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2020 – today
- 2024
[j9]Haoge Jiang
, Niraj Bhujel, Zhuoyi Lin, Kong-Wah Wan, Jun Li, Senthilnath Jayavelu, Xudong Jiang:
Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation. IEEE Trans. Intell. Transp. Syst. 25(6): 5085-5095 (2024)- [c6]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI 2024: 6958-6966 - [i4]Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu:
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR abs/2404.11677 (2024) - 2023
- [j8]Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh:
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics 142: 104388 (2023) - [j7]Yang Liu, Shiguo Peng, Jiajun Zhang, Kan Xie, Zhuoyi Lin, Wei-Hsin Liao:
Event-Triggered Sliding Mode Impulsive Control for Lower Limb Rehabilitation Exoskeleton Robot Gait Tracking. Symmetry 15(1): 224 (2023) - [j6]Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14(4): 59:1-59:18 (2023) - [j5]Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh:
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7782-7795 (2023) - [c5]Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh:
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. BIBM 2023: 49-56 - 2022
- [b1]Zhuoyi Lin:
User-specific recommender systems: from data to model. Nanyang Technological University, Singapore, 2022 - [j4]Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh:
IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3497-3506 (2022) - [i3]Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh:
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. CoRR abs/2201.05333 (2022) - 2021
- [j3]Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh:
VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments. Bioinform. 37(6): 737-743 (2021) - [j2]Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An:
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. IEEE Intell. Syst. 36(6): 32-41 (2021) - [j1]Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh:
GLIMG: Global and local item graphs for top-N recommender systems. Inf. Sci. 580: 1-14 (2021) - 2020
- [c4]Yu Zhang, Zhuoyi Lin, Chee Keong Kwoh:
Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy. ICCS (5) 2020: 3-17 - [c3]Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li:
Learning from Multi-Class Positive and Unlabeled Data. ICDM 2020: 1256-1261 - [c2]Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An:
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020: 2206-2212 - [i2]Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh:
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems. CoRR abs/2007.14018 (2020) - [i1]Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. CoRR abs/2007.14129 (2020)
2010 – 2019
- 2019
- [c1]Zhuoyi Lin, Lei Feng, Chee-Keong Kwoh, Chi Xu:
Fast Top-N Personalized Recommendation on Item Graph. IEEE BigData 2019: 3903-3908
Coauthor Index
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