Wei-Ren Peng

17 papers Unranked 17
YearRankTypeTitle / Venue / Authors
2020 conf
OFC
An Li, Wei-Ren Peng, Yan Cui, Yusheng Bai
2019 conf
OFC
An Li, Wei-Ren Peng, Yan Cui, Yusheng Bai
2018 conf
OFC
An Li, Samina Chowdhury, Yangjing Wen, Wei-Ren Peng, Yan Cui, Yusheng Bai
2018 conf
OFC
Wei-Ren Peng, Yanjun Zhu, An Li, Yan Cui, Yusheng Bai
2018 conf
OFC
An Li, Wei-Ren Peng, Yan Cui, Yusheng Bai
2017 conf
OFC
An Li, Wei-Ren Peng, Clarence Kan, Yanjun Zhu, Zhihong Li, Samina Chowdhury, Yan Cui, Yusheng Bai
2017 conf
OFC
Yanjun Zhu, An Li, Wei-Ren Peng, Clarence Kan, Zhihong Li, Samina Chowdhury, Yan Cui, Yusheng Bai
2016 conf
OFC
An Li, Zhihong Li, Yangjing Wen, Wei-Ren Peng, Yan Cui, Yusheng Bai
2016 conf
OFC
Wei-Ren Peng, Yanjun Zhu, Samina Chowdhury, Clarence Kan, Zhihong Li, Yan Cui, Fei Zhu, Yusheng Bai
2016 conf
OFC
Zhihong Li, Yangjing Wen, Tiangong Liu, Yanjun Zhu, Hongbing Lei, Wei-Ren Peng, Yan Cui, Andy Shen, Yusheng Bai
2016 conf
OFC
Yanjun Zhu, Clarence Kan, Yan Cui, Wei-Ren Peng, Samina Chowdhury, Zhihong Li, Yusheng Bai
2015 conf
OFC
Yanjun Zhu, Wei-Ren Peng, Yan Cui, Clarence Kan, Fei Zhu, Yusheng Bai
2015 conf
OFC
Wei-Ren Peng, Zhihong Li, Fei Zhu, Yusheng Bai
2014 conf
OFC
Wei-Ren Peng
2014 conf
ECOC
Lei Liu, Wei-Ren Peng, Ramon Casellas, Takehiro Tsuritani, Itsuro Morita, Ricardo Martinez, Raul Muñoz, S. J. Ben Yoo
2014 conf
ECOC
Wei-Ren Peng, Zhihong Li, Fei Zhu, Yusheng Bai
2014 conf
ECOC
Zhihong Li, Wei-Ren Peng, Fei Zhu, Yusheng Bai
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