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Yingtao Zhang

As seen in: MDPI
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Articles

Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction

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By Jialin Zhao, Alessandro Muscoloni, Umberto Michieli, Yingtao Zhang
| preprints.org
Submitted: 02 January 2026 You are already at the latest version Many complex networks have partially observed or evolving connectivity, making link prediction a fundamental task. Topological link prediction infers missing links using only network topology, with applications in social, biological, and technological systems.
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A Generalized Logistic‐Logit Function and Its Application to Multi‐Layer Perceptron and Neuron Segmentation

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By Wenqi Gu, Yingtao Zhang, Alessandro Muscoloni, Carlo Vittorio Cannistraci
| preprints.org
This version is not peer-reviewed. Wenqi Gu ,Yingtao Zhang ,Alessandro Muscoloni ,Carlo Vittorio Cannistraci  * Wenqi Gu ,Yingtao Zhang ,Alessandro Muscoloni ,Carlo Vittorio Cannistraci  * Submitted: 30 October 2025 You are already at the latest version Logistic and logit functions play important roles in modern science, serving as foundational tools in various applications including artificial neural network (ANN).
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Alignment-Enhanced Integration of Connectivity and Spectral Sparsity in Dynamic Sparse Training of LLM

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By Wenjing Wu, Yingtao Zhang, Jialin Zhao, Carlo Vittorio Cannistraci
| preprints.org
This version is not peer-reviewed. Wenjing Wu,Yingtao Zhang  *,Jialin Zhao,Carlo Vittorio Cannistraci  * Wenjing Wu,Yingtao Zhang  *,Jialin Zhao,Carlo Vittorio Cannistraci  * Submitted: 24 October 2025 You are already at the latest version With the rapid development of large language models (LLMs), identifying efficient strategies for training such large-scale systems has become increasingly critical.
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