| Robust multi-network clustering via joint cross-domain cluster alignment R Liu, W Cheng, H Tong, W Wang, X Zhang 2015 IEEE International Conference on Data Mining, 291-300, 2015 | 28 | 2015 |
| Adam with Bandit Sampling for Deep Learning R Liu, T Wu, B Mozafari Advances in Neural Information Processing Systems 33, 2020 | 23 | 2020 |
| Coverage-centric Coreset Selection for High Pruning Rates H Zheng, R Liu, F Lai, A Prakash arXiv preprint arXiv:2210.15809, 2022 | 21 | 2022 |
| A bandit approach to maximum inner product search R Liu, T Wu, B Mozafari Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4376-4383, 2019 | 16 | 2019 |
| Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers R Liu, YJ Kim, A Muzio, H Hassan International Conference on Machine Learning, 13782-13792, 2022 | 15 | 2022 |
| Rankboost+: An Improvement to Rankboost H Connamacher, N Pancha, R Liu, S Ray Machine Learning/ECML, 2019 | 8 | 2019 |
| Communication-efficient Distributed Learning for Large Batch Optimization R Liu, B Mozafari International Conference on Machine Learning, 13925-13946, 2022 | 5 | 2022 |
| Transformer with memory replay R Liu, B Mozafari Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7567-7575, 2022 | 3 | 2022 |
| An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning R Liu, S Ray 2017 IEEE International Conference on Data Mining (ICDM), 287-296, 2017 | 3 | 2017 |
| {AdaEmbed}: Adaptive Embedding for {Large-Scale} Recommendation Models F Lai, W Zhang, R Liu, W Tsai, X Wei, Y Hu, S Devkota, J Huang, J Park, ... 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2023 | 1 | 2023 |
| Why Boosting Works: Analyses for Noisy Classification and Ranking Problems R Liu Case Western Reserve University, 2017 | 1 | 2017 |
