley A. Fritz, Dacheng Tao, Christopher Ryan King

CoRR, 2023

DFAR-Net: Dual-Input Three-Branch Attention Fusion Reconstruction Network for Polarized Non-Line-of-Sight Imaging.

Hao Liu, Pengfei Wang, Xin He, Ke Wang, Shaohu Jin, Pengyun Chen, Xiaoheng Jiang, Mingliang Xu

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network.

Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

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.

Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

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.

Xiaoheng Jiang, Hao Liu, Li Zhang, Geyang Li, Mingliang Xu, Pei Lv, Bing Zhou

Frontiers Comput. Sci., 2022