Wei Zhang - RankMe

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization. IEEE Access Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li
2022	—	`conf`	A heterogeneous graph cross-omics attention model for single-cell representation learning. BIBM Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh
2022	J	`jnl`	Are dropout imputation methods for scRNA-seq effective for scATAC-seq data? Briefings Bioinform. Yue Liu, Junfeng Zhang, Shu-Lin Wang, Xiangxiang Zeng, Wei Zhang
2021	J	`jnl`	A neural collaborative filtering method for identifying miRNA-disease associations. Neurocomputing Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li
2021	J	`jnl`	DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. IEEE ACM Trans. Comput. Biol. Bioinform. Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li
2021	J	`jnl`	Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data. J. Comput. Biol. Wei Zhang, Shu-Lin Wang, Yue Liu
2020	J	`jnl`	Definition of a New Metric With Mutual Exclusivity and Coverage for Identifying Cancer Driver Modules. IEEE Access Wei Zhang, Yue Liu, Lei Wang
2019	J	`jnl`	An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Zhang, Shu-Lin Wang
2019	J	`jnl`	Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model. J. Comput. Biol. Guo Mao, Shu-Lin Wang, Wei Zhang
2018	J	`jnl`	An efficient strategy for identifying cancer-related key genes based on graph entropy. Comput. Biol. Chem. Wei Zhang, Shu-Lin Wang
2018	J	`jnl`	Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data. IEEE Access Wei Zhang, Shu-Lin Wang
2018	J	`jnl`	MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering. J. Bioinform. Comput. Biol. Dan Luo, Shu-Lin Wang, Jianwen Fang, Wei Zhang
2017	J	`jnl`	GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif. J. Comput. Biol. Chao Pei, Shu-Lin Wang, Jianwen Fang, Wei Zhang

Year

Rank

Type

Title / Venue / Authors

2023

jnl

LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization.

IEEE Access

Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li

2022

—

conf

A heterogeneous graph cross-omics attention model for single-cell representation learning.

BIBM

Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh

2022

jnl

Are dropout imputation methods for scRNA-seq effective for scATAC-seq data?

Briefings Bioinform.

Yue Liu, Junfeng Zhang, Shu-Lin Wang, Xiangxiang Zeng, Wei Zhang

2021

jnl

A neural collaborative filtering method for identifying miRNA-disease associations.

Neurocomputing

Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Wen Li

2021

jnl

DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking.

IEEE ACM Trans. Comput. Biol. Bioinform.

Yue Liu, Shu-Lin Wang, Jun-Feng Zhang, Wei Zhang, Su Zhou, Wen Li

2021

jnl

Identification of Cancer Driver Modules Based on Graph Clustering from Multiomics Data.

J. Comput. Biol.

Wei Zhang, Shu-Lin Wang, Yue Liu

2020

jnl

Definition of a New Metric With Mutual Exclusivity and Coverage for Identifying Cancer Driver Modules.

IEEE Access

Wei Zhang, Yue Liu, Lei Wang

2019

jnl

An Integrated Framework for Identifying Mutated Driver Pathway and Cancer Progression.

IEEE ACM Trans. Comput. Biol. Bioinform.

Wei Zhang, Shu-Lin Wang

2019

jnl

Prediction of Potential Associations Between MicroRNA and Disease Based on Bayesian Probabilistic Matrix Factorization Model.

J. Comput. Biol.

Guo Mao, Shu-Lin Wang, Wei Zhang

2018

jnl

An efficient strategy for identifying cancer-related key genes based on graph entropy.

Comput. Biol. Chem.

Wei Zhang, Shu-Lin Wang

2018

jnl

Inference of Cancer Progression With Probabilistic Graphical Model From Cross-Sectional Mutation Data.

IEEE Access

Wei Zhang, Shu-Lin Wang

2018

jnl

MIMPFC: Identifying miRNA-mRNA regulatory modules by combining phase-only correlation and improved rough-fuzzy clustering.

J. Bioinform. Comput. Biol.

Dan Luo, Shu-Lin Wang, Jianwen Fang, Wei Zhang

2017

jnl

GSMC: Combining Parallel Gibbs Sampling with Maximal Cliques for Hunting DNA Motif.

J. Comput. Biol.

Chao Pei, Shu-Lin Wang, Jianwen Fang, Wei Zhang

from enum import Enum


class ApiCategory(Enum):
    FILE_OP = [
        "CreateFile",
        "ReadFile",
        "WriteFile",
        "DeleteFile",
        "SetFilePointer",
        "CopyFile",
        "MoveFile",
        "FindFirstFile",
        "FindNextFile",
    ]
    MEMORY_OP = [
        "VirtualAlloc",
        "VirtualFree",
        "HeapAlloc",
        "HeapFree",
        "LocalAlloc",
        "GlobalAlloc",
        "MapViewOfFile",
        "VirtualProtect",
    ]
    NETWORK_OP = [
        "socket",
        "connect",
        "bind",
        "send",
        "recv",
        "WSAStartup",
        "InternetOpen",
        "InternetConnect",
        "HttpOpenRequest",
        "HttpSendRequest",
        "InternetReadFile",
        "URLDownloadToFile",
    ]
    REGISTRY_OP = [
        "RegOpenKey",
        "RegCreateKey",
        "RegSetValue",
        "RegQueryValue",
        "RegDeleteKey",
        "RegEnumKey",
        "RegFlushKey",
    ]
    PROCESS_OP = [
        "CreateProcess",
        "OpenProcess",
        "TerminateProcess",
        "GetProcessId",
        "CreateProcessAsUser",
        "NtCreateProcess",
    ]
    THREAD_OP = [
        "CreateThread",
        "SuspendThread",
        "ResumeThread",
        "CreateRemoteThread",
        "SetThreadContext",
        "GetThreadContext",
    ]
    INJECTION_OP = [
        "WriteProcessMemory",
        "VirtualAllocEx",
        "NtWriteVirtualMemory",
        "SetWindowsHookEx",
        "QueueUserAPC",
        "NtMapViewOfSection",
    ]
    EVASION_OP = [
        "IsDebuggerPresent",
        "CheckRemoteDebuggerPresent",
        "NtQueryInformationProcess",
        "GetTickCount",
        "OutputDebugString",
        "Sleep",
        "QueryPerformanceCounter",
    ]
    SPYING_OP = [
        "GetAsyncKeyState",
        "GetKeyboardState",
        "GetKeyState",
        "GetForegroundWindow",
        "SetWindowsHookEx",
        "BitBlt",
        "GetClipboardData",
    ]
    SYSTEM_OP = [
        "CreateToolhelp32Snapshot",
        "EnumDeviceDrivers",
        "EnumProcesses",
        "GetSystemDirectoryA",
        "GetLogicalDrives",
    ]
    SERVICE_OP = [
        "CreateServiceA",
        "OpenServiceA",
        "StartServiceA",
        "DeleteService",
        "OpenSCManagerA",
        "ControlService",
    ]
    CRYPTO_OP = [
        "CryptAcquireContext",
        "CryptGenKey",
        "CryptEncrypt",
        "CryptDecrypt",
        "CryptCreateHash",
        "CryptHashData",
        "CryptGenRandom",
    ]
    DLL_OP = ["LoadLibrary", "GetProcAddress", "FreeLibrary", "LdrLoadDll"]
    UNKNOWN_OP = []

    @classmethod
    def from_api(cls, api_name):
        for category in cls:
            if any(api_name.startswith(api) for api in category.value):
                return category
        return cls.UNKNOWN_OP