Kaijun Wu

26 papers B 1Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inf. Sci.
Yuan Ding, Kaijun Wu
2025 J jnl
IEEE Trans. Fuzzy Syst.
Ning Ma, Qinghua Hu, Kaijun Wu, Yubin Yuan
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Ning Ma, Kaijun Wu, Yubin Yuan, Shuoxun Liu, Jiawei Li
2025 J jnl
IEEE Trans. Vis. Comput. Graph.
Yuan Mei, Lichun Yang, Mengsi Wang, Tianxiu Yu, Kaijun Wu
2025 J jnl
IEEE Trans. Consumer Electron.
Yan Cao, Yi Zhang, Yingjie Lin, Kaijun Wu
2025 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Chenshuai Bai, Kaijun Wu, Xiaofeng Bai, Xiaoqiang Wu
2025 J jnl
IEEE Trans. Instrum. Meas.
Dicong Wang, Qilong Wang, Qinghua Hu, Kaijun Wu
2025 J jnl
Vis. Comput.
Mengsi Wang, Yuan Mei, Lichun Yang, Bin Tian, Kaijun Wu
2024 J jnl
Multim. Syst.
Dicong Wang, Kaijun Wu
2024 J jnl
IEEE Trans. Consumer Electron.
Yuan Mei, Lichun Yang, Mengsi Wang, Yidan Gao, Kaijun Wu
2024 B conf
IJCNN
Kaijun Wu, Haowen Wang, Xiaofeng Bai, Cao Yan, Bin Tian
2024 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Xiaofeng Bai, Kaijun Wu, Chenshuai Bai
2023 J jnl
Multim. Syst.
Dicong Wang, Qinghua Hu, Kaijun Wu
2023 conf
DSIT
Xiaofeng Bai, Kaijun Wu, Chenshuai Bai
2023 conf
ICCVIT
Guoqiang Wang, Kaijun Wu
2022 J jnl
Comput. Intell.
Tiejun Wang, Kaijun Wu, Tiaotiao Du, Xiaochun Cheng
2022 J jnl
J. Electronic Imaging
Kaijun Wu, Mengsi Wang, Yuan Mei, Hongquan Shan, Zehao Xu
2022 J jnl
Mach. Vis. Appl.
Kaijun Wu, Yuan Mei
2021 J jnl
IEEE Access
Kaijun Wu, Chenshuai Bai, Dicong Wang, Zhengnan Liu, Tao Huang, Huan Zheng
2020 J jnl
J. Ambient Intell. Humaniz. Comput.
Kaijun Wu, Wenqin Li, Dicong Wang
2020 conf
ATCI
Dicong Wang, Kaijun Wu
2019 J jnl
Concurr. Comput. Pract. Exp.
Kaijun Wu, Yu Chao, Dicong Wang
2018 J jnl
IEEE Access
Tiejun Wang, Dicong Wang, Kaijun Wu
2018 J jnl
Neural Comput. Appl.
Kaijun Wu, Tiejun Wang, Chunli Wang, Tiaotiao Du, Huaiwei Lu
2017 J jnl
Clust. Comput.
Kaijun Wu, Boping Zhang, Bin Tian, Sanshan Du, Huaiwei Lu
2016 J jnl
Neural Comput. Appl.
Kaijun Wu, Tianqi Luo, Huaiwei Lu, Yang Wang
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"