Kangkan Wang

25 papers A* 4Misc 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Kangkan Wang, Kejie Wei, Shaoyuan Li
2026 J jnl
Knowl. Based Syst.
Kangkan Wang, Miao Zhao, Shao-Yuan Li
2026 A* conf
AAAI
Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang
2026 J jnl
Pattern Recognit.
Shenjian Gong, Kangkan Wang, Shanshan Zhang, Jian Yang
2025 J jnl
IEEE Trans. Image Process.
Kangkan Wang, Chong Wang, Jian Yang, Guofeng Zhang
2025 J jnl
CoRR
Minghao Wen, Shengjie Wu, Kangkan Wang, Dong Liang
2025 J jnl
Neural Networks
Shaoyuan Li, Yuxiang Zheng, Sheng-Jun Huang, Songcan Chen, Kangkan Wang
2025 J jnl
Knowl. Based Syst.
Shao-Yuan Li, Jinpeng Zheng, Mingguang Zhang, Dong Liang, Shaofang Li, Kangkan Wang
2024 conf
PRCV (6)
Kangkan Wang, Shihao Yin, Chenghao Fang
2023 J jnl
Vis. Comput.
Kangkan Wang, Guofeng Zhang, Jian Yang
2023 conf
IAIC (2)
Chenghao Fang, Kangkan Wang, Shihao Yin, Shaoyuan Li
2023 A* conf
CVPR
Kangkan Wang, Guofeng Zhang, Suxu Cong, Jian Yang
2023 J jnl
IEEE Trans. Vis. Comput. Graph.
Kangkan Wang, Sida Peng, Xiaowei Zhou, Jian Yang, Guofeng Zhang
2021 Misc conf
ICASSP
ZhaoYang Gui, Shanshan Zhang, Kangkan Wang, Jian Yang, Pong Chi Yuen
2021 J jnl
Vis. Comput.
Kangkan Wang, Guofeng Zhang, Jian Yang, Hujun Bao
2021 J jnl
Comput. Graph.
Zhaoxin Li, Xiaoge Zhang, Kangkan Wang, Hao Jiang, Zhaoqi Wang
2021 J jnl
IEEE Trans. Image Process.
Kangkan Wang, Guofeng Zhang, Huayu Zheng, Jian Yang
2021 A* conf
ISMAR
Kangkan Wang, Huayu Zheng, Guofeng Zhang, Jian Yang
2021 conf
ICIG (2)
Huayu Zheng, Kangkan Wang, Wei Li, Jian Yang
2020 conf
PRCV (1)
Lei Liu, Kangkan Wang, Jian Yang
2020 A* conf
CVPR
Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang
2017 J jnl
IEEE Trans. Image Process.
Kangkan Wang, Guofeng Zhang, Shihong Xia
2014 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Kangkan Wang, Xianwang Wang, Zhigeng Pan, Kai Liu
2014 J jnl
IEEE Trans. Image Process.
Kangkan Wang, Guofeng Zhang, Hujun Bao
2010 J jnl
Int. J. Virtual Real.
Mingmin Zhang, Nan Xiang, Kangkan Wang, Zhigeng Pan, Haibo Yuan, Houquan Liu
redb/extractors/js_extractors/js_content.py
← Index redb/extractors/js_extractors/js_content.py python
"""Persists raw + normalised text into the generic `code_text_content` table.

Reads the raw source and the deobfuscation result directly from the shared
JSContext so no extra compute happens here — both values are computed once
per sample (the source at JSContext construction, the deobfuscation lazily
on first access) and reused by any extractor that needs them.

`text_normalized` is left NULL when the deobfuscation pass produced no
output, so analysts can distinguish "we tried and got nothing" from
"normalisation succeeded".
"""

import inspect
from datetime import datetime, timezone
from typing import Any

from redb.extractors.enum import Tag
from redb.extractors.js_extractor import JSExtractor


class JSContentExtractor(JSExtractor):

    def __init__(
        self, filepath, log, exporters=None, index_prefix=None,
        known_benign=False, known_malicious=False, source=None, context=None,
    ):
        super().__init__(
            filepath, log, exporters, index_prefix,
            known_benign, known_malicious, source, context=context,
        )
        self.content_row = None
        self.log.debug(inspect.currentframe().f_code.co_name)

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

    def extract(self):
        src = self.js_source
        if not src:
            return None

        deobfuscated, normalizer_used = self._context.deobfuscated

        self.content_row = {
            "content_type": self._context.content_type,
            "text_raw": src,
            "text_normalized": deobfuscated,  # may be None
            "normalizer_used": normalizer_used,  # may be None
        }
        return self.content_row

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type != "ClickHouseExporter":
            return None
        if not self.content_row:
            return None

        r = self.content_row
        data = [[
            self.sha256,
            r["content_type"],
            r["text_raw"],
            r["text_normalized"],
            r["normalizer_used"],
            datetime.now(timezone.utc),
        ]]

        column_names = [
            "sha256",
            "content_type",
            "text_raw",
            "text_normalized",
            "normalizer_used",
            "analysis_date",
        ]

        column_type_names = [
            "FixedString(64)",
            "LowCardinality(String)",
            "String",
            "Nullable(String)",
            "Nullable(String)",
            "DateTime64(3, 'UTC')",
        ]

        return (data, column_names, column_type_names)

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