Fast Top-N Personalized Recommendation on Item Graph. - Zhuoyi Lin; Lei Feng 006; Chee-Keong Kwoh 001; Chi Xu (IEEE BigData, 2019)

Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy. - Yu Zhang 084; Zhuoyi Lin; Chee Keong Kwoh 001 (ICCS (5), 2020)

Learning from Multi-Class Positive and Unlabeled Data. - Senlin Shu; Zhuoyi Lin; Yan Yan; Li Li 006 (ICDM, 2020)

Can Cross Entropy Loss Be Robust to Label Noise? - Lei Feng 006; Senlin Shu; Zhuoyi Lin; Fengmao Lv; Li Li 006; Bo An 001 (IJCAI, 2020)

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. - Zhuoyi Lin; Lei Feng 006; Xingzhi Guo; Rui Yin 002; Chee Keong Kwoh 001; Chi Xu (CoRR, 2020)

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Zhuoyi Lin; Chee Keong Kwoh 001 (Bioinform., 2021)

Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. - Lei Feng 006; Hongxin Wei; Qingyu Guo; Zhuoyi Lin; Bo An 001 (IEEE Intell. Syst., 2021)

GLIMG: Global and local item graphs for top-N recommender systems. - Zhuoyi Lin; Lei Feng 006; Rui Yin 002; Chi Xu; Chee Keong Kwoh 001 (Inf. Sci., 2021)

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; Chi Xu; Chee Keong Kwoh 001 (CoRR, 2022)

IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus. - Rui Yin 002; Nyi Nyi Thwin; Pei Zhuang; Zhuoyi Lin; Chee Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

User-specific recommender systems: from data to model - Zhuoyi Lin (2022)

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. - Zhang Wan; Zhuoyi Lin; Shamima Rashid; Shaun Yue-Hao Ng; Rui Yin 002; J. Senthilnath 001; Chee Keong Kwoh 001 (BIBM, 2023)

Event-Triggered Sliding Mode Impulsive Control for Lower Limb Rehabilitation Exoskeleton Robot Gait Tracking. - Yang Liu 339; Shiguo Peng; Jiajun Zhang; Kan Xie; Zhuoyi Lin; Wei-Hsin Liao (Symmetry, 2023)

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Min Zeng; Min Li 007; Zhuoyi Lin; Chee Keong Kwoh 001 (J. Biomed. Informatics, 2023)

COMET: Convolutional Dimension Interaction for Collaborative Filtering. - Zhuoyi Lin; Lei Feng 006; Xingzhi Guo; Yu Zhang 084; Rui Yin 002; Chee Keong Kwoh 001; Chi Xu (ACM Trans. Intell. Syst. Technol., 2023)

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; J. Senthilnath 001; Chi Xu; Chee Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2023)

Cross-Problem Learning for Solving Vehicle Routing Problems. - Zhuoyi Lin; Yaoxin Wu; Bangjian Zhou; Zhiguang Cao; Wen Song; Yingqian Zhang 001; Senthilnath Jayavelu (IJCAI, 2024)

Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation. - Haoge Jiang; Niraj Bhujel; Zhuoyi Lin; Kong-Wah Wan; Jun Li 005; Senthilnath Jayavelu; Xudong Jiang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement: Integration of Group Sparsity With Deep Denoiser Prior. - Zhengyuan Zhang; Zuozhou Pan; Zhuoyi Lin; Arunima Sharma; Chia-Wen Lin; Manojit Pramanik; Yuanjin Zheng (IEEE Trans. Image Process., 2025)

A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy. - J. Senthilnath 001; Jayasanker Jayabalan; Zhuoyi Lin; Aye Phyu Phyu Aung; Chen Hao; Kaixin Xu; Yeow Kheng Lim; F. C. Wellstood (CoRR, 2025)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems. - Shaodi Feng; Zhuoyi Lin; Jianan Zhou; Cong Zhang; Jingwen Li; Kuan-Wen Chen; Senthilnath Jayavelu; Yew-Soon Ong (CoRR, 2025)