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Bokun Wang
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Year
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
8222017
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
462022
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
332022
Towards fair deep clustering with multi-state protected variables
B Wang, I Davidson
arXiv preprint arXiv:1901.10053, 2019
332019
Finite-sum coupled compositional stochastic optimization: Theory and applications
B Wang, T Yang
International Conference on Machine Learning, 23292-23317, 2022
322022
IntSGD: Adaptive floatless compression of stochastic gradients
K Mishchenko, B Wang, D Kovalev, P Richtárik
International Conference on Learning Representations, 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
292019
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
222022
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
21*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
202022
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
14*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
42023
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 Web Conference 2024, 485-488, 2024
32024
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: An Optimal Single-Loop Algorithm for Convex Finite-Sum Coupled Compositional Stochastic Optimization
B Wang, T Yang
arXiv preprint arXiv:2312.02277, 2023
2023
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Articles 1–15