Heng Guo
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
The Effect of Color Combinations on the Efficiency of Text Recognition in Digital Devices.
Int. J. Hum. Comput. Interact., March, 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR, 2024
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 2024
2023
Coupled Incomplete Cholesky and Jacobi Preconditioned Conjugate Gradient on the New Generation of Sunway Many-Core Architecture.
IEEE Trans. Computers, November, 2023
Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system.
Frontiers Inf. Technol. Electron. Eng., January, 2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.
CoRR, 2023
Towards Workload Trend Time Series Probabilistic Prediction via Probabilistic Deep Learning.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023
A Fault Location Algorithm for Distribution Network Based on Transient Feature Extraction.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 32nd IEEE Asian Test Symposium, 2023
SAB: Stacking Action Blocks for Efficiently Generating Diverse Multimodal Critical Driving Scenario.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
Int. J. Wavelets Multiresolution Inf. Process., 2022
CoRR, 2022
A Reinforcement Learning Framework with Description Language for Critical Driving Scenario Generation.
CoRR, 2022
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.
CoRR, 2022
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
2020
Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting.
Complex., 2020
Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Optimizing Filter-bank Canonical Correlation Analysis for fast response SSVEP Brain-Computer Interface (BCI).
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks.
CoRR, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
AALB: Adaptive Algorithm of Load Balance for CAM Physics on Sunway TaihuLight Supercomputer.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018
2015
Proceedings of the IEEE International Conference on Consumer Electronics, 2015