Weimin Zhou

49 papers B 1Journal 27Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Microelectron. J.
Zhe Li, Jun Chang, Weimin Zhou, Li Dang, Hongzhi Liang, Shubin Liu
2025 J jnl
Microelectron. J.
Weimin Zhou, Zhe Li, Hongzhi Liang, Li Dang, Ruixue Ding, Shubin Liu, Zhangming Zhu
2025 conf
CICC
Hongzhi Liang, Jun Chang, Yixiao Luo, Zeyu Peng, Weimin Zhou, Li Dang, Yue Cao, Haolin Han, Yi Shen, Shubin Liu, Ruixue Ding, Zhangming Zhu
2025 J jnl
CoRR
Xichen Xu, Wentao Chen, Weimin Zhou
2025 conf
ICIC (28)
Weimin Zhou, Yi Gu
2025 J jnl
CoRR
Wentao Chen, Tianming Xu, Weimin Zhou
2025 J jnl
CoRR
Weimin Zhou
2024 J jnl
CoRR
Wentao Chen, Xichen Xu, Jie Luo, Weimin Zhou
2024 J jnl
CoRR
Xichen Xu, Wentao Chen, Weimin Zhou
2024 conf
CCEAI
Ruotong Li, Weimin Zhou
2024 J jnl
CoRR
Wentao Chen, Jiwei Li, Xichen Xu, Hui Huang, Siyu Yuan, Miao Zhang, Tianming Xu, Jie Luo, Weimin Zhou
2023 conf
Image Perception, Observer Performance, and Technology Assessment
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2023 J jnl
IEEE Trans. Medical Imaging
Weimin Zhou, Umberto Villa, Mark A. Anastasio
2023 J jnl
CoRR
Weimin Zhou, Umberto Villa, Mark A. Anastasio
2023 J jnl
J. Inf. Process. Syst.
Weimin Zhou
2023 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Miguel P. Eckstein
2023 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou
2022 J jnl
IEEE Trans. Medical Imaging
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2022 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Miguel P. Eckstein
2022 J jnl
CoRR
Weimin Zhou, Miguel P. Eckstein
2022 conf
Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov
2021 conf
Image Perception, Observer Performance, and Technology Assessment
John Paul Phillips, Emil Y. Sidky, Greg Ongie, Weimin Zhou, Juan-Pablo Cruz-Bastida, Ingrid S. Reiser, Mark A. Anastasio, Xiaochuan Pan
2021 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021 J jnl
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021 J jnl
IEEE Trans. Medical Imaging
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2021 J jnl
Entropy
Yun Liu, Hao Liu, Zhen-Guo Fu, Weimin Zhou
2021 J jnl
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2021 B conf
Image Processing
Jason L. Granstedt, Varun A. Kelkar, Weimin Zhou, Mark A. Anastasio
2021 conf
Image Perception, Observer Performance, and Technology Assessment
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2021 conf
Image Perception, Observer Performance, and Technology Assessment
Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2020 J jnl
CoRR
Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio
2020 J jnl
IEEE Trans. Medical Imaging
Weimin Zhou, Hua Li, Mark A. Anastasio
2020 J jnl
CoRR
Weimin Zhou, Hua Li, Mark A. Anastasio
2020 J jnl
CoRR
Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio
2020 conf
Image Perception, Observer Performance, and Technology Assessment
Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio
2020 conf
Image Perception, Observer Performance, and Technology Assessment
Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio
2020 J jnl
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020 J jnl
CoRR
Weimin Zhou, Mark A. Anastasio
2020 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Mark A. Anastasio
2020 J jnl
CoRR
Sayantan Bhadra, Weimin Zhou, Mark A. Anastasio
2020 J jnl
CoRR
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2019 J jnl
IEEE Trans. Medical Imaging
Weimin Zhou, Hua Li, Mark A. Anastasio
2019 J jnl
CoRR
Weimin Zhou, Hua Li, Mark A. Anastasio
2019 conf
Image Perception, Observer Performance, and Technology Assessment
Jason L. Granstedt, Weimin Zhou, Mark A. Anastasio
2019 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Mark A. Anastasio
2019 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Hua Li, Mark A. Anastasio
2019 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Mark A. Anastasio
2018 conf
Image Perception, Observer Performance, and Technology Assessment
Weimin Zhou, Mark A. Anastasio
redb/s3_utils.py
← Index redb/s3_utils.py python
"""
S3 and file utility functions for REDB.

