21 citations · 38 across the 14 of their papers we have counts for
14 papers
Predictive Reasoning with Augmented Anomaly Contrastive Learning for Compositional Visual Relations
Chengtai Li, Yuting He, Jianfeng Ren +4
While visual reasoning for simple analogies has received significant attention, compositional visual relations (CVR) remain relatively unexplored due to their greater complexity. T…
ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps
Xingke Song, Xiaoying Yang, Chenglin Yao +4
Solving jigsaw puzzles has been extensively studied. While most existing models focus on solving either small-scale puzzles or puzzles with no gap between fragments, solving large-…
Pattern based learning and optimisation through pricing for bin packing problem
Huayan Zhang, Ruibin Bai, Tie-Yan Liu +3
As a popular form of knowledge and experience, patterns and their identification have been critical tasks in most data mining applications. However, as far as we are aware, no stud…
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Jialu Zhang, Xiaoying Yang, Wentao He +6
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, i…
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Wentao He, Yuchen Yan, Jianfeng Ren +2
Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic image while overlookin…
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network
Yinglin Zhang, Ruiling Xi, Huazhu Fu +4
Robust and accurate segmentation for elongated physiological structures is challenging, especially in the ambiguous region, such as the corneal endothelium microscope image with un…
Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals
Chenglin Yao, Jianfeng Ren, Ruibin Bai +3
Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) sign…
Boosting the Discriminant Power of Naive Bayes
Shihe Wang, Jianfeng Ren, Xiaoyu Lian +2
Naive Bayes has been widely used in many applications because of its simplicity and ability in handling both numerical data and categorical data. However, lack of modeling of corre…
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai +2
In many classification models, data is discretized to better estimate its distribution. Existing discretization methods often target at maximizing the discriminant power of discret…
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Wentao He, Jianfeng Ren, Ruibin Bai +1
Raven's Progressive Matrices (RPMs) are frequently used in evaluating human's visual reasoning ability. Researchers have made considerable efforts in developing systems to automati…
A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai
Recently, many improved naive Bayes methods have been developed with enhanced discrimination capabilities. Among them, regularized naive Bayes (RNB) produces excellent performance…
Analytics and Machine Learning in Vehicle Routing Research
Ruibin Bai, Xinan Chen, Zhi-Long Chen +13
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle…
Data-Driven Regular Expressions Evolution for Medical Text Classification Using Genetic Programming
J Liu, R Bai, Z Lu +3
In medical fields, text classification is one of the most important tasks that can significantly reduce human workload through structured information digitization and intelligent d…
A Hybrid Pricing and Cutting Approach for the Multi-Shift Full Truckload Vehicle Routing Problem
Ning Xue, Ruibin Bai, Rong Qu +1
Full truckload transportation (FTL) in the form of freight containers represents one of the most important transportation modes in international trade. Due to large volume and scal…