Kai-Ning Wu

37 papers C 1Journal 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans Autom. Sci. Eng.
Wei-Jie Zhou, Xiao-Zhen Liu, Kai-Ning Wu, Yongxin Wu
2026 J jnl
J. Frankl. Inst.
Zhuo Xue, Kai-Ning Wu, Zhaojing Wu
2026 J jnl
Neural Networks
Yu Gao, Zhi-Yun Zhang, Xiao-Zhen Liu, Kai-Ning Wu
2025 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Xin-Xin Han, Kai-Ning Wu, Xin Yuan
2025 J jnl
Int. J. Control
Shuang Liang, Zhuo Xue, Kai-Ning Wu
2025 J jnl
Appl. Math. Comput.
Xing-Yu Li, Kai-Ning Wu, Zhan-Wen Yang
2025 J jnl
Eur. J. Control
Yu Gao, Kai-Ning Wu, Song Zhu
2025 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Jun Zhang, Song Zhu, Kai-Ning Wu, Mouquan Shen, Shiping Wen
2025 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Kun Yang, Xin-Xin Han, Kai-Ning Wu
2025 J jnl
IEEE Trans. Cybern.
Haoliang Liu, Kai-Ning Wu, Xiaodi Li
2025 J jnl
J. Frankl. Inst.
Xing-Yu Li, Kai-Ning Wu, Yongxin Wu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Yu Gao, Kai-Ning Wu, Song Zhu
2025 J jnl
J. Frankl. Inst.
Yu Gao, Kai-Ning Wu, Song Zhu, Deqiong Ding
2025 J jnl
J. Frankl. Inst.
Deqiong Ding, Guixiang Huang, Yu Gao, Kai-Ning Wu
2025 J jnl
Syst. Control. Lett.
Yunzhu Wang, Kai-Ning Wu, Yongxin Wu
2025 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Wei-Jie Zhou, Kai-Ning Wu, Yongxin Wu
2025 J jnl
IEEE Trans. Autom. Control.
Wei-Jie Zhou, Kai-Ning Wu, Yugang Niu
2025 J jnl
J. Frankl. Inst.
Wei-Jie Zhou, Kai-Ning Wu, Xiao-Zhen Liu
2024 C conf
ISNN
Yu Gao, Peining Jia, Kai-Ning Wu, Mingxin Kang
2024 J jnl
Int. J. Control
Ze-tao Li, Xiao-Zhen Liu, Kai-Ning Wu, Yu Yao
2024 J jnl
Autom.
Xin-Xin Han, Denis V. Efimov, Andrei Polyakov, Kai-Ning Wu
2024 J jnl
IEEE Trans. Cybern.
Xin-Xin Han, Kai-Ning Wu, Xin Yuan
2024 J jnl
Appl. Math. Comput.
Yan Cao, Wei-Jie Zhou, Xiao-Zhen Liu, Kai-Ning Wu
2023 J jnl
IEEE Trans. Cybern.
Xin-Xin Han, Kai-Ning Wu, Yugang Niu
2023 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Shuang Liang, Deqiong Ding, Kai-Ning Wu
2023 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Shuang Liang, Kai-Ning Wu, Mingxin He
2023 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Xiao-Zhen Liu, Kai-Ning Wu, Choon Ki Ahn
2023 J jnl
J. Frankl. Inst.
Zhuo Xue, Xin-Xin Han, Kai-Ning Wu
2023 J jnl
Appl. Math. Comput.
Xing-Yu Li, Kai-Ning Wu, Xiao-Zhen Liu
2023 J jnl
Int. J. Syst. Sci.
Wei-Jie Zhou, Min Long, Xiao-Zhen Liu, Kai-Ning Wu
2022 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Xin-Xin Han, Kai-Ning Wu, Yugang Niu
2022 J jnl
J. Frankl. Inst.
Xin-Xin Han, Kai-Ning Wu, Yu Yao
2022 J jnl
IEEE Trans. Neural Networks Learn. Syst.
Xiao-Zhen Liu, Kai-Ning Wu, Xiaohua Ding, Weihai Zhang
2022 J jnl
Neural Comput. Appl.
Xing-Yu Li, Qing-Ling Fan, Xiao-Zhen Liu, Kai-Ning Wu
2022 J jnl
IEEE Trans. Autom. Control.
Xiao-Zhen Liu, Kai-Ning Wu, Ze-tao Li
2022 J jnl
J. Frankl. Inst.
Kai-Ning Wu, Wei-Jie Zhou, Xiao-Zhen Liu
2020 J jnl
J. Frankl. Inst.
Kai-Ning Wu, Yun-Zhu Wang, Zhen 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"