Xiaohu Huang

31 papers A* 4Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Pattern Recognit.
Duowang Zhu, Xiaohu Huang, Haiyan Huang, Qimin Cheng, Zheng Huang, Zhenfeng Shao
2025 A* conf
CVPR
Duowang Zhu, Xiaohu Huang, Haiyan Huang, Hao Zhou, Zhenfeng Shao
2025 J jnl
CoRR
Duowang Zhu, Xiaohu Huang, Haiyan Huang, Hao Zhou, Zhenfeng Shao
2025 J jnl
CoRR
Xiaohu Huang, Hao Zhou, Qiangpeng Yang, Shilei Wen, Kai Han
2025 J jnl
CoRR
Xiaohu Huang, Jingjing Wu, Qunyi Xie, Kai Han
2025 conf
ACL (Findings)
Xiaohu Huang, Hao Zhou, Kai Han
2025 J jnl
J. Supercomput.
Zixuan Wang, Dezhi Han, Bing Han, Zhongdai Wu, Xiaohu Huang
2025 J jnl
Int. J. Comput. Vis.
Zhengqi Zhao, Xiaohu Huang, Hao Zhou, Kun Yao, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
2024 J jnl
CoRR
Duowang Zhu, Xiaohu Huang, Haiyan Huang, Zhenfeng Shao, Qimin Cheng
2024 J jnl
CoRR
Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han
2024 A* conf
ICLR
Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han
2024 J jnl
IET Comput. Vis.
Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han
2024 J jnl
IET Commun.
Minghui Jia, Xiaohu Huang, Fengjun Han, Dequan Yan, Wei Wang, Guochao Zhu, Lin Zhang, Chao Pan, Haifeng Ma, Jidong Wei
2024 J jnl
CoRR
Xiaohu Huang, Hao Zhou, Kai Han
2024 J jnl
CoRR
Zhengqi Zhao, Xiaohu Huang, Hao Zhou, Kun Yao, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
2023 J jnl
CoRR
Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin, Bo Yang, Botao He, Bin Feng, Wenyu Liu
2023 J jnl
IEEE Trans. Image Process.
Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin, Bo Yang, Botao He, Bin Feng, Wenyu Liu
2023 J jnl
CoRR
Haijun Xiong, Yunze Deng, Xiaohu Huang, Xinggang Wang, Wenyu Liu, Bin Feng
2023 A* conf
ICLR
Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
2023 J jnl
CoRR
Xiaohu Huang, Hao Zhou, Bin Feng, Xinggang Wang, Wenyu Liu, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang
2023 J jnl
IEEE Trans. Biom. Behav. Identity Sci.
Xiaohu Huang, Xinggang Wang, Botao He, Shan He, Wenyu Liu, Bin Feng
2022 J jnl
Telecommun. Syst.
Xiaohu Huang, Dezhi Han, Tien-Hsiung Weng, Zhongdai Wu, Bing Han, Junxiang Wang, Mingming Cui, Kuan-Ching Li
2022 J jnl
CoRR
Xiaohu Huang, Duowang Zhu, Xinggang Wang, Hao Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng
2021 A* conf
ICCV
Xiaohu Huang, Duowang Zhu, Hao Wang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng
2021 J jnl
Sensors
Xiaohu Huang, Dezhi Han, Mingming Cui, Guanghan Lin, Xinming Yin
2018 J jnl
Technometrics
Yongxiang Li, Qiang Zhou, Xiaohu Huang, Li Zeng
2017 J jnl
IEEE Trans Autom. Sci. Eng.
Xiaohu Huang, Qiang Zhou, Li Zeng, Xiaodong Li
2012 conf
COM.Geo
Bin Zhang, Xiaoling Xia, Xiaohu Huang, Mei Wang, Jiajin Le
2012 conf
AsiaSim (3)
Xiaohu Huang, Yuan Yao, Qingxi Hu
2011 conf
INTRUST
Wei Li, Dawu Gu, Zhiqiang Liu, Ya Liu, Xiaohu Huang
1997 J jnl
Parallel Comput.
Wei Li, Xiaohu Huang, Nanning Zheng
redb/extractors/macho_extractors/macho_exports.py
← Index redb/extractors/macho_extractors/macho_exports.py python
import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.macho_extractor import MachOExtractor
from redb.models.dataclasses import MachOExport


