PPaperPicks

Pietro Lio

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

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

DBLP profile ↗ORCID 0000-0002-0540-5053 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Ming Li
×6
Yujie Fang
×4
Lu Bai
×4
Simon V. Mathis
×4
Xiaosheng Zhuang
×3
Yi Wang
×3
Urszula Julia Komorowska
×3
Francisco Vargas
×3
Mateja Jamnik
×3
Charles Harris
×3
Kieran Didi
×3
Adrián Bazaga
×3

Papers

  1. Autohformer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
    ICDE 2026 ·
    Qianru Zhang
    ,
    Honggang Wen
    ,
    Ming Li
    ,
    Dong Huang
    ,
    Siu-Ming Yiu
    ,
    Christian S. Jensen
    , Pietro Liò
  2. High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
    AAAI 2026 ·
    Ming Li
    ,
    Yujie Fang
    ,
    Dongrui Shen
    ,
    Han Feng
    ,
    Xiaosheng Zhuang
    ,
    Kelin Xia
    , Pietro Lio
  3. Permutation Equivariant Framelet-based Hypergraph Neural Networks
    AAAI 2026 ·
    Ming Li
    ,
    Yi Wang
    ,
    Chengling Gao
    ,
    Lu Bai
    ,
    Yujie Fang
    ,
    Xiaosheng Zhuang
    , Pietro Lio
  4. The Mechanics of Interference: Defusing Distractors in RAG via Sparse Autoencoder Interventions
    ACL 2026 ·
    Christian Giannetti
    ,
    Giovanni Trappolini
    ,
    Nicola Tonellotto
    ,
    Fabrizio Silvestri
    , Pietro Lio
  5. Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks
    WWW 2025 ·
    Zhongtian Sun
    ,
    Anoushka Harit
    ,
    Jongmin Yu
    ,
    Jingyun Wang
    , Pietro Liò
  6. Balanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models
    ECML-PKDD 2025 ·
    Fabrizio Marozzo
    ,
    Loris Belcastro
    ,
    Cristian Cosentino
    , Pietro Liò
  7. Deep Hypergraph Neural Networks with Tight Framelets
    AAAI 2025 ·
    Ming Li
    ,
    Yujie Fang
    ,
    Yi Wang
    ,
    Han Feng
    ,
    Yongchun Gu
    ,
    Lu Bai
    , Pietro Liò
  8. EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
    ICML 2025 ·
    Ming Li
    ,
    Yukang Cheng
    ,
    Lu Bai
    ,
    Feilong Cao
    ,
    Ke Lv
    ,
    Jiye Liang
    , Pietro Lio
  9. FAIRGAME: A Framework for AI Agents Bias Recognition Using Game Theory
    ECAI 2025 ·
    Alessio Buscemi
    ,
    Daniele Proverbio
    ,
    Alessandro Di Stefano
    ,
    The Anh Han
    ,
    German Castignani
    , Pietro Liò
  10. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
    ICML 2025 ·
    James Rowbottom
    ,
    Georg Maierhofer
    ,
    Teo Deveney
    ,
    Eike Hermann Müller
    ,
    Alberto Paganini
    ,
    Katharina Schratz
    , Pietro Lio,
    Carola-Bibiane Schönlieb
    ,
    Chris J. Budd
  11. Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
    ICML 2025 ·
    Flavio Petruzzellis
    ,
    Cristina Cornelio
    , Pietro Lio
  12. How Particle System Theory Enhances Hypergraph Message Passing
    NeurIPS 2025 ·
    Yixuan Ma
    ,
    Kai Yi
    , Pietro Lió,
    Shi Jin
    ,
    Yuguang Wang
  13. KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
    AAAI 2025 ·
    Kaiwen Zuo
    ,
    Yirui Jiang
    ,
    Fan Mo
    , Pietro Lio
  14. NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
    ICML 2025 ·
    Urszula Julia Komorowska
    ,
    Francisco Vargas
    ,
    Alessandro Rondina
    , Pietro Lio,
    Mateja Jamnik
  15. Neural Reasoning for Sure Through Constructing Explainable Models
    AAAI 2025 ·
    Tiansi Dong
    ,
    Mateja Jamnik
    , Pietro Liò
  16. SPHINX: Structural Prediction using Hypergraph Inference Network
    ICML 2025 ·
    Iulia Duta
    , Pietro Lio
  17. Stochastic Encodings for Active Feature Acquisition
    ICML 2025 ·
    Alexander Luke Ian Norcliffe
    ,
    Changhee Lee
    ,
    Fergus Imrie
    ,
    Mihaela van der Schaar
    , Pietro Lio
  18. SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
