Hanning Yuan

54 papers A* 4B 3C 5Misc 2Journal 24Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Eng. Appl. Artif. Intell.
Hanning Yuan, Zhihui Zhang, Qi Guo, Lianhua Chi, Sijie Ruan, Wei Zhou, Jinhui Pang, Xiaoshuai Hao
2026 A* conf
AAAI
Shuliang Wang, Xiaoting Leng, Sijie Ruan, Dingqi Yang, Yicheng Tang, Qianyu Yang, Qianxiong Xu, Jiabao Zhu, Hanning Yuan
2026 A* conf
AAAI
Yiqing Zou, Hanning Yuan, Qianyu Yang, Ziqiang Yuan, Shuliang Wang, Sijie Ruan
2026 J jnl
CoRR
Yiqing Zou, Hanning Yuan, Qianyu Yang, Ziqiang Yuan, Shuliang Wang, Sijie Ruan
2026 conf
KDD (1)
Sijie Ruan, Renchi Jiang, Song Tang, Yexin Li, Weixin Zhai, Xinhao Liu, Bingbing Hu, Hanning Yuan, Caicong Wu, Shuliang Wang
2026 J jnl
CoRR
Sijie Ruan, Jinyu Li, Jia Wei, Zenghao Xu, Jie Bao, Junshi Xu, Junyang Qiu, Hanning Yuan, Xiaoxiao Wang, Shuliang Wang
2025 conf
ADMA (4)
Lingyun Zou, Meishan Song, Hanning Yuan, Shuliang Wang
2025 A* conf
ICDE
Huaxu Han, Shuliang Wang, Sijie Ruan, Qianyu Yang, Yuxuan Liang, Ziqiang Yuan, Cheng Long, Hanning Yuan, Yu Zheng
2025 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shuliang Wang, Haoyu Han, Sijie Ruan, Ziyu Wang, Weixin Zhai, Ziqiang Yuan, Yeting Zhang, Hanning Yuan, Caicong Wu
2025 conf
KDD (2)
Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan, Shuliang Wang
2024 J jnl
Pattern Recognit.
Boxiang Zhao, Shuliang Wang, Lianhua Chi, Hanning Yuan, Ye Yuan, Qi Li, Jing Geng, Shao-Liang Zhang
2024 J jnl
CoRR
Zhihui Zhang, Xiaoshuai Hao, Hanning Yuan, Lianhua Chi, Qi Guo, Qi Li, Ziqiang Yuan, Jinhui Pang, Yexin Li, Sijie Ruan
2024 conf
ADMA (1)
Siwen Liu, Hanning Yuan, Ziqiang Yuan, Lianhua Chi, Jinyan Liu, Jing Geng, Shuliang Wang
2024 J jnl
CoRR
Siwen Liu, Jinyan Liu, Hanning Yuan, Qi Li, Jing Geng, Ziqiang Yuan, Huaxu Han
2024 J jnl
IEEE Trans. Geosci. Remote. Sens.
Shuliang Wang, Ziyu Wang, Sijie Ruan, Haoyu Han, Keqin Xiong, Hanning Yuan, Ziqiang Yuan, Guoqing Li, Jie Bao, Yu Zheng
2024 A* conf
KDD
Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li
2023 conf
ADMA (1)
Huaxu Han, Shuliang Wang, Hanning Yuan, Sijie Ruan
2023 conf
APWeb/WAIM (4)
Shuliang Wang, Xiaojia Liu, Qi Li, Hanning Yuan, Ye Yuan, Ziwen Feng, Fan Zhang
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Boxiang Zhao, Shuliang Wang, Lianhua Chi, Chuanfeng Zhao, Hanning Yuan, Qi Li, Xiaojia Liu, Jing Geng, Ye Yuan
2022 J jnl
Sensors
Chuanlu Liu, Shuliang Wang, Hanning Yuan, Yingxu Dang, Xiaojia Liu
2022 J jnl
Big Data
Chuanlu Liu, Shuliang Wang, Hanning Yuan, Xiaojia Liu
2021 J jnl
Inf. Sci.
Shuliang Wang, Qi Li, Chuanfeng Zhao, Xingquan Zhu, Hanning Yuan, Tianru Dai
2020 J jnl
Complex.
Shuliang Wang, Kanokwan Malang, Hanning Yuan, Aniwat Phaphuangwittayakul, Yuanyuan Lv, Matthew David Lowdermilk, Jing Geng
