Traffic grooming in unidirectional WDM ring networks using genetic algorithms. - Yong Xu 009; Shen-Chu Xu; Bo-Xi Wu (Comput. Commun., 2002)

Strictly nonblocking grooming of dynamic traffic in unidirectional SONET/WDM rings using genetic algorithms. - Yong Xu 009; Shen-Chu Xu; Bo-Xi Wu (Comput. Networks, 2003)

Non-standard cost terminal assignment problems using tabu search approach. - Yong Xu 009; Sancho Salcedo-Sanz; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2004)

An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses. - Zhenyu Wang; Xin Yao 001; Yong Xu 009 (IDEAL, 2004)

A new approach to improving the grooming performance with dynamic traffic in SONET rings. - KunHong Liu 001; Yong Xu 009 (Comput. Networks, 2004)

Meta-Heuristic Algorithms for FPGA Segmented Channel Routing Problems with Non-standard Cost Functions. - Sancho Salcedo-Sanz; Yong Xu 009; Xin Yao 001 (Genet. Program. Evolvable Mach., 2005)

Editorial. - Yong Xu 009; Sancho Salcedo-Sanz; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2005)

Metaheuristic Approaches to Traffic Grooming in Wdm Optical Networks. - Yong Xu 009; Sancho Salcedo-Sanz; Xin Yao 001 (Int. J. Comput. Intell. Appl., 2005)

Combining GA with Splitting Methods for Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks. - KunHong Liu 001; Yong Xu 009 (Photonic Netw. Commun., 2005)

A GA approach to the optimal placement of sensors in wireless sensor networks with obstacles and preferences. - Yong Xu 009; Xin Yao 001 (CCNC, 2006)

Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems. - Sancho Salcedo-Sanz; Yong Xu 009; Xin Yao 001 (Comput. Oper. Res., 2006)

A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation - KunHong Liu 001; Yong Xu 009; De-Shuang Huang (CoRR, 2006)

Recent Advances in Evolutionary Computation. - Xin Yao 001; Yong Xu 009 (J. Comput. Sci. Technol., 2006)

Evolutionary Grooming of Traffic in WDM Optical Networks. - Yong Xu 009; KunHong Liu 001 (Advances in Evolutionary Computing for System Design, 2007)

Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. - KunHong Liu 001; Yong Xu 009; De-Shuang Huang; Min Cheng (Photonic Netw. Commun., 2008)

Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms. - Shutong Xie; Yinbiao Guo; Yong Xu 009; Kun-Hong Liu 001 (ISNN (2), 2009)

Analysis of the Uniformity of Light in a Plant Growth Chamber. - Yong Xu 009; Hanbin Wang; Walter Nsengiyumva (UV, 2018)

Investigation of the COVID-19 Research - A Big Data Approach. - Yong Xu 009; Guojun Mao; Shan Huang (UV, 2020)

A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction. - Yuting Zhong; Bowei Yan; KunHong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BIBM, 2022)

CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. - Xin-Cheng Wen; Jiaxin Ye; Yan Luo; Yong Xu 009; Xuan-Ze Wang; Chang-Li Wu; Kun-Hong Liu 001 (IJCAI, 2022)

GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. - Jiaxin Ye; Xin-Cheng Wen; Xuan-Ze Wang; Yong Xu 009; Yan Luo; Chang-Li Wu; Li-Yan Chen; Kunhong Liu 001 (Speech Commun., 2022)

A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. - Siyang Chen; Lianlian Wu; Yong Xu 009; Kunhong Liu 001; Song He; Xiaochen Bo (BIBM, 2023)

Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. - Jiaxin Ye; Xin-Cheng Wen; Yujie Wei 001; Yong Xu 009; Kunhong Liu 001; Hongming Shan (ICASSP, 2023)

EduAction: A College Student Action Dataset for Classroom Attention Estimation. - Kunhong Liu 001; Bin Chen; Liyan Chen; Yong Xu 009; Lu Lin; Fan Gao; Yudi Zhao (ICIC (4), 2023)

A novel soft-coded error-correcting output codes algorithm. - Kun-Hong Liu 001; Jie Gao; Yong Xu 009; Kaijie Feng; Xiao-Na Ye; Sze-Teng Liong; Li-Yan Chen (Pattern Recognit., 2023)

Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. - Bin Chen; Kunhong Liu 001; Yong Xu 009; Qingqiang Wu 001; Junfeng Yao (IEEE Trans. Multim., 2023)

A Global and Local Feature fused CNN architecture for the sEMG-based hand gesture recognition. - Baoping Xiong; Wensheng Chen; Yinxi Niu; Zhenhua Gan; Guojun Mao; Yong Xu 009 (Comput. Biol. Medicine, 2023)

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. - Guangyi Lin; Jie Gao; Nan Zeng; Yong Xu 009; Kunhong Liu 001; Beizhan Wang; Junfeng Yao; Qingqiang Wu 001 (Pattern Recognit., 2023)

EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction. - Jing Chen; Lianlian Wu; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BMC Bioinform., 2023)

CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions. - Jiayu Zou; Lianlian Wu; Weiping Lin; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (BIBM, 2024)

Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. - Qiong Tan; Yuqi Wen; Yong Xu 009; Kunhong Liu 001; Song He; Xiaochen Bo (Inf. Sci., 2024)

PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance. - Baoping Xiong; Wensheng Chen; Han Li 004; Yinxi Niu; Nianyin Zeng; Zhenhua Gan; Yong Xu 009 (IEEE Trans. Instrum. Meas., 2024)

TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction. - Baoping Xiong; Yiran Chang; Nianyin Zeng; Yinxi Niu; Hui Zeng; Han Li 004; Guojun Mao; Yong Xu 009 (IEEE Trans. Instrum. Meas., 2024)

RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction. - Yanran Fu; Junshan Han; Yong Xu 009; Kunhong Liu 001; Jiang Lu; Song He; Xiaochen Bo (Inf. Fusion, 2025)

A feature pair-based neural network embedded decision tree for synergistic drug combination prediction. - Jiayu Zou; Lianlian Wu; Kunhong Liu 001; Yong Xu 009; Song He; Xiaochen Bo (Pattern Recognit., 2025)

MDGP-forest: A novel deep forest for multi-class imbalanced learning based on multi-class disassembly and feature construction enhanced by genetic programming. - Zhikai Lin; Yong Xu 009; Kunhong Liu 001; Liyan Chen (Pattern Recognit., 2026)