Hanlin Wang

78 papers A* 9A 5B 1Journal 43Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Zelin Gao, Qiuyu Wang, Yanhong Zeng, Jiapeng Zhu, Ka Leong Cheng, Yixuan Li, Hanlin Wang, Yinghao Xu, Shuailei Ma, Yihang Chen, Jie Liu, Yansong Cheng, Yao Yao, Jiayi Zhu, Yihao Meng, Kecheng Zheng, Qingyan Bai, Jingye Chen, Zehong Shen, Yue Yu, Xing Zhu, Yujun Shen, Hao Ouyang
2026 J jnl
CoRR
Yanjun Chen, Yirong Sun, Hanlin Wang, Xinming Zhang, Xiaoyu Shen, Wenjie Li, Wei Zhang
2026 J jnl
CoRR
Youwei Liu, Jian Wang, Hanlin Wang, Beichen Guo, Wenjie Li
2026 J jnl
NeuroImage
Zeliang Jiang, Pan Zhang, Hanlin Wang, Wenxiao Zhong, Xingwei An, Zhijie Zhang
2025 J jnl
Symmetry
Changqing Gao, Hanlin Wang, Nan Yang, Jianan Guo, Fei Liu, Jingli Du
2025 A conf
IROS
Le Wang, Xin Wang, Hanlin Wang, Xiqing Zuo, Chao Xu
2025 A* conf
CVPR
Yihao Meng, Hao Ouyang, Hanlin Wang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Zhiheng Liu, Yujun Shen, Huamin Qu
2025 A* conf
CVPR
Hanlin Wang, Zhan Tong, Kecheng Zheng, Yujun Shen, Limin Wang
2025 J jnl
Symmetry
Hanlin Wang, Liang Wan, Xiao Yang
2025 J jnl
CoRR
Hailin Zhong, Hanlin Wang, Yujun Ye, Meiyi Zhang, Shengxin Zhu
2025 J jnl
CoRR
Yihao Meng, Hao Ouyang, Yue Yu, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Hanlin Wang, Yixuan Li, Cheng Chen, Yanhong Zeng, Yujun Shen, Huamin Qu
2025 J jnl
CoRR
Wenjie Li, Sibo Zhu, Zhijian Li, Hanlin Wang
2025 J jnl
CoRR
Yilu Wu, Chenhui Zhu, Shuai Wang, Hanlin Wang, Jing Wang, Zhaoxiang Zhang, Limin Wang
2025 A* conf
CVPR
Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Qifeng Chen, Yujun Shen, Limin Wang
2025 J jnl
Signal Image Video Process.
Guohua Gao, Liyuan Zhang, Tao Ding, Hanlin Wang
2025 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang
2025 J jnl
CoRR
Xinghao Chen, Anhao Zhao, Heming Xia, Xuan Lu, Hanlin Wang, Yanjun Chen, Wei Zhang, Jian Wang, Wenjie Li, Xiaoyu Shen
2025 J jnl
CoRR
Hanlin Wang, Chak Tou Leong, Jiashuo Wang, Jian Wang, Wenjie Li
2025 J jnl
IEEE Trans. Inf. Forensics Secur.
Hanlin Wang, Shuyuan Yang, Zhixi Feng
2025 conf
ACL (Findings)
Hanlin Wang, Jian Wang, Chak Tou Leong, Wenjie Li
2025 J jnl
CoRR
Hanlin Wang, Jian Wang, Chak Tou Leong, Wenjie Li
2025 J jnl
CoRR
Qingyan Bai, Qiuyu Wang, Hao Ouyang, Yue Yu, Hanlin Wang, Wen Wang, Ka Leong Cheng, Shuailei Ma, Yanhong Zeng, Zichen Liu, Yinghao Xu, Yujun Shen, Qifeng Chen
2025 conf
ICANN (3)
Luyuan Yang, Yan Chu, Qingchao Zhao, Hanlin Wang, Ximeng Zhao, Zhong Chu
2025 J jnl
CoRR
Hanlin Wang, Hao Ouyang, Qiuyu Wang, Yue Yu, Yihao Meng, Wen Wang, Ka Leong Cheng, Shuailei Ma, Qingyan Bai, Yixuan Li, Cheng Chen, Yanhong Zeng, Xing Zhu, Yujun Shen, Qifeng Chen
2025 J jnl
Int. J. Mach. Learn. Cybern.
Zhengdong Lu, Ziqian Zeng, Jianwei Wang, Hanlin Wang, Weikai Lu, Huiping Zhuang
2024 conf
ICIC (LNAI 1)
Hanlin Wang, Zhijian Li
2024 J jnl
CoRR
Yihao Meng, Hao Ouyang, Hanlin Wang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Zhiheng Liu, Yujun Shen, Huamin Qu
2024 J jnl
IEEE Access
Jiabin Zheng, Hanlin Wang, Jiahui Yao
2024 J jnl
CoRR
Hanlin Wang, Zhan Tong, Kecheng Zheng, Yujun Shen, Limin Wang
2024 conf
ICIRA (1)
Changqing Gao, Hanlin Wang, Yongjie Zhao, Xuelin Du, Fei Liu
2024 J jnl
CoRR
Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li
2024 A* conf
ICSE
Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou
2024 conf
EMNLP (Findings)
Hanlin Wang, Chak Tou Leong, Jian Wang, Wenjie Li
2024 J jnl
CoRR
Hanlin Wang, Hao Ouyang, Qiuyu Wang, Wen Wang, Ka Leong Cheng, Qifeng Chen, Yujun Shen, Limin Wang
2024 conf
ROBIO
Changqing Gao, Hanlin Wang, Wenxue Zhou, Yongjie Zhao, Jiajun Wu, Xuelin Du
2024 conf
CBS
