5 citations · 7 across the 27 of their papers we have counts for
4 papers · 1 filter
Quantum Incremental Learning with Mixed State Prototypes
Yu Wu, Qianli Zhou, Xinyang Deng +3
Incremental learning models are required to learn new classes sequentially without catastrophic forgetting, while operating under parameter and memory constraints. In the Noisy Int…
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
Jie Zhao, Kang Hao Cheong, Witold Pedrycz
Graph-structured combinatorial challenges are inherently difficult due to their nonlinear and intricate nature, often rendering traditional computational methods ineffective or exp…
Linguistic Fuzzy Information Evolution with Random Leader Election Mechanism for Decision-Making Systems
Qianlei Jia, Witold Pedrycz
Linguistic fuzzy information evolution is crucial in understanding information exchange among agents. However, different agent weights may lead to different convergence results in…
An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
Zhuolin Li, Zhen Zhang, Witold Pedrycz
This paper introduces a novel incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting (MCS) problems, enabling…