2020 J jnl
Patterns
Shuliang Wang, Jingting Yang, Zhengyu Chen, Hanning Yuan, Jing Geng, Zhen Hai
2019 J jnl
Complex.
Jing Geng, Shuliang Wang, Wenxia Gan, Hanning Yuan, Zeqiang Chen, Ziqiang Yuan, Tianru Dai
2019 C conf
IGARSS
Changlin Xiao, Rongjun Qin, Xiao Ling, Hanning Yuan
2018 J jnl
Complex.
Hanning Yuan, Yanni Han, Ning Cai, Wei An
2018 J jnl
Computing
Shuliang Wang, Shaopeng Wang, Hanning Yuan, Qi Li, Jing Geng, Yang Yu
2018 J jnl
J. Comput. Appl. Math.
Shuliang Wang, Yiping Zhao, Yue Shu, Hanning Yuan, Jing Geng, Shaopeng Wang
2018 C conf
ADMA
Hanning Yuan, Kanokwan Malang, Yuanyuan Lv, Aniwat Phaphuangwittayakul
2018 ed.
GSKI (1)
Hanning Yuan, Jing Geng, Chuanlu Liu, Fuling Bian, Tisinee Surapunt
2018 ed.
GSKI (2)
Hanning Yuan, Jing Geng, Chuanlu Liu, Fuling Bian, Tisinee Surapunt
2018 J jnl
WIREs Data Mining Knowl. Discov.
Shuliang Wang, Qi Li, Hanning Yuan, Deren Li, Jing Geng, Chuanfeng Zhao, Yimeng Lei, Chuanlu Liu, Chengfei Liu
2017 conf
GSKI (2)
Yichuan Yang, Hanning Yuan, Dapeng Li, Tianyun Shi, Wen Cheng
2017 conf
GSKI (1)
Hanning Yuan, Jiakai Yang, Xiaolei Li, Shengyu Ma
2017 ed.
GRMSE (1)
Hanning Yuan, Jing Geng, Fuling Bian
2017 ed.
GRMSE (2)
Hanning Yuan, Jing Geng, Fuling Bian
2017 J jnl
Int. J. Data Warehous. Min.
Hanning Yuan, Shuliang Wang, Jing Geng, Yang Yu, Ming Zhong
2016 C conf
ADMA
Hanning Yuan, Shuliang Wang, Yang Yu, Ming Zhong
2016 J jnl
WIREs Data Mining Knowl. Discov.
Deren Li, Shuliang Wang, Hanning Yuan, Deyi Li
2015 J jnl
Frontiers Comput. Sci.
Bing Yu, Yanni Han, Hanning Yuan, Xu Zhou, Zhen Xu
2015 B conf
GLOBECOM
Xuemin Wen, Yanni Han, Hanning Yuan, Xu Zhou, Zhen Xu
2015 conf
BIBM
Shuliang Wang, Ying Li, Dakui Wang, Hanning Yuan
2014 J jnl
Int. J. Data Warehous. Min.
Shuliang Wang, Hanning Yuan
2013 Misc conf
GrC
Hanning Yuan, Peng Wang
2013 J jnl
IEEE Trans. Knowl. Data Eng.
Hanning Yuan, Meng Fang, Xingquan Zhu
2013 B conf
ICPADS
Shuliang Wang, Hanning Yuan
2008 Misc conf
GrC
Hanning Yuan, Juebo Wu, Hong Jin
2008 conf
CSSE (4)
Hanning Yuan, Yanni Han, Jun Hu
2006 C conf
ADMA
Shuliang Wang, Hanning Yuan
2005 conf
FSKD (2)
Shuliang Wang, Wenzhong Shi, Hanning Yuan, Guoqing Chen
2005 C conf
ADMA
Hanning Yuan, Wenzhong Shi, Jiabing Sun
2004 B conf
KES
Shuliang Wang, Guoqing Chen, Deyi Li, Deren Li, Hanning Yuan
2004 conf
Rough Sets and Current Trends in Computing
Shuliang Wang, Hanning Yuan, Guoqing Chen, Deren Li, Wenzhong Shi
redb/extractors/decompiler/bninja/analysis/scores.py
← Index redb/extractors/decompiler/bninja/analysis/scores.py python
from collections import deque
from binaryninja import highlevelil
from binaryninja.enums import HighLevelILOperation


