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AF: An Association-based Fusion Method for Multi-Modal Classification
Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang
Multi-modal classifification (MMC) aims to integrate the complementary information from different modalities to improve classifification performance.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(12):9236-9254.
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Neighborhood Information-based Method for Multivariate Association Mining
Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang
Most current data is multivariable, exploring and identifying valuable information in these datasets has far-reaching impacts. In particular, discovering meaningful hidden association patterns in multivariate plays an important role.
IEEE Transactions on Knowledge and Data Engineering,2022,In Press
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Local Feature Selection for Large-scale Data Sets with Limited Labels
Tian Yang, Yanfang Deng, Bin Yu, Yuhua Qian, Jianhua Dai
Processing large-scale data sets with limited labels has always been a difficult task in data mining. Facing this difficulty, two local feature selection algorithms, LARD and LRSD, have been proposed based on dependency degree,
IEEE Transactions on Knowledge and Data Engineering,2022,In Press
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闫涛,钱宇华,李飞江,闫泓任,王婕婷,梁吉业,郑珂银,吴鹏,陈路,胡治国,乔志伟,张江峰,翟小鹏
基于图像聚焦信息的三维形貌重建方法通常对微观物体的景深图像序列采用统一的聚焦评价标准, 这类重建方法往往会忽视图像序列之间的联系, 难以修正图像纹理稀疏或低对比度导致的连续帧深度误差...
中国科学：信息科学，2022，In Press
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Qian Guo, Yuhua Qian, Xinyan Liang.
Recently, many learning-based methods have explored logic learning task in the assumption that the training set and testing set are from the consistent distribution...
International Journal of Approximate Reasoning, 2022,4(143):78-101.
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Active and Semi-supervised Graph Neural Networks for Graph Classification
Yu xie,Shengze Lv, Yuhua Qian,Chao Wen,JiyeLiang
Graph classification aims to predict the class labels of graphs and has a wide range of applications in many real-world domains.
IEEE Transactions on Big Data, 2022,doi: 10.1109/TBDATA.2021.3140205.
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A Tensor Generalized Weighted Linear Predictor for FDA-MIMO Radar Parameter Estimation
Chao Wen, Yu Xie, Zhiwei Qiao, Liyun Xu, and Yuhua Qian
Radar parameter estimation in terms of its range, angle and velocity plays a crucial role in many applications. Multiple-input multiple-output (MIMO) radar with frequency diverse array (FDA) is capable of resolving...
IEEE Transactions on Vehicular Technology,2022,In Press
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Incremental Feature Spaces Learning with Label Scarcity
Shilin Gu,Yuhua Qian,Chenping Hou
Recently, learning and mining from data streams with incremental feature spaces have attracted extensive attention, where data may dynamically expand over time in both volume and feature dimensions.
ACM Transactions on Knowledge Discovery from Data,2022,In Press.
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Locality-Constrained Discriminative Matrix Regression for Robust Face Identification,
Chao Zhang,Huaxiong Li,Yuhua Qian,Chunlin Chen,Xianzhong Zhou
Regression-based methods have been widely applied in face identification, which attempts to approximately represent a query sample as...
IEEE Transactions on Neural Networks and Learning Systems,2022,33(3):1254-1268.
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Local-global coupling relationship based low-light image enhancement
王克琪，钱宇华，梁吉业，刘畅，黄琴，陈路，贾洁茹
卷积神经网络目前在人工智能多个领域均取得了不同程度的突破.卷积计算是基于参数共享的滑窗机制, 这导致卷积神经网络更多的关注特征信息的局部关系, 对全局关系的建模能力有限...
中国科学: 信息科学, 2022, 52: 443–460, doi: 10. 1360/SSI-2021-0174
