Zhuoyi Lin

According to our database, Zhuoyi Lin authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Senthilnath Jayavelu, Xudong Jiang

IEEE Trans. Intell. Transp. Syst., June, 2024

Cross-Problem Learning for Solving Vehicle Routing Problems.

Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.

Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh

IEEE Trans. Knowl. Data Eng., August, 2023

COMET: Convolutional Dimension Interaction for Collaborative Filtering.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu

ACM Trans. Intell. Syst. Technol., August, 2023

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.

Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh

J. Biomed. Informatics, June, 2023

Event-Triggered Sliding Mode Impulsive Control for Lower Limb Rehabilitation Exoskeleton Robot Gait Tracking.

Yang Liu, Shiguo Peng, Jiajun Zhang, Kan Xie, Zhuoyi Lin, Wei-Hsin Liao

Symmetry, 2023

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.

Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

User-specific recommender systems: from data to model

Zhuoyi Lin

PhD thesis, 2022

IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus.

Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.

Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh

CoRR, 2022

2021

GLIMG: Global and local item graphs for top-N recommender systems.

Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh

Inf. Sci., 2021

Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback.

Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An

IEEE Intell. Syst., 2021

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.

Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh

Bioinform., 2021

2020

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.

Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu

CoRR, 2020

Can Cross Entropy Loss Be Robust to Label Noise?

Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning from Multi-Class Positive and Unlabeled Data.

Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.

Yu Zhang, Zhuoyi Lin, Chee Keong Kwoh

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Fast Top-N Personalized Recommendation on Item Graph.

Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019