Chunhui Zhang | DeepAI

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Li Liu
154 publications
Ning Zhang
109 publications
Chao Huang
95 publications
Yanfeng Wang
79 publications
Xin Sun
45 publications
Guangxu Zhu
42 publications
Jundong Li
42 publications
Xiang Wan
40 publications
Nitesh V. Chawla
37 publications
Dan Zeng
31 publications
Xi Zhou
30 publications

∙ 09/07/2023

Promoting Fairness in GNNs: A Characterization of Stability

The Lipschitz bound, a technique from robust statistics, can limit the m...

0 Yaning Jia, et al. ∙

∙ 07/07/2023

All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment

Current mainstream vision-language (VL) tracking framework consists of t...

0 Chunhui Zhang, et al. ∙

∙ 05/14/2023

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Artificial intelligence (AI) is evolving towards artificial general inte...

0 Chunhui Zhang, et al. ∙

∙ 12/08/2022

Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning

Well-annotated medical datasets enable deep neural networks (DNNs) to ga...

0 Yixiong Chen, et al. ∙

∙ 10/12/2022

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

Graph neural networks (GNNs) have shown remarkable performance on divers...

0 Zhichun Guo, et al. ∙

∙ 10/10/2022

HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining

The self-supervised ultrasound (US) video model pretraining can use a sm...

0 Chunhui Zhang, et al. ∙

∙ 10/01/2022

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning

Even pruned by the state-of-the-art network compression methods, Graph N...

0 Chunhui Zhang, et al. ∙

∙ 09/30/2022

Contrastive Graph Few-Shot Learning

Prevailing deep graph learning models often suffer from label sparsity i...

0 Chunhui Zhang, et al. ∙

∙ 09/16/2022

Adversarial Cross-View Disentangled Graph Contrastive Learning

Graph contrastive learning (GCL) is prevalent to tackle the supervision ...

0 Qianlong Wen, et al. ∙

∙ 08/21/2022

Heterogeneous Graph Masked Autoencoders

Generative self-supervised learning (SSL), especially masked autoencoder...

0 Yijun Tian, et al. ∙

∙ 05/19/2022

Label-invariant Augmentation for Semi-Supervised Graph Classification

Recently, contrastiveness-based augmentation surges a new climax in the ...

0 Han Yue, et al. ∙

∙ 02/23/2022

Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search

Neural networks often encounter various stringent resource constraints w...

0 Chunhui Zhang, et al. ∙

∙ 01/19/2022

WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking

In this work, we contribute a new million-scale Unmanned Aerial Vehicle ...

0 Chunhui Zhang, et al. ∙

∙ 03/23/2021

Student Network Learning via Evolutionary Knowledge Distillation

Knowledge distillation provides an effective way to transfer knowledge v...

0 Kangkai Zhang, et al. ∙

∙ 11/25/2020

Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning

Most deep neural networks (DNNs) based ultrasound (US) medical image ana...

0 Yixiong Chen, et al. ∙

∙ 11/06/2020

FDNAS: Improving Data Privacy and Model Diversity in AutoML

To prevent the leakage of private information while enabling automated m...

0 Chunhui Zhang, et al. ∙

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