Zuozhu Liu | DeepAI

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H. Vincent Poor
346 publications
Yan Zhang
195 publications
Bin Wang
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Haizhou Li
150 publications
Yang Feng
127 publications
Yarin Gal
126 publications
Wei Lu
117 publications
Tony Q. S. Quek
105 publications
Mingli Song
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Lidong Bing
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Jenq-Neng Hwang
55 publications

∙ 09/20/2023

3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images

Accurate representation of tooth position is extremely important in trea...

0 Yifu Zhang, et al. ∙

∙ 07/05/2023

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis

Zero-shot medical image classification is a critical process in real-wor...

0 Jiaxiang Liu, et al. ∙

∙ 07/05/2023

ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images

In computer-assisted orthodontics, three-dimensional tooth models are re...

0 Jiaxiang Liu, et al. ∙

∙ 06/08/2023

On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning

Though Self-supervised learning (SSL) has been widely studied as a promi...

0 Jianhong Bai, et al. ∙

∙ 02/15/2023

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

Cross-view multi-object tracking aims to link objects between frames and...

0 Shenghao Hao, et al. ∙

∙ 10/30/2022

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework

Most sentence embedding techniques heavily rely on expensive human-annot...

0 Yiming Chen, et al. ∙

∙ 10/29/2022

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer

Optical Intra-oral Scanners (IOS) are widely used in digital dentistry, ...

0 Huimin Xiong, et al. ∙

∙ 08/22/2022

Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning

Long-tailed learning aims to tackle the crucial challenge that head clas...

0 Hualiang Wang, et al. ∙

∙ 06/30/2022

Towards Federated Long-Tailed Learning

Data privacy and class imbalance are the norm rather than the exception ...

0 Zihan Chen, et al. ∙

∙ 03/11/2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

A critical step in virtual dental treatment planning is to accurately de...

0 Jin Hao, et al. ∙

∙ 02/17/2022

Federated Stochastic Gradient Descent Begets Self-Induced Momentum

Federated learning (FL) is an emerging machine learning method that can ...

0 Howard H. Yang, et al. ∙

∙ 08/13/2021

Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking

Vehicle tracking is an essential task in the multi-object tracking (MOT)...

0 Gaoang Wang, et al. ∙

∙ 10/09/2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation

AMR-to-text generation is used to transduce Abstract Meaning Representat...

0 Yan Zhang, et al. ∙

∙ 09/25/2020

An Unsupervised Sentence Embedding Method byMutual Information Maximization

BERT is inefficient for sentence-pair tasks such as clustering or semant...

0 Yan Zhang, et al. ∙

∙ 11/25/2019

Biologically Plausible Sequence Learning with Spiking Neural Networks

Motivated by the celebrated discrete-time model of nervous activity outl...

38 Zuozhu Liu, et al. ∙

∙ 08/17/2019

Scheduling Policies for Federated Learning in Wireless Networks

Motivated by the increasing computational capacity of wireless user equi...

0 Howard H. Yang, et al. ∙

∙ 12/04/2017

Vprop: Variational Inference using RMSprop

Many computationally-efficient methods for Bayesian deep learning rely o...

0 Mohammad Emtiyaz Khan, et al. ∙

∙ 11/21/2017

Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks

The quest for biologically plausible deep learning is driven, not just b...

0 Zuozhu Liu, et al. ∙

∙ 11/15/2017

Variational Adaptive-Newton Method for Explorative Learning

We present the Variational Adaptive Newton (VAN) method which is a black...

0 Mohammad Emtiyaz Khan, et al. ∙

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