Jie Wang

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UMass Lowell

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University of Massachusetts Amherst

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Arizona State University

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Huazhong University of Science u0026 Technology

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Georgia Institute of Technology

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ByteDance Inc.

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Stanford University

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Beijing Institute of Technology

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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
306 publications
Jun Wang
274 publications
Wei Li
215 publications
Rui Wang
176 publications
Radu Timofte
144 publications
Jie Zhang
139 publications
Bin Li
134 publications
Jun Liu
130 publications
Jing Xiao
123 publications
Jian Yang
119 publications
Houqiang Li
102 publications

∙ 05/04/2022

A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks

Two-sample tests are important areas aiming to determine whether two col...

Jie Wang, et al. ∙

∙ 04/29/2022

C3-STISR: Scene Text Image Super-resolution with Triple Clues

Scene text image super-resolution (STISR) has been regarded as an import...

Minyi Zhao, et al. ∙

∙ 02/15/2022

A Survey of Neural Trojan Attacks and Defenses in Deep Learning

Artificial Intelligence (AI) relies heavily on deep learning - a technol...

Jie Wang, et al. ∙

∙ 02/11/2022

The xmuspeech system for multi-channel multi-party meeting transcription challenge

This paper describes the system developed by the XMUSPEECH team for the ...

Jie Wang, et al. ∙

∙ 02/09/2022

A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets

Hypothesis testing for small-sample scenarios is a practically important...

Jie Wang, et al. ∙

∙ 01/17/2022

Learning to Reformulate for Linear Programming

It has been verified that the linear programming (LP) is able to formula...

Xijun Li, et al. ∙

∙ 01/17/2022

An Improved Reinforcement Learning Algorithm for Learning to Branch

Most combinatorial optimization problems can be formulated as mixed inte...

Qingyu Qu, et al. ∙

∙ 01/17/2022

Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Adversarial Examples (AEs) can deceive Deep Neural Networks (DNNs) and h...

Wei Jia, et al. ∙

∙ 12/20/2021

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

Deep reinforcement learning algorithms can perform poorly in real-world ...

Yufei Kuang, et al. ∙

∙ 12/16/2021

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

Model-based reinforcement learning algorithms, which aim to learn a mode...

Zhihai Wang, et al. ∙

∙ 12/16/2021

EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network

With the development of deep neural networks, automatic music compositio...

Kaitong Zheng, et al. ∙

∙ 11/28/2021

Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned

Systolic arrays have been widely used for accelerating HPC and deep lear...

Jie Wang, et al. ∙

∙ 11/28/2021

PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds

Fine-grained geometry, captured by aggregation of point features in loca...

Jie Wang, et al. ∙

∙ 11/26/2021

Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction

Predicting the plausible future trajectories of nearby agents is a core ...

Jie Wang, et al. ∙

∙ 09/24/2021

Sinkhorn Distributionally Robust Optimization

We study distributionally robust optimization with Sinkorn distance – a ...

Jie Wang, et al. ∙

∙ 09/06/2021

XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021

This paper describes the XMUSPEECH speaker recognition and diarisation s...

Jie Wang, et al. ∙

∙ 07/12/2021

Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021

Link prediction in large-scale knowledge graphs has gained increasing at...

Jianyu Cai, et al. ∙

∙ 05/27/2021

Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems

The Dynamic Pickup and Delivery Problem (DPDP) is aimed at dynamically s...

Xijun Li, et al. ∙

∙ 03/22/2021

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

In video object tracking, there exist rich temporal contexts among succe...

Ning Wang, et al. ∙

∙ 03/04/2021

Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production

The SPAdes assembler for metagenome assembly is a long-running applicati...

Twinkle Jain, et al. ∙

∙ 03/04/2021

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 ...

Emad M. Grais, et al. ∙

∙ 03/01/2021

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

The Julia library TSSOS aims at helping polynomial optimizers to solve l...

Victor Magron, et al. ∙

∙ 02/12/2021

Two-sample Test with Kernel Projected Wasserstein Distance

We develop a kernel projected Wasserstein distance for the two-sample te...

