Xiao-Li Wang

22 papers C 1Misc 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biomed. Signal Process. Control.
Xiao-Li Wang, Cheng-hai He, Ying Feng, Qi Feng
2026 J jnl
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Xiao-Li Wang, Run-jie Wu, Ying Feng, Ya Li, Wei-Xin Xie
2026 J jnl
Biomed. Signal Process. Control.
Xiao-Li Wang, Run-jie Wu, Ying Feng, Ducheng Shi, Qi Feng
2025 J jnl
Neurocomputing
Xiao-Li Wang, Shang-lin Zhu, Li-yang Qin, Jie Han, Yu-Long Wang, Feng Yan
2023 J jnl
Biomed. Signal Process. Control.
Ya Li, Jing-Hao Luo, Qing-Yun Dai, Jason K. Eshraghian, Bingo Wing-Kuen Ling, Ciyan Zheng, Xiao-Li Wang
2023 J jnl
Entropy
Ying-Hui Yang, Bing-Bing Zhang, Xiao-Li Wang, Shi-Jiao Geng, Pei-Ying Chen
2023 J jnl
Fuzzy Optim. Decis. Mak.
Xiao-Li Wang, Wei-Xin Xie, Liang-qun Li
2022 J jnl
Int. J. Bifurc. Chaos
Ciyan Zheng, Long Peng, Jason K. Eshraghian, Xiao-Li Wang, Jian Cen, Herbert Ho-Ching Iu
2021 J jnl
Pattern Recognit. Lett.
Xiao-Li Wang, Zhi-fan Zhu, Yan Song, Hai-juan Fu
2021 J jnl
Digit. Signal Process.
Xiao-Li Wang, Wei-Xin Xie, Liang-qun Li
2021 J jnl
Int. J. Fuzzy Syst.
Xiao-Li Wang, Wei-Xin Xie, Liang-qun Li
2020 J jnl
Int. J. Approx. Reason.
Xiao-Li Wang, Liang-qun Li, Wei-Xin Xie
2020 J jnl
Artif. Intell. Medicine
Ni Zhang, Yi-Xin Cai, Yong-Yong Wang, Yi-Tao Tian, Xiao-Li Wang, Benjamin Badami
2019 J jnl
Int. J. Fuzzy Syst.
Liang-qun Li, Xiao-Li Wang, Zong-xiang Liu, Wei-Xin Xie
2019 conf
eLEOT
Xiao-Li Wang, Chao Li, Wei-wei Fan, Xia Liu
2019 J jnl
Neurocomputing
Liang-qun Li, Xiao-Li Wang, Wei-Xin Xie, Zong-xiang Liu
2019 C conf
FUSION
Liang-qun Li, Xiao-Li Wang, Wei-Xin Xie
2018 conf
CCBR
Kurban Ubul, Xiao-Li Wang, Ahat Yimin, Shu-Jing Zhang, Tuergen Yibulayin
2017 J jnl
Sensors
Liang-qun Li, Xiao-Li Wang, Zong-xiang Liu, Wei-Xin Xie
2011 conf
FSKD
Xiao-Li Wang, Wei-Yi Liu
2011 conf
WISM (3)
Yun Liu, Xiao-Li Wang, Wenping Wang, Xuanting Ye, Wei Fan
2010 Misc conf
ICMLC
Xiao-Li Wang, Da-Zeng Tian, Shu Huang
redb/extractors/decompiler/bninja/utils/json_encoder.py
← Index redb/extractors/decompiler/bninja/utils/json_encoder.py python
import json


class BinaryNinjaEncoder(json.JSONEncoder):
    """Custom JSON encoder for BinaryNinja types"""

    def default(self, obj):
        # Handle Binary Ninja specific types

        # for values, we try to obtain the json for the value property
        if hasattr(obj, "value") and hasattr(obj, "confidence"):
            return obj.value

        # for strings, we simply compute the native string
        if hasattr(obj, "__str__"):
            return str(obj)

        # for all the others values we use the normal json encoder
        return json.JSONEncoder.default(self, obj)