Zhilin Huang
Orcid: 0000-0003-3417-743X
According to our database1,
Zhilin Huang
authored at least 20 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., November, 2024
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.
IEEE Trans. Knowl. Data Eng., February, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Multiple Objective Fairness Scheduling Optimization Algorithms Based on Multiple DAGs in Heterogeneous Edge Computing.
J. Circuits Syst. Comput., May, 2023
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
Effects of Imitation Training Methods on Chinese EFL Learners' Production of English Intonation.
Proceedings of the International Conference on Asian Language Processing, 2022
2021
Gated Character-aware Convolutional Neural Network for Effective Automated Essay Scoring.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks.
Artif. Intell. Medicine, 2020
Integrating Co-Clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease.
IEEE Access, 2020