Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. - Carlos Eiras-Franco; Leslie Kanthan; Amparo Alonso-Betanzos; David Martínez-Rego (ESANN, 2017)

Optimising Darwinian Data Structures on Google Guava. - Michail Basios; Lingbo Li 001; Fan Wu 009; Leslie Kanthan; Earl T. Barr (SSBSE, 2017)

Darwinian Data Structure Selection. - Michail Basios; Lingbo Li 001; Fan Wu 009; Leslie Kanthan; Donald Lawrence; Earl T. Barr (CoRR, 2017)

Darwinian data structure selection. - Michail Basios; Lingbo Li 001; Fan Wu 009; Leslie Kanthan; Earl T. Barr (ESEC/SIGSOFT FSE, 2018)

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (CoRR, 2019)

Efficient graph construction for similarity search on high dimensional data. - Leslie Kanthan (2019)

Checkers: Multi-modal Darwinian API Optimisation. - Santanu Kumar Dash 001; Fan Wu 009; Michail Basios; Lingbo Li 001; Leslie Kanthan (ICSE (Workshops), 2020)

Clone Detection on Large Scala Codebases. - Wahidur Rahman; Yisen Xu; Fan Pu; Jifeng Xuan; Xiangyang Jia; Michail Basios; Leslie Kanthan; Lingbo Li 001; Fan Wu 009; Baowen Xu (IWSC, 2020)

Ascertaining price formation in cryptocurrency markets with DeepLearning. - Fan Fang; Waichung Chung; Carmine Ventre; Michail Basios; Leslie Kanthan; Lingbo Li 001; Fan Wu 009 (CoRR, 2020)

Cryptocurrency Trading: A Comprehensive Survey. - Fan Fang; Carmine Ventre; Michail Basios; Hoiliong Kong; Leslie Kanthan; Lingbo Li 001; David Martínez-Rego; Fan Wu 009 (CoRR, 2020)

IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning. - Yuxi Huan; Fan Wu 009; Michail Basios; Leslie Kanthan; Lingbo Li 001; Baowen Xu (CoRR, 2020)

Better Model Selection with a new Definition of Feature Importance. - Fan Fang; Carmine Ventre; Lingbo Li 001; Leslie Kanthan; Fan Wu 009; Michail Basios (CoRR, 2020)

Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. - Carlos Eiras-Franco; David Martínez-Rego; Leslie Kanthan; César Piñeiro; Antonio Bahamonde; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (ACM Trans. Intell. Syst. Technol., 2020)

Call Markets with Adaptive Clearing Intervals. - Buhong Liu; Maria Polukarov; Carmine Ventre; Lingbo Li 001; Leslie Kanthan (AAMAS, 2021)

Agent-based markets: equilibrium strategies and robustness. - Buhong Liu; Maria Polukarov; Carmine Ventre; Lingbo Li 001; Leslie Kanthan (ICAIF, 2021)

Universal Adversarial Robustness of Texture and Shape-Biased Models. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Ben Glocker; Emil C. Lupu (ICIP, 2021)

Real-time Detection of Practical Universal Adversarial Perturbations. - Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Emil C. Lupu (CoRR, 2021)

The Spoofing Resistance of Frequent Call Markets. - Buhong Liu; Maria Polukarov; Carmine Ventre; Lingbo Li 001; Leslie Kanthan; Fan Wu 009; Michail Basios (AAMAS, 2022)

evoML Yellow Paper: Evolutionary AI and Optimisation Studio. - Lingbo Li 001; Leslie Kanthan; Michail Basios; Fan Wu 009; Manal Adham; Vitali Avagyan; Alexis Butler; Paul Brookes; Rafail Giavrimis; Buhong Liu; Chrystalla Pavlou; Matthew Truscott; et al. (CoRR, 2022)

Language Models for Code Optimization: Survey, Challenges and Future Directions. - Jingzhi Gong; Vardan Voskanyan; Paul Brookes; Fan Wu 009; Wei Jie; Jie Xu 007; Rafail Giavrimis; Mike Basios; Leslie Kanthan; Zheng Wang 001 (CoRR, 2025)

Tuning LLM-based Code Optimization via Meta-Prompting: An Industrial Perspective. - Jingzhi Gong; Rafail Giavrimis; Paul Brookes; Vardan Voskanyan; Fan Wu 009; Mari Ashiga; Matthew Truscott; Mike Basios; Leslie Kanthan; Jie Xu 007; Zheng Wang 001 (CoRR, 2025)

Industrial LLM-based Code Optimization under Regulation: A Mixture-of-Agents Approach. - Mari Ashiga; Vardan Voskanyan; Fateme Dinmohammadi; Jingzhi Gong; Paul Brookes; Matthew Truscott; Rafail Giavrimis; Mike Basios; Leslie Kanthan; Wei Jie (CoRR, 2025)