Explanipedia

Large-scale IoT attack detection scheme based on LightGBM and feature selection using an improved salp swarm algorithm Open

Weizhe Chen, Hongyu Yang, Lihua Yin, Xi Luo · 2024

Due to the swift advancement of the Internet of Things (IoT), there has been a significant surge in the quantity of interconnected IoT devices that send and exchange vital data across the network. Nevertheless, the frequency of attacks on …

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents Open

Weizhe Chen, Sven Koenig, Bistra Dilkina · 2024

In the past year, large language models (LLMs) have had remarkable success in domains outside the traditional natural language processing, and their capacity is further expanded into the so-called LLM agents when connected with external to…

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering Open

Weizhe Chen, Lantao Liu, Roni Khardon · 2024

Gaussian Process (GP) models are widely used for Robotic Information Gathering (RIG) in exploring unknown environments due to their ability to model complex phenomena with non-parametric flexibility and accurately quantify prediction uncer…

No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding Open

Weizhe Chen, Zhihan Wang, Jiaoyang Li, Sven Koenig, Bistra Dilkina · 2024

Since more and more algorithms are proposed for multi-agent path finding (MAPF) and each of them has its strengths, choosing the correct one for a specific scenario that fulfills some specified requirements is an important task. Previous r…

MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search Open

Weizhe Chen, Sven Koenig, Bistra Dilkina · 2024

Cooperative multi-agent reinforcement learning (MARL) has been an increasingly important research topic in the last half-decade because of its great potential for real-world applications. Because of the curse of dimensionality, the popular…

Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet Open

Weizhe Chen, Sven Koenig, Bistra Dilkina · 2024

With the explosive influence caused by the success of large language models (LLM) like ChatGPT and GPT-4, there has been an extensive amount of recent work showing that foundation models can be used to solve a large variety of tasks. Howev…

A Dynamic Trading Strategy Based on Conditional Value-at-risk Open

Weizhe Chen · 2023

This thesis studies two risk measurement methods, Value-at-Risk (VaR) method and Conditional-Value-at-Risk (CVaR) method. The concepts, prop- erties and calculation methods of VaR and CVaR method are introduced. On the basis of CVaR method…

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Open

Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon · 2023

The paper introduces DiSProD, an online planner developed for environments with probabilistic transitions in continuous state and action spaces. DiSProD builds a symbolic graph that captures the distribution of future trajectories, conditi…

Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning Open

Weizhe Chen, Lantao Liu · 2023

Adaptive sampling and planning in robotic environmental monitoring are challenging when the target environmental process varies over space and time. The underlying environmental dynamics require the planning module to integrate future envi…

Long-Term Autonomous Ocean Monitoring with Streaming Samples Open

Weizhe Chen, Lantao Liu · 2023

In the autonomous ocean monitoring task, the sampling robot moves in the environment and accumulates data continuously. The widely adopted spatial modeling method - standard Gaussian process (GP) regression - becomes inadequate in processi…

Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes Open

Weizhe Chen, Roni Khardon, Lantao Liu · 2023

Robotic Information Gathering (RIG) is a foundational research topic that answers how a robot (team) collects informative data to efficiently build an accurate model of an unknown target function under robot embodiment constraints. RIG has…

To Enhance Nighttime Vehicle Recognition with YOLO Technology Based on Optical and Thermal Images Open

Chih-Wei Kuan, Mei-Ling Yeh, Tien‐Yin Chou, Weizhe Chen · 2023

This study proposes a method to enhance the recognition capability of nighttime driving vehicles by using a combination of optical and thermal imaging, along with the Yolo algorithm in AI deep learning.The proposed method is applied to the…

DiSProD: Differentiable Symbolic Propagation of Distributions for Planning Open

Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon · 2023

The paper introduces DiSProD, an online planner developed for environments with probabilistic transitions in continuous state and action spaces. DiSProD builds a symbolic graph that captures the distribution of future trajectories, conditi…

Discovering Symbolic Policy for Building Control using Reinforcement Learning Open

Soo Kyung Kim, Chihyeon Song, Weizhe Chen, Jinkyoo Park, Saman Mostafavi · 2023

We propose a learning framework for interpretable HVAC control in buildings using deep reinforcement learning (DRL). Our framework includes a data-driven surrogate environment to emulate building dynamics and a Deep Symbolic Policy for dis…

