Junjie He
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
CoRR, May, 2025
J. Sci. Comput., March, 2025
AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation.
CoRR, January, 2025
IM Planner: Efficient Path Planner Based on Incremental Patch Map in Unknown Environment.
IEEE Trans. Instrum. Meas., 2025
IEEE Trans. Instrum. Meas., 2025
RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images.
Comput. Methods Programs Biomed., 2025
BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation.
Comput. Methods Programs Biomed., 2025
GAMMIL: A graph attention-guided multi-scale fusion multiple instance learning model for the WHO grading of meningioma in whole slide images.
Biomed. Signal Process. Control., 2025
Biomed. Signal Process. Control., 2025
ACE-QSM: Accelerating quantitative susceptibility mapping acquisition using diffusion models by reducing repetition time.
Biomed. Signal Process. Control., 2025
From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025
FedCIPP: A Novel Full-Lifecycle Intellectual Property Protection Framework for Federated Learning.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-Time 3D Radiance Field Map Rendering.
IEEE Robotics Autom. Lett., November, 2024
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation.
Comput. Biol. Medicine, March, 2024
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images.
Comput. Biol. Medicine, February, 2024
Machine Vision-Based Lightweight Multiscale Automatic Defect Segmentation Network for MLCC.
IEEE Trans. Instrum. Meas., 2024
Signal Image Video Process., 2024
UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization.
CoRR, 2024
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering.
CoRR, 2024
3D convolutional network with edge detection for prostate gland and tumor segmentation on T2WI and ADC.
Biomed. Signal Process. Control., 2024
DSML-UNet: Depthwise separable convolution network with multiscale large kernel for medical image segmentation.
Biomed. Signal Process. Control., 2024
IEEE Access, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Mars Planner: Improved Batch Spatio-Temporal Path Planning for Multi-Ackerman Robotic Systems.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
A Comparative Study of Short Text Classification Methods based on Word Vector Fusion.
Proceedings of the 8th International Conference on Computing and Data Analysis, 2024
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2024
2023
TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma.
Comput. Methods Programs Biomed., December, 2023
Multim. Tools Appl., May, 2023
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.
NeuroImage, 2023
Reinforcement Learning based Downlink OFDMA Scheduling for Time-Sensitive WiFi Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images.
Comput. Methods Programs Biomed., 2022
EBA: An Adaptive Large Neighborhood Search-Based Approach for Edge Bandwidth Allocation.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022
2021
Deep Nonlinear Ensemble Framework for Stock Index Forecasting and Uncertainty Analysis.
Cogn. Comput., 2021
Stock index prediction and uncertainty analysis using multi-scale nonlinear ensemble paradigm of optimal feature extraction, two-stage deep learning and Gaussian process regression.
Appl. Soft Comput., 2021
Intelligent Traffic Signal Control with Deep Reinforcement Learning at Single Intersection.
Proceedings of the ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence, Tianjin China, April 23, 2021
2020
An Improved Genetic Algorithm with Local Search for Dynamic Job Shop Scheduling Problem.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020
Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Proceedings of the HCI International 2019 - Late Breaking Papers, 2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
2017
Multim. Tools Appl., 2017
2015
Proceedings of the Digital-Forensics and Watermarking - 14th International Workshop, 2015
2014
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014