Search Results for author: Zhiqiang Hu

Found 19 papers, 10 papers with code

Towards Self-supervised and Weight-preserving Neural Architecture Search

1 code implementation8 Jun 2022 Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas

In this work, we propose the self-supervised and weight-preserving neural architecture search (SSWP-NAS) as an extension of the current NAS framework by allowing the self-supervision and retaining the concomitant weights discovered during the search stage.

Neural Architecture Search

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

1 code implementation21 Jan 2022 Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris Metaxas, Tingting Jiang

Medical image segmentation has been widely recognized as a pivot procedure for clinical diagnosis, analysis, and treatment planning.

Contrastive Learning feature selection +2

Improving Text Auto-Completion with Next Phrase Prediction

no code implementations Findings (EMNLP) 2021 Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee

Language models such as GPT-2 have performed well on constructing syntactically sound sentences for text auto-completion task.

Language Modelling

Syntax Matters! Syntax-Controlled in Text Style Transfer

no code implementations RANLP 2021 Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal

Existing text style transfer (TST) methods rely on style classifiers to disentangle the text's content and style attributes for text style transfer.

Style Transfer Text Style Transfer

Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation

1 code implementation8 Jul 2021 Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang

For example, STFT improves the still image baseline FCOS by 10. 6% and 20. 6% on the comprehensive F1-score of the polyp localization task in CVC-Clinic and ASUMayo datasets, respectively, and outperforms the state-of-the-art video-based method by 3. 6% and 8. 0%, respectively.

Hybrid Supervision Learning for Pathology Whole Slide Image Classification

1 code implementation2 Jul 2021 Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang

To handle this problem, we propose a hybrid supervision learning framework for this kind of high resolution images with sufficient image-level coarse annotations and a few pixel-level fine labels.

Classification Image Classification +2

Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

1 code implementation14 May 2021 Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang

The study of multi-type Protein-Protein Interaction (PPI) is fundamental for understanding biological processes from a systematic perspective and revealing disease mechanisms.

DeepStyle: User Style Embedding for Authorship Attribution of Short Texts

no code implementations14 Mar 2021 Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai

Authorship attribution (AA), which is the task of finding the owner of a given text, is an important and widely studied research topic with many applications.

Text Classification

Text Style Transfer: A Review and Experimental Evaluation

2 code implementations24 Oct 2020 Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang

This article aims to provide a comprehensive review of recent research efforts on text style transfer.

Style Transfer Text Style Transfer

Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets

no code implementations17 Aug 2020 Rui Huang, Yuanjie Zheng, Zhiqiang Hu, Shaoting Zhang, Hongsheng Li

In most scenarios, one might obtain annotations of a single or a few organs from one training set, and obtain annotations of the the other organs from another set of training images.

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

no code implementations3 Apr 2020 Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang

To this end, we have developed SenseCare research platform for smart healthcare, which is designed to boost translational research on intelligent diagnosis and treatment planning in various clinical scenarios.

Human-Computer Interaction Image and Video Processing

Accurate Nuclear Segmentation with Center Vector Encoding

no code implementations9 Jul 2019 Jiahui Li, Zhiqiang Hu, Shuang Yang

Nuclear segmentation is important and frequently demanded for pathology image analysis, yet is also challenging due to nuclear crowdedness and possible occlusion.

Nuclear Segmentation

Signet Ring Cell Detection With a Semi-supervised Learning Framework

1 code implementation9 Jul 2019 Jiahui Li, Shuang Yang, Xiaodi Huang, Qian Da, Xiaoqun Yang, Zhiqiang Hu, Qi Duan, Chaofu Wang, Hongsheng Li

Our framework achieves accurate signet ring cell detection and can be readily applied in the clinical trails.

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

1 code implementation NeurIPS 2018 Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John Hopcroft

The theory gives a complete characterization of the structure of neuron activation subspace matches, where the core concepts are maximum match and simple match which describe the overall and the finest similarity between sets of neurons in two networks respectively.

Learning to Navigate for Fine-grained Classification

5 code implementations ECCV 2018 Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Li-Wei Wang

In consideration of intrinsic consistency between informativeness of the regions and their probability being ground-truth class, we design a novel training paradigm, which enables Navigator to detect most informative regions under the guidance from Teacher.

Classification Fine-Grained Image Classification +2

The Expressive Power of Neural Networks: A View from the Width

1 code implementation NeurIPS 2017 Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Li-Wei Wang

That is, there are classes of deep networks which cannot be realized by any shallow network whose size is no more than an exponential bound.

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