Hai-Feng Zhang

27 papers Journal 27
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Hai-Feng Zhang, Kun-Peng Liu, Huan Wang, Chuang Ma
2024 J jnl
IEEE Trans. Comput. Soc. Syst.
Kejia Zhang, Xiao Ding, Bing-Bing Xiang, Hai-Feng Zhang, Zhongkui Bao
2024 J jnl
Reliab. Eng. Syst. Saf.
Hai-Feng Zhang, Hao-Ren Wang, Bing-Bing Xiang, Huan Wang
2023 J jnl
Complex Intell. Syst.
Li Zhou, Xiao-Jing Ma, Donghui Pan, Dong-Mei Fan, Hai-Feng Zhang, Kai Zhong
2022 J jnl
IEEE Trans. Comput. Soc. Syst.
Xiao Ding, Chuang Ma, Xingyi Zhang, Han-Shuang Chen, Hai-Feng Zhang
2021 J jnl
Appl. Math. Comput.
Huan Wang, Chuang Ma, Han-Shuang Chen, Hai-Feng Zhang
2020 J jnl
SIAM J. Appl. Dyn. Syst.
Chuang Ma, Han-Shuang Chen, Xiang Li, Ying-Cheng Lai, Hai-Feng Zhang
2019 J jnl
IEEE Trans. Circuits Syst. I Regul. Pap.
Hai-Feng Zhang, Fang Xu, Zhongkui Bao, Chuang Ma
2018 J jnl
CoRR
Chuang Ma, Bing-Bing Xiang, Han-Shuang Chen, Hai-Feng Zhang
2018 J jnl
CoRR
Chuang Ma, Han-Shuang Chen, Xiang Li, Ying-Cheng Lai, Hai-Feng Zhang
2017 J jnl
IEEE Trans. Comput. Soc. Syst.
Xingyi Zhang, Congtao Wang, Yansen Su, Linqiang Pan, Hai-Feng Zhang
2017 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Jia-Qian Kan, Hai-Feng Zhang
2017 J jnl
Appl. Math. Comput.
Hai-Feng Zhang, Panpan Shu, Zhen Wang, Ming Tang, Michael Small
2016 J jnl
CoRR
Bing-Bing Xiang, Zhongkui Bao, Chuang Ma, Xingyi Zhang, Han-Shuang Chen, Hai-Feng Zhang
2016 J jnl
CoRR
Lei Gao, Wei Wang, Liming Pan, Ming Tang, Hai-Feng Zhang
2016 J jnl
CoRR
Chuang Ma, Zhongkui Bao, Hai-Feng Zhang
2016 J jnl
CoRR
Chuang Ma, Tao Zhou, Hai-Feng Zhang
2016 J jnl
CoRR
Mian-Xin Liu, Wei Wang, Ying Liu, Ming Tang, Shi-Min Cai, Hai-Feng Zhang
2015 J jnl
CoRR
Wei Wang, Ming Tang, Hai-Feng Zhang, Ying-Cheng Lai
2015 J jnl
CoRR
Jia-Qian Kan, Hai-Feng Zhang
2015 J jnl
CoRR
Ling-Ling Ma, Chuang Ma, Hai-Feng Zhang
2015 J jnl
CoRR
Quan-Hui Liu, Wei Wang, Ming Tang, Hai-Feng Zhang
2015 J jnl
CoRR
Hai-Feng Zhang, Panpan Shu, Ming Tang, Michael Small
2014 J jnl
CoRR
Wei Wang, Ming Tang, Hai-Feng Zhang, Hui Gao, Younghae Do, Zonghua Liu
2014 J jnl
CoRR
Xiang-Yu Zhao, Bin Huang, Ming Tang, Hai-Feng Zhang, Duan-Bing Chen
2013 J jnl
CoRR
Hai-Feng Zhang, Zimo Yang, Zhi-Xi Wu, Bing-Hong Wang, Tao Zhou
2012 J jnl
CoRR
Hai-Feng Zhang, Zhi-Xi Wu, Xiaoke Xu, Michael Small, Bing-Hong Wang
redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py python
from binaryninja import (
    MediumLevelILInstruction,
    Variable, SSAVariable,
    ILIntrinsic,
)


class MediumLevelNormalization:
    def __init__(self):
        return

    def _collect_ops(self, il, ops):
        if il is None:
            return
        ops.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect_ops(sub, ops)

    def normalize_instruction_all_levels(self, instr_il):
        ops = []
        self._collect_ops(instr_il, ops)
        return ops

    def _leaf_type(self, val):
        if isinstance(val, SSAVariable):
            return "SSA_VAR"
        if isinstance(val, Variable):
            return "VAR"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, float):
            return "FLOAT_CONST"
        if isinstance(val, int):
            return "CONST"
        if isinstance(val, str):
            return "STR"
        return type(val).__name__.upper()

    def _collect(self, il, out_op):
        if il is None:
            return
        out_op.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect(op, out_op)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect(sub, out_op)
                    else:
                        out_op.append(self._leaf_type(sub))
            else:
                out_op.append(self._leaf_type(op))

    def normalize_instr_with_operands(self, instr_il):
        ops = []
        self._collect(instr_il, ops)
        return ops