Bokun Wang

According to our database, Bokun Wang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network.

Feng Qu, Bokun Wang, Qing Zhu, Fu Xu, Yaojing Chen, Caiqian Yang

Multim. Tools Appl., September, 2024

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning.

Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang

CoRR, 2024

Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point.

Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou

CoRR, 2024

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.

Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.

Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang

J. Mach. Learn. Res., 2023

ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization.

Bokun Wang, Tianbao Yang

CoRR, 2023

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling.

Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2023

2022

Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder.

Bokun Wang, Caiqian Yang

Sensors, 2022

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold.

Bokun Wang, Shiqian Ma, Lingzhou Xue

J. Mach. Learn. Res., 2022

Finite-Sum Compositional Stochastic Optimization: Theory and Applications.

Bokun Wang, Tianbao Yang

CoRR, 2022

Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques.

Bokun Wang, Mher Safaryan, Peter Richtárik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee.

Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

GraphFM: Improving Large-Scale GNN Training via Feature Momentum.

Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2022

Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications.

Bokun Wang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization.

Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang

Proceedings of the International Conference on Machine Learning, 2022

IntSGD: Adaptive Floatless Compression of Stochastic Gradients.

Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Memory-based Optimization Methods for Model-Agnostic Meta-Learning.

Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang

CoRR, 2021

Smoothness-Aware Quantization Techniques.

Bokun Wang, Mher Safaryan, Peter Richtárik

CoRR, 2021

IntSGD: Floatless Compression of Stochastic Gradients.

Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik

CoRR, 2021

2020

Bidirectional Discrete Matrix Factorization Hashing for Image Search.

Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen

IEEE Trans. Cybern., 2020

2019

Towards Fair Deep Clustering With Multi-State Protected Variables.

Bokun Wang, Ian Davidson

CoRR, 2019

2017

Adversarial Cross-Modal Retrieval.

Bokun Wang, Yang Yang, Xing Xu, Alan Hanjalic, Heng Tao Shen

Proceedings of the 2017 ACM on Multimedia Conference, 2017