Contains MinIO/S3 client creation, S3 key generation,
file download, and archive extraction helpers.
"""
import os
import tempfile
from typing import Optional, List

from minio import Minio
from minio.error import S3Error


def get_minio_client():
    """Create and return a Minio client using credentials from .env file"""
    return Minio(
        endpoint=os.getenv("S3_ENDPOINT"),
        access_key=os.getenv("S3_ACCESS_KEY"),
        secret_key=os.getenv("S3_SECRET_KEY"),
        secure=os.getenv("S3_SECURE", "false").lower() == "true"
    )


def generate_s3_key_from_hash(sample_hash: str) -> str:
    """
    Generate S3 key from hash using sharding structure.
    Example: 09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c
    becomes: 09/f7/09f7d02a3c2382199458c98a62b045145ee54ab6aba86166aecf3d10c3c1444c.zip
    """
    if len(sample_hash) < 4:
        raise ValueError(f"Hash too short for sharding: {sample_hash}")

    # Create sharded path: first 2 chars / next 2 chars / full_hash.zip
    return f"{sample_hash[:2]}/{sample_hash[2:4]}/{sample_hash}.zip"


def download_s3_object(s3_bucket: str, s3_key: str, temp_dir: str, logger=None) -> Optional[str]:
    """
    Download an object from S3 to a local temporary directory and return the local path.
    If the .zip file is not found, automatically tries .7z as a fallback for legacy uploads.
    """
    try:
        minio_client = get_minio_client()
        local_path = os.path.join(temp_dir, os.path.basename(s3_key))

        # Download the file
        minio_client.fget_object(s3_bucket, s3_key, local_path)

        return local_path
    except S3Error as e:
        # If .zip not found and error is NoSuchKey, try .7z fallback
        if e.code == 'NoSuchKey' and s3_key.endswith('.zip'):
            s3_key_7z = s3_key[:-4] + '.7z'  # Replace .zip with .7z
            if logger:
                logger.info(f".zip not found, trying .7z fallback: {s3_key_7z}")
            try:
                local_path_7z = os.path.join(temp_dir, os.path.basename(s3_key_7z))
                minio_client.fget_object(s3_bucket, s3_key_7z, local_path_7z)
                if logger:
                    logger.info(f"Successfully downloaded .7z fallback: {s3_key_7z}")
                return local_path_7z
            except S3Error as e2:
                if logger:
                    logger.error(f"Failed to download S3 object {s3_key} (tried both .zip and .7z): {e2}")
                else:
                    print(f"[ERROR] Failed to download S3 object {s3_key} (tried both .zip and .7z): {e2}")
                return None
        else:
            if logger:
                logger.error(f"Failed to download S3 object {s3_key}: {e}")
            else:
                print(f"[ERROR] Failed to download S3 object {s3_key}: {e}")
            return None


def extract_fat_slices(macho, output_dir: str, logger) -> List[tuple]:
    """
    Extract slices from FAT Mach-O binary using machofile's dump_slices() API.

    Args:
        macho: Parsed machofile.UniversalMachO object
        output_dir: Directory to write slice files
        logger: Logger instance

    Returns:
        List of (arch_name, slice_path, slice_sha256, slice_md5, slice_sha1) tuples
    """
    result = []
    try:
        # Use machofile's dump_slices API (v2026.2.5+)
        slices = macho.dump_slices(output_dir=output_dir)
        logger.debug(f"Extracted {len(slices)} slices from FAT binary")

        for arch_name, slice_path in slices:
            # Get hash info for this slice from machofile
            general_info = macho.get_general_info(arch=arch_name)
            slice_sha256 = general_info.get('SHA256')
            slice_md5 = general_info.get('MD5')
            slice_sha1 = general_info.get('SHA1')
            result.append((arch_name, slice_path, slice_sha256, slice_md5, slice_sha1))
            logger.debug(f"Slice {arch_name}: {slice_sha256}")

    except Exception as e:
        logger.error(f"Error extracting FAT slices: {e}")

    return result