| DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services B Bai, Y Fan, W Tan, J Zhang TSC, 2020 | 135 | 2020 |
| Demographics should not be the reason of toxicity: Mitigating discrimination in text classifications with instance weighting G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao ACL 2020, 2020 | 80 | 2020 |
| Why Attentions May Not Be Interpretable? B Bai, J Liang, G Zhang, H Li, K Bai, F Wang KDD 2021, 2021 | 72 | 2021 |
| Hybrid differentially private federated learning on vertically partitioned data C Wang, J Liang, M Huang, B Bai, K Bai, H Li arXiv preprint, 2020 | 51 | 2020 |
| Uncertainty-aware Learning Against Label Noise on Imbalanced Datasets Y Huang, B Bai, S Zhao, K Bai, F Wang AAAI 2022, 2022 | 45 | 2022 |
| SeCo-LDA: Mining service co-occurrence topics for recommendation Z Gao, Y Fan, C Wu, W Tan, J Zhang, Y Ni, B Bai, S Chen ICWS 2016, 2016 | 39 | 2016 |
| A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations H Li, M Huang, B Bai, C Wang, K Bai, F Wang, X Zhu, B Zhao, G Liu, C Qi FTL-IJCAI 2021, 2021 | 38* | 2021 |
| Contrastive Multi-view Hyperbolic Hierarchical Clustering F Lin, B Bai, K Bai, Y Ren, P Zhao, Z Xu IJCAI 2022, 2022 | 36 | 2022 |
| General-purpose User Embeddings based on Mobile App Usage J Zhang, B Bai, Y Lin, J Liang, K Bai, F Wang KDD 2020, 2020 | 36 | 2020 |
| Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets G Zhang, B Bai, J Liang, K Bai, S Chang, M Yu, C Zhu, T Zhao ACL 2019, 2019 | 31 | 2019 |
| Service recommendation for mashup creation based on time-aware collaborative domain regression B Bai, Y Fan, K Huang, W Tan, B Xia, S Chen ICWS 2015, 2015 | 28 | 2015 |
| SeCo-LDA: Mining service co-occurrence topics for composition recommendation Z Gao, Y Fan, C Wu, W Tan, J Zhang, Y Ni, B Bai, S Chen TSC, 2018 | 24 | 2018 |
| Adversarial Infidelity Learning for Model Interpretation J Liang, B Bai, Y Cao, K Bai, F Wang KDD 2020, 2020 | 20 | 2020 |
| Boosting Graph Contrastive Learning via Graph Contrastive Saliency C Wei, Y Wang, B Bai, K Ni, D Brady, L Fang ICML 2023, 2023 | 19 | 2023 |
| SR-LDA: Mining effective representations for generating service ecosystem knowledge maps B Bai, Y Fan, W Tan, J Zhang SCC 2017, 2017 | 19 | 2017 |
| Dynamic Hypergraph Learning for Collaborative Filtering C Wei, J Liang, B Bai, D Liu CIKM 2022, 2022 | 18 | 2022 |
| Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations B Liu, B Bai, W Xie, Y Guo, H Chen KDD 2022, 2022 | 18 | 2022 |
| Read, attend, and exclude: multi-choice reading comprehension by mimicking human reasoning process C Zhang, C Luo, J Lu, A Liu, B Bai, K Bai, Z Xu SIGIR 2020, 2020 | 18 | 2020 |
| GSL4Rec: Session-based recommendations with collective graph structure learning and next interaction prediction C Wei, B Bai, K Bai, F Wang TheWebConf 2022, 2022 | 17 | 2022 |
| REST: Reciprocal framework for spatiotemporal-coupled predictions H Lin, Y Fan, J Zhang, B Bai TheWebConf 2021, 2021 | 16 | 2021 |
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