class MachOExportExtractor(MachOExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            macho,
        )
        self.elastic_index = self.index_prefix + "-macho_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.MACHO_EXPORT.value

    def _extract_exports(self, arch_name=None):
        """Extract export information from the MachO binary for a specific architecture."""
        self.log.debug(inspect.currentframe().f_code.co_name)

        if not self.macho:
            return None

        try:
            # Get exported symbols using new API for specific architecture
            exported_symbols = self.macho.get_exported_symbols(arch=arch_name)

            # Extract all exported symbols (may be empty for some binaries)
            # Handle None or empty dict
            if not exported_symbols:
                exported_symbols = {}
            all_symbols = []
            for dylib_name, symbols in exported_symbols.items():
                # Process symbol names
                for symbol in symbols:
                    if isinstance(symbol, bytes):
                        symbol = symbol.decode('utf-8', errors='replace')
                    all_symbols.append(symbol)

            # Create export dataclass
            macho_export = MachOExport(
                macho_exports_total=len(all_symbols),
                macho_export_symbols=all_symbols  # Empty list is fine, but None is not allowed for Array type
            )

            return macho_export

        except Exception as e:
            self.log.error(f"Error extracting MachO exports for arch {arch_name}: {e}")
            return None

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            # Get architectures (macho is already parsed in base class)
            architectures = self.macho.get_architectures()
            if len(architectures) > 1:
                # FAT binary - return list of exports for each architecture
                results = []
                for arch_name in architectures:
                    exports = self._extract_exports(arch_name)
                    if exports:
                        exports.arch_identifier = arch_name
                        results.append(exports)
                return results
            else:
                # Single architecture - return single result
                return self._extract_exports(architectures[0] if architectures else None)
        except Exception as e:
            self.log.error(f"Error extracting MachO exports: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            if not self.macho:
                return None

            # Get architectures (macho is already parsed in base class)
            try:
                architectures = self.macho.get_architectures()
                is_fat = len(architectures) > 1
            except Exception as e:
                self.log.error(f"Could not get architectures: {e}")
                return None

            data = []
            current_time = datetime.now(timezone.utc)

            # Loop through each architecture (1 for single, multiple for FAT)
            for arch_name in architectures:
                # Get architecture-specific sha256
                try:
                    arch_general_info = self.macho.get_general_info(arch=arch_name)
                    arch_header_raw = self.macho.get_macho_header(arch=arch_name)
                    arch_sha256 = arch_general_info.get('SHA256', self.sha256)
                    arch_cputype_raw = arch_header_raw.get('cputype', 0) if arch_header_raw else 0
                except Exception as e:
                    self.log.warning(f"Could not get arch-specific data for {arch_name}: {e}")
                    arch_sha256 = self.sha256
                    arch_cputype_raw = 0

                # Get exports for this architecture
                macho_export = self._extract_exports(arch_name)
                if not macho_export:
                    continue

                data.append([
                    arch_sha256,                          # sha256 (arch-specific)
                    macho_export.macho_exports_total,     # macho_exports_total
                    macho_export.macho_export_symbols,    # macho_export_symbols (keep as array!)
                    current_time,                         # analysis_date
                ])

            column_names = [
                'sha256',
                'macho_exports_total', 'macho_export_symbols',
                'analysis_date'
            ]

            if not data:
                return None

            column_type_names = [
                'FixedString(64)',
                'UInt32', 'Array(Nullable(String))',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

        return None

    def get_clickhouse_table(self) -> str:
        return "redb_macho_exports"