Changqing Gao, Hanlin Wang, Junran Yu, Yongjie Zhao, Xuelin Du, Jixue Mo, Fei Liu
2024 J jnl
CoRR
Chak Tou Leong, Yi Cheng, Kaishuai Xu, Jian Wang, Hanlin Wang, Wenjie Li
2024 J jnl
CoRR
Yilu Wu, Hanlin Wang, Jing Wang, Limin Wang
2024 J jnl
IEEE Internet Things J.
Hanlin Wang, Shuyuan Yang, Zhixi Feng, Bincheng Huang
2024 conf
ROBIO
Changqing Gao, Hanlin Wang, Piaopiao An, Bowen Chen, Yongjie Zhao, Xuelin Du, Jixue Mo
2024 J jnl
CoRR
Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Kai Yu, Xin Peng, Yiling Lou
2024 conf
ICIRA (1)
Changqing Gao, Ruikai Fan, Hanlin Wang, Yongjie Zhao, Fei Liu, Xuelin Du
2024 conf
LREC/COLING
Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang
2023 conf
CECCT
Hanlin Wang, Hua Yin, Qiuran Ren, Jiajia Zhang, Kuntian Tang
2023 conf
MLNLP
Zihao Wu, Hua Yin, Yuelei Ji, Hanlin Wang, Yiliang Lu, Ziqian Gao
2023 J jnl
CoRR
Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou
2023 J jnl
Comput. Biol. Medicine
Yanan Wu, Qianqian Qi, Shouliang Qi, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen
2023 A* conf
IJCAI
Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang
2023 A* conf
CVPR
Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang
2023 J jnl
CoRR
Hanlin Wang, Yilu Wu, Sheng Guo, Limin Wang
2023 J jnl
CoRR
Xueying Du, Mingwei Liu, Juntao Li, Hanlin Wang, Xin Peng, Yiling Lou
2022 J jnl
Ecol. Informatics
Hanlin Wang, Jinshan Zhong, Yingfan Xu, Gai Luo, Boyu Jiang, Qiang Hu, Yucheng Lin, Jianghong Ran
2022 J jnl
Comput. Biol. Medicine
Qianqian Qi, Shouliang Qi, Yanan Wu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu
2022 A* conf
ICSE
Changlin Liu, Hanlin Wang, Tianming Liu, Diandian Gu, Yun Ma, Haoyu Wang, Xusheng Xiao
2021 J jnl
Comput. Methods Programs Biomed.
Shouliang Qi, Caiwen Xu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu
2021 J jnl
IEEE Robotics Autom. Lett.
Hanlin Wang, Michael Rubenstein
2021 conf
DARS
Hanlin Wang, Michael Rubenstein
2021 conf
ICAIIS
Kai Wen, Hanlin Wang, Jiali Lu, Zhenkang Zhang
2020 A* conf
ICRA
Hanlin Wang, Michael Rubenstein
2020 A conf
IROS
Ji Chen, Hanlin Wang, Michael Rubenstein, Hadas Kress-Gazit
2020 J jnl
CoRR
Taosha Fan, Hanlin Wang, Michael Rubenstein, Todd D. Murphey
2020 J jnl
IEEE Trans. Robotics
Taosha Fan, Hanlin Wang, Michael Rubenstein, Todd D. Murphey
2020 conf
JCDL
Menghui Yang, Man Wang, Hanlin Wang, Guancan Yang, Hua Liu
2020 J jnl
IEEE Trans. Robotics
Hanlin Wang, Michael Rubenstein
2020 A conf
AAMAS
Yihan Zhang, Lyon Zhang, Hanlin Wang, Fabián E. Bustamante, Michael Rubenstein
2020 J jnl
IEEE Robotics Autom. Lett.
Hanlin Wang, Michael Rubenstein
2019 A conf
IROS
Taosha Fan, Hanlin Wang, Michael Rubenstein, Todd D. Murphey
2019 J jnl
Int. J. High Perform. Comput. Netw.
Zhijian Qu, Hanlin Wang, Xiang Peng, Ge Chen
2019 A* conf
ICSE
Xusheng Xiao, Xiaoyin Wang, Zhihao Cao, Hanlin Wang, Peng Gao
2019 conf
EIT
Hongye Shi, Yifan Kong, Deheng Deng, Hanlin Wang, Jichu Yao, Samar Bayan, Mahmood Al-Khassaweneh
2019 J jnl
IEEE Access
Zhijian Qu, Hanlin Wang, Xiang Peng, Qunfeng Wang
2019 conf
IHSI
Xiaohua Sun, Shiyu Wu, Shengchen Zhang, Hanlin Wang
2019 J jnl
Medical Biol. Eng. Comput.
Hanlin Wang, Yuxuan Zhou, Xiaoling Wu, Wei Wang, Qingqiang Yao
2016 A conf
IROS
Hanlin Wang, Michael Rubenstein
2016 conf
CyberC
Min Huang, Kai Bu, Hanlin Wang, Kaiwen Zhu
2016 conf
BIBM
Jiaxin Chan, Hanlin Wang
2013 conf
ITNG
Weifeng Xu, Hanlin Wang, Tao Ding
2013 B conf
COMPSAC
Weifeng Xu, Tao Ding, Hanlin Wang, Dianxiang Xu
redb/extractors/elf_extractors/elf_notes.py
← Index redb/extractors/elf_extractors/elf_notes.py python
import inspect
import binascii
from datetime import datetime, timezone
from typing import Any, List, Dict

