Weifan Li - RankMe

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CMIP: Combining Constructive Model With Improvement Policy for Large-Scale Min-Max Multiple Traveling Salesman Problem. IEEE Trans. Intell. Transp. Syst. Binbin Zuo, Weifan Li, Jiankuo Zhao, Tianxiang Bai, Linqian Yang, Zhe Ma, Yuanheng Zhu
2024	J	`jnl`	BViT: Broad Attention-Based Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie
2024	J	`jnl`	High-Resolution and Wide-Span Terahertz Frequency Measurement Using Nonlinear Up-Conversion. IEEE Trans. Instrum. Meas. Qiaoqiao Fu, Pengxiang Liu, Wei Li, Feng Qi, Zibo Pang, Weifan Li, Yelong Wang, Zhaoyang Liu
2023	B	`conf`	Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning. IJCNN Weifan Li, Yuanheng Zhu, Dongbin Zhao
2023	J	`jnl`	Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao
2023	C	`conf`	Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning. CoG Elvis S. Liu, Weifan Li, Yuan Zhou, Hugh Cao, Zhengwen Zeng
2023	J	`jnl`	UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. IEEE Trans. Neural Networks Learn. Syst. Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2022	J	`jnl`	BViT: Broad Attention based Vision Transformer. CoRR Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
2022	J	`jnl`	Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target. Complex Intell. Syst. Weifan Li, Yuanheng Zhu, Dongbin Zhao
2022	J	`jnl`	UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. CoRR Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding
2019	—	`conf`	Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games. SSCI Weifan Li, Yuanheng Zhu, Dongbin Zhao
2013	J	`jnl`	Input Space Partitioning for Neural Network Learning. Int. J. Appl. Evol. Comput. Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. K. Qin

Year

Rank

Type

Title / Venue / Authors

2026

jnl

CMIP: Combining Constructive Model With Improvement Policy for Large-Scale Min-Max Multiple Traveling Salesman Problem.

IEEE Trans. Intell. Transp. Syst.

Binbin Zuo, Weifan Li, Jiankuo Zhao, Tianxiang Bai, Linqian Yang, Zhe Ma, Yuanheng Zhu

2024

jnl

BViT: Broad Attention-Based Vision Transformer.

IEEE Trans. Neural Networks Learn. Syst.

Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie

2024

jnl

High-Resolution and Wide-Span Terahertz Frequency Measurement Using Nonlinear Up-Conversion.

IEEE Trans. Instrum. Meas.

Qiaoqiao Fu, Pengxiang Liu, Wei Li, Feng Qi, Zibo Pang, Weifan Li, Yelong Wang, Zhaoyang Liu

2023

conf

Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning.

IJCNN

Weifan Li, Yuanheng Zhu, Dongbin Zhao

2023

jnl

Empirical Policy Optimization for n-Player Markov Games.

IEEE Trans. Cybern.

Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao

2023

conf

Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning.

CoG

Elvis S. Liu, Weifan Li, Yuan Zhou, Hugh Cao, Zhengwen Zeng

2023

jnl

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios.

IEEE Trans. Neural Networks Learn. Syst.

Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding

2022

jnl

BViT: Broad Attention based Vision Transformer.

CoRR

Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao

2022

jnl

Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target.

Complex Intell. Syst.

Weifan Li, Yuanheng Zhu, Dongbin Zhao

2022

jnl

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios.

CoRR

Jiajun Chai, Weifan Li, Yuanheng Zhu, Dongbin Zhao, Zhe Ma, Kewu Sun, Jishiyu Ding

2019

—

conf

Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games.

SSCI

Weifan Li, Yuanheng Zhu, Dongbin Zhao

2013

jnl

Input Space Partitioning for Neural Network Learning.

Int. J. Appl. Evol. Comput.

Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. K. Qin

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