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

Deterministic approximation for the volume of the truncated fractional matching polytope.
CoRR, 2024

Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures.
CoRR, 2024

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 2024

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Near-Linear Time Samplers for Matroid Independent Sets with Applications.
Proceedings of the Approximation, 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

Effective Quantization for Diffusion Models on CPUs.
CoRR, 2023

Two generalizations of ideal matrices and their applications.
CoRR, 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

Deep Translation Model-Based Electric Vehicle Load Disaggregation Method.
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

ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving.
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

Object-Augmented Skeleton-Based Action Recognition.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Evaluation of string comparators for record linkage in Chinese environment.
Int. J. Wavelets Multiresolution Inf. Process., 2022

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding.
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

Semi-supervised Detection, Identification and Segmentation for Abdominal Organs.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

A Wideband MNG- TL Planar Microstrip Antenna for WLAN Applications.
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

A Log-Gabor Feature-Based Quality Assessment Model for Screen Content Images.
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
Low memory usage architecture for 3D graphics based on scan-line rendering.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015


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