Yi Liu

According to our database, Yi Liu authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

9Ring: A 3D-Stacked Memory-Based Accelerator for Flexible and Efficient Deep CNN Applications.

Wen Cheng, Qianya Cheng, Yi Liu, Lingfang Zeng, André Brinkmann, Yang Wang

ACM Trans. Archit. Code Optim., June, 2025

FlashFox: a secret-sharing approach to securing data deletion for Flash-based SSD.

Wen Cheng, Shengxia Tu, Yi Liu, Lingfang Zeng, Yang Wang, André Brinkmann

Comput. J., 2025

2024

A Phenotypic Learning Classifier System for Problems with Continuous Features.

Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems.

Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Visualizations for rule-based machine learning.

Yi Liu, Will N. Browne, Bing Xue

Nat. Comput., 2022

A comparison of rule compaction algorithms for michigan style learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.

Yi Liu, Will N. Browne, Bing Xue

ACM Trans. Evol. Learn. Optim., 2021

2020

Absumption and subsumption based learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Absumption to complement subsumption in learning classifier systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Adapting Bagging and Boosting to Learning Classifier Systems.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the Applications of Evolutionary Computation, 2018

Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.

Yi Liu, Will N. Browne, Bing Xue

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.

Yi Liu, Bing Xue, Will N. Browne

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2016

Integration of code-fragment based learning classifier systems for multiple domain perception and learning.

Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne

Proceedings of the IEEE Congress on Evolutionary Computation, 2016