Jie Wang, et al. ∙

∙ 02/09/2021

On Explainability of Graph Neural Networks via Subgraph Explorations

We consider the problem of explaining the predictions of graph neural ne...

Hao Yuan, et al. ∙

∙ 01/30/2021

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

Factorizing speech as disentangled speech representations is vital to ac...

Jie Wang, et al. ∙

∙ 01/21/2021

UNIT: Unifying Tensorized Instruction Compilation

Because of the increasing demand for computation in DNN, researchers dev...

Jian Weng, et al. ∙

∙ 01/19/2021

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

The studies on black-box adversarial attacks have become increasingly pr...

Jie Wang, et al. ∙

∙ 01/19/2021

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

Fooling deep neural networks (DNNs) with the black-box optimization has ...

Jie Wang, et al. ∙

∙ 12/14/2020

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...

Victor Magron, et al. ∙

∙ 12/11/2020

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

Cooperative communication is an effective approach to improve spectrum u...

Yuanzhe Geng, et al. ∙

∙ 11/11/2020

Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion

Tensor factorization based models have shown great power in knowledge gr...

Zhanqiu Zhang, et al. ∙

∙ 11/09/2020

Fast Hybrid Cascade for Voxel-based 3D Object Classification

Voxel-based 3D object classification has been frequently studied in rece...

Hui Cao, et al. ∙

∙ 11/08/2020

Reliable Off-policy Evaluation for Reinforcement Learning

In a sequential decision-making problem, off-policy evaluation (OPE) est...

Jie Wang, et al. ∙

∙ 10/23/2020

Generating Adequate Distractors for Multiple-Choice Questions

This paper presents a novel approach to automatic generation of adequate...

Cheng Zhang, et al. ∙

∙ 10/23/2020

Extracting Body Text from Academic PDF Documents for Text Mining

Accurate extraction of body text from PDF-formatted academic documents i...

Changfeng Yu, et al. ∙

∙ 10/22/2020

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...

Jie Wang, et al. ∙

∙ 10/20/2020

Line Graph Neural Networks for Link Prediction

We consider the graph link prediction task, which is a classic graph ana...

Lei Cai, et al. ∙

∙ 10/12/2020

When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization

With the recent release of High Bandwidth Memory (HBM) based FPGA boards...

Young-kyu Choi, et al. ∙

∙ 10/04/2020

Meta Sequence Learning and Its Applications

We present a meta-sequence representation of sentences and demonstrate h...

Cheng Zhang, et al. ∙

∙ 09/23/2020

Extending High-Level Synthesis for Task-Parallel Programs

C/C++/OpenCL-based high-level synthesis (HLS) becomes more and more popu...

Yuze Chi, et al. ∙

∙ 09/22/2020

An Intuitive Tutorial to Gaussian Processes Regression

This introduction aims to provide readers an intuitive understanding of ...

Jie Wang, et al. ∙

∙ 07/07/2020

A Variational Formula for Rényi Divergences

We derive a new variational formula for the Rényi family of divergences,...

Jeremiah Birrell, et al. ∙

∙ 06/09/2020

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...

Pengxiao Zang, et al. ∙

∙ 06/03/2020

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...

Yukun Guo, et al. ∙

∙ 05/06/2020

Review of text style transfer based on deep learning

Text style transfer is a hot issue in recent natural language processing...

Xiangyang Li, et al. ∙

∙ 05/06/2020

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

This work proposes a new moment-SOS hierarchy, called CS-TSSOS, for solv...

Jie Wang, et al. ∙

∙ 02/24/2020

Baryon acoustic oscillations reconstruction using convolutional neural networks

Here we propose a new scheme to reconstruct the baryon acoustic oscillat...

Tian-Xiang Mao, et al. ∙

∙ 01/13/2020

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...

Jie Wang, et al. ∙

∙ 11/29/2019

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...

Liming Deng, et al. ∙

∙ 11/28/2019

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

Decentralized optimization algorithms have attracted intensive interests...

Taoxing Pan, et al. ∙