Ziyao Li

Orcid: 0000-0002-9071-2516

According to our database1, Ziyao Li authored at least 25 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Semi-Supervised Few-Shot Classification With Multitask Learning and Iterative Label Correction.
IEEE Trans. Geosci. Remote. Sens., 2024

Hierarchical GNN Framework for Earth's Surface Anomaly Detection in Single Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

Kolmogorov-Arnold Networks are Radial Basis Function Networks.
CoRR, 2024

CDTCL: Cross-Domain Remote Sensing Image Translation for Semantic Segmentation Leveraging Contrastive Learning.
Proceedings of the IGARSS 2024, 2024

2023
Learning discrete adaptive receptive fields for graph convolutional networks.
Sci. China Inf. Sci., December, 2023

Synergizing Low Rank Representation and Deep Learning for Automatic Pavement Crack Detection.
IEEE Trans. Intell. Transp. Syst., October, 2023

Image Deblurring With Image Blurring.
IEEE Trans. Image Process., 2023

A General Target Tracking and Sample Generation Framework for Satellite Videos Leveraging on Geometry-Aware Low-Rank Representation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Large Scale Network Embedding: A Separable Approach.
IEEE Trans. Knowl. Data Eng., 2022

Equivalent Distance Geometry Error for Molecular Conformation Comparison.
CoRR, 2022

2021
Semantic Segmentation Leveraging Simultaneous Depth Estimation.
Sensors, 2021

Stepping Back to SMILES Transformers for Fast Molecular Representation Inference.
CoRR, 2021

HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.
CoRR, 2021

Deep Molecular Representation Learning via Fusing Physical and Chemical Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inverse Domain Adaptation for Remote Sensing Images Using Wasserstein Distance.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Conformation-Guided Molecular Representation with Hamiltonian Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.
Medical Biol. Eng. Comput., 2020

Learning Node Representations from Noisy Graph Structures.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019

Remote Sensing Semantic Segregation for Water Information Extraction: Optimization of Samples via Training Error Performance.
IEEE Access, 2019

Multiscale Features Supported DeepLabV3+ Optimization Scheme for Accurate Water Semantic Segmentation.
IEEE Access, 2019

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Study on the Effect of Flexible Human Resource Practice on Group Citizenship Behavior.
Proceedings of the Recent Advances in Data Science, 2019

SepNE: Bringing Separability to Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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