Xiang Li

32 papers C 1Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge distillation and teacher-student learning in medical imaging: Comprehensive overview, pivotal role, and future directions.
Medical Image Anal.
Xiang Li, Like Li, Minglei Li, Pengfei Yan, Ting Feng, Hao Luo, Yong Zhao, Shen Yin
2026 J jnl
PHH-FL: Perceptual Hashing Hypernetwork Personalized Federated Learning for Heterogeneous Medical Image Analysis Tasks.
IEEE Internet Things J.
Yu Sun, Xiang Li, Like Li, Ting Feng, Yong Zhao, Shen Yin
2025 C conf
A Coarse-Fine Meta-learning Framework for Industrial Quality Prediction Under Multiple Operating Conditions.
INDIN
Kesheng Zhang, Xiang Li, Ting Feng, Jinliang Ding, Shen Yin
2025 J jnl
Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction.
IEEE Trans. Ind. Informatics
Kesheng Zhang, Like Li, Xiang Li, Jinliang Ding, Shen Yin
2025 J jnl
DPKI-Net: Dual Prior Knowledge Injection Network for Multitask 3-D Medical Image Segmentation and Landmark Localization.
IEEE Trans. Instrum. Meas.
Xiang Li, Like Li, Kesheng Zhang
2025 J jnl
Joint Lesion Detection and Classification of Breast Ultrasound Video via a Clinical Knowledge-Aware Framework.
IEEE Trans. Circuits Syst. Video Technol.
Minglei Li, Wushuang Gong, Pengfei Yan, Xiang Li, Yuchen Jiang, Hao Luo, Hang Zhou, Shen Yin
2025 J jnl
Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data.
IEEE Trans. Ind. Informatics
Xiang Li, Like Li, Kesheng Zhang, Xiaoming Chen, Ting Feng, Yong Zhao, Shen Yin
2025 J jnl
Vision-Language Models in medical image analysis: From simple fusion to general large models.
Inf. Fusion
Xiang Li, Like Li, Yuchen Jiang, Hao Wang, Xinyu Qiao, Ting Feng, Hao Luo, Yong Zhao
2024 J jnl
A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM.
IEEE Trans. Ind. Informatics
Jiusi Zhang, Cong-Sheng Huang, Mo-Yuen Chow, Xiang Li, Jilun Tian, Hao Luo, Shen Yin
2024 J jnl
FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection.
Expert Syst. Appl.
Xiang Li, Songcen Lv, Jiusi Zhang, Minglei Li, Juan J. Rodríguez-Andina, Yong Qin, Shen Yin, Hao Luo
2024 J jnl
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound.
Inf. Fusion
Pengfei Yan, Wushuang Gong, Minglei Li, Jiusi Zhang, Xiang Li, Yuchen Jiang, Hao Luo, Hang Zhou
2023 J jnl
A dual-path instance segmentation network based on nuclei contour in histology image.
Discov. Artif. Intell.
Jiangqi Li, Xiang Li, Minglei Li, Pengfei Yan
2023 J jnl
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition.
Reliab. Eng. Syst. Saf.
Jiusi Zhang, Xiang Li, Jilun Tian, Yuchen Jiang, Hao Luo, Shen Yin
2023 J jnl
An integrated multi-head dual sparse self-attention network for remaining useful life prediction.
Reliab. Eng. Syst. Saf.
Jiusi Zhang, Xiang Li, Jilun Tian, Hao Luo, Shen Yin
2023 J jnl
Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules.
BMC Medical Imaging
Chen Liang, Xiang Li, Yong Qin, Minglei Li, Yingkai Ma, Ren Wang, Xiangning Xu, Jinping Yu, Songcen Lv, Hao Luo
2023 J jnl
PKDN: Prior Knowledge Distillation Network for bronchoscopy diagnosis.
Comput. Biol. Medicine
Pengfei Yan, Weiling Sun, Xiang Li, Minglei Li, Yuchen Jiang, Hao Luo
2023 J jnl
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images.
Artif. Intell. Medicine
Minglei Li, Hang Zhou, Xiang Li, Pengfei Yan, Yuchen Jiang, Hao Luo, Xianli Zhou, Shen Yin
2023 J jnl
SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization.
IEEE Trans. Medical Imaging
Xiang Li, Songcen Lv, Minglei Li, Jiusi Zhang, Yuchen Jiang, Yong Qin, Hao Luo, Shen Yin
2022 J jnl
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty.
Reliab. Eng. Syst. Saf.
Jiusi Zhang, Yuchen Jiang, Xiang Li, Mingyi Huo, Hao Luo, Shen Yin
2022 J jnl
Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images.
Knowl. Based Syst.
Minglei Li, Xiang Li, Yuchen Jiang, Jiusi Zhang, Hao Luo, Shen Yin
2022 J jnl
Lesion-attention pyramid network for diabetic retinopathy grading.
Artif. Intell. Medicine
Xiang Li, Yuchen Jiang, Jiusi Zhang, Minglei Li, Hao Luo, Shen Yin
2022 J jnl
Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach.
IEEE Trans. Artif. Intell.
Xiang Li, Yuchen Jiang, Chenglin Liu, Shaochong Liu, Hao Luo, Shen Yin
2022 J jnl
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism.
Reliab. Eng. Syst. Saf.
Jiusi Zhang, Yuchen Jiang, Shimeng Wu, Xiang Li, Hao Luo, Shen Yin
2022 J jnl
Quo vadis artificial intelligence?
Discov. Artif. Intell.
Yuchen Jiang, Xiang Li, Hao Luo, Shen Yin, Okyay Kaynak
2022 J jnl
RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images.
IEEE Trans. Instrum. Meas.
Xiang Li, Yuchen Jiang, Yiliu Liu, Jiusi Zhang, Shen Yin, Hao Luo
2021 J jnl
Integrated Learning Approach Based on Fused Segmentation Information for Skeletal Fluorosis Diagnosis and Severity Grading.
IEEE Trans. Ind. Informatics
Shaochong Liu, Xiang Li, Yuchen Jiang, Hao Luo, Yanhui Gao, Shen Yin
2021 J jnl
Lightweight Attention Convolutional Neural Network for Retinal Vessel Image Segmentation.
IEEE Trans. Ind. Informatics
Xiang Li, Yuchen Jiang, Minglei Li, Shen Yin
2021 — conf
Model-based Analysis for target drug delivery on Internet of Bio-Health Thing in term of cardiovascular disease.
CAA SAFEPROCESS
Ar Junejo, Xiang Li, Minglei Li, Nauman Ullah Gilal
2021 J jnl
When medical images meet generative adversarial network: recent development and research opportunities.
Discov. Artif. Intell.
Xiang Li, Yuchen Jiang, Juan J. Rodríguez-Andina, Hao Luo, Shen Yin, Okyay Kaynak
2020 — conf
A Cross-block Connection Network for Retinal Vessel Segmentation.
ISIE
Shaochong Liu, Shen Yin, Hao Luo, Minglei Li, Xiang Li
2019 — conf
A Novel Redundant Information Elimination Aided Classification Approach for Cervical Cancer Diagnosis.
CAA SAFEPROCESS
Hu Peng, Yuchen Jiang, Xiang Li, Hao Luo, Shen Yin
2019 — conf
An aerial image segmentation approach based on enhanced multi-scale convolutional neural network.
ICPS
Xiang Li, Yuchen Jiang, Hu Peng, Shen Yin
pyproject.toml
← Index pyproject.toml ini 
[tool.black]
line-length = 120
target-version = ['py38']
include = '\.pyi?$'
extend-exclude = '''
/(
  # directories
  \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.tox
  | \.venv
  | build
  | dist
  | venv
)/
'''