Fedafr: Enhancing Federated Learning with Adaptive Feature Open

youx huang, Shunzhi Zhu, Weizhe Chen, Zhicai Huang · 2023

AK: Attentive Kernel for Information Gathering Open

Weizhe Chen, Roni Khardon, Lantao Liu · 2022

Robotic Information Gathering (RIG) relies on the uncertainty of a probabilistic model to identify critical areas for efficient data collection.Gaussian processes (GPs) with stationary kernels have been widely adopted for spatial modeling.…

Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning Open

Weizhe Chen, Eshwar Prasad Sivaramakrishnan, Bistra Dilkina · 2022

Wildfires have increased in extent and severity, and are posing a growing threat to people's well-being and the environment. Prescribed burns (burning on purpose parts of the landscape) are one of the key mitigation strategies available to…

AK: Attentive Kernel for Information Gathering Open

Weizhe Chen, Roni Khardon, Lantao Liu · 2022

Robotic Information Gathering (RIG) relies on the uncertainty of a probabilistic model to identify critical areas for efficient data collection. Gaussian processes (GPs) with stationary kernels have been widely adopted for spatial modeling…

Model-Agnostic Multi-Agent Perception Framework Open

Weizhe Chen, Runsheng Xu, Hao Xiang, Lantao Liu, Jiaqi Ma · 2022

Existing multi-agent perception systems assume that every agent utilizes the same model with identical parameters and architecture. The performance can be degraded with different perception models due to the mismatch in their confidence sc…

Authorized Shared Electronic Medical Record System with Proxy Re-Encryption and Blockchain Technology Open

Weizhe Chen, Shunzhi Zhu, Jianmin Li, Jiaxin Wu, Chin‐Ling Chen , et al. · 2021

With the popularity of the internet 5G network, the network constructions of hospitals have also rapidly developed. Operations management in the healthcare system is becoming paperless, for example, via a shared electronic medical record (…

Informative Planning in the Presence of Outliers Open

Weizhe Chen, Lantao Liu · 2021

Informative planning seeks a sequence of actions that guide the robot to collect the most informative data to build a large-scale environmental model or learn a dynamical system. Existing work in informative planning mainly focuses on prop…

Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning Open

Weizhe Chen, Lantao Liu · 2021

In many environmental monitoring scenarios, the sampling robot needs to simultaneously explore the environment and exploit features of interest with limited time. We present an anytime multi-objective informative planning method called Par…

Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps Open

Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu · 2021

Autonomous exploration in unknown environments using mobile robots is the pillar of many robotic applications. Existing exploration frameworks either select the nearest geometric frontier or the nearest information-theoretic frontier. Howe…

Data-Driven Multimodal Patrol Planning for Anti-poaching Open

Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi , et al. · 2021

Wildlife poaching is threatening key species that play important roles in the ecosystem. With historical ranger patrol records, it is possible to provide data-driven predictions of poaching threats and plan patrols to combat poaching. Howe…

Wetlands of North African during mid-Holocene Open

Weizhe Chen · 2021

We present reconstructions of wetland distribution in the mid-Holocene North Africa using five calibrated wetland models and four precipitation levels. The five models are WM1a, WM1b, WM2a, WM2b and WM3 and the four precipitation levels ar…

When to Follow the Tip: Security Games with Strategic Informants Open

Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang · 2020

Although security games have attracted intensive research attention over the past years, few existing works consider how information from local communities would affect the game. In this paper, we introduce a new player -- a strategic info…

Negative extreme events in gross primary productivity and their drivers in China during the past three decades Open

Weizhe Chen, Dan Zhu, Chunju Huang, Philippe Ciais, Yitong Yao · 2020

Bi-Level Actor-Critic for Multi-Agent Coordination Open

Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang , et al. · 2020

Coordination is one of the essential problems in multi-agent systems. Typically multi-agent reinforcement learning (MARL) methods treat agents equally and the goal is to solve the Markov game to an arbitrary Nash equilibrium (NE) when mult…

Evaluation of measurement uncertainty of impact resistance of ceramic brick Open

Weizhe Chen · 2020

As the economy continues to grow rapidly, people's requirements for product quality are increasing year by year, including ceramic tile products, which, as a typical building material product, are widely used in various large and small bui…

Evaluation and analysis of uncertainty of wet expansion measurement of ceramic brick Open

Weizhe Chen · 2020

With the continuous and high-speed growth of economy, people's requirements on product quality are increasing year by year, including ceramic brick products, which, as a typical building materials product, are widely used in all kinds of b…

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