b'Jie Zhang'

TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking

Multiple object tracking is to give each object an id in the video. The ...
01/06/2021 ∙ by Jie Zhang, et al. ∙ 58 ∙ share

read it
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning

Spinal cord tumors lead to neurological morbidity and mortality. Being a...
12/23/2020 ∙ by Andréanne Lemay, et al. ∙ 9 ∙ share

read it
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems

We present a novel deep reinforcement learning method to learn construct...
12/19/2020 ∙ by Liang Xin, et al. ∙ 11 ∙ share

read it
Attributes Aware Face Generation with Generative Adversarial Networks

Recent studies have shown remarkable success in face image generations. ...
12/03/2020 ∙ by Zheng Yuan, et al. ∙ 7 ∙ share

read it
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction

Estimating post-click conversion rate (CVR) accurately is crucial in E-c...
11/24/2020 ∙ by Yanshi Wang, et al. ∙ 0 ∙ share

read it
Whale: A Unified Distributed Training Framework

Data parallelism (DP) has been a common practice to speed up the trainin...
11/18/2020 ∙ by Ang Wang, et al. ∙ 0 ∙ share

read it
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions

Digital Twin was introduced over a decade ago, as an innovative all-enco...
11/02/2020 ∙ by Angira Sharma, et al. ∙ 74 ∙ share

read it
Passport-aware Normalization for Deep Model Protection

Despite tremendous success in many application scenarios, deep learning ...
10/29/2020 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

read it
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

Priority dispatching rule (PDR) is widely used for solving real-world Jo...
10/23/2020 ∙ by Cong Zhang, et al. ∙ 9 ∙ share

read it
On Offline Evaluation of Recommender Systems

In academic research, recommender models are often evaluated offline on ...
10/21/2020 ∙ by Yitong Ji, et al. ∙ 0 ∙ share

read it
Privacy-Preserving Machine Learning Training in Aggregation Scenarios

To develop Smart City, the growing popularity of Machine Learning (ML) t...
09/21/2020 ∙ by Liehuang Zhu, et al. ∙ 0 ∙ share

read it
Cascaded Semantic and Positional Self-Attention Network for Document Classification

Transformers have shown great success in learning representations for la...
09/15/2020 ∙ by Juyong Jiang, et al. ∙ 0 ∙ share

read it
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters

One of the central goals of precision health is the understanding and in...
08/09/2020 ∙ by Zhi Huang, et al. ∙ 11 ∙ share

read it
FrUITeR: A Framework for Evaluating UI Test Reuse

UI testing is tedious and time-consuming due to the manual effort requir...
08/08/2020 ∙ by Yixue Zhao, et al. ∙ 0 ∙ share

read it
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition

Audio-visual information fusion enables a performance improvement in spe...
08/06/2020 ∙ by Liangfa Wei, et al. ∙ 0 ∙ share

read it
Wireless Performance Evaluation of Building Layouts: Closed-Form Computation of Figures of Merit

This paper presents a part of our ground-breaking work on evaluation of ...
07/20/2020 ∙ by Jiliang Zhang, et al. ∙ 0 ∙ share

read it
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...
06/29/2020 ∙ by Kai Zhang, et al. ∙ 2 ∙ share

read it
Federated Mutual Learning

Federated learning enables collaboratively training machine learning mod...
06/27/2020 ∙ by Tao Shen, et al. ∙ 0 ∙ share

read it
ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis

We propose ZnG, a new GPU-SSD integrated architecture, which can maximiz...
06/16/2020 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

read it
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack

Host-side page victimizations can easily overflow the SSD internal buffe...
06/16/2020 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

read it
Adaptive Sampling to Reduce Disparate Performance

Existing methods for reducing disparate performance of a classifier acro...
06/11/2020 ∙ by Jacob Abernethy, et al. ∙ 1 ∙ share

read it
A Re-visit of the Popularity Baseline in Recommender Systems

Popularity is often included in experimental evaluation to provide a ref...
05/28/2020 ∙ by Yitong Ji, et al. ∙ 0 ∙ share

read it
Graph Random Neural Network

Graph neural networks (GNNs) have generalized deep learning methods into...
05/22/2020 ∙ by Wenzheng Feng, et al. ∙ 57 ∙ share

read it
A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

In synthetic aperture radar (SAR) image change detection, it is quite ch...
05/22/2020 ∙ by Jia-Wei Chen, et al. ∙ 7 ∙ share

read it
Benchmarking High Bandwidth Memory on FPGAs

FPGAs are starting to be enhanced with High Bandwidth Memory (HBM) as a ...
05/09/2020 ∙ by Zeke Wang, et al. ∙ 0 ∙ share

read it
Single-Side Domain Generalization for Face Anti-Spoofing

Existing domain generalization methods for face anti-spoofing endeavor t...
04/29/2020 ∙ by Yunpei Jia, et al. ∙ 0 ∙ share

read it
Reconstructing normal section profiles of 3D revolving structures via pose-unconstrained multi-line structured-light vision

