Yongbo Yu

37 papers A* 3A 1B 3Journal 25Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction: A benchmarking study on process model forecasting: univariate vs. multivariate approaches.
Process Sci.
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2026 J jnl
Fast multi-view clustering via tensor hyperbolic tangent-p norm minimization.
Pattern Recognit.
Yongbo Yu, Zhoumin Lu, Jingjing Xue, Rong Wang, Zongcheng Miao, Feiping Nie
2026 J jnl
FedMT: Multitask Federated Learning With Competitive GPU Resource Sharing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Chenchen Liu, Zhi Tian, Xiang Chen
2025 J jnl
A benchmarking study on process model forecasting: univariate vs. multivariate approaches.
Process Sci.
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025 J jnl
AM-CFDN: semi-supervised anomaly measure-based coal flow foreign object detection network.
Int. J. Mach. Learn. Cybern.
Weidong Li, Yongbo Yu, Chisheng Wang, Xuehai Zhang, Jinlong Duan, Linyan Bai
2025 J jnl
Accurately Estimate and Analyze Human Postures in Classroom Environments.
Inf.
Zhaoyu Shou, Yongbo Yu, Dongxu Li, Jianwen Mo, Huibing Zhang, Jingwei Zhang, Ziyong Wu
2025 J jnl
Bidirectional fusion for deep contrastive multi-view clustering.
Expert Syst. Appl.
Yongbo Yu, Jie Wang, Weizhong Yu, Zihua Zhao, Zongcheng Miao, Feiping Nie
2025 A* conf
Capturing Individuality and Commonality Between Anchor Graphs for Multi-View Clustering.
IJCAI
Zhoumin Lu, Yongbo Yu, Linru Ma, Feiping Nie, Rong Wang
2025 J jnl
PRformer: Pyramidal recurrent transformer for multivariate time series forecasting.
Neural Networks
Yongbo Yu, Weizhong Yu, Feiping Nie, Zongcheng Miao, Ya Liu, Xuelong Li
2025 J jnl
Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering.
IEEE Trans. Knowl. Data Eng.
Yongbo Yu, Zhoumin Lu, Feiping Nie, Weizhong Yu, Zongcheng Miao, Xuelong Li
2025 J jnl
Time Series Foundation Models for Process Model Forecasting.
CoRR
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025 J jnl
UTDM: a universal transformer-based diffusion model for multi-weather-degraded images restoration.
Vis. Comput.
Yongbo Yu, Weidong Li, Linyan Bai, Jinlong Duan, Xuehai Zhang
2024 J jnl
A novel optimization approach to topology checking of pipeline vector data in browser side.
Computing
Weidong Li, Chunbo Shi, Yongbo Yu, Zhe Wang
2024 A conf
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.
ICCAD
Yongbo Yu, Fuxun Yu, Zhi Tian, Xiang Chen
2024 J jnl
Lightweight decoder U-net crack segmentation network based on depthwise separable convolution.
Multim. Syst.
Yongbo Yu, Yage Zhang, Junyang Yu, Jianwei Yue
2024 — conf
Multidimensional Process Model Forecasting (MuDiPMF).
ICPM Doctoral Consortium / Demo
Yongbo Yu
2024 J jnl
Multiple object tracking with adaptive multi-features fusion and improved learnable graph matching.
Vis. Comput.
Yongtang Bao, Yongbo Yu, Yue Qi, Zhihui Wang
2024 — conf
Multivariate Approaches for Process Model Forecasting.
ICPM Workshops
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024 J jnl
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting.
CoRR
Yongbo Yu, Weizhong Yu, Feiping Nie, Xuelong Li
2024 J jnl
S2 synthetic acceleration and positivity-preserving schemes for solving the neutron transport equation.
Commun. Nonlinear Sci. Numer. Simul.
Daming Yuan, Yongbo Yu, Huasheng Zheng
2023 J jnl
A image fusion and U-Net approach to improving crop planting structure multi-category classification in irrigated area.
J. Intell. Fuzzy Syst.
Weidong Li, Yongbo Yu, Fanqian Meng, Jinlong Duan, Xuehai Zhang
2023 A* conf
EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs.
DAC
Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen
2023 — conf
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming.
EvoApplications@EvoStar
Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher
2023 J jnl
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.
CoRR
Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen
2023 J jnl
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.
CoRR
Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen
2023 J jnl
Network Embedding via Deep Prediction Model.
IEEE Trans. Big Data
Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm
2022 B conf
A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment.
CEC
Yongbo Yu, Tao Shi, Hui Ma, Gang Chen
2022 J jnl
Identifying Irregular Potatoes Using Hausdorff Distance and Intersection over Union.
Sensors
Yongbo Yu, Hong Jiang, Xiangfeng Zhang, Yutong Chen
2022 — conf
Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing.
WWW (Companion Volume)
Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen
2021 J jnl
3E-LDA: Three Enhancements to Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data
Yanni Li, Bing Liu, Yongbo Yu, Hui Li, Jiacan Sun, Jiangtao Cui
2021 B conf
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
CEC
Yongbo Yu, Hui Ma, Gang Chen
2021 J jnl
Detecting a multigranularity event in an unequal interval time series based on self-adaptive segmenting.
Intell. Data Anal.
Haibo Li, Yongbo Yu
2021 J jnl
Fusing attributed and topological global-relations for network embedding.
Inf. Sci.
Xin Sun, Yongbo Yu, Yao Liang, Junyu Dong, Claudia Plant, Christian Böhm
2021 J jnl
Network Embedding via Deep Prediction Model.
CoRR
Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm
2019 B conf
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach.
CEC
Yongbo Yu, Yalian Feng, Hui Ma, Aaron Chen, Chen Wang
2019 A* conf
Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.
AAAI
Xin Sun, Zenghui Song, Junyu Dong, Yongbo Yu, Claudia Plant, Christian Böhm
2015 — conf
Extracting Appraisal Expressions from Short Texts.
WAIM
Peiquan Jin, Yongbo Yu, Jie Zhao, Lihua Yue