Carlo Vittorio Cannistraci

Full Professor, Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Tsinghua University

Joined

May 2022

Names

Carlo Vittorio Cannistraci (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Full Professor

Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2021 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

sparse training

2010 – 2024

network science

2010 – 2024

brain-inspired computing

2010 – 2024

computational biology

2010 – 2024

Publications

Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected
Jialin Zhao, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci
- OpenReview Archive Direct Upload
- Readers: Everyone
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci
- OpenReview Archive Direct Upload
- Readers: Everyone
Cannistraci-Hebb Training with N:M Semi-Structured Sparsity for Pre-Training and Re-Training
Jiaqing Lyu, Ruijie Wang, Kangyou Bao, Yingtao Zhang, Carlo Vittorio Cannistraci
- CPAL 2026 (Proceedings Track) Poster
- Readers: Everyone
From Transformer to Transponder: Introducing Contextual Modulation Training for Residual Learning in LLMs
Yingtao Zhang, Wenqi Gu, Wen Hu, Jianguo Li, Carlo Vittorio Cannistraci
- Submitted to ICLR 2026
- Readers: Everyone
Network Shape Automata: a brain network inspired collaborative filter for link prediction in bipartite complex networks and recommendation systems
Wenjing Wu, Yingtao Zhang, Jialin Zhao, Carlo Vittorio Cannistraci
- Submitted to ICLR 2026
- Readers: Everyone
Alignment-Enhanced Integration of Connectivity and Spectral Sparsity in Dynamic Sparse Training of LLM
Wenjing Wu, Yingtao Zhang, Jialin Zhao, Carlo Vittorio Cannistraci
- ICLR 2026 Poster
- Readers: Everyone
Conversion of sparse Artificial Neural Network to sparse Spiking Neural Network can save up to 99% of energy
Kangyou Bao, Wenqi Gu, Carlo Vittorio Cannistraci
- Submitted to ICLR 2026
- Readers: Everyone
A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
Yue Wu, Jialin Zhao, Carlo Vittorio Cannistraci
- ICLR 2026 Poster
- Readers: Everyone
A Dendritic-Inspired Network Science Generative Model for Topological Initialization of Connectivity in Sparse Artificial Neural Networks
Diego Cerretti, Yingtao Zhang, Carlo Vittorio Cannistraci
- Submitted to ICLR 2026
- Readers: Everyone
Latent Geometry-Driven Network Automata for Complex Network Dismantling
Thomas Adler, Marco Grassia, Ziheng Liao, Giuseppe Mangioni, Carlo Vittorio Cannistraci
- ICLR 2026 Poster
- Readers: Everyone

View all 48 publications

Co-Authors

View all 321 co-authors