The wheel of the train is a 3D revolving geometrical structure. Reconstr...
04/27/2020 ∙ by Junhua Sun, et al. ∙ 0 ∙ share

read it
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Image-level weakly supervised semantic segmentation is a challenging pro...
04/09/2020 ∙ by Yude Wang, et al. ∙ 52 ∙ share

read it
STAN-CT: Standardizing CT Image using Generative Adversarial Network

Computed tomography (CT) plays an important role in lung malignancy diag...
04/02/2020 ∙ by Md. Selim, et al. ∙ 0 ∙ share

read it
Application of Structural Similarity Analysis of Visually Salient Areas and Hierarchical Clustering in the Screening of Similar Wireless Capsule Endoscopic Images

Small intestinal capsule endoscopy is the mainstream method for inspecti...
04/01/2020 ∙ by Rui Nie, et al. ∙ 0 ∙ share

read it
Model Watermarking for Image Processing Networks

Deep learning has achieved tremendous success in numerous industrial app...
02/25/2020 ∙ by Jie Zhang, et al. ∙ 14 ∙ share

read it
Bounded Incentives in Manipulating the Probabilistic Serial Rule

The Probabilistic Serial mechanism is well-known for its desirable fairn...
01/28/2020 ∙ by Zihe Wang, et al. ∙ 9 ∙ share

read it
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Backtracking search algorithms are often used to solve the Constraint Sa...
12/23/2019 ∙ by Wen Song, et al. ∙ 20 ∙ share

read it
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment

Trust and reputation management (TRM) plays an increasingly important ro...
12/18/2019 ∙ by Leonit Zeynalvand, et al. ∙ 0 ∙ share

read it
Faster than Flash: An In-Depth Study of System Challenges for Emerging Ultra-Low Latency SSDs

Emerging storage systems with new flash exhibit ultra-low latency (ULL) ...
12/15/2019 ∙ by Sungjoon Koh, et al. ∙ 0 ∙ share

read it
Learning Improvement Heuristics for Solving the Travelling Salesman Problem

Recent studies in using deep learning to solve the Travelling Salesman P...
12/12/2019 ∙ by Yaoxin Wu, et al. ∙ 26 ∙ share

read it
Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning

Customer services are critical to all companies, as they may directly co...
11/24/2019 ∙ by Zining Liu, et al. ∙ 13 ∙ share

read it
Attentive Knowledge Graph Embedding for Personalized Recommendation

Knowledge graphs (KGs) have proven to be effective for highquality recom...
10/18/2019 ∙ by Xiao Sha, et al. ∙ 0 ∙ share

read it
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal

In this paper, we propose new operator-splitting algorithms for the tota...
10/18/2019 ∙ by Jie Zhang, et al. ∙ 24 ∙ share

read it
Research Commentary on Recommendations with Side Information: A Survey and Research Directions

Recommender systems have become an essential tool to help resolve the in...
09/19/2019 ∙ by Zhu Sun, et al. ∙ 0 ∙ share

read it
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

Weakly supervised semantic segmentation has attracted much research inte...
09/09/2019 ∙ by Yude Wang, et al. ∙ 13 ∙ share

read it
Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context

Predicting the emotional impact of videos using machine learning is a ch...
09/01/2019 ∙ by Jie Zhang, et al. ∙ 23 ∙ share

read it
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

In this paper, we propose an end-to-end deep neural network for solving ...
07/28/2019 ∙ by Yunhe Gao, et al. ∙ 5 ∙ share

read it
Method of diagnosing heart disease based on deep learning ECG signal

The traditional method of diagnosing heart disease on ECG signal is arti...
06/25/2019 ∙ by Jie Zhang, et al. ∙ 7 ∙ share

read it
Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net

Change detection is a quite challenging task due to the imbalance betwee...
06/19/2019 ∙ by Rongfang Wang, et al. ∙ 3 ∙ share

read it
Social Cost Guarantees in Smart Route Guidance

We model and study the problem of assigning traffic in an urban road net...
06/15/2019 ∙ by Paolo Serafino, et al. ∙ 0 ∙ share

read it
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters

Large-scale systems with all-flash arrays have become increasingly commo...
06/12/2019 ∙ by Sungjoon Koh, et al. ∙ 0 ∙ share

read it
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach

Providing an accurate and efficient assessment of operative difficulty i...
06/12/2019 ∙ by Ziheng Wang, et al. ∙ 0 ∙ share

read it
Average-case Analysis of the Assignment Problem with Independent Preferences

The fundamental assignment problem is in search of welfare maximization ...
06/01/2019 ∙ by Yansong Gao, et al. ∙ 0 ∙ share

read it
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML

Lifelong learning, the problem of continual learning where tasks arrive ...
03/20/2019 ∙ by Jie Zhang, et al. ∙ 20 ∙ share

read it

Jie Zhang

Featured Co-authors