Publications (198)
Streaming Local Community Detection through Approximate Conductance
Yanhao Yang, Meng Wang, David Bindel +1
Community is a universal structure in various complex networks, and community detection is a fundamental task for network analysis. With the rapid growth of network scale, networks…
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
Hanwen Cao, Haobo Lu, Xiaosen Wang +1
Ensemble-based attacks have been proven to be effective in enhancing adversarial transferability by aggregating the outputs of models with various architectures. However, existing…
A New Anchor Word Selection Method for the Separable Topic Discovery
Kun He, Wu Wang, Xiaosen Wang +1
Separable Non-negative Matrix Factorization (SNMF) is an important method for topic modeling, where "separable" assumes every topic contains at least one anchor word, defined as a…
Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training
Qi Feng, Kun He, He Wen +2
Pose estimation of the human body and hands is a fundamental problem in computer vision, and learning-based solutions require a large amount of annotated data. In this work, we imp…
You Only Need Less Attention at Each Stage in Vision Transformers
Shuoxi Zhang, Hanpeng Liu, Stephen Lin +1
The advent of Vision Transformers (ViTs) marks a substantial paradigm shift in the realm of computer vision. ViTs capture the global information of images through self-attention mo…
Tight bounds for popping algorithms
Heng Guo, Kun He
We sharpen run-time analysis for algorithms under the partial rejection sampling framework. Our method yields improved bounds for: the cluster-popping algorithm for approximating a…