2 citations · 4 across the 10 of their papers we have counts for
10 papers
Theoretical Analysis on the Ability of Particle Swarm Optimization to Escape from Local Optimum
Haoxin Wang, Libao Shi
As one of the most prominent swarm intelligence algorithms, particle swarm optimization (PSO) has been extensively applied to solve global optimization problems. The theoretical an…
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting
Kunlan Xiang, Haomiao Yang, Meng Hao +7
Multivariate long-term time series forecasting (MLTSF) models are increasingly deployed in critical domains such as climate, finance, and transportation. Despite their growing impo…
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning
Kunlan Xiang, Haomiao Yang, Meng Hao +5
In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to rec…
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms
Ting Dong, Haoxin Wang, Hengxi Zhang +1
When addressing the challenge of complex multi-objective optimization problems, particularly those with non-convex and non-uniform Pareto fronts, Decomposition-based Multi-Objectiv…
Pre-insertion resistors temperature prediction based on improved WOA-SVR
Honghe Dai, Site Mo, Haoxin Wang +3
The pre-insertion resistors (PIR) within high-voltage circuit breakers are critical components and warm up by generating Joule heat when an electric current flows through them. Ele…
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
Haoxin Wang, Yipeng Mo, Kunlan Xiang +5
In the domain of multivariate time series analysis, the concept of channel independence has been increasingly adopted, demonstrating excellent performance due to its ability to eli…
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss
Site Mo, Haoxin Wang, Bixiong Li +3
Time series is a special type of sequence data, a sequence of real-valued random variables collected at even intervals of time. The real-world multivariate time series comes with n…
A theoretical framework and some promising findings of grey wolf optimizer, part II: global convergence analysis
Haoxin Wang, Libao Shi
This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…
A theoretical framework and some promising findings of grey wolf optimizer, part I: analytical model of sampling distribution and stability analysis
Haoxin Wang, Libao Shi
This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…
A Bare Bones Grey Wolf Optimizer for Global Numerical Optimization
Haoxin Wang, Libao Shi
In order to better understand and analyze the currently widely used population-based metaheuristic optimization algorithms, , this paper proposes a novel computational intelligence…