papers

Publications (12)

cs.LG2020

Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization

Yuqi Cui, Jian Huang, Dongrui Wu

Takagi-Sugeno-Kang (TSK) fuzzy systems are flexible and interpretable machine learning models; however, they may not be easily optimized when the data size is large, and/or the dat…

cs.LG2020

Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers

Yuqi Cui, Huidong Wang, Dongrui Wu

Fuzzy c-means based clustering algorithms are frequently used for Takagi-Sugeno-Kang (TSK) fuzzy classifier antecedent parameter estimation. One rule is initialized from each clust…

q-bio.QM2019

In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics

Bo Zhang, Yuqi Cui, Meng Wang +3

Tens of millions of women suffer from infertility worldwide each year. In vitro fertilization (IVF) is the best choice for many such patients. However, IVF is expensive, time-consu…

cs.LG2021

Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions

Yuqi Cui, Dongrui Wu, Yifan Xu

Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions (MFs) is one of the most widely used fuzzy systems in machine learning. However, it usually has difficulty…

eess.IV2019

Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos

Zihan Liu, Bo Huang, Yuqi Cui +6

Time-lapse is a technology used to record the development of embryos during in-vitro fertilization (IVF). Accurate classification of embryo early development stages can provide emb…

cs.CV2018

OMG - Emotion Challenge Solution

Yuqi Cui, Xiao Zhang, Yang Wang +2

This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate co…

physics.app-ph2022

Spontaneous Radiative Cooling to Enhance the Operational Stability of Perovskite Solar Cells via a Black-body-like Full Carbon Electrode

Bingcheng Yu, Jiangjian Shi, Yiming Li +7

Operational stability of perovskite solar cells is remarkably influenced by the device temperature, therefore, decreasing the interior temperature of the device is one of the most…

cs.AI2026

ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control

Zhentao Tang, Yuqi Cui, Shixiong Kai +10

Expert-level scientific reasoning remains challenging for large language models, particularly on benchmarks such as Humanity's Last Exam (HLE), where rigid tool pipelines, brittle…

cs.HC2018

EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks

Yuqi Cui, Dongrui Wu

Deep learning, including convolutional neural networks (CNNs), has started finding applications in brain-computer interfaces (BCIs). However, so far most such approaches focused on…

cs.LG2020

FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief

Zhenhua Shi, Dongrui Wu, Chenfeng Guo +3

To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorit…

cs.LG2022

PyTSK: A Python Toolbox for TSK Fuzzy Systems

Yuqi Cui, Dongrui Wu, Xue Jiang +1

This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno-Kang (TSK) fuzzy systems. Based on scikit-learn and PyTorch, PyTSK allows users to optimize TSK fuzzy syste…

cs.AI2026

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory

Qingcan Kang, Mingyang Liu, Shixiong Kai +5

Language agents depend on memory across interactions. However, the limited context windows of large language models (LLMs) and their inference costs constrain how much memory can b…