Jun Huang

24 papers B 1C 2Misc 1Journal 9Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
BCMDA: Bidirectional Correlation Maps Domain Adaptation for Mixed Domain Semi-Supervised Medical Image Segmentation.
CoRR
Bentao Song, Jun Huang, Qingfeng Wang
2026 J jnl
BCMDA: Bidirectional correlation maps domain adaptation for mixed domain semi-supervised medical image segmentation.
Neural Networks
Bentao Song, Jun Huang, Qingfeng Wang
2025 B conf
A Novel Medical Image Reconstruction Framework for 3D Chest CT Based on a Single 2D Anteroposterior X-ray Image.
SMC
Tao Tang, Wenjie Cai, Bin Yang, Jun Huang, Ying Zhou, Zhiqin Liu, Qingfeng Wang
2025 J jnl
Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model.
IEEE Access
Jianhui Li, Jun Huang, Yahui Sun, Guoqiang Li
2025 — conf
DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System.
Euro-Par (2)
Yi Luo, Yaobin Wang, Qi Wang, Yingchen Song, Huan Wu, Qingfeng Wang, Jun Huang
2025 Misc conf
Exploring the Distribution of Cell Subpopulations in Pancreatic Ductal Adenocarcinoma Slides by Joint Spatial Transcriptomics and Pathology Data.
ICASSP
Yaqi Deng, Wenjie Cai, Bentao Song, Bin Yang, Lingming Kong, Qingfeng Wang, Jun Huang
2025 J jnl
Multi-fidelity modeling method based on adaptive transfer learning.
Inf. Fusion
Fazhi Tang, Yubo Li, Jun Huang, Feng Liu
2025 — conf
Reconstructing Chest CT from Orthogonal Biplanar X-rays via Feature Enhancement Blocks and Perceptual Consistency Loss.
ICONIP (3)
Tao Tang, Wenjie Cai, Bin Yang, Jun Huang, Ying Zhou, Zhiqin Liu, Qingfeng Wang, Guangwei Li
2024 J jnl
A combined modeling method for complex multi-fidelity data fusion.
Mach. Learn. Sci. Technol.
Lei Tang, Feng Liu, Anping Wu, Yubo Li, Wanqiu Jiang, Qingfeng Wang, Jun Huang
2023 J jnl
Constraints Maintaining Mesh Refinement Method for Solving Whole Trajectory of Discontinuous Aerodynamics.
IEEE Access
Jun Huang, Qingfeng Wang, Wenyou Qiao, Zhiqin Liu, Yaobin Wang
2022 — conf
Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT.
ICONIP (6)
Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou
2022 — conf
Local-Whole-Focus: Identifying Breast Masses and Calcified Clusters on Full-Size Mammograms.
BIBM
Jun Huang, He Xiao, Qingfeng Wang, Zhiqin Liu, Bo Chen, Yaobin Wang, Ping Zhang, Ying Zhou
2022 C conf
Rgs-SpMM: Accelerate Sparse Matrix-Matrix Multiplication by Row Group Splitting Strategy on the GPU.
NPC
Mingfeng Guo, Yaobin Wang, Jun Huang, Qingfeng Wang, Yaqing Zhang, Mu Xu, Fang Lu
2022 C conf
SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT.
ISCAS
Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou
2020 J jnl
Automated segmentation and diagnosis of pneumothorax on chest X-rays with fully convolutional multi-scale ScSE-DenseNet: a retrospective study.
BMC Medical Informatics Decis. Mak.
Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu, Jie-Zhi Cheng
2020 — conf
CSABlock-based Cascade RCNN for Breast Mass Detection in Mammogram.
BIBM
He Xiao, Qingfeng Wang, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu
2020 — conf
Hierarchical Attention-Based Multiple Instance Learning Network for Patient-Level Lung Cancer Diagnosis.
BIBM
Qingfeng Wang, Ying Zhou, Jun Huang, Zhiqin Liu, Ling Li, Weiyun Xu, Jie-Zhi Cheng
2019 J jnl
A pk-Adaptive Mesh Refinement for Pseudospectral Method to Solve Optimal Control Problem.
IEEE Access
Jun Huang, Zhigui Liu, Zhiqin Liu, Qingfeng Wang, Jie Fu
2019 — conf
Fully Convolutional Multi-Scale ScSE-DenseNet for Automatic Pneumothorax Segmentation in Chest Radiographs.
BIBM
Guoting Luo, Zhiqin Liu, Qingfeng Wang, Qiyu Liu, Ying Zhou, Weiyun Xu, Jun Huang, Jie Fu, Jie-Zhi Cheng
2019 — conf
Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images.
BIBM
Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, Chao Wang
2019 J jnl
WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images.
IEEE Access
Qingfeng Wang, Xuehai Zhou, Chao Wang, Zhiqin Liu, Jun Huang, Ying Zhou, Changlong Li, Hang Zhuang, Jie-Zhi Cheng
2018 — conf
Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis.
ICONIP (7)
Qingfeng Wang, Jie-Zhi Cheng, Ying Zhou, Hang Zhuang, Changlong Li, Bo Chen, Zhiqin Liu, Jun Huang, Chao Wang, Xuehai Zhou
2018 — conf
Multi-order Transfer Learning for Pathologic Diagnosis of Pulmonary Nodule Malignancy.
BIBM
Qingfeng Wang, Jie-Zhi Cheng, Zhiqin Liu, Jun Huang, Qiyu Liu, Ying Zhou, Weiyun Xu, Chao Wang, Xuehai Zhou
2016 — conf
A Flexible Chip Multiprocessor Simulator Dedicated for Thread Level Speculation.
Trustcom/BigDataSE/ISPA
Yaobin Wang, Hong An, Zhiqin Liu, Ling Li, Jun Huang