b'Jie Zhang'

Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication

Deep convolutional neural networks have made outstanding contributions i...
04/09/2021 ∙ by Xiquan Guan, et al. ∙ 14 ∙ share

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FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images

Radiotherapy is a treatment where radiation is used to eliminate cancer ...
04/05/2021 ∙ by Yunhe Gao, et al. ∙ 34 ∙ share

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Deep Model Intellectual Property Protection via Deep Watermarking

Despite the tremendous success, deep neural networks are exposed to seri...
03/08/2021 ∙ by Jie Zhang, et al. ∙ 6 ∙ share

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M6: A Chinese Multimodal Pretrainer

In this work, we construct the largest dataset for multimodal pretrainin...
03/01/2021 ∙ by Junyang Lin, et al. ∙ 14 ∙ share

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Spatio-Temporal Multi-step Prediction of Influenza Outbreaks

Flu circulates all over the world. The worldwide infection places a subs...
02/16/2021 ∙ by Jie Zhang, et al. ∙ 24 ∙ share

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Dynamic Virtual Graph Significance Networks for Predicting Influenza

Graph-structured data and their related algorithms have attracted signif...
02/16/2021 ∙ by Jie Zhang, et al. ∙ 10 ∙ share

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Meta-Path-Free Representation Learning on Heterogeneous Networks

Real-world networks and knowledge graphs are usually heterogeneous netwo...
02/16/2021 ∙ by Jie Zhang, et al. ∙ 9 ∙ share

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BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal...
01/29/2021 ∙ by Yifan Wu, et al. ∙ 11 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Federated Mutual Learning

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

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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

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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

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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

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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

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Graph Random Neural Network

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Jie Zhang

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