Jie Wang

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UMass Lowell ∙ Arizona State University ∙ Stanford University ∙ USTC

Professor at University of Science and Technology of China (USTC), PhD in computational science in 2011 from the Florida State University, postdoctoral work at Arizona State University followed by the University of Michigan, research assistant professor at University of Michigan from 2015.

Featured Co-authors

Wei Liu
187 publications
Wei Li
105 publications
Jian Yang
59 publications
Hao Zhang
58 publications
Jieping Ye
57 publications
Radu Timofte
57 publications
Jun Liu
56 publications
Deng Cai
52 publications
Jie Zhang
52 publications
Houqiang Li
38 publications
Peng Liu
32 publications

Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

Reinforcement learning (RL) is a promising data-driven approach for adap...
03/11/2019 ∙ by Tianshu Chu, et al. ∙ 22 ∙ share

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AIM 2019 Challenge on Image Demoireing: Methods and Results

This paper reviews the first-ever image demoireing challenge that was pa...
11/08/2019 ∙ by Shanxin Yuan, et al. ∙ 22 ∙ share

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Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Model-based reinforcement learning algorithms tend to achieve higher sam...
11/28/2019 ∙ by Qi Zhou, et al. ∙ 18 ∙ share

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D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems

Decentralized optimization algorithms have attracted intensive interests...
11/28/2019 ∙ by Taoxing Pan, et al. ∙ 15 ∙ share

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Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression

Genome-wide association studies (GWAS) have achieved great success in th...
04/27/2017 ∙ by Qingyang Li, et al. ∙ 0 ∙ share

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Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions

Genome-wide association studies (GWAS) offer new opportunities to identi...
08/19/2016 ∙ by Qingyang Li, et al. ∙ 0 ∙ share

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Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction

Sparse support vector machine (SVM) is a popular classification techniqu...
07/24/2016 ∙ by Weizhong Zhang, et al. ∙ 0 ∙ share

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Probabilistic graphical model based approach for water mapping using GaoFen-2 (GF-2) high resolution imagery and Landsat 8 time series

The objective of this paper is to evaluate the potential of Gaofen-2 (GF...
12/22/2016 ∙ by Luyan Ji, et al. ∙ 0 ∙ share

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A probabilistic graphical model approach in 30 m land cover mapping with multiple data sources

There is a trend to acquire high accuracy land-cover maps using multi-so...
12/11/2016 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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Safe Screening With Variational Inequalities and Its Application to LASSO

Sparse learning techniques have been routinely used for feature selectio...
07/29/2013 ∙ by Jun Liu, et al. ∙ 0 ∙ share

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Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods

Sparse learning has recently received increasing attention in many areas...
07/16/2013 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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A Safe Screening Rule for Sparse Logistic Regression

The l1-regularized logistic regression (or sparse logistic regression) i...
07/16/2013 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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Lasso Screening Rules via Dual Polytope Projection

Lasso is a widely used regression technique to find sparse representatio...
11/16/2012 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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DTATG: An Automatic Title Generator based on Dependency Trees

We study automatic title generation for a given block of text and presen...
10/01/2017 ∙ by Liqun Shao, et al. ∙ 0 ∙ share

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Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality

Our task is to generate an effective summary for a given document with s...
10/01/2017 ∙ by Liqun Shao, et al. ∙ 0 ∙ share

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Toric Difference Variety

In this paper, the concept of toric difference varieties is defined and ...
04/07/2016 ∙ by Xiao-Shan Gao, et al. ∙ 0 ∙ share

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Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Publishing articles in high-impact English journals is difficult for sch...
07/22/2018 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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Semantic WordRank: Generating Finer Single-Document Summarizations

We present Semantic WordRank (SWR), an unsupervised method for generatin...
09/12/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China

Gaokao is the annual academic qualification examination for college admi...
09/12/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Rapid Cycle-Accurate Simulator for High-Level Synthesis

A large semantic gap between the high-level synthesis (HLS) design and t...
12/17/2018 ∙ by Yuze Chi, et al. ∙ 0 ∙ share

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Mexican Hat Wavelet Kernel ELM for Multiclass Classification

Kernel extreme learning machine (KELM) is a novel feedforward neural net...
02/20/2019 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation

Segmentation stands at the forefront of many high-level vision tasks. In...
03/12/2019 ∙ by Ziyuan Zhao, et al. ∙ 0 ∙ share

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War: Detecting adversarial examples by pre-processing input data

Deep neural networks (DNNs) have demonstrated their outstanding performa...
05/15/2019 ∙ by Hua Wang, et al. ∙ 0 ∙ share

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SvTPM: A Secure and Efficient vTPM in the Cloud

Virtual Trusted Platform Modules (vTPMs) have been widely used in commer...
05/21/2019 ∙ by Juan Wang, et al. ∙ 0 ∙ share

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A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation

In this paper, we comprehensively study on context-aware generation of C...
06/15/2019 ∙ by Haoshen Fan, et al. ∙ 0 ∙ share

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Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines

As one of the quintessence of Chinese traditional culture, couplet compr...
06/15/2019 ∙ by Haoshen Fan, et al. ∙ 0 ∙ share

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Automatic Conditional Generation of Personalized Social Media Short Texts

Automatic text generation has received much attention owing to rapid dev...
06/15/2019 ∙ by Ziwen Wang, et al. ∙ 0 ∙ share

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On Radically Expanding the Landscape of Potential Applications for Automated Proof Methods

In this paper we examine the potential of computer-assisted proof method...
06/03/2019 ∙ by Jeffrey Uhlmann, et al. ∙ 0 ∙ share

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A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics

This paper presents a novel, syllable-structured Chinese lyrics generati...
06/15/2019 ∙ by Xu Lu, et al. ∙ 0 ∙ share

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Image Encryption Algorithm Based on Facebook Social Network

Facebook is the online social networks (OSNs) platform with the largest ...
05/21/2019 ∙ by Xiaoqing Liu, et al. ∙ 0 ∙ share

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Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Knowledge graph embedding, which aims to represent entities and relation...
11/21/2019 ∙ by Zhanqiu Zhang, et al. ∙ 0 ∙ share

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Audio-Based Music Classification with DenseNet And Data Augmentation

In recent years, deep learning technique has received intense attention ...
06/15/2019 ∙ by Wenhao Bian, et al. ∙ 0 ∙ share

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An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation

Owing to its unique literal and aesthetical characteristics, automatic g...
11/29/2019 ∙ by Liming Deng, et al. ∙ 0 ∙ share

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Cross-Platform Modeling of Users' Behavior on Social Media

With the booming development and popularity of mobile applications, diff...
06/23/2019 ∙ by Haiqian Gu, et al. ∙ 0 ∙ share

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Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks

The capacity of line networks with buffer size constraints is an open, b...
01/13/2020 ∙ by Shenghao Yang, et al. ∙ 0 ∙ share

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Baryon acoustic oscillations reconstruction using convolutional neural networks

Here we propose a new scheme to reconstruct the baryon acoustic oscillat...
02/24/2020 ∙ by Tian-Xiang Mao, et al. ∙ 0 ∙ share

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Analyzing Linguistic Complexity and Scientific Impact

The number of publications and the number of citations received have bec...
07/27/2019 ∙ by Chao Lu, et al. ∙ 0 ∙ share

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