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Carlo Vittorio Cannistraci
Brain and Intelligence Laboratory
清华大学
北京
Language: 英语, 中文, 德语, 意大利语
Contact
复杂性 智能 脑启发 网络科学 人工智能 精密生物医学 神经科学 社会科学 经济科学 机器学习
Areas of Focus
  • 复杂性和智能的物理与工程
  • 脑启发的网络科学用于人工智能
  • 复杂网络智能
  • 精密生物医学
  • 神经科学
  • 社会和经济科学
Work Experience
  • 2019-2020年 - 德国德累斯顿工业大学 (TUD) 生物技术中心,分子与细胞生物工程中心 (CMCB) 首席研究员(终身研究员)
  • 2014-2018年 - 德国德累斯顿工业大学 (TUD) 生物技术中心,分子与细胞生物工程中心 (CMCB) 首席研究员(终身研究员)
  • 2013-08 至 2014-01 - 沙特阿拉伯阿卜杜拉国王科技大学研究员
  • 2010-2012年 - 沙特阿拉伯阿卜杜拉国王科技大学博士后
  • 2009-01 至 2009-12 - 美国加州大学圣地亚哥分校访问学者
  • 2006-2010年 - 意大利米兰圣拉斐尔科学研究所研究员
  • 2005-2006年 - 意大利国家研究委员会生物医学工程研究所 (ISIB-CNR,米兰系) 研究员
Academic Background & Achievements
  • 2010年 - 博士学位: 意大利都灵、米兰和巴里三所理工大学
  • 2005年 - 硕士学位: 意大利米兰理工大学
Publications
  • Neuromorphic Dendritic Computation with Silent Synapses for Visual Motion Perception, Eunye Baek, Sen Song, Zong Rong, Luping Shi, Carlo Vittorio Cannistraci, 2024
  • 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, 2024
  • Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models, Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci, 2024
  • Stealing fire or stacking knowledge’ by machine intelligence to model link prediction in complex networks, Alessandro Muscoloni and Carlo Vittorio Cannistraci, 2023
  • Geometrical congruence, greedy navigability and myopic transfer in complex networks and brain connectomes, Carlo Vittorio Cannistraci and Alessandro Muscoloni, 2022
  • Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome, Claudio Duran, Giovanni Gasbarrini, Antonio Gasbarrini & Carlo Vittorio Cannistraci, 2021
  • Modular gateway-ness connectivity and structural core organization in maritime network science, Mengqiao Xu, Qian Pan, Alessandro Muscoloni, Haoxiang Xia & Carlo Vittorio Cannistraci, 2020
  • Intrinsic plasticity of silicon nanowire neurotransistors for dynamic memory and learning functions, Eunhye Baek, Nikhil Ranjan Das, Carlo Vittorio Cannistraci, Gianaurelio Cuniberti, 2020
  • Navigability evaluation of complex networks by greedy routing efficiency, Alessandro Muscoloni & Carlo Vittorio Cannistraci, 2019
  • A nonuniform popularity-similarity optimization (nPSO) model to efficiently generate realistic complex networks with communities, Alessandro Muscoloni & Carlo Vittorio Cannistraci, 2018
  • Machine learning meets complex networks via coalescent embedding in the hyperbolic space, Alessandro Muscoloni, Ginestra Bianconi & Carlo Vittorio Cannistraci, 2017
  • Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks, Simone Daminelli, Josephine Maria Thomas, Claudio Durán & Carlo Vittorio Cannistraci, 2015
  • From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi, 2013
  • Spatial Reconstruction of Oligo and Single Cells by De Novo Coalescent Embedding of Transcriptomic Networks, Y Zhao, S Zhang, J Xu, Y Yu, G Peng, CV Cannistraci, JDJ Han, 2023
  • Prevalence, Characteristics, and Outcomes of COVID-19–Associated Acute Myocarditis, E Ammirati, L Lupi, M Palazzini, NS Hendren, JL Grodin, CV Cannistraci, Marco Metra, 2022
  • Proprotein convertase subtilisin/kexin 9 (PCSK9) promotes macrophage activation via LDL receptor-independent mechanisms, Shunsuke Katsuki, Carlo V. Cannistraci, Masanori Aikawa, 2022
  • Three-dimensional facial-image analysis to predict heterogeneity of the human ageing rate and the impact of lifestyle, Xian Xia, Carlo Vittorio Cannistraci, Yong Zhou & Jing-Dong J Han, 2020
  • Machine learning of human plasma lipidomes for obesity estimation in a large population cohort, Mathias J Gerl, Carlo Vittorio Cannistraci and Kai Simons, 2019
  • Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory, Claudio Durán, Simone Daminelli, Carlo Vittorio Cannistraci, 2018
  • A promoter-level mammalian expression atlas, Fantom Consortium (including Carlo Vittorio Cannistraci), 2014
  • Differential roles of epigenetic changes and Foxp3 expression in regulatory T cell-specific transcriptional regulation, Fantom Consortium (including Carlo Vittorio Cannistraci), 2014
  • Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding, Carlo Vittorio Cannistraci, Gregorio Alanis-Lobato, Timothy Ravasi, 2013
  • Identification and Predictive Value of Interleukin-6+ Interleukin-10+ and Interleukin-6− Interleukin-10+ Cytokine Patterns in ST-Elevation Acute Myocardial Infarction, Enrico Ammirati, Carlo Vittorio Cannistraci, Attilio Maseri, 2012
  • Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes, CV Cannistraci, T Ravasi, FM Montevecchi, T Ideker, M Alessio, 2010
  • An atlas of combinatorial transcriptional regulation in mouse and man, Timoty Ravasi, Harukazu Suzuki, Carlo Vittorio Cannistraci, 2010
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