| 2024 | ICML | Graph Automorphism Group Equivariant Neural Networks. | Edward Pearce-Crump, William J. Knottenbelt |
| 2024 | IJCAI | Offline Reinforcement Learning with Behavioral Supervisor Tuning. | Padmanaba Srinivasan, William J. Knottenbelt |
| 2023 | AFT | Pay Less for Your Privacy: Towards Cost-Effective On-Chain Mixers. | Zhipeng Wang, Marko Cirkovic, Duc Viet Le, William J. Knottenbelt, Christian Cachin |
| 2023 | EUSPN | ContractArmor: Attack Surface Generator for Smart Contracts. | Ferda zdemir Snmez, William J. Knottenbelt |
| 2022 | AFT | SoK: Decentralized Finance (DeFi). | Sam Werner, Daniel Perez, Lewis Gudgeon, Ariah Klages-Mundt, Dominik Harz, William J. Knottenbelt |
| 2021 | CVPR | Three Gaps for Quantisation in Learned Image Compression. | Shi Pan, Chris Finlay, Chri Besenbruch, William J. Knottenbelt |
| 2021 | FC | SoK: Communication Across Distributed Ledgers. | Alexei Zamyatin, Mustafa Al-Bassam, Dionysis Zindros, Eleftherios Kokoris-Kogias, Pedro Moreno-Sanchez, Aggelos Kiayias, William J. Knottenbelt |
| 2021 | MICCAI | Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions. | Quok Zong Chong, William J. Knottenbelt, Kanwal K. Bhatia |
| 2020 | AFT | DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency. | Lewis Gudgeon, Sam Werner, Daniel Perez, William J. Knottenbelt |
| 2020 | ESORICS | TxChain: Efficient Cryptocurrency Light Clients via Contingent Transaction Aggregation. | Alexei Zamyatin, Zeta Avarikioti, Daniel Perez, William J. Knottenbelt |
| 2019 | CCS | Balance: Dynamic Adjustment of Cryptocurrency Deposits. | Dominik Harz, Lewis Gudgeon, Arthur Gervais, William J. Knottenbelt |
| 2019 | SP | XCLAIM: Trustless, Interoperable, Cryptocurrency-Backed Assets. | Alexei Zamyatin, Dominik Harz, Joshua Lind, Panayiotis Panayiotou, Arthur Gervais, William J. Knottenbelt |
| 2018 | FC | A Wild Velvet Fork Appears! Inclusive Blockchain Protocol Changes in Practice - (Short Paper). | Alexei Zamyatin, Nicholas Stifter, Aljosha Judmayer, Philipp Schindler, Edgar R. Weippl, William J. Knottenbelt |
| 2017 | CVPR | Deep Learning for Domain-Specific Action Recognition in Tennis. | Silvia Vinyes Mora, William J. Knottenbelt |
| 2017 | MASCOTS | Swimming with Fishes and Sharks: Beneath the Surface of Queue-Based Ethereum Mining Pools. | Alexei Zamyatin, Katinka Wolter, Sam Werner, Peter G. Harrison, Catherine E. A. Mulligan, William J. Knottenbelt |
| 2016 | DEXA | Benchmarking Replication in Cassandra and MongoDB NoSQL Datastores. | Gerard Haughian, Rasha Osman, William J. Knottenbelt |
| 2015 | MASCOTS | CloudScope: Diagnosing and Managing Performance Interference in Multi-tenant Clouds. | Xi Chen, Lukas Rupprecht, Rasha Osman, Peter R. Pietzuch, Felipe Franciosi, William J. Knottenbelt |
| 2015 | SENSYS | Neural NILM: Deep Neural Networks Applied to Energy Disaggregation. | Jack Kelly, William J. Knottenbelt |
| 2014 | COMPSAC | Metadata for Energy Disaggregation. | Jack Kelly, William J. Knottenbelt |
| 2014 | SENSYS | NILMTK v0.2: a non-intrusive load monitoring toolkit for large scale data sets: demo abstract. | Jack Kelly, Nipun Batra, Oliver Parson, Haimonti Dutta, William J. Knottenbelt, Alex Rogers, Amarjeet Singh, Mani B. Srivastava |
| 2014 | UIC | Self-Adaptive Containers: Interoperability Extensions and Cloud Integration. | Wei-Chih Huang, William J. Knottenbelt |
| 2013 | ICSE | Self-adaptive containers: building resource-efficient applications with low programmer overhead. | Wei-Chih Huang, William J. Knottenbelt |
| 2012 | EuroPar | Topic 2: Performance Prediction and Evaluation. | Allen D. Malony, Helen D. Karatza, William J. Knottenbelt, Sally A. McKee |
| 2009 | ECMS | Towards The Automated Inference Of Queueing Network Models From High-Precision Location Tracking Data. | Tzu-Ching Horng, Nicholas J. Dingle, Adam Jackson, William J. Knottenbelt |
| 2008 | MASCOTS | Modelling and Validation of Response Times in Zoned RAID. | Abigail S. Lebrecht, Nicholas J. Dingle, William J. Knottenbelt |
| 2006 | MASCOTS | Performance Trees: A New Approach to Quantitative Performance Specification. | Tamas Suto, Jeremy T. Bradley, William J. Knottenbelt |
| 2004 | ISPDC | A Parallel Algorithm for Multilevel k-Way Hypergraph Partitioning. | Aleksandar Trifunovic, William J. Knottenbelt |
| 2003 | MASCOTS | Derivation of Passage-time Densities in PEPA Models using ipc: the Imperial PEPA Compiler. | Jeremy T. Bradley, Nicholas J. Dingle, Stephen T. Gilmore, William J. Knottenbelt |
| 2003 | PDPTA | HYDRA: HYpergraph-Based Distributed Response-Time Analyzer. | Nicholas J. Dingle, Peter G. Harrison, William J. Knottenbelt |
| 2002 | SIGMETRICS | Passage time distributions in large Markov chains. | Peter G. Harrison, William J. Knottenbelt |