Kaiwen Wu

35 papers A* 9A 3Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge Gradient for Preference Learning.
CoRR
Kaiwen Wu, Jacob R. Gardner
2025 J jnl
Estimating the Material Footprint at the National Level from 1993 to 2022 Based on Multi-Feature CNN-BiLSTM.
ISPRS Int. J. Geo Inf.
LiZhi Miao, Yannan Wang, Kaiwen Wu, Lei Huang, Mei-Po Kwan
2025 J jnl
Mixed Likelihood Variational Gaussian Processes.
CoRR
Kaiwen Wu, Craig Sanders, Benjamin Letham, Phillip Guan
2025 J jnl
Spatiotemporal hybrid deep learning for estimating and analyzing carbon stocks: a case study in Jiangsu province, China.
Int. J. Digit. Earth
LiZhi Miao, Jvmin Wang, Kaiwen Wu, Heng Xu, Xiying Sun, Gang Lu, Mei-Po Kwan
2024 J jnl
A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions.
CoRR
Kaiwen Wu, Jacob R. Gardner
2024 A* conf
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference.
NeurIPS
Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham
2024 J jnl
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference.
CoRR
Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham
2024 A conf
Large-Scale Gaussian Processes via Alternating Projection.
AISTATS
Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner
2024 A* conf
Understanding Stochastic Natural Gradient Variational Inference.
ICML
Kaiwen Wu, Jacob R. Gardner
2024 J jnl
Understanding Stochastic Natural Gradient Variational Inference.
CoRR
Kaiwen Wu, Jacob R. Gardner
2023 J jnl
Black-Box Variational Inference Converges.
CoRR
Kyurae Kim, Kaiwen Wu, Jisu Oh, Yi-An Ma, Jacob R. Gardner
2023 — conf
Crop Type Classification Network for Hyperspectral Images Coupled with Agricultural Vegetation Indices.
Agro-Geoinformatics
Shuai Zhang, Yonghua Jiang, Chengjun Wang, Weiling Liu, Da Li, Kaiwen Wu
2023 A conf
Discovering Many Diverse Solutions with Bayesian Optimization.
AISTATS
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
2023 J jnl
Large-Scale Gaussian Processes via Alternating Projection.
CoRR
Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner
2023 — conf
Multi-scale Residual Spatial-Spectral Attention Longan-Litchi Extraction Network for Cultivated Land Non-grain Monitoring.
Agro-Geoinformatics
Yingshan Xue, Yonghua Jiang, Chengjun Wang, Kaiwen Wu, Xiaoxiao Zhang, Weiling Liu
2023 A* conf
On the Convergence of Black-Box Variational Inference.
NeurIPS
Kyurae Kim, Jisu Oh, Kaiwen Wu, Yi-An Ma, Jacob R. Gardner
2023 A* conf
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference.
ICML
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner
2023 J jnl
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference.
CoRR
Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner
2023 — conf
Resident-Based Store Recommendation Model for Community Commercial Planning.
ADMA (1)
Kaiwen Wu, Yanhu Li, Xiaofeng He
2023 A* conf
The Behavior and Convergence of Local Bayesian Optimization.
NeurIPS
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
2023 J jnl
The Behavior and Convergence of Local Bayesian Optimization.
CoRR
Kaiwen Wu, Kyurae Kim, Roman Garnett, Jacob R. Gardner
2023 A* conf
Variational Gaussian Processes with Decoupled Conditionals.
NeurIPS
Xinran Zhu, Kaiwen Wu, Natalie Maus, Jacob R. Gardner, David Bindel
2022 J jnl
Discovering Many Diverse Solutions with Bayesian Optimization.
CoRR
Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner
2022 J jnl
Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification.
Expert Syst. Appl.
Bo Xu, Kaiwen Wu, Ying Wu, Jie He, Chaoyi Chen
2022 A* conf
Local Bayesian optimization via maximizing probability of descent.
NeurIPS
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022 J jnl
Local Bayesian optimization via maximizing probability of descent.
CoRR
Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, Roman Garnett
2022 — conf
Research on Ultrasonic Image Segmentation of Thyroid Nodules Based on Improved U-net++.
BIC
Chaoyi Chen, Bo Xu, Ying Wu, Kaiwen Wu, Cuier Tan
2020 J jnl
Newton-type Methods for Minimax Optimization.
CoRR
Guojun Zhang, Kaiwen Wu, Pascal Poupart, Yaoliang Yu
2020 A conf
On Minimax Optimality of GANs for Robust Mean Estimation.
AISTATS
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu
2020 A* conf
Stronger and Faster Wasserstein Adversarial Attacks.
ICML
Kaiwen Wu, Allen Houze Wang, Yaoliang Yu
2020 J jnl
Stronger and Faster Wasserstein Adversarial Attacks.
CoRR
Kaiwen Wu, Allen Houze Wang, Yaoliang Yu
2019 A* conf
Distributional Reinforcement Learning for Efficient Exploration.
ICML
Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
2019 J jnl
Distributional Reinforcement Learning for Efficient Exploration.
CoRR
Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu
2019 J jnl
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin.
CoRR
Kaiwen Wu, Yaoliang Yu
2016 — conf
Research and practice of time-sharing device sharing mechanism in remote embedded experiment platform.
ICNC-FSKD
Kaiwen Wu, Yanmei Jin
redb/extractors/decompiler/bninja/analysis/api.py
← Index redb/extractors/decompiler/bninja/analysis/api.py python 
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