[tool.isort]
profile = "black"
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true

[tool.flake8]
max-line-length = 120
ignore = ["E501", "W503", "E203", "F401"]
exclude = [
    "__pycache__",
    ".git",
    "venv",
    "build",
    "dist",
    "*.egg-info",
]

[tool.pylint.messages_control]
disable = [
    "C0114",  # missing-module-docstring
    "C0115",  # missing-class-docstring
    "C0116",  # missing-function-docstring
    "C0103",  # invalid-name
    "R0903",  # too-few-public-methods
    "R0913",  # too-many-arguments
    "R0914",  # too-many-locals
    "R0915",  # too-many-statements
]

[tool.pylint.format]
max-line-length = 120

# ============================================================================
# Pytest Configuration
# ============================================================================
[tool.pytest.ini_options]
testpaths = ["tests/unit", "tests/integration"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

# Default options: verbose, show locals on failure, strict markers
addopts = [
    "-v",
    "--strict-markers",
    "--tb=short",
]

# Custom markers for selective test execution
markers = [
    "unit: Pure unit tests - no external deps, no disk I/O, fast (< 1s each)",
    "integration: Integration tests - use real test binaries on disk",
    "slow: Tests that take > 5s (e.g. entropy on large files, full extraction pipelines)",
    "pe: Tests specific to PE binary analysis",
    "elf: Tests specific to ELF binary analysis",
    "macho: Tests specific to Mach-O binary analysis",
    "apk: Tests specific to APK binary analysis",
    "exporters: Tests for database exporters (ClickHouse, Elasticsearch, Print)",
    "dataclass: Tests for dataclass construction and field validation",
    "binja: Tests for Binary Ninja decompiler extractors (mocked, no license needed)",
]