Kaichen Song

19 papers C 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Trans. Instrum. Meas.
Lidong Huang, Xinglin Sun, Tiantian Huang, Zhijuan Zhu, Kaichen Song
2023 J jnl
IEEE Access
Bowen Xu, Wenrui Wang, Lingyun Ye, Kaichen Song
2023 J jnl
Sensors
Wenrui Wang, Bowen Xu, Lingyun Ye, Kaichen Song
2022 J jnl
Sensors
Qiuyan Miao, Qingxin Shu, Bin Wu, Xinglin Sun, Kaichen Song
2022 J jnl
Sensors
Meng Niu, Hongyu Ma, Xinglin Sun, Tiantian Huang, Kaichen Song
2022 J jnl
Sensors
Qiuyan Miao, Xinglin Sun, Bin Wu, Lingyun Ye, Kaichen Song
2022 J jnl
Sensors
Xiruo Su, Qiuyan Miao, Xinglin Sun, Haoran Ren, Lingyun Ye, Kaichen Song
2022 J jnl
Sensors
Xinglin Sun, Haojie Wu, Xinyue Tan, Wenrui Wang, Lingyun Ye, Kaichen Song
2022 J jnl
Sensors
Jiefeng Dai, Wenrui Wang, Bin Wu, Lingyun Ye, Kaichen Song
2021 J jnl
Bioinform.
Junwei Liu, Lulu Liu, Saisi Qu, Tongtong Zhang, Danyang Wang, Qinghua Ji, Tian Wang, Hongyu Shi, Kaichen Song, Weijia Fang, Wei Chen, Weiwei Yin
2021 J jnl
Sensors
Lidong Huang, Qiuyan Miao, Xiruo Su, Bin Wu, Kaichen Song
2020 conf
ACIRS
Zhuoyang Zou, Tiantian Huang, Lingyun Ye, Kaichen Song
2020 J jnl
Sensors
Wenrui Wang, Yeye Pei, Lingyun Ye, Kaichen Song
2019 J jnl
Sensors
Bin Wu, Tiantian Huang, Yan Jin, Jie Pan, Kaichen Song
2019 J jnl
Sensors
Bin Wu, Lingyun Ye, Tiantian Huang, Zhaowei Yang, Kaichen Song
2014 J jnl
IEICE Electron. Express
Li Kang, Lingyun Ye, Kaichen Song
2014 J jnl
Sensors
Li Kang, Lingyun Ye, Kaichen Song, Yang Zhou
2014 J jnl
Sensors
Fu-Cheng Deng, Lingyun Ye, Kaichen Song
2004 C conf
ICARCV
Lingyun Ye, Kaichen Song, Ying Chen
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