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
Accurate Conformation Sampling via Protein Structural Diffusion.
J. Chem. Inf. Model., 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
Forecasting Unseen Points of Interest Visits Using Context and Proximity Priors.
Proceedings of the IEEE International Conference on Big Data, 2024
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
Large Scale Network Embedding: A Separable Approach.
IEEE Trans. Knowl. Data Eng., 2022
Equivalent Distance Geometry Error for Molecular Conformation Comparison.
CoRR, 2022
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
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
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