Search Results for author: Ziwen Wang

Found 9 papers, 1 papers with code

ACPO: AI-Enabled Compiler-Driven Program Optimization

no code implementations15 Dec 2023 Amir H. Ashouri, Muhammad Asif Manzoor, Duc Minh Vu, Raymond Zhang, Ziwen Wang, Angel Zhang, Bryan Chan, Tomasz S. Czajkowski, Yaoqing Gao

The key to performance optimization of a program is to decide correctly when a certain transformation should be applied by a compiler.

Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

no code implementations29 Mar 2023 Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun

In this paper, we propose a randomly projected convex clustering model for clustering a collection of $n$ high dimensional data points in $\mathbb{R}^d$ with $K$ hidden clusters.

Clustering

MixModule: Mixed CNN Kernel Module for Medical Image Segmentation

no code implementations19 Oct 2019 Henry H. Yu, Xue Feng, Hao Sun, Ziwen Wang

Convolutional neural networks (CNNs) have been successfully applied to medical image classification, segmentation, and related tasks.

Image Classification Image Segmentation +4

GetNet: Get Target Area for Image Pairing

no code implementations8 Oct 2019 Henry H. Yu, Jiang Liu, Hao Sun, Ziwen Wang, Haotian Zhang

Image pairing is an important research task in the field of computer vision.

Person Re-Identification

A novel Bayesian estimation-based word embedding model for sentiment analysis

no code implementations25 Sep 2019 Jingyao Tang, Yun Xue, Ziwen Wang, Haoliang Zhao

The word embedding models have achieved state-of-the-art results in a variety of natural language processing tasks.

Sentiment Analysis

Cross-Platform Modeling of Users' Behavior on Social Media

no code implementations23 Jun 2019 Haiqian Gu, Jie Wang, Ziwen Wang, Bojin Zhuang, Wenhao Bian, Fei Su

Structured and unstructured data of same users shared by NetEase Music and Sina Weibo have been collected for cross-platform analysis of correlations between music preference and other users' characteristics.

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