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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

Information transmission through parallel multi-task-based recognition of high-resolution multiplexed orbital angular momentum: 《Frontiers of physics》2024年第5期167-177,共11页Jingwen Zhou Yaling Yin Jihong Tang Yong Xia Jianping Yin; Financial supports are from the National Natural Science Foundation of China(Grant Nos.12174115,91836103,and 11834003).; Orbital angular momentums(OAMs)greatly enhance the channel capacity in free-space optical communication.However,demodulation of superposed OAM to recognize them separately is always difficult,especially upon multiplex...; 关键词：information transmission orbital angular momentum multitask deep learning holographic multiplexing structured light

LKMT:Linguistics Knowledge-Driven Multi-Task Neural Machine Translation for Urdu and English: 《Computers, Materials & Continua》2024年第10期951-969,共19页Muhammad Naeem Ul Hassan Zhengtao Yu Jian Wang Ying Li Shengxiang Gao Shuwan Yang Cunli Mao; supported by the National Natural Science Foundation of China under Grant(61732005,61972186);Yunnan Provincial Major Science and Technology Special Plan Projects(Nos.202103AA080015,202203AA080004).; Thanks to the strong representation capability of pre-trained language models,supervised machine translation models have achieved outstanding performance.However,the performances of these models drop sharply when the ...; 关键词：Urdu NMT(neural machine translation) Urdu natural language processing Urdu Linguistic features low resources language linguistic features pretrain model

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