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
250 publications
Rui Wang
176 publications
Wei Li
152 publications
Radu Timofte
109 publications
Jing Xiao
93 publications
Jie Zhang
90 publications
Jun Liu
86 publications
Jian Yang
83 publications
Jieping Ye
79 publications
Deng Cai
79 publications
Hongyuan Zha
72 publications

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

In video object tracking, there exist rich temporal contexts among succe...
03/22/2021 ∙ by Ning Wang, et al. ∙ 0 ∙ share

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Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production

The SPAdes assembler for metagenome assembly is a long-running applicati...
03/04/2021 ∙ by Twinkle Jain, et al. ∙ 0 ∙ share

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Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning

Wideband Absorbance Immittance (WAI) has been available for more than a ...
03/04/2021 ∙ by Emad M. Grais, et al. ∙ 0 ∙ share

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TSSOS: a Julia library to exploit sparsity for large-scale polynomial optimization

The Julia library TSSOS aims at helping polynomial optimizers to solve l...
03/01/2021 ∙ by Victor Magron, et al. ∙ 0 ∙ share

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Two-sample Test with Kernel Projected Wasserstein Distance

We develop a kernel projected Wasserstein distance for the two-sample te...
02/12/2021 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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On Explainability of Graph Neural Networks via Subgraph Explorations

We consider the problem of explaining the predictions of graph neural ne...
02/09/2021 ∙ by Hao Yuan, et al. ∙ 27 ∙ share

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Adversarially learning disentangled speech representations for robust multi-factor voice conversion

Factorizing speech as disentangled speech representations is vital to ac...
01/30/2021 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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UNIT: Unifying Tensorized Instruction Compilation

Because of the increasing demand for computation in DNN, researchers dev...
01/21/2021 ∙ by Jian Weng, et al. ∙ 3 ∙ share

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PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack

The studies on black-box adversarial attacks have become increasingly pr...
01/19/2021 ∙ by Jie Wang, et al. ∙ 16 ∙ share

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Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization

Fooling deep neural networks (DNNs) with the black-box optimization has ...
01/19/2021 ∙ by Jie Wang, et al. ∙ 15 ∙ share

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SONC Optimization and Exact Nonnegativity Certificates via Second-Order Cone Programming

The second-order cone (SOC) is a class of simple convex cones and optimi...
12/14/2020 ∙ by Victor Magron, et al. ∙ 0 ∙ share

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Deep Deterministic Policy Gradient for Relay Selection and Power Allocation in Cooperative Communication Network

Cooperative communication is an effective approach to improve spectrum u...
12/11/2020 ∙ by Yuanzhe Geng, et al. ∙ 0 ∙ share

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Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

Tensor factorization based models have shown great power in knowledge gr...
11/11/2020 ∙ by Zhanqiu Zhang, et al. ∙ 0 ∙ share

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Fast Hybrid Cascade for Voxel-based 3D Object Classification

Voxel-based 3D object classification has been frequently studied in rece...
11/09/2020 ∙ by Hui Cao, et al. ∙ 0 ∙ share

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Reliable Off-policy Evaluation for Reinforcement Learning

In a sequential decision-making problem, off-policy evaluation (OPE) est...
11/08/2020 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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Generating Adequate Distractors for Multiple-Choice Questions

This paper presents a novel approach to automatic generation of adequate...
10/23/2020 ∙ by Cheng Zhang, et al. ∙ 0 ∙ share

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Extracting Body Text from Academic PDF Documents for Text Mining

Accurate extraction of body text from PDF-formatted academic documents i...
10/23/2020 ∙ by Changfeng Yu, et al. ∙ 0 ∙ share

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Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality

We develop a projected Wasserstein distance for the two-sample test, a f...
10/22/2020 ∙ by Jie Wang, et al. ∙ 0 ∙ share

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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. ∙ 18 ∙ 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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