| 2026 | AAAI | How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation. | Zinuo You, Jin Zheng, John Cartlidge |
| 2026 | ICAART | BondBERT: What We Learn when Assigning Sentiment in the Bond Market. | Toby Barter, Zheng Gao, Eva Christodoulaki, Jing Chen, John Cartlidge |
| 2025 | ECAI | Cross-Modal Temporal Fusion for Financial Market Forecasting. | Yunhua Pei, John Cartlidge, Anandadeep Mandal, Daniel Gold, Enrique Marcilio, Riccardo Mazzon |
| 2025 | ICAART | Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations. | Yunhua Pei, Jin Zheng, John Cartlidge |
| 2025 | ICAART | DGRCL: A Dynamic Contrastive Graph Learning Framework for Modeling Stock Market Evolution. | Yunhua Pei, Jin Zheng, John Cartlidge |
| 2024 | ICAART | DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2024 | ICAART | Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2024 | ICASSP | Multi-Relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification. | Zinuo You, Pengju Zhang, Jin Zheng, John Cartlidge |
| 2022 | CEC | Exploration of Ontological Representations for Evolutionary Computation. | Hugo Alcaraz-Herrera, John Cartlidge |
| 2022 | FC | Kicking-the-Bucket: Fast Privacy-Preserving Trading Using Buckets. | Mariana Botelho da Gama, John Cartlidge, Antigoni Polychroniadou, Nigel P. Smart, Younes Talibi Alaoui |
| 2022 | KDD | State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation. | Zijian Shi, John Cartlidge |
| 2021 | AAAI | The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. | Zijian Shi, Yu Chen, John Cartlidge |
| 2021 | IJCCI | Substitution of the Fittest: A Novel Approach for Mitigating Disengagement in Coevolutionary Genetic Algorithms. | Hugo Alcaraz-Herrera, John Cartlidge |
| 2020 | ICAART | Fools Rush In: Competitive Effects of Reaction Time in Automated Trading. | Henry Hanifan, John Cartlidge |
| 2020 | ICAART | Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders. | Henry Hanifan, Ben Watson, John Cartlidge, Dave Cliff |
| 2019 | CCS | MPC Joins The Dark Side. | John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui |
| 2014 | ICAART | Trading Experiments using Financial Agents in a Simulated Cloud Computing Commodity Market. | John Cartlidge |
| 2013 | CLOSER | Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit - The Three Truths of Cloud Computing are: Hardware Fails, Software has Bugs, and People Make Mistakes. | John Cartlidge, Dave Cliff |
| 2013 | ICAART | Evidencing the "Robot Phase Transition" in Human-agent Experimental Financial Markets. | John Cartlidge, Dave Cliff |
| 2013 | ICAART | Exploring Assignment-Adaptive (ASAD) Trading Agents in Financial Market Experiments. | Steve Stotter, John Cartlidge, Dave Cliff |
| 2012 | ICAART | Too Fast Too Furious - Faster Financial-market Trading Agents Can Give Less Efficient Markets. | John Cartlidge, Charlotte Szostek, Marco De Luca, Dave Cliff |
| 2008 | ALIFE | Dynamically adapting parasite virulence to combat coevolutionary disengagement. | John Cartlidge |
| 2002 | CEC | Learning lessons from the common cold: How reducing parasite virulence improves coevolutionary optimization. | John Cartlidge, Seth Bullock |