74 citations · 85 across the 5 of their papers we have counts for
5 papers
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
Wenju Sun, Qingyong Li, Jing Zhang +3
The exemplar-free class incremental learning requires classification models to learn new class knowledge incrementally without retaining any old samples. Recently, the framework ba…
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition
Wenyuan Xue, Baosheng Yu, Wen Wang +2
A table arranging data in rows and columns is a very effective data structure, which has been widely used in business and scientific research. Considering large-scale tabular data…
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors
Haomin Yu, Yangli-ao Geng, Yingjun Zhang +2
The advances of sensor technology enable people to monitor air quality through widely distributed low-cost sensors. However, measurements from these sensors usually encounter high…
Multi-Component Graph Convolutional Collaborative Filtering
Xiao Wang, Ruijia Wang, Chuan Shi +2
The interactions of users and items in recommender system could be naturally modeled as a user-item bipartite graph. In recent years, we have witnessed an emerging research effort…
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density
Yangli-ao Geng, Qingyong Li, Rong Zheng +3
Discovering clusters from a dataset with different shapes, densities, and scales is a known challenging problem in data clustering. In this paper, we propose the RElative COre MErg…