Haixian Zhang
Orcid: 0000-0002-9821-508X
According to our database1,
Haixian Zhang
authored at least 36 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Int. J. Neural Syst., September, 2024
Artif. Intell. Rev., August, 2024
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate Tuning.
IEEE Trans. Medical Imaging, March, 2024
An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images.
IEEE Trans. Artif. Intell., March, 2024
IEEE Trans. Image Process., 2024
An Intelligent System of Predicting Lymph Node Metastasis in Colorectal Cancer Using 3D CT Scans.
Int. J. Intell. Syst., 2024
Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy.
Int. J. Intell. Syst., 2024
MMUDA: A Mutual Multi-Task Learning Network with Unsupervised Domain Adaptation for Glaucoma Screening.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Semi-supervised Choroidal Segmentation with Attention-based Refinement Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation.
Int. J. Neural Syst., December, 2023
Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information.
IEEE Trans. Syst. Man Cybern. Syst., 2023
A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images.
Proceedings of the International Joint Conference on Neural Networks, 2023
Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Cogn. Dev. Syst., 2022
TransUNet+: Redesigning the skip connection to enhance features in medical image segmentation.
Knowl. Based Syst., 2022
SETFF: A Semantic Enhanced Table Filling Framework for Joint Entity and Relation Extraction.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
2021
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
Multi-context 3D Resnet for Small-size False Positive Reduction in Pelvic Lymph Node Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
A prior-based method for colorectal lymph node region classification via deep neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
DeepEC: An error correction framework for dose prediction and organ segmentation using deep neural networks.
Int. J. Intell. Syst., 2020
2019
Neural Comput. Appl., 2019
2018
Neurocomputing, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
2016
2014
2013
Locality Features Encoding in Regularized Linear Representation Learning for Face Recognition.
Proceedings of the 11th International Conference on Frontiers of Information Technology, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
2009
Proceedings of the Artificial Neural Networks, 2009
2008
Comput. Math. Appl., 2008