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2020 – today
- 2025
[i15]Vicente Balmaseda, Bokun Wang, Ching-Long Lin, Tianbao Yang:
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning. CoRR abs/2502.20612 (2025)- 2024
- [j5]Feng Qu, Bokun Wang, Qing Zhu, Fu Xu
, Yaojing Chen, Caiqian Yang:
Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network. Multim. Tools Appl. 83(31): 76935-76952 (2024) - [c9]Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee:
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) 2024: 485-488 - [i14]Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou:
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point. CoRR abs/2407.02610 (2024) - [i13]Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang:
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning. CoRR abs/2410.09156 (2024) - 2023
- [j4]Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang:
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning. J. Mach. Learn. Res. 24: 145:1-145:46 (2023) - [c8]Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang:
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. ICML 2023: 43205-43227 - [i12]Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang:
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR abs/2305.08040 (2023) - [i11]Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee:
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR abs/2308.15614 (2023) - [i10]Bokun Wang, Tianbao Yang:
ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization. CoRR abs/2312.02277 (2023) - 2022
- [j3]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. 23: 106:1-106:33 (2022) - [j2]Bokun Wang, Caiqian Yang:
Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder. Sensors 22(12): 4647 (2022) - [c7]Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik:
IntSGD: Adaptive Floatless Compression of Stochastic Gradients. ICLR 2022 - [c6]Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang:
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. ICML 2022: 10195-10216 - [c5]Bokun Wang, Tianbao Yang:
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications. ICML 2022: 23292-23317 - [c4]Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji:
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. ICML 2022: 25684-25701 - [c3]Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang:
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. ICML 2022: 27548-27573 - [c2]Bokun Wang, Mher Safaryan, Peter Richtárik:
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques. NeurIPS 2022 - [i9]Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang:
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. CoRR abs/2202.07530 (2022) - [i8]Bokun Wang, Tianbao Yang:
Finite-Sum Compositional Stochastic Optimization: Theory and Applications. CoRR abs/2202.12396 (2022) - [i7]Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang:
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. CoRR abs/2203.00176 (2022) - [i6]Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji:
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. CoRR abs/2206.07161 (2022) - 2021
- [i5]Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik:
IntSGD: Floatless Compression of Stochastic Gradients. CoRR abs/2102.08374 (2021) - [i4]Bokun Wang, Mher Safaryan, Peter Richtárik:
Smoothness-Aware Quantization Techniques. CoRR abs/2106.03524 (2021) - [i3]Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang:
Memory-based Optimization Methods for Model-Agnostic Meta-Learning. CoRR abs/2106.04911 (2021) - 2020
- [j1]Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen:
Bidirectional Discrete Matrix Factorization Hashing for Image Search. IEEE Trans. Cybern. 50(9): 4157-4168 (2020) - [i2]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR abs/2005.01209 (2020)
2010 – 2019
- 2019
- [i1]Bokun Wang, Ian Davidson:
Towards Fair Deep Clustering With Multi-State Protected Variables. CoRR abs/1901.10053 (2019) - 2017
- [c1]Bokun Wang, Yang Yang, Xing Xu, Alan Hanjalic, Heng Tao Shen:
Adversarial Cross-Modal Retrieval. ACM Multimedia 2017: 154-162
Coauthor Index
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