class ObfuscationScores:
    def __init__(self, hlil_function):
        self.function = hlil_function
        self._basic_blocks = list(hlil_function.basic_blocks) if hlil_function and hlil_function.basic_blocks else []
        self._block_count = len(self._basic_blocks)

    def flattened_score(self):
        """
        A heuristic for detecting control flow flattening from Tim Blazytko.
        Source: https://www.synthesis.to/2021/03/03/flattening_detection.html
        """
        if self._block_count == 0:
            return 0.0

        max_flattening_ratio = 0.0

        for basic_block in self._basic_blocks:
            dominated = get_dominated_by(basic_block)
            if not any(edge.source in dominated for edge in basic_block.incoming_edges):
                continue
            ratio = len(dominated) / self._block_count
            if ratio > max_flattening_ratio:
                max_flattening_ratio = ratio

        return max_flattening_ratio

    def MBA_score(self):
        """
        Score for MBA is obtained by the number of instructions that have at least one arithmetic operation and
        one logic operation DIVIDED by the number of instructions.
        """
        total = 0
        mba_count = 0

        for ins in self.function.instructions:
            total += 1
            if uses_mba(ins):
                mba_count += 1

        if total == 0:
            return 0.0

        return mba_count / total

def get_dominated_by(dominator):
    """
    Get the dominators that are dominated by the given dominator.
    (To recall the theory, a basic block B is called dominator for A if every path from START
    to A must include B)
    """
    result = set()
    worklist = deque([dominator])

    while worklist:
        block = worklist.popleft()
        if block in result:
            continue
        result.add(block)
        worklist.extend(block.dominator_tree_children)

    return result

_ARITHMETIC_OPS = frozenset({
    HighLevelILOperation.HLIL_ADD,
    HighLevelILOperation.HLIL_NEG,
    HighLevelILOperation.HLIL_SUB,
    HighLevelILOperation.HLIL_MUL,
    HighLevelILOperation.HLIL_DIVS,
    HighLevelILOperation.HLIL_MODS,
})

_LOGIC_OPS = frozenset({
    HighLevelILOperation.HLIL_NOT,
    HighLevelILOperation.HLIL_AND,
    HighLevelILOperation.HLIL_OR,
    HighLevelILOperation.HLIL_XOR,
    HighLevelILOperation.HLIL_LSR,
    HighLevelILOperation.HLIL_LSL,
})

_MBA_OPS = _ARITHMETIC_OPS | _LOGIC_OPS

def uses_mba(hlil_instruction):
    uses_logic = False
    uses_arithmetic = False
    stack = [hlil_instruction]

    while stack:
        instruction = stack.pop()

        if not isinstance(instruction, highlevelil.HighLevelILInstruction):
            continue

        op = instruction.operation

        if op not in _MBA_OPS:
            for operand in instruction.operands:
                if isinstance(operand, highlevelil.HighLevelILInstruction):
                    stack.append(operand)
            continue

        if op in _ARITHMETIC_OPS:
            uses_arithmetic = True
        else:
            uses_logic = True

        if uses_logic and uses_arithmetic:
            return True

        for operand in instruction.operands:
            if isinstance(operand, highlevelil.HighLevelILInstruction):
                stack.append(operand)

    return False