Jie Zhang

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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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

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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

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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

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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

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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

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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

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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

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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

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Class-incremental Learning via Deep Model Consolidation

Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...
03/19/2019 ∙ by Junting Zhang, et al. ∙ 12 ∙ share

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FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads

In this work, we propose FUSE, a novel GPU cache system that integrates ...
03/05/2019 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation

The key challenge of generative Visual Dialogue (VD) systems is to respo...
02/26/2019 ∙ by Heming Zhang, et al. ∙ 8 ∙ share

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MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression

State-of-the-art deep model compression methods exploit the low-rank app...
02/03/2019 ∙ by Jie Zhang, et al. ∙ 12 ∙ share

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Exploring Communities in Large Profiled Graphs

Given a graph G and a vertex q∈ G, the community search (CS) problem aim...
01/16