Extracting Appraisal Expressions from Short Texts. - Peiquan Jin; Yongbo Yu; Jie Zhao 006; Lihua Yue (WAIM, 2015)

Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. - Xin Sun 003; Zenghui Song; Junyu Dong; Yongbo Yu; Claudia Plant; Christian Böhm 001 (AAAI, 2019)

Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. - Yongbo Yu; Yalian Feng; Hui Ma 001; Aaron Chen 001; Chen Wang 013 (CEC, 2019)

Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. - Yongbo Yu; Hui Ma 001; Gang Chen 002 (CEC, 2021)

Detecting a multigranularity event in an unequal interval time series based on self-adaptive segmenting. - Haibo Li; Yongbo Yu (Intell. Data Anal., 2021)

Fusing attributed and topological global-relations for network embedding. - Xin Sun 003; Yongbo Yu; Yao Liang; Junyu Dong; Claudia Plant; Christian Böhm 001 (Inf. Sci., 2021)

3E-LDA: Three Enhancements to Linear Discriminant Analysis. - Yanni Li; Bing Liu 001; Yongbo Yu; Hui Li 005; Jiacan Sun; Jiangtao Cui (ACM Trans. Knowl. Discov. Data, 2021)

A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. - Yongbo Yu; Tao Shi; Hui Ma 001; Gang Chen 002 (CEC, 2022)

Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. - Yongbo Yu; Fuxun Yu; Zirui Xu; Di Wang 003; Minjia Zhang; Ang Li 005; Shawn Bray; Chenchen Liu; Xiang Chen 010 (WWW (Companion Volume), 2022)

Identifying Irregular Potatoes Using Hausdorff Distance and Intersection over Union. - Yongbo Yu; Hong Jiang; Xiangfeng Zhang; Yutong Chen (Sensors, 2022)

EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. - Yongbo Yu; Fuxun Yu; Xiang Sheng; Chenchen Liu; Xiang Chen 010 (DAC, 2023)

Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Victoria Huang 001; Yongbo Yu; Kameron Christopher (EvoApplications@EvoStar, 2023)

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. - Yongbo Yu; Fuxun Yu; Mingjia Zhang; Di Wang 003; Tolga Soyata; Chenchen Liu; Xiang Chen 010 (CoRR, 2023)

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients. - Min Zhang; Fuxun Yu; Yongbo Yu; Minjia Zhang; Ang Li 005; Xiang Chen 010 (CoRR, 2023)

A image fusion and U-Net approach to improving crop planting structure multi-category classification in irrigated area. - Weidong Li; Yongbo Yu; Fanqian Meng; Jinlong Duan; Xuehai Zhang (J. Intell. Fuzzy Syst., 2023)

Network Embedding via Deep Prediction Model. - Xin Sun 003; Zenghui Song; Yongbo Yu; Junyu Dong; Claudia Plant; Christian Böhm 001 (IEEE Trans. Big Data, 2023)

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. - Yongbo Yu; Fuxun Yu; Zhi Tian; Xiang Chen 010 (ICCAD, 2024)

Multidimensional Process Model Forecasting (MuDiPMF). - Yongbo Yu (ICPM Doctoral Consortium / Demo, 2024)

Multivariate Approaches for Process Model Forecasting. - Yongbo Yu; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (ICPM Workshops, 2024)

S2 synthetic acceleration and positivity-preserving schemes for solving the neutron transport equation. - Daming Yuan; Yongbo Yu; Huasheng Zheng (Commun. Nonlinear Sci. Numer. Simul., 2024)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting. - Yongbo Yu; Weizhong Yu; Feiping Nie 001; Xuelong Li 001 (CoRR, 2024)

A novel optimization approach to topology checking of pipeline vector data in browser side. - Weidong Li; Chunbo Shi; Yongbo Yu; Zhe Wang (Computing, 2024)

Multiple object tracking with adaptive multi-features fusion and improved learnable graph matching. - Yongtang Bao; Yongbo Yu; Yue Qi; Zhihui Wang 003 (Vis. Comput., 2024)

Lightweight decoder U-net crack segmentation network based on depthwise separable convolution. - Yongbo Yu; Yage Zhang; Junyang Yu; Jianwei Yue (Multim. Syst., 2024)

Bidirectional fusion for deep contrastive multi-view clustering. - Yongbo Yu; Jie Wang 024; Weizhong Yu; Zihua Zhao; Zongcheng Miao; Feiping Nie 001 (Expert Syst. Appl., 2025)

PRformer: Pyramidal recurrent transformer for multivariate time series forecasting. - Yongbo Yu; Weizhong Yu; Feiping Nie 001; Zongcheng Miao; Ya Liu; Xuelong Li 001 (Neural Networks, 2025)

UTDM: a universal transformer-based diffusion model for multi-weather-degraded images restoration. - Yongbo Yu; Weidong Li; Linyan Bai; Jinlong Duan; Xuehai Zhang (Vis. Comput., 2025)

AM-CFDN: semi-supervised anomaly measure-based coal flow foreign object detection network. - Weidong Li; Yongbo Yu; Chisheng Wang; Xuehai Zhang; Jinlong Duan; Linyan Bai (Int. J. Mach. Learn. Cybern., 2025)

Pseudo-Label Guided Bidirectional Discriminative Deep Multi-View Subspace Clustering. - Yongbo Yu; Zhoumin Lu; Feiping Nie 001; Weizhong Yu; Zongcheng Miao; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Fast multi-view clustering via tensor hyperbolic tangent-p norm minimization. - Yongbo Yu; Zhoumin Lu; Jingjing Xue; Rong Wang 001; Zongcheng Miao; Feiping Nie 001 (Pattern Recognit., 2026)