Jie Wang

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UMass Lowell ∙ University of Massachusetts Amherst ∙ 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
216 publications
Wei Li
128 publications
Radu Timofte
88 publications
Jun Liu
72 publications
Jie Zhang
72 publications
Jian Yang
72 publications
Jieping Ye
71 publications
Deng Cai
64 publications
Jing Xiao
61 publications
Hao Zhang
58 publications
Cheng Zhang
47 publications

Line Graph Neural Networks for Link Prediction

We consider the graph link prediction task, which is a classic graph ana...
10/20/2020 ∙ by Lei Cai, et al. ∙ 0 ∙ share

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When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization

With the recent release of High Bandwidth Memory (HBM) based FPGA boards...
10/12/2020 ∙ by Young-kyu Choi, et al. ∙ 0 ∙ share

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Meta Sequence Learning and Its Applications

We present a meta-sequence representation of sentences and demonstrate h...
10/04/2020 ∙ by Cheng Zhang, et al. ∙ 0 ∙ share

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Extending High-Level Synthesis for Task-Parallel Programs

C/C++/OpenCL-based high-level synthesis (HLS) becomes more and more popu...
09/23/2020 ∙ by Yuze Chi, et al. ∙ 0 ∙ share

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An Intuitive Tutorial to Gaussian Processes Regression

This introduction aims to provide readers an intuitive understanding of ...
09/22/2020 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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A Variational Formula for Rényi Divergences

We derive a new variational formula for the Rényi family of divergences,...
07/07/2020 ∙ by Jeremiah Birrell, et al. ∙ 0 ∙ share

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DcardNet: Diabetic Retinopathy Classification at Multiple Depths Based on Structural and Angiographic Optical Coherence Tomography

Optical coherence tomography (OCT) and its angiography (OCTA) have sever...
06/09/2020 ∙ by Pengxiao Zang, et al. ∙ 0 ∙ share

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Automated segmentation of retinal fluid volumes from structural and angiographic optical coherence tomography using deep learning

Purpose: We proposed a deep convolutional neural network (CNN), named Re...
06/03/2020 ∙ by Yukun Guo, et al. ∙ 6 ∙ share

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Review of text style transfer based on deep learning

Text style transfer is a hot issue in recent natural language processing...
05/06/2020 ∙ by Xiangyang Li, et al. ∙ 0 ∙ share

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CS-TSSOS: Correlative and term sparsity for large-scale polynomial optimization

This work proposes a new moment-SOS hierarchy, called CS-TSSOS, for solv...
05/06/2020 ∙ by Jie Wang, 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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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 Jie Wang, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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