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Pietro Lio

University of Cambridge, Department of Computer Science and Technology, UK

33 papers at tracked venues · 29 at CORE A* · active 2024–2026

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Venues

ICML ×8ICLR ×7AAAI ×6NeurIPS ×3ECAI ×2WWW ×2ACL ×1ACM MM ×1ECML-PKDD ×1EMNLP ×1ICDE ×1

Frequent coauthors

Ming Li
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Adrián Bazaga
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Urszula Julia Komorowska
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Keke Huang
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Qianru Zhang
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Christian Giannetti
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Zhongtian Sun
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Fabrizio Marozzo
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Alessio Buscemi
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James Rowbottom
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Flavio Petruzzellis
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Yixuan Ma
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Papers

  1. Autohformer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
    ICDE 2026 ·
    Qianru Zhang
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  2. High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
    AAAI 2026 ·
    Ming Li
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  3. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    AAAI 2026 ·
    Ming Li
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  4. The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions
    ACL 2026 ·
    Christian Giannetti
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  5. Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks
    WWW 2025 ·
    Zhongtian Sun
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  6. Balanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models
    ECML-PKDD 2025 ·
    Fabrizio Marozzo
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  7. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 ·
    Ming Li
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  8. EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
    ICML 2025 ·
    Ming Li
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  9. FAIRGAME: A Framework for AI Agents Bias Recognition Using Game Theory
    ECAI 2025 ·
    Alessio Buscemi
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  10. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
    ICML 2025 ·
    James Rowbottom
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  11. Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
    ICML 2025 ·
    Flavio Petruzzellis
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  12. How Particle System Theory Enhances Hypergraph Message Passing
    NeurIPS 2025 ·
    Yixuan Ma
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  13. KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
    AAAI 2025 ·
    Kaiwen Zuo
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  14. NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
    ICML 2025 ·
    Urszula Julia Komorowska
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  15. Neural Reasoning for Sure Through Constructing Explainable Models
    AAAI 2025 ·
    Tiansi Dong
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  16. SPHINX: Structural Prediction using Hypergraph Inference Network
    ICML 2025 ·
    Iulia Duta
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  17. Stochastic Encodings for Active Feature Acquisition
    ICML 2025 ·
    Alexander Luke Ian Norcliffe
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  18. SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
    ICLR 2025 ·
    Miruna T. Cretu
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  19. Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
    ICLR 2025 ·
    Richard Bergna
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  20. When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
    AAAI 2025 ·
    Ming Li
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  21. gRNAde: Geometric Deep Learning for 3D RNA inverse design
    ICLR 2025 ·
    Chaitanya K. Joshi
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  22. DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
    NeurIPS 2024 ·
    Alexander Denker
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  23. Deep Equilibrium Algorithmic Reasoning
    NeurIPS 2024 ·
    Dobrik Georgiev
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  24. Dynamics-Informed Protein Design with Structure Conditioning
    ICLR 2024 ·
    Urszula Julia Komorowska
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  25. Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
    ECAI 2024 ·
    Xiangyu Zhao
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  26. Evaluating Representation Learning on the Protein Structure Universe
    ICLR 2024 ·
    Arian Rokkum Jamasb
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  27. How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
    ICML 2024 ·
    Keke Huang
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  28. HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
    EMNLP 2024 ·
    Adrián Bazaga
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  29. Language Model Knowledge Distillation for Efficient Question Answering in Spanish
    ICLR 2024 ·
    Adrián Bazaga
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  30. Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
    WWW 2024 ·
    Keke Huang
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  31. Position: Topological Deep Learning is the New Frontier for Relational Learning
    ICML 2024 ·
    Theodore Papamarkou
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  32. TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
    ACM MM 2024 ·
    Lihao Liu
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  33. Unsupervised Pretraining for Fact Verification by Language Model Distillation
    ICLR 2024 ·
    Adrián Bazaga
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