Haoxiang Wang | DeepAI

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Bo Li
461 publications
Qiang Liu
190 publications
Yang Yu
155 publications
Lei Yang
117 publications
Tao Yu
92 publications
Soumik Sarkar
71 publications
Chao Liu
59 publications
Han Zhao
55 publications
Aryan Mokhtari
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Mao Ye
37 publications
Qionghai Dai
37 publications

∙ 09/04/2023

ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction

This paper proposes a hybrid radiance field representation for unbounded...

0 Xiaohang Yu, et al. ∙

∙ 04/11/2023

Federated Learning with Classifier Shift for Class Imbalance

Federated learning aims to learn a global model collaboratively while th...

0 Yunheng Shen, et al. ∙

∙ 12/09/2022

AuE-IPA: An AU Engagement Based Infant Pain Assessment Method

Recent studies have found that pain in infancy has a significant impact ...

0 Mingze Sun, et al. ∙

∙ 11/30/2022

Predicting Properties of Quantum Systems with Conditional Generative Models

Machine learning has emerged recently as a powerful tool for predicting ...

0 Haoxiang Wang, et al. ∙

∙ 10/23/2022

Attention Based Relation Network for Facial Action Units Recognition

Facial action unit (AU) recognition is essential to facial expression an...

0 Yao Wei, et al. ∙

∙ 09/02/2022

Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems

One of the key challenges of learning an online recommendation model is ...

15 Mao Ye, et al. ∙

∙ 08/28/2022

Asynchronous Training Schemes in Distributed Learning with Time Delay

In the context of distributed deep learning, the issue of stale weights ...

0 Haoxiang Wang, et al. ∙

∙ 04/18/2022

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond

The vast majority of existing algorithms for unsupervised domain adaptat...

0 Haoxiang Wang, et al. ∙

∙ 03/17/2022

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

Model-agnostic meta-learning (MAML) and its variants have become popular...

0 Haoxiang Wang, et al. ∙

∙ 01/30/2022

Provable Domain Generalization via Invariant-Feature Subspace Recovery

Domain generalization asks for models trained on a set of training envir...

0 Haoxiang Wang, et al. ∙

∙ 06/16/2021

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

Multi-task learning (MTL) aims to improve the generalization of several ...

0 Haoxiang Wang, et al. ∙

∙ 11/12/2020

Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective

Smart meter devices enable a better understanding of the demand at the p...

0 Haoxiang Wang, et al. ∙

∙ 06/25/2020

Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets

Gradient-based meta-learning (GBML) with deep neural nets (DNNs) has bec...

21 Haoxiang Wang, et al. ∙

∙ 12/12/2019

Robust Data-driven Profile-based Pricing Schemes

To enable an efficient electricity market, a good pricing scheme is of v...

0 Jingshi Cui, et al. ∙

∙ 11/18/2019

Vulnerability Analysis for Data Driven Pricing Schemes

Data analytics and machine learning techniques are being rapidly adopted...

0 Jingshi Cui, et al. ∙

∙ 06/22/2017

A Novel VHR Image Change Detection Algorithm Based on Image Fusion and Fuzzy C-Means Clustering

This thesis describes a study to perform change detection on Very High R...

0 Rongcui Dong, et al. ∙

∙ 12/14/2016

Super-resolution Reconstruction of SAR Image based on Non-Local Means Denoising Combined with BP Neural Network

In this article, we propose a super-resolution method to resolve the pro...

0 Zeling Wu, et al. ∙

∙ 04/22/2016

Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function

In this paper we study the problem of content-based image retrieval. In ...

0 Ru-Ze Liang, et al. ∙

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