Wang Lu | DeepAI

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Featured Co-authors

Tao Qin
134 publications
Xing Xie
128 publications
Xiang Zhang
122 publications
Qiang Yang
103 publications
Han Yu
94 publications
Xiangyang Ji
79 publications
Jindong Wang
58 publications
Lei Huang
49 publications
Haoliang Li
38 publications
Xinwei Sun
29 publications
Yiqiang Chen
27 publications

∙ 08/04/2023

DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization

Time series remains one of the most challenging modalities in machine le...

0 Wang Lu, et al. ∙

∙ 02/27/2023

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

Federated learning (FL) has emerged as a new paradigm for privacy-preser...

0 Wang Lu, et al. ∙

∙ 11/07/2022

FIXED: Frustratingly Easy Domain Generalization with Mixup

Domain generalization (DG) aims to learn a generalizable model from mult...

0 Wang Lu, et al. ∙

∙ 09/15/2022

Generalized Representations Learning for Time Series Classification

Time series classification is an important problem in real world. Due to...

0 Wang Lu, et al. ∙

∙ 09/01/2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution

The distribution shifts between training and test data typically undermi...

0 Wang Lu, et al. ∙

∙ 07/25/2022

Domain-invariant Feature Exploration for Domain Generalization

Deep learning has achieved great success in the past few years. However,...

0 Wang Lu, et al. ∙

∙ 07/21/2022

Domain Generalization for Activity Recognition via Adaptive Feature Fusion

Human activity recognition requires the efforts to build a generalizable...

0 Xin Qin, et al. ∙

∙ 06/17/2022

MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare

Federated learning has attracted increasing attention to building models...

0 Yiqiang Chen, et al. ∙

∙ 06/14/2022

Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition

It is expensive and time-consuming to collect sufficient labeled data to...

0 Wang Lu, et al. ∙

∙ 12/01/2021

Federated Learning with Adaptive Batchnorm for Personalized Healthcare

There is a growing interest in applying machine learning techniques for ...

0 Yiqiang Chen, et al. ∙

∙ 06/02/2021

FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare

The success of machine learning applications often needs a large quantit...

0 Yiqiang Chen, et al. ∙

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