Search Results for author: Zhanyu Wang

Found 10 papers, 2 papers with code

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies

no code implementations12 Oct 2022 Zhanyu Wang, Guang Cheng, Jordan Awan

We analyze a DP bootstrap procedure that releases multiple private bootstrap estimates to infer the sampling distribution and construct confidence intervals.

MICO: Selective Search with Mutual Information Co-training

1 code implementation COLING 2022 Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi

In contrast to traditional exhaustive search, selective search first clusters documents into several groups before all the documents are searched exhaustively by a query, to limit the search executed within one group or only a few groups.


A Medical Semantic-Assisted Transformer for Radiographic Report Generation

no code implementations22 Aug 2022 Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou

Automated radiographic report generation is a challenging cross-domain task that aims to automatically generate accurate and semantic-coherence reports to describe medical images.

Image Captioning Medical Report Generation

CLIP4Caption ++: Multi-CLIP for Video Caption

no code implementations11 Oct 2021 Mingkang Tang, Zhanyu Wang, Zhaoyang Zeng, Fengyun Rao, Dian Li

We make the following improvements on the proposed CLIP4Caption++: We employ an advanced encoder-decoder model architecture X-Transformer as our main framework and make the following improvements: 1) we utilize three strong pre-trained CLIP models to extract the text-related appearance visual features.

A Self-Boosting Framework for Automated Radiographic Report Generation

no code implementations CVPR 2021 Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li

On one hand, the image-text matching branch helps to learn highly text-correlated visual features for the report generation branch to output high quality reports.

Image Captioning Medical Report Generation +2

Variance Reduction on General Adaptive Stochastic Mirror Descent

no code implementations26 Dec 2020 Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng

In this work, we investigate the idea of variance reduction by studying its properties with general adaptive mirror descent algorithms in nonsmooth nonconvex finite-sum optimization problems.

Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing

no code implementations5 Jul 2020 Chi-Hua Wang, Zhanyu Wang, Will Wei Sun, Guang Cheng

In this paper, we propose a novel approach for designing dynamic pricing policy based regularized online statistical learning with theoretical guarantees.

Directional Pruning of Deep Neural Networks

1 code implementation NeurIPS 2020 Shih-Kang Chao, Zhanyu Wang, Yue Xing, Guang Cheng

In the light of the fact that the stochastic gradient descent (SGD) often finds a flat minimum valley in the training loss, we propose a novel directional pruning method which searches for a sparse minimizer in or close to that flat region.

The Sample Complexity of Meta Sparse Regression

no code implementations22 Feb 2020 Zhanyu Wang, Jean Honorio

A key difference between meta-learning and the classical multi-task learning, is that meta-learning focuses only on the recovery of the parameters of the novel task, while multi-task learning estimates the parameter of all tasks, which requires l to grow with T .

Few-Shot Learning Multi-Task Learning +1

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