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFNote


class ELFNotesExtractor(ELFExtractor):

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

    def _get_note_type_string(self, note_type: int, note_name: str) -> str:
        """Convert note type number to human-readable string."""

        # GNU-specific note types
        if note_name == "GNU":
            gnu_types = {
                1: "NT_GNU_ABI_TAG",
                2: "NT_GNU_HWCAP",
                3: "NT_GNU_BUILD_ID",
                4: "NT_GNU_GOLD_VERSION",
                5: "NT_GNU_PROPERTY_TYPE_0"
            }
            return gnu_types.get(note_type, f"NT_GNU_UNKNOWN_{note_type}")

        # Generic note types
        generic_types = {
            1: "NT_PRSTATUS",
            2: "NT_FPREGSET",
            3: "NT_PRPSINFO",
            4: "NT_TASKSTRUCT",
            5: "NT_AUXV",
            6: "NT_PSTATUS",
            7: "NT_FPREGS",
            8: "NT_PSINFO",
            9: "NT_PRCRED",
            10: "NT_UTSNAME",
            11: "NT_LWPSTATUS",
            12: "NT_LWPSINFO",
            13: "NT_PRFPXREG"
        }

        return generic_types.get(note_type, f"NT_UNKNOWN_{note_type}")

    def _format_note_description(self, note_desc, note_type: int, note_name: str) -> str:
        """Format note description based on type for human readability."""
        try:
            if not note_desc:
                return ""

            # Handle build ID specifically (common case)
            if note_name == "GNU" and note_type == 3:  # NT_GNU_BUILD_ID
                if isinstance(note_desc, bytes):
                    return binascii.hexlify(note_desc).decode('ascii')
                return str(note_desc)

            # Handle ABI tag
            if note_name == "GNU" and note_type == 1:  # NT_GNU_ABI_TAG
                if isinstance(note_desc, bytes) and len(note_desc) >= 16:
                    # ABI tag contains OS, major, minor, subminor
                    import struct
                    try:
                        os_val, major, minor, subminor = struct.unpack('<IIII', note_desc[:16])
                        os_names = {0: "Linux", 1: "GNU", 2: "Solaris", 3: "FreeBSD"}
                        os_name = os_names.get(os_val, f"OS_{os_val}")
                        return f"{os_name} {major}.{minor}.{subminor}"
                    except:
                        pass

            # For binary data, convert to hex
            if isinstance(note_desc, bytes):
                # Limit size for very large descriptions
                if len(note_desc) > 256:
                    return binascii.hexlify(note_desc[:256]).decode('ascii') + "..."
                return binascii.hexlify(note_desc).decode('ascii')

            # For string data
            if isinstance(note_desc, str):
                return note_desc

            # Fallback
            return str(note_desc)

        except Exception as e:
            self.log.error(f"Error formatting note description: {e}")
            return str(note_desc) if note_desc else ""

    def _extract_note_data(self, note, section_name: str) -> ELFNote:
        """Extract data from a single note entry."""
        try:
            # Get note properties
            note_name = note.get('n_name', '').rstrip('\x00') if note.get('n_name') else ""
            note_type_raw = note.get('n_type', 0)
            note_desc_raw = note.get('n_desc', b'')

            # Handle note_type - pyelftools may return string or int
            if isinstance(note_type_raw, str):
                # pyelftools returned the type as a string like 'NT_GNU_BUILD_ID'
                note_type_str = note_type_raw
                # Map known string types to integers
                note_type_map = {
                    'NT_GNU_ABI_TAG': 1,
                    'NT_GNU_HWCAP': 2,
                    'NT_GNU_BUILD_ID': 3,
                    'NT_GNU_GOLD_VERSION': 4,
                    'NT_GNU_PROPERTY_TYPE_0': 5,
                    'NT_PRSTATUS': 1,
                    'NT_FPREGSET': 2,
                    'NT_PRPSINFO': 3,
                    'NT_TASKSTRUCT': 4,
                    'NT_AUXV': 5,
                    'NT_PSTATUS': 6,
                    'NT_FPREGS': 7,
                    'NT_PSINFO': 8,
                    'NT_PRCRED': 9,
                    'NT_UTSNAME': 10,
                    'NT_LWPSTATUS': 11,
                    'NT_LWPSINFO': 12,
                    'NT_PRFPXREG': 13,
                }
                note_type = note_type_map.get(note_type_raw, 0)
            else:
                note_type = note_type_raw
                # Get human-readable type string
                note_type_str = self._get_note_type_string(note_type, note_name)

            # Format description
            note_desc = self._format_note_description(note_desc_raw, note_type, note_name)

            return ELFNote(
                note_name=note_name,
                note_type=note_type,
                note_type_str=note_type_str,
                note_desc=note_desc,
                note_section=section_name
            )

        except Exception as e:
            self.log.error(f"Error extracting note data: {e}")
            return None

    def _extract_notes_from_sections(self, elf) -> List[Dict]:
        """Extract notes from note sections."""
        notes = []

        try:
            # Look for note sections
            for section in elf.iter_sections():
                if (section.name and
                    section.name.startswith('.note') and
                    hasattr(section, 'iter_notes')):

                    section_name = section.name
                    try:
                        for note in section.iter_notes():
                            note_data = self._extract_note_data(note, section_name)
                            if note_data:
                                notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in section {section_name}: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from sections: {e}")

        return notes

    def _extract_notes_from_segments(self, elf) -> List[Dict]:
        """Extract notes from PT_NOTE segments."""
        notes = []

        try:
            # Look for PT_NOTE segments
            for segment in elf.iter_segments():
                if segment.header.get('p_type') == 'PT_NOTE':
                    segment_name = f"PT_NOTE_segment_{segment.header.get('p_offset', 0)}"

                    try:
                        if hasattr(segment, 'iter_notes'):
                            for note in segment.iter_notes():
                                note_data = self._extract_note_data(note, segment_name)
                                if note_data:
                                    notes.append(note_data)
                    except Exception as e:
                        self.log.debug(f"Could not process notes in segment: {e}")

        except Exception as e:
            self.log.error(f"Error extracting notes from segments: {e}")

        return notes

    def tag(self):
        return Tag.ELF_NOTES.value if hasattr(Tag, 'ELF_NOTES') else "elf_notes"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                all_notes = []

                # Extract notes from note sections
                section_notes = self._extract_notes_from_sections(elf)
                all_notes.extend(section_notes)

                # Extract notes from PT_NOTE segments
                segment_notes = self._extract_notes_from_segments(elf)
                all_notes.extend(segment_notes)

                # Remove duplicates (same note might appear in section and segment)
                unique_notes = []
                seen_notes = set()
                for note in all_notes:
                    note_key = (note.note_name, note.note_type, note.note_desc)
                    if note_key not in seen_notes:
                        seen_notes.add(note_key)
                        unique_notes.append(note)

                return unique_notes

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_notes = result
            return self.elf_notes

        except Exception as e:
            self.log.error(f"Error extracting ELF notes {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_notes
        elif exporter_type == "ClickHouseExporter":
            try:
                # Return valid empty structure if no notes found
                # None is reserved for actual errors

                # Prepare data arrays for all notes
                data = []
                current_time = datetime.now(timezone.utc)
                for note in self.elf_notes:
                    row = [
                        self.sha256,
                        self.md5,
                        self.sha1,
                        note.note_name,
                        note.note_type,
                        note.note_type_str,
                        note.note_desc,
                        note.note_section,
                        current_time
                    ]
                    data.append(row)

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'note_name', 'note_type', 'note_type_str',
                    'note_desc', 'note_section',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'LowCardinality(String)', 'UInt32', 'LowCardinality(String)',
                    'String CODEC(ZSTD(3))', 'LowCardinality(String)',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

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