| Can Cross Entropy Loss be Robust to Label Noise? L Feng, S Shu, Z Lin, F Lv, L Li, B An International Joint Conferences on Artificial Intelligence (IJCAI 2020), 2020 | 177 | 2020 |
| IAV-CNN: a 2D convolutional neural network model to predict antigenic variants of influenza A virus R Yin, NN Thwin, P Zhuang, Y Zhang, Z Lin, CK Kwoh IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2020 | 21 | 2020 |
| Learning from multi-class positive and unlabeled data S Shu, Z Lin, Y Yan, L Li IEEE International Conference on Data Mining (ICDM 2020), 1256-1261, 2020 | 18 | 2020 |
| GLIMG: Global and Local Item Graphs for Top-N Recommender Systems Z Lin, L Feng, R Yin, C Xu, CK Kwoh Information Sciences (INS), 2021 | 17 | 2021 |
| VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments R Yin, Z Luo, P Zhuang, Z Lin, CK Kwoh Bioinformatics 37 (6), 737-743, 2021 | 15 | 2021 |
| Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation Z Lin, S Zang, R Wang, Z Sun, J Senthilnath, C Xu, CK Kwoh IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 | 12 | 2022 |
| ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences R Yin, Z Luo, P Zhuang, M Zeng, M Li, Z Lin, CK Kwoh Journal of Biomedical Informatics (JBI), 104388, 2023 | 7 | 2023 |
| Cross-Problem Learning for Solving Vehicle Routing Problems Z Lin, Y Wu, B Zhou, Z Cao, W Song, Y Zhang, S Jayavelu International Joint Conferences on Artificial Intelligence (IJCAI 2024), 2024 | 6 | 2024 |
| Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation H Jiang, N Bhujel, Z Lin, KW Wan, J Li, S Jayavelu, X Jiang IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023 | 4 | 2023 |
| Comet: Convolutional dimension interaction for collaborative filtering Z Lin, L Feng, X Guo, Y Zhang, R Yin, CK Kwoh, C Xu ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 | 4 | 2023 |
| Embedding-Augmented Generalized Matrix Factorization for Recommendation with Implicit Feedback L Feng, H Wei, Q Guo, Z Lin, B An IEEE Intelligent Systems (IEEE IS), 2020 | 4 | 2020 |
| Fast top-n personalized recommendation on item graph Z Lin, L Feng, CK Kwoh, C Xu 2019 IEEE International Conference on Big Data (Big Data), 3903-3908, 2019 | 2 | 2019 |
| Information Theory-based Feature Selection: Minimum Distribution Similarity with Removed Redundancy Y Zhang, Z Lin, CK Kwoh International Conference on Computational Science (ICCS 2020), 2020 | 1 | 2020 |
| Transfer learning for material parameter extraction from current-voltage characteristics of solar cells Z Lin, M Ragab, Z Ren, JW Yoon, T Buonassisi, V Chellappan, S Jayavelu Available at SSRN 4995174, 2023 | | 2023 |
| PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction Z Wan, Z Lin, S Rashid, SYH Ng, R Yin, J Senthilnath, CK Kwoh IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 | | 2023 |
| User-specific recommender systems: from data to model Z Lin Nanyang Technological University, 2022 | | 2022 |
| Feature Shapley: A general framework to discovering useful feature interactions Z Lin, B Ye, X He, S Sun, R Wang, R Yin, X Chi, CK Kwoh | | |
Chee Keong KWOHNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
