Pietro Liò
Professor of Computational Biology
Develops AI and computational biology models, currently graph neural networks, to understand disease complexity for personalised and precision medicine.
Pietro Liò's lab at Cambridge works on medical imaging & healthcare AI, genomics & computational biology and graph learning. 167 papers since 2023, 47 at top venues, mostly ICLR and ICML. 43 alumni. Applications close .
At a glance
- papers, 2023–2026
- 44/ year
- at T1 venues
- 28%
- PhD students
- —
- MS students
- —
- alumni listed
- 43
Papers by yearfrom DBLP, 2023–2026
- 34 papers2026 · T1 9 · collecting
- 50 papers2025 · T1 14
- 38 papers2024 · T1 9
- 45 papers2023 · T1 15
T1 venuesOtherVenues: ICLR, ICML, AAAI, NeurIPS, WWW
Research focuspaper titles that use each topic's words
- Graph learning66 papers
- Medical imaging & healthcare AI2 papers
- Genomics & computational biology1 paper
- currently0 papers
- precision medicine0 papers
Paper list
From DBLP.
202634 papers
- Trans. Mach. Learn. Res.A Survey on Over-smoothing and Over-squashing: Unified Propagation Perspectives on Graph Neural Networks and Transformers (opens in a new tab)
- Information SciencesAdaptive meta-path-based neural network architecture search for heterogeneous graphs (opens in a new tab)
- Artif. Intell. MedicineAn explainable three dimensional framework to uncover learning patterns: A unified look in variable sulci recognition (opens in a new tab)
- BMC Medical Informatics Decis. Mak.Assessment of transformer-based AI in clinical oncology (opens in a new tab)
- ICDE (T1)Autohformer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction (opens in a new tab)
- Knowl. Based Syst.AutoHGNN: Robust and efficient neural architecture search for hypergraph neural networks (opens in a new tab)
- Bioinform.Bidirectional Mamba-2 boosts EEG super-resolution via regression and diffusion (opens in a new tab)
- Expert Systems with ApplicationsDefending against link prediction by residual path entropy maximization (opens in a new tab)
- IEEE Internet Things J.DVFL: A Lightweight Verifiable Federated Learning System With Dynamic Obfuscation for Resource-Constrained IoT Devices (opens in a new tab)
- AIMEECG-SurvHF: Adversarial Transformer Modeling for Heart Failure Risk Prediction (opens in a new tab)
- Future Gener. Comput. Syst.Enhancing network security using knowledge graphs and large language models for explainable threat detection (opens in a new tab)
- IJCAI/ECAIFAIRGAME: A Framework for AI Agents Bias Recognition Using Game Theory (Extended abstract) (opens in a new tab)
202550 papers
- Adv. Intell. Syst.A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes (opens in a new tab)
- Artif. Intell. MedicineA survey for large language models in biomedicine (opens in a new tab)
- IEEE Trans. Instrum. Meas.A Systematic Review of Heart Sound Detection Algorithms: Experimental Results and Insights (opens in a new tab)
- WWW (T1)Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks (opens in a new tab)
- Comput. Biol. MedicineAdvancing label-free cell classification with connectome-inspired explainable models and a novel LIVECell-CLS dataset (opens in a new tab)
- Found. Trends Mach. Learn.Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems (opens in a new tab)
- BMC Medical Informatics Decis. Mak.Assisting clinical diagnosis with interpretable fuzzy probabilistic modelling (opens in a new tab)
- ECML-PKDDBalanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models (opens in a new tab)
- AlgorithmsBayesian Binary Search (opens in a new tab)
- IEEE Trans. Mob. Comput.Biasing Federated Learning With a New Adversarial Graph Attention Network (opens in a new tab)
- Frontiers Comput. Sci.Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity? (opens in a new tab)
- IEEE AccessCorrections to "Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study" (opens in a new tab)
202438 papers
- Mach. Learn. Sci. Technol.AB C MB : deep delensing assisted likelihood-free inference from CMB polarization maps (opens in a new tab)
- NeurocomputingAdaptive multi-scale Graph Neural Architecture Search framework (opens in a new tab)
- IET Comput. Vis.ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology (opens in a new tab)
- xAICategorical Foundation of Explainable AI: A Unifying Theory (opens in a new tab)
- IEEE AccessDeep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study (opens in a new tab)
- NeurIPS (T1)Deep Equilibrium Algorithmic Reasoning (opens in a new tab)
- Trans. Mach. Learn. Res.Deep Kernel Learning of Nonlinear Latent Force Models (opens in a new tab)
- NeurIPS (T1)DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform (opens in a new tab)
- Medical Image Anal.Dual-stream multi-dependency graph neural network enables precise cancer survival analysis (opens in a new tab)
- ICLR (T1)Dynamics-Informed Protein Design with Structure Conditioning (opens in a new tab)
- GRaME(n) Equivariant Message Passing Cellular Networks (opens in a new tab)
- NeurocomputingElegans-AI: How the connectome of a living organism could model artificial neural networks (opens in a new tab)
202345 papers
- WWW (T1)A Federated Learning Benchmark for Drug-Target Interaction (opens in a new tab)
- IEEE Big DataA Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning (opens in a new tab)
- Tiny Papers @ ICLRAdaptive Distance Message Passing From the Multi-Relational Edge View (opens in a new tab)
- NeurRepsAMES: A differentiable embedding space selection framework for latent graph inference (opens in a new tab)
- IEEE/ACM Trans. Netw.An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key (opens in a new tab)
- TAG-MLBridging Equational Properties and Patterns on Graphs: an AI-Based Approach (opens in a new tab)
- xAIConcept Distillation in Graph Neural Networks (opens in a new tab)
- Eng. Appl. Artif. Intell.Controlling highway toll stations using deep learning, queuing theory, and differential evolution (opens in a new tab)
- MIDLDBGDGM: Dynamic Brain Graph Deep Generative Model (opens in a new tab)
- MIDLDBGSL: Dynamic Brain Graph Structure Learning (opens in a new tab)
- WIRNExplainable Depression Detection Using Handwriting Features (opens in a new tab)
- IEEE Trans. Medical ImagingFast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast (opens in a new tab)
Where alumni went43 listed
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
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- English
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