Yi Liu

13 papers A 3B 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
9Ring: A 3D-Stacked Memory-Based Accelerator for Flexible and Efficient Deep CNN Applications.
ACM Trans. Archit. Code Optim.
Wen Cheng, Qianya Cheng, Yi Liu, Lingfang Zeng, André Brinkmann, Yang Wang
2025 J jnl
FlashFox: a secret-sharing approach to securing data deletion for Flash-based SSD.
Comput. J.
Wen Cheng, Shengxia Tu, Yi Liu, Lingfang Zeng, Yang Wang, André Brinkmann
2024 A conf
A Phenotypic Learning Classifier System for Problems with Continuous Features.
GECCO
Yi Liu, Yu Cui, Wen Cheng, Will Neil Browne, Bing Xue, Chengyuan Zhu, Yiding Zhang, Mingkai Sheng, Lingfang Zeng
2023 — conf
Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems.
GECCO Companion
Yi Liu, Yu Cui, Will N. Browne, Bing Xue, Wen Cheng, Yong Li, Lingfang Zeng
2022 — conf
A comparison of rule compaction algorithms for michigan style learning classifier systems.
GECCO Companion
Yi Liu, Will N. Browne, Bing Xue
2022 J jnl
Visualizations for rule-based machine learning.
Nat. Comput.
Yi Liu, Will N. Browne, Bing Xue
2021 J jnl
A Comparison of Learning Classifier Systems' Rule Compaction Algorithms for Knowledge Visualization.
ACM Trans. Evol. Learn. Optim.
Yi Liu, Will N. Browne, Bing Xue
2020 A conf
Absumption and subsumption based learning classifier systems.
GECCO
Yi Liu, Will N. Browne, Bing Xue
2019 A conf
Absumption to complement subsumption in learning classifier systems.
GECCO
Yi Liu, Will N. Browne, Bing Xue
2018 B conf
Adapting Bagging and Boosting to Learning Classifier Systems.
EvoApplications
Yi Liu, Will N. Browne, Bing Xue
2018 — conf
Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches.
Australasian Conference on Artificial Intelligence
Yi Liu, Will N. Browne, Bing Xue
2017 — conf
Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning.
SEAL
Yi Liu, Bing Xue, Will N. Browne
2016 B conf
Integration of code-fragment based learning classifier systems for multiple domain perception and learning.
CEC
Yi Liu, Muhammad Iqbal, Isidro M. Alvarez, Will N. Browne