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Multi-Task ConvMixer Networks with Triplet Attention for Low-Resource Keyword Spotting: 《Tsinghua Science and Technology》2025年第2期875-893,共19页Alexander Rogath Kivaisi Qingjie Zhao Yuanbing Zou; supported by the Chinese Government Scholarship under China Scholarship Council.; Customized keyword spotting needs to adapt quickly to small user samples.Current methods primarily solve the problem under moderate noise conditions.Recent work increases the level of difficulty in detecting keywords ...; 关键词：KeyWord Spotting(KWS) multi-task learning cross-dimension attention low-resource mixed speech

Deep learning-based multi-task prediction of response to neoadjuvant chemotherapy using multiscale whole slide images in breast cancer:A multicenter study: 《Chinese Journal of Cancer Research》2025年第1期28-47,共20页Qin Wang Feng Zhao Haicheng Zhang Tongpeng Chu Qi Wang Xipeng Pan Yuqian Chen Heng Zhou Tiantian Zheng Ziyin Li Fan Lin Haizhu Xie Heng Ma Lan Liu Lina Zhang Qin Li Weiwei Wang Yi Dai Ruijun Tang Jigang Wang Ping Yang Ning Mao; supported by the National Natural Science Foundation of China(No.82371933);the National Natural Science Foundation of Shandong Province of China(No.ZR2021MH120);the Taishan Scholars Project(No.tsqn202211378);the Shandong Provincial Natural Science Foundation for Excellent Young Scholars(No.ZR2024YQ075).; Objective:Early predicting response before neoadjuvant chemotherapy(NAC)is crucial for personalized treatment plans for locally advanced breast cancer patients.We aim to develop a multi-task model using multiscale who...; 关键词：Artificial intelligence breast cancer digital pathology whole slide images

Robust Multi-Task Regression with Shifting Low-Rank Patterns: 《Acta Mathematica Sinica,English Series》2025年第2期677-702,共26页Junfeng Cui Guanghui Wang Fengyi Song Xiaoyan Ma Changliang Zou; supported by the National Key R&D Program of China(Grant Nos.2022YFA1003703,2022YFA 1003800);the National Natural Science Foundation of China(Grant Nos.11925106,12231011,11931001,12226007,12326325);supported by the National Natural Science Foundation of China(Grant No.12301380);supported by the National Key R&D Program of China(Grant Nos.2021YFA1000100,2021YFA1000101,2022YFA1003800);the Natural Science Foundation of Shanghai(Grant No.23ZR1419400)。; We consider the problem of multi-task regression with time-varying low-rank patterns,where the collected data may be contaminated by heavy-tailed distributions and/or outliers.Our approach is based on a piecewise robu...; 关键词：Low-rank matrix estimation multiple change-point detection multi-task regression robust learning

Improving Multi-task GNNs for Molecular Property Prediction via Missing Label Imputation: 《Machine Intelligence Research》2025年第1期131-144,共14页Fenyu Hu Dingshuo Chen Qiang Liu Shu Wu; supported by the National Natural Science Foundation of China(Nos.62141608 and U19B 2038),the CAAI Huawei MindSpore Open Fund.; The prediction of molecular properties is a fundamental task in the field of drug discovery.Recently,graph neural networks(GNNs)have been gaining prominence in this area.Since a molecule tends to have multiple correla...; 关键词：Graph classification imbalance learning prediction bias mixture of experts multiview representations

Collaborative Trajectory Planning for Stereoscopic Agricultural Multi-UAVs Driven by the Aquila Optimizer: 《Computers, Materials & Continua》2025年第1期1349-1376,共28页Xinyu Liu Longfei Wang Yuxin Ma Peng Shao; funded by the Jiangxi Provincial Social Science Planning Project(21GL12);Jiangxi Provincial Higher Education Humanities and Social Sciences Planning Project(GL22232);Jiangxi Province College Students’Innovation and Entrepreneurship Training Program Project(S20241041027).; Stereoscopic agriculture,as an advanced method of agricultural production,poses new challenges for multi-task trajectory planning of unmanned aerial vehicles(UAVs).To address the need for UAVs to perform multi-task tr...; 关键词：Stereoscopic agriculture unmanned aerial vehicle MULTI-TASK interference model Aquila optimizer

Short-Term Rolling Prediction of Tropical Cyclone Intensity Based on Multi-Task Learning with Fusion of Deviation-Angle Variance and Satellite Imagery: 《Advances in Atmospheric Sciences》2025年第1期111-128,共18页Wei TIAN Ping SONG Yuanyuan CHEN Yonghong ZHANG Liguang WU Haikun ZHAO Kenny Thiam Choy LIM KAM SIAN Chunyi XIANG; jointly supported by the National Natural Science Foundation of China(Grant Nos.42075138 and 42375147);the Program on Key Basic Research Project of Jiangsu(Grant No.BE2023829)。; Tropical cyclones(TCs)are one of the most serious types of natural disasters,and accurate TC activity predictions are key to disaster prevention and mitigation.Recently,TC track predictions have made significant progr...; 关键词：tropical cyclone INTENSITY structure rolling prediction MULTI-TASK

Multi-task learning for seismic elastic parameter inversion with the lateral constraint of angle-gather difference: 《Petroleum Science》2024年第6期4001-4009,共9页Pu Wang Yi-An Cui Lin Zhou Jing-Ye Li Xin-Peng Pan Ya Sun Jian-Xin Liu; financially supported by the National Natural Science Foundation of China(Grant Nos.42130810,42204135,42174170,and 42074165);the Natural Science Foundation of Hunan Province(Grant No.2023JJ40716)。; Pre-stack seismic inversion is an effective way to investigate the characteristics of hydrocarbon-bearing reservoirs.Multi-parameter application is the key to identifying reservoir lithology and fluid in pre-stack inv...; 关键词：Seismic inversion Multi-task learning network Angle gathers Lateral accuracy Elastic parameter

Oil-surface Thermometers Recognition Method Using Multi-Task Cascade Neural Network: 《Instrumentation》2024年第4期13-20,共8页Weisheng Lao Bin Sun Yuxiao Zhao Chaoping Sun Xu Dai; funded by the Zhejiang Provincial Administration for Market Regulation's Early Career Development Program,grant number CY2023323.; Currently,the oil-surface thermometer remains a crucial monitoring device in substations.However,challenges such as uneven scale distribution,inadequate model accuracy,and low reading precision persist in handling rea...; 关键词：oil-surface thermometer enhanced computational methods semantic segmentation object detection

A Multi-Task Based Clustering Personalized Federated Learning Method: 《Big Data Mining and Analytics》2024年第4期1017-1030,共14页Ao Xiong Han Zhou Yu Song Dong Wang Xu Wei Da Li Bo Gao; supported by the National Key R&D Program of China(No.2022YFB2703400).; Federated Learning(FL)is a framework for machine learning on a large-scale distributed dataset,enabling the training of a collaborative model across multiple parties while preserving the privacy of user data.However,i...; 关键词：personalized federated learning data heterogeneity clustering algorithm multi-task learning adaptive weight

MDTCNet:Multi-Task Classifications Network and TCNN for Direction of Arrival Estimation: 《China Communications》2024年第10期148-166,共19页Yu Jiarun Wang Yafeng; funded by Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center。; The direction-of-arrival(DoA) estimation is one of the hot research areas in signal processing. To overcome the DoA estimation challenge without the prior information about signal sources number and multipath number i...; 关键词：DoA estimation MDTCNet millimeter wave system multi-task classifications model regression model

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