Boyu Wang

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Western University ∙ Princeton University ∙ Stony Brook University

Invariant Feature Learning for Sensor-based Human Activity Recognition

Wearable sensor-based human activity recognition (HAR) has been a resear...
12/14/2020 ∙ by Yujiao Hao, et al. ∙ 0 ∙ share

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Uncertainty Estimation and Sample Selection for Crowd Counting

We present a method for image-based crowd counting, one that can predict...
09/30/2020 ∙ by Viresh Ranjan, et al. ∙ 15 ∙ share

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Distribution Matching for Crowd Counting

In crowd counting, each training image contains multiple people, where e...
09/28/2020 ∙ by Boyu Wang, et al. ∙ 4 ∙ share

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Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence

We reveal the incoherence between the widely-adopted empirical domain ad...
07/30/2020 ∙ by Changjian Shui, et al. ∙ 5 ∙ share

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Domain Generalization with Optimal Transport and Metric Learning

Generalizing knowledge to unseen domains, where data and labels are unav...
07/21/2020 ∙ by Fan Zhou, et al. ∙ 22 ∙ share

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Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting

Policy gradient methods have shown success in learning control policies ...
07/14/2020 ∙ by Jorge A. Mendez, et al. ∙ 15 ∙ share

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Discriminative Active Learning for Domain Adaptation

Domain Adaptation aiming to learn a transferable feature between differe...
05/24/2020 ∙ by Fan Zhou, et al. ∙ 10 ∙ share

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MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing

Seed scheduling is a prominent factor in determining the yields of hybri...
02/20/2020 ∙ by Yaohui Chen, et al. ∙ 3 ∙ share

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Multi-view Subspace Clustering via Partition Fusion

Multi-view clustering is an important approach to analyze multi-view dat...
12/03/2019 ∙ by Juncheng Lv, et al. ∙ 2 ∙ share

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Deep Active Learning: Unified and Principled Method for Query and Training

In this paper, we proposed a unified and principled method for both quer...
11/20/2019 ∙ by Changjian Shui, et al. ∙ 0 ∙ share

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Efficient Projection-Free Online Methods with Stochastic Recursive Gradient

This paper focuses on projection-free methods for solving smooth Online ...
10/21/2019 ∙ by Jiahao Xie, et al. ∙ 0 ∙ share

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Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning

This paper focuses on projection-free methods for solving smooth Online ...
10/21/2019 ∙ by Jiahao Xie, et al. ∙ 0 ∙ share

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Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images

This extended abstract presents a visualization system, which is designe...
10/10/2019 ∙ by Xinyi Huang, et al. ∙ 0 ∙ share

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Clustering with Similarity Preserving

Graph-based clustering has shown promising performance in many tasks. A ...
05/21/2019 ∙ by Zhao Kang, et al. ∙ 12 ∙ share

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A Principled Approach for Learning Task Similarity in Multitask Learning

Multitask learning aims at solving a set of related tasks simultaneously...
03/21/2019 ∙ by Changjian Shui, et al. ∙ 0 ∙ share

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When to Preempt? Age of Information Minimization under Link Capacity Constraint

In this paper, we consider a scenario where a source continuously monito...
12/11/2018 ∙ by Boyu Wang, et al. ∙ 0 ∙ share

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To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint

Consider a scenario where a source continuously monitors an object and s...
06/22/2018 ∙ by Boyu Wang, et al. ∙ 0 ∙ share

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X-ray Scattering Image Classification Using Deep Learning

Visual inspection of x-ray scattering images is a powerful technique for...
11/10/2016 ∙ by Boyu Wang, et al. ∙ 0 ∙ share

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Boyu Wang

Featured Co-authors

Wei Xu

Chao Zhang

Mubarak Shah

Jing Yang

Zenglin Xu

Dimitris Samaras

Qi Chen

Zhao Kang

Christian Gagné

Minh Hoai

Fan Zhou

Invariant Feature Learning for Sensor-based Human Activity Recognition

Uncertainty Estimation and Sample Selection for Crowd Counting

Distribution Matching for Crowd Counting

Beyond ℋ-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence

Domain Generalization with Optimal Transport and Metric Learning

Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting

Discriminative Active Learning for Domain Adaptation

MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing

Multi-view Subspace Clustering via Partition Fusion

Deep Active Learning: Unified and Principled Method for Query and Training

Efficient Projection-Free Online Methods with Stochastic Recursive Gradient

Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning

Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images

Clustering with Similarity Preserving

A Principled Approach for Learning Task Similarity in Multitask Learning

When to Preempt? Age of Information Minimization under Link Capacity Constraint

To Skip or to Switch? Minimizing Age of Information under Link Capacity Constraint

X-ray Scattering Image Classification Using Deep Learning