19 citations · 21 across the 8 of their papers we have counts for
8 papers
TongueReenact: Geometry-Anchored Tongue Synthesis for Face Reenactment
MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang +2
Modern face reenactment systems achieve impressive pose and expression transfer using geometry-driven representations. However, they largely ignore tongue dynamics, leading to anat…
Split and Drive: Dual-Axis Disentanglement for Real-Time Gaussian Head Avatars
MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang +2
Creating photorealistic animatable head avatars from a single image remains a fundamental challenge in digital human synthesis. While recent 3D Gaussian Splatting methods have achi…
InstaFace: Identity-Preserving Facial Editing with Single Image Inference
MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang +3
Facial appearance editing is crucial for digital avatars, AR/VR, and personalized content creation, driving realistic user experiences. However, preserving identity with generative…
Applicability of the Minimal Dominating Set for Influence Maximization in Multilayer Networks
Michał Czuba, Mingshan Jia, Piotr Bródka +1
The minimal dominating set (MDS) is a well-established concept in network controllability and has been successfully applied in various domains, including sensor placement, network…
Network Diffusion -- Framework to Simulate Spreading Processes in Complex Networks
Michał Czuba, Mateusz Nurek, Damian Serwata +5
With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of…
Network Disruption via Continuous Batch Removal: The Case of Sicilian Mafia
Mingshan Jia, Pasquale De Meo, Bogdan Gabrys +1
Network disruption is pivotal in understanding the robustness and vulnerability of complex networks, which is instrumental in devising strategies for infrastructure protection, epi…
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
The mining and exploitation of graph structural information have been the focal points in the study of complex networks. Traditional structural measures in Network Science focus on…
Measuring Quadrangle Formation in Complex Networks
Mingshan Jia, Bogdan Gabrys, Katarzyna Musial
The classic clustering coefficient and the lately proposed closure coefficient quantify the formation of triangles from two different perspectives, with the focal node at the centr…