activity
20192026
most citedTowards Fair Deep Clustering With Multi-State Protected Variables

11 citations · 11 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery

Dennis Menn, Yuedong Yang, Bokun Wang +6

Current video generation models suffer from high computational latency, making real-time applications prohibitively costly. In this paper, we address this limitation by exploiting…

cs.DC2025

ELANA: A Simple Energy and Latency Analyzer for LLMs

Hung-Yueh Chiang, Bokun Wang, Diana Marculescu

The latency and power consumption of large language models (LLMs) are major constraints when serving them across a wide spectrum of hardware platforms, from mobile edge devices to…

cs.LG2025

Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization

Xingyu Chen, Bokun Wang, Ming Yang +2

Finite-sum Coupled Compositional Optimization (FCCO), characterized by its coupled compositional objective structure, emerges as an important optimization paradigm for addressing a…

cs.LG2025

Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization

Linli Zhou, Bokun Wang, My T. Thai +1

Two-way partial AUC (TPAUC) is a critical performance metric for binary classification with imbalanced data, as it focuses on specific ranges of the true positive rate (TPR) and fa…

cs.LG2025

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

Vicente Balmaseda, Bokun Wang, Ching-Long Lin +1

In self-supervised contrastive learning, negative pairs are typically constructed using an anchor image and a sample drawn from the entire dataset, excluding the anchor. However, t…

cs.LG2024

On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning

Bokun Wang, Yunwen Lei, Yiming Ying +1

We study the discriminative probabilistic modeling on a continuous domain for the data prediction task of (multimodal) self-supervised representation learning. To address the chall…