Bokun Wang - RankMe

39 papers A* 11B 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk Minimization. CoRR Xiyuan Wei, Linli Zhou, Bokun Wang, Chih-Jen Lin, Tianbao Yang
2026	J	`jnl`	Training-free Latent Inter-Frame Pruning with Attention Recovery. CoRR Dennis Menn, Yuedong Yang, Bokun Wang, Xiwen Wei, Mustafa Munir, Feng Liang, Radu Marculescu, Chenfeng Xu, Diana Marculescu
2025	A*	`conf`	A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization. ICML Bokun Wang, Tianbao Yang
2025	A*	`conf`	Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning. ICML Vicente Balmaseda, Bokun Wang, Ching-Long Lin, Tianbao Yang
2025	J	`jnl`	Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning. CoRR Vicente Balmaseda, Bokun Wang, Ching-Long Lin, Tianbao Yang
2025	J	`jnl`	ELANA: A Simple Energy and Latency Analyzer for LLMs. CoRR Hung-Yueh Chiang, Bokun Wang, Diana Marculescu
2025	B	`conf`	FlexFFN: Hierarchical Dynamic Selection of Feedforward Networks for Large Language Models. IJCNN Miaobo Hu, Bokun Wang, Haoyuan Teng, Hongyu Yao, Daren Zha, Xin Wang, Jun Xiao, Lei Wang
2025	A*	`conf`	On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning. ICLR Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang
2025	J	`jnl`	Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization. CoRR Xingyu Chen, Bokun Wang, Min Yang, Quanqi Hu, Qihang Lin, Tianbao Yang
2025	J	`jnl`	Stochastic Primal-Dual Double Block-Coordinate for Two- way Partial AUC Maximization. Trans. Mach. Learn. Res. Linli Zhou, Bokun Wang, My T. Thai, Tianbao Yang
2025	J	`jnl`	Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization. CoRR Linli Zhou, Bokun Wang, My T. Thai, Tianbao Yang
2024	—	`conf`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. WWW (Companion Volume) Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2024	J	`jnl`	On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning. CoRR Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang
2024	J	`jnl`	Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network. Multim. Tools Appl. Feng Qu, Bokun Wang, Qing Zhu, Fu Xu, Yaojing Chen, Caiqian Yang
2024	J	`jnl`	Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point. CoRR Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou
2023	J	`jnl`	ALEXR: Optimal Single-Loop Algorithms for Convex Finite-Sum Coupled Compositional Stochastic Optimization. CoRR Bokun Wang, Tianbao Yang
2023	J	`jnl`	Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. CoRR Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee
2023	J	`jnl`	Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning. J. Mach. Learn. Res. Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang
2023	A*	`conf`	Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. ICML Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
2023	J	`jnl`	Provable Multi-instance Deep AUC Maximization with Stochastic Pooling. CoRR Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang
2022	J	`jnl`	Finite-Sum Compositional Stochastic Optimization: Theory and Applications. CoRR Bokun Wang, Tianbao Yang
2022	A*	`conf`	Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications. ICML Bokun Wang, Tianbao Yang
2022	A*	`conf`	GraphFM: Improving Large-Scale GNN Training via Feature Momentum. ICML Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
2022	J	`jnl`	GraphFM: Improving Large-Scale GNN Training via Feature Momentum. CoRR Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
2022	A*	`conf`	IntSGD: Adaptive Floatless Compression of Stochastic Gradients. ICLR Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik
2022	A*	`conf`	Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. ICML Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang
2022	J	`jnl`	Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. CoRR Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang
2022	J	`jnl`	Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. Bokun Wang, Shiqian Ma, Lingzhou Xue
2022	A*	`conf`	Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques. NeurIPS Bokun Wang, Mher Safaryan, Peter Richtárik
2022	J	`jnl`	Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder. Sensors Bokun Wang, Caiqian Yang
2022	A*	`conf`	When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. ICML Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
2022	J	`jnl`	When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee. CoRR Dixian Zhu, Gang Li, Bokun Wang, Xiaodong Wu, Tianbao Yang
2021	J	`jnl`	IntSGD: Floatless Compression of Stochastic Gradients. CoRR Konstantin Mishchenko, Bokun Wang, Dmitry Kovalev, Peter Richtárik
2021	J	`jnl`	Memory-based Optimization Methods for Model-Agnostic Meta-Learning. CoRR Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang
2021	J	`jnl`	Smoothness-Aware Quantization Techniques. CoRR Bokun Wang, Mher Safaryan, Peter Richtárik
2020	J	`jnl`	Bidirectional Discrete Matrix Factorization Hashing for Image Search. IEEE Trans. Cybern. Shiyuan He, Bokun Wang, Zheng Wang, Yang Yang, Fumin Shen, Zi Huang, Heng Tao Shen
2020	J	`jnl`	Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR Bokun Wang, Shiqian Ma, Lingzhou Xue
2019	J	`jnl`	Towards Fair Deep Clustering With Multi-State Protected Variables. CoRR Bokun Wang, Ian Davidson
2017	A*	`conf`	Adversarial Cross-Modal Retrieval. ACM Multimedia Bokun Wang, Yang Yang, Xing Xu, Alan Hanjalic, Heng Tao Shen