    ICLR 2025 ·
    Miruna T. Cretu
    ,
    Charles Harris
    ,
    Ilia Igashov
    ,
    Arne Schneuing
    ,
    Marwin H. S. Segler
    ,
    Bruno E. Correia
    ,
    Julien Roy
    ,
    Emmanuel Bengio
    , Pietro Lio
  19. Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
    ICLR 2025 ·
    Richard Bergna
    ,
    Sergio Calvo-Ordoñez
    ,
    Felix L. Opolka
    , Pietro Lio,
    José Miguel Hernández-Lobato
  20. When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
    AAAI 2025 ·
    Ming Li
    ,
    Yongchun Gu
    ,
    Yi Wang
    ,
    Yujie Fang
    ,
    Lu Bai
    ,
    Xiaosheng Zhuang
    , Pietro Liò
  21. gRNAde: Geometric Deep Learning for 3D RNA inverse design
    ICLR 2025 ·
    Chaitanya K. Joshi
    ,
    Arian Rokkum Jamasb
    ,
    Ramón Viñas Torné
    ,
    Charles Harris
    ,
    Simon V. Mathis
    ,
    Alex Morehead
    ,
    Rishabh Anand
    , Pietro Lio
  22. DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
    NeurIPS 2024 ·
    Alexander Denker
    ,
    Francisco Vargas
    ,
    Shreyas Padhy
    ,
    Kieran Didi
    ,
    Simon V. Mathis
    ,
    Riccardo Barbano
    ,
    Vincent Dutordoir
    ,
    Emile Mathieu
    ,
    Urszula Julia Komorowska
    , Pietro Lió
  23. Deep Equilibrium Algorithmic Reasoning
    NeurIPS 2024 ·
    Dobrik Georgiev
    ,
    Joseph Wilson
    ,
    Davide Buffelli
    , Pietro Lió
  24. Dynamics-Informed Protein Design with Structure Conditioning
    ICLR 2024 ·
    Urszula Julia Komorowska
    ,
    Simon V. Mathis
    ,
    Kieran Didi
    ,
    Francisco Vargas
    , Pietro Lio,
    Mateja Jamnik
  25. Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation
    ECAI 2024 ·
    Xiangyu Zhao
    ,
    Zehui Li
    ,
    Mingzhu Shen
    ,
    Guy-Bart Stan
    , Pietro Liò,
    Yiren Zhao
  26. Evaluating Representation Learning on the Protein Structure Universe
    ICLR 2024 ·
    Arian Rokkum Jamasb
    ,
    Alex Morehead
    ,
    Chaitanya K. Joshi
    ,
    Zuobai Zhang
    ,
    Kieran Didi
    ,
    Simon V. Mathis
    ,
    Charles Harris
    ,
    Jian Tang
    ,
    Jianlin Cheng
    , Pietro Lio,
    Tom L. Blundell
  27. How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
    ICML 2024 ·
    Keke Huang
    ,
    Yu Guang Wang
    ,
    Ming Li
    , Pietro Lio
  28. HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
    EMNLP 2024 ·
    Adrián Bazaga
    , Pietro Lio,
    Gos Micklem
  29. Language Model Knowledge Distillation for Efficient Question Answering in Spanish
    ICLR 2024 ·
    Adrián Bazaga
    , Pietro Lio,
    Gos Micklem
  30. Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
    WWW 2024 ·
    Keke Huang
    ,
    Wencai Cao
    ,
    Hoang Ta
    ,
    Xiaokui Xiao
    , Pietro Liò
  31. Position: Topological Deep Learning is the New Frontier for Relational Learning
    ICML 2024 ·
    Theodore Papamarkou
    ,
    Tolga Birdal
    ,
    Michael M. Bronstein
    ,
    Gunnar E. Carlsson
    ,
    Justin Curry
    ,
    Yue Gao
    ,
    Mustafa Hajij
    ,
    Roland Kwitt
    , Pietro Lio,
    Paolo Di Lorenzo
    ,
    Vasileios Maroulas
    ,
    Nina Miolane
    ,
    Farzana Nasrin
    ,
    Karthikeyan Natesan Ramamurthy
    ,
    Bastian Rieck
    ,
    Simone Scardapane
    ,
    Michael T. Schaub
    ,
    Petar Velickovic
    ,
    Bei Wang
    ,
    Yusu Wang
    ,
    Guo-Wei Wei
    ,
    Ghada Zamzmi
  32. TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
    ACM MM 2024 ·
    Lihao Liu
    ,
    Yanqi Cheng
    ,
    Zhongying Deng
    ,
    Shujun Wang
    ,
    Dongdong Chen
    ,
    Xiaowei Hu
    , Pietro Liò,
    Carola-Bibiane Schönlieb
    ,
    Angelica I. Avilés-Rivero
  33. Unsupervised Pretraining for Fact Verification by Language Model Distillation
    ICLR 2024 ·
    Adrián Bazaga
    , Pietro Lio,
    Gos Micklem