Wei Wang

12 papers B 3C 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
J. Circuits Syst. Comput.
Wei Wang, Dan Meng, Haibei Zhu, Yi Zhang, Chao Kong
2025 J jnl
Pattern Recognit.
Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang, Shuai Liu, Yuefeng He
2024 J jnl
Neurocomputing
Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang
2024 C conf
ISPA
Xiangyun Gao, Dan Meng, Xianlan Sun, Wei Wang, Haibei Zhu, Chao Kong
2023 conf
ICCE-Taiwan
Yu Xiu, Wei Wang, Xing-Jing Liu, Jun-Jie Cheng
2022 J jnl
Concurr. Comput. Pract. Exp.
Wei Wang, Han Zhang, Yang Li, Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie
2021 J jnl
Connect. Sci.
Yang Li, Xinzhi Wang, Wei Wang, Zhenyu Zhang, Jianshu Wang, Xiangfeng Luo, Shaorong Xie
2021 J jnl
Concurr. Comput. Pract. Exp.
Wei Wang, Xiangfeng Luo, Yang Li, Shaorong Xie
2020 B conf
ICTAI
Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie
2020 B conf
ICTAI
Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li
2019 B conf
ICTAI
Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng
2019 J jnl
CoRR
Zhenyu Zhang, Xiangfeng Luo, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li
redb/extractors/decompiler/bninja/analysis/low_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/low_level_normalization.py python
from binaryninja import (
    ILRegister, ILRegisterStack, ILFlag,
    ILIntrinsic, ILSemanticFlagGroup,
)

class LowLevelNormalization:
    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 hasattr(op, "operation"):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if hasattr(sub, "operation"):
                        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, ILRegister):
            return "REG"
        if isinstance(val, ILRegisterStack):
            return "REG_STACK"
        if isinstance(val, ILFlag):
            return "FLAG"
        if isinstance(val, ILSemanticFlagGroup):
            return "FLAG_GROUP"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, int):
            return "CONST"
        return type(val).__name__.upper()

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

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