| Adversarial cross-modal retrieval B Wang, Y Yang, X Xu, A Hanjalic, HT Shen Proceedings of the 25th ACM international conference on Multimedia, 154-162, 2017 | 830 | 2017 |
| GraphFM: Improving large-scale GNN training via feature momentum H Yu, L Wang, B Wang, M Liu, T Yang, S Ji International Conference on Machine Learning, 25684-25701, 2022 | 36 | 2022 |
| Towards fair deep clustering with multi-state protected variables B Wang, I Davidson arXiv preprint arXiv:1901.10053, 2019 | 33 | 2019 |
| When auc meets dro: Optimizing partial auc for deep learning with non-convex convergence guarantee D Zhu, G Li, B Wang, X Wu, T Yang International Conference on Machine Learning, 27548-27573, 2022 | 31 | 2022 |
| IntSGD: Adaptive floatless compression of stochastic gradients K Mishchenko, B Wang, D Kovalev, P Richtárik International Conference on Learning Representations, 2022 | 31* | 2022 |
| Finite-sum coupled compositional stochastic optimization: Theory and applications B Wang, T Yang International Conference on Machine Learning, 23292-23317, 2022 | 31 | 2022 |
| Bidirectional discrete matrix factorization hashing for image search S He, B Wang, Z Wang, Y Yang, F Shen, Z Huang, HT Shen IEEE transactions on cybernetics 50 (9), 4157-4168, 2019 | 30 | 2019 |
| Riemannian stochastic proximal gradient methods for nonsmooth optimization over the Stiefel manifold B Wang, S Ma, L Xue Journal of machine learning research 23 (106), 1-33, 2022 | 22 | 2022 |
| Memory-based optimization methods for model-agnostic meta-learning and personalized federated learning B Wang, Z Yuan, Y Ying, T Yang Journal of Machine Learning Research 24 (145), 1-46, 2023 | 20* | 2023 |
| Optimal algorithms for stochastic multi-level compositional optimization W Jiang, B Wang, Y Wang, L Zhang, T Yang International Conference on Machine Learning, 10195-10216, 2022 | 18 | 2022 |
| Theoretically better and numerically faster distributed optimization with smoothness-aware quantization techniques B Wang, M Safaryan, P Richtárik Advances in Neural Information Processing Systems 35, 9841-9852, 2022 | 15* | 2022 |
| Provable multi-instance deep AUC maximization with stochastic pooling D Zhu, B Wang, Z Chen, Y Wang, M Sonka, X Wu, T Yang International Conference on Machine Learning, 43205-43227, 2023 | 4 | 2023 |
| Everything perturbed all at once: Enabling differentiable graph attacks H Liu, B Wang, J Wang, X Dong, T Yang, J Caverlee Companion Proceedings of the ACM on Web Conference 2024, 485-488, 2024 | 2 | 2024 |
| On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning B Wang, Y Lei, Y Ying, T Yang arXiv preprint arXiv:2410.09156, 2024 | | 2024 |
| ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization B Wang, T Yang arXiv preprint arXiv:2312.02277, 2023 | | 2023 |
