Search Results for author: Zhiwu Li

Found 14 papers, 1 papers with code

Heterogeneous window transformer for image denoising

1 code implementation8 Jul 2024 Chunwei Tian, Menghua Zheng, Chia-Wen Lin, Zhiwu Li, David Zhang

To make a tradeoff between distance modeling and denoising time, we propose a heterogeneous window transformer (HWformer) for image denoising.

Image Denoising

Algebraic Connectivity Control and Maintenance in Multi-Agent Networks under Attack

no code implementations26 Jun 2024 Wenjie Zhao, Diego Deplano, Zhiwu Li, Alessandro Giua, Mauro Franceschelli

This paper studies the problem of increasing the connectivity of an ad-hoc peer-to-peer network subject to cyber-attacks targeting the agents in the network.

Global and Local Error-Tolerant Decentralized State Estimation under Partially Ordered Observations

no code implementations17 Jan 2024 Dajiang Sun, Christoforos N. Hadjicostis, Zhiwu Li

Two types of errors, global errors and local errors, are proposed to describe the impact of errors on decentralized information processing.

Supervisory Control of Multi-Agent Discrete-Event Systems with Partial Observation

no code implementations19 Mar 2021 Yingying Liu, Jan Komenda, Zhiwu Li

In this paper we investigate multi-agent discrete-event systems with partial observation.

Non-Blockingness Verification of Bounded Petri Nets Using Basis Reachability Graphs -- An Extended Version With Benchmarks

no code implementations3 Mar 2021 Chao Gu, Ziyue Ma, Zhiwu Li, Alessandro Giua

In this paper, we study the problem of non-blockingness verification by tapping into the basis reachability graph (BRG).

A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes

no code implementations12 May 2020 Kaijie Xu, Witold Pedrycz, Zhiwu Li, Yinghui Quan, Weike Nie

With the information granules we build a characteristic matrix of the gene data to capture the fluctuation trend of the expression value between consecutive conditions to mine the ideal bi-clusters.

Clustering Time Series +1

Residual-driven Fuzzy C-Means Clustering for Image Segmentation

no code implementations15 Apr 2020 Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou

Due to its inferior characteristics, an observed (noisy) image's direct use gives rise to poor segmentation results.

Clustering Image Segmentation +2

Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector

no code implementations13 Apr 2020 Kaijie Xu, Witold Pedrycz, Zhiwu Li

In this paper, to enhance the quality of the degranulation (reconstruction) process, we augment the FCM-based degranulation mechanism by introducing a vector of fuzzification factors (fuzzification factor vector) and setting up an adjustment mechanism to modify the prototypes and the partition matrix.

Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix

no code implementations3 Apr 2020 Kaijie Xu, Witold Pedrycz, Zhiwu Li, Mengdao Xing

By proposing the augmented scheme, we dwell on a novel collection of granulation-degranulation mechanisms.

Clustering

Verification of Nonblockingness in Bounded Petri Nets With Minimax Basis Reachability Graphs

no code implementations31 Mar 2020 Chao Gu, Ziyue Ma, Zhiwu Li, Alessandro Giua

We construct a structure, called minimax basis reachability graph (minimax-BRG): it provides an abstract description of the reachability set of a net while preserving all information needed to test if the net is blocking.

Blocking

Kullback-Leibler Divergence-Based Fuzzy $C$-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation

no code implementations21 Feb 2020 Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou

Considering these feature sets as data of clustering, an modified FCM algorithm is proposed, which introduces a KL divergence term in the partition matrix into its objective function.

Clustering Image Segmentation +2

Residual-Sparse Fuzzy $C$-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames

no code implementations14 Feb 2020 Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou, Jun Zhao

To further enhance the segmentation effects of the improved FCM algorithm, we also employ the morphological reconstruction to smoothen the labels generated by clustering.

Clustering Image Segmentation +1

Joint State Estimation Under Attack of Discrete Event Systems

no code implementations12 Jun 2019 Qi Zhang, Carla Seatzu, Zhiwu Li, Alessandro Giua

The aim of the attacker is that of altering the state estimation of the operator.

Cryptography and Security Formal Languages and Automata Theory

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