Xiaochang Li

19 papers B 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Ann. Hist. Comput.
Morgan Ames, Ekaterina Babintseva, Xiaochang Li, Colette Perold, Gili Vidan
2026 J jnl
CoRR
Hongjue Zhao, Haosen Sun, Jiangtao Kong, Xiaochang Li, Qineng Wang, Liwei Jiang, Qi Zhu, Tarek F. Abdelzaher, Yejin Choi, Manling Li, Huajie Shao
2026 J jnl
CoRR
Daniel Rodríguez-Cárdenas, Xiaochang Li, Marcos Macedo, Antonio Mastropaolo, Dipin Khati, Yuan Tian, Huajie Shao, Denys Poshyvanyk
2026 J jnl
CoRR
Yuchen Wang, Jiangtao Kong, Sizhe Wei, Xiaochang Li, Haohong Lin, Hongjue Zhao, Tianyi Zhou, Lu Gan, Huajie Shao
2025 J jnl
Digit. Signal Process.
Xiaogang Song, Hailong Yang, Junjie Tang, Xiaochang Li, Xiaofeng Lu, Xinhong Hei
2025 J jnl
IEEE Trans. Multim.
Xiaogang Song, Pengfei Zhang, Xiaochang Li, Xinhong Hei, Rongrong Liu
2025 J jnl
Neural Networks
Xiaogang Song, Yuping Tan, Xiaochang Li, Xinhong Hei
2025 B conf
ICCCN
Wei Fan, JinYi Yoon, Xiaochang Li, Huajie Shao, Bo Ji
2025 J jnl
CoRR
Wei Fan, JinYi Yoon, Xiaochang Li, Huajie Shao, Bo Ji
2025 conf
ICIC (17)
Anzhen Li, Shufan Qing, Xiaochang Li, Rui Mao, Mingchen Feng
2025 J jnl
CoRR
Anzhen Li, Shufan Qing, Xiaochang Li, Rui Mao, Mingchen Feng
2025 J jnl
Future Gener. Comput. Syst.
Xiaochang Li, Minjae Kim, Sungjin Lee, Zhengjun Zhai, Jihong Kim
2024 J jnl
CoRR
Qineng Wang, Chen Qian, Xiaochang Li, Ziyu Yao, Huajie Shao
2024 J jnl
CoRR
Chen Qian, Xiaochang Li, Qineng Wang, Gang Zhou, Huajie Shao
2024 J jnl
IEEE Ann. Hist. Comput.
Morgan Ames, Ekaterina Babintseva, Xiaochang Li, Colette Perold, Gili Vidan
2021 J jnl
Symmetry
Xiaochang Li, Zhengjun Zhai, Xin Ye
2020 J jnl
CoRR
Xiaochang Li, Bei Chen, Xuesong Lu
2020 J jnl
Symmetry
Xin Ye, Zhengjun Zhai, Xiaochang Li
2019 conf
BICS
Xiaochang Li, Zhengjun Zhai, Xin Ye, Feiyao Dong
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