Prediction of 30-Day Readmission: An Improved Gradient Boosting Decision Tree Approach. - Guodong Du 002; Lei Ma 010; Jinshan Hu; Junpeng Zhang 001; Yan Xiang; Dangguo Shao; Hongbin Wang (J. Medical Imaging Health Informatics, 2019)

Joint multilabel classification and feature selection based on deep canonical correlation analysis. - Liang Dai; Guodong Du 002; Jia Zhang; Candong Li; Rong Wei; Shaozi Li (Concurr. Comput. Pract. Exp., 2020)

Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge. - Yuan Li 024; Guodong Du 002; Yan Xiang; Shaozi Li; Lei Ma 010; Dangguo Shao; Xiongbin Wang; Haoyu Chen (J. Biomed. Informatics, 2020)

Joint imbalanced classification and feature selection for hospital readmissions. - Guodong Du 002; Jia Zhang; Zhiming Luo; Fenglong Ma; Lei Ma 010; Shaozi Li (Knowl. Based Syst., 2020)

Towards graph-based class-imbalance learning for hospital readmission. - Guodong Du 002; Jia Zhang; Fenglong Ma; Min Zhao; Yaojin Lin; Shaozi Li (Expert Syst. Appl., 2021)

Learning from class-imbalance and heterogeneous data for 30-day hospital readmission. - Guodong Du 002; Jia Zhang; Shaozi Li; Candong Li (Neurocomputing, 2021)

KSCB: a novel unsupervised method for text sentiment analysis. - Weili Jiang; Kangneng Zhou; Chenchen Xiong; Guodong Du 002; Chubin Ou; Junpeng Zhang 001 (Appl. Intell., 2023)

Toward embedding-based multi-label feature selection with label and feature collaboration. - Liang Dai; Jia Zhang; Guodong Du 002; Candong Li; Rong Wei; Shaozi Li (Neural Comput. Appl., 2023)

Graph-Based Class-Imbalance Learning With Label Enhancement. - Guodong Du 002; Jia Zhang; Min Jiang 005; Jinyi Long; Yaojin Lin; Shaozi Li; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2023)

Knowledge Fusion By Evolving Weights of Language Models. - Guodong Du 002; Jing Li 034; Hanting Liu; Runhua Jiang; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (ACL (Findings), 2024)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network. - Runhua Jiang; Guodong Du 002; Shuyang Yu; Yifei Guo; Sim Kuan Goh; Ho-Kin Tang (IJCNN, 2024)

Parameter Competition Balancing for Model Merging. - Guodong Du 002; Junlin Lee; Jing Li 034; Runhua Jiang; Yifei Guo; Shuyang Yu; Hanting Liu; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Min Zhang 005 (NeurIPS, 2024)

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; Haoyang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (SMC, 2024)

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis. - Yisheng Yang; Guodong Du 002; Chean Khim Toa; Ho-Kin Tang; Sim Kuan Goh (SMC, 2024)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; HaoYang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (CoRR, 2024)

Semi-supervised imbalanced multi-label classification with label propagation. - Guodong Du 002; Jia Zhang; Ning Zhang; Hanrui Wu; Peiliang Wu; Shaozi Li (Pattern Recognit., 2024)

Learning to cluster person via graph convolution networks for video-based person re-identification. - Wei Li 190; Tao Feng 014; Guodong Du 002; Sixin Liang; Ang Bian (Concurr. Comput. Pract. Exp., 2024)

Hospital readmission prediction with hybrid-sampling and self-paced balance learning. - Ying Xu; Ning Zhang; Ao Wang; Tao Feng 014; Guodong Du 002 (Concurr. Comput. Pract. Exp., 2024)

UniGrad-FS: Unified Gradient Projection With Flatter Sharpness for Continual Learning. - Wei Li 190; Tao Feng 014; Hangjie Yuan; Ang Bian; Guodong Du 002; Sixin Liang; Jianhong Gan; Ziwei Liu 002 (IEEE Trans. Ind. Informatics, 2024)

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer. - Guodong Du 002; Zitao Fang; Jing Li 034; Junlin Li; Runhua Jiang; Shuyang Yu; Yifei Guo; Yangneng Chen; Sim Kuan Goh; Ho-Kin Tang; Daojing He; Honghai Liu 001; et al. (ACL (1), 2025)

Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling. - Junlin Li; Guodong Du 002; Jing Li 034; Sim Kuan Goh; Wenya Wang; Yequan Wang; Fangming Liu; Ho-Kin Tang; Saleh Alharbi; Daojing He; Min Zhang 005 (ACL (1), 2025)

Multi-label feature selection with feature reconstruction and label correlations. - Ning Zhang; Ao Wang; Pengwei Lu; Tao Feng 014; Ying Xu; Guodong Du 002 (Expert Syst. Appl., 2025)

Consistent and specific multi-view multi-label learning with correlation information. - Yiting Li; Jia Zhang; Hanrui Wu; Guodong Du 002; Jinyi Long (Inf. Sci., 2025)

Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms. - Zitao Fang; Guodong Du 002; Shuyang Yu; Yifei Guo; Yiwei Zhang; Jing Li 034; Ho-Kin Tang; Sim Kuan Goh (CoRR, 2025)

Knowledge Grafting of Large Language Models. - Guodong Du 002; Xuanning Zhou; Junlin Li; Zhuo Li; Zesheng Shi; Wanyu Lin; Ho-Kin Tang; Xiucheng Li; Fangming Liu; Wenya Wang; Min Zhang 005; Jing Li 034 (CoRR, 2025)

Multi-objective Large Language Model Alignment with Hierarchical Experts. - Zhuo Li; Guodong Du 002; Weiyang Guo; Yigeng Zhou; Xiucheng Li; Wenya Wang; Fangming Liu; Yequan Wang; Deheng Ye; Min Zhang 005; Jing Li 034 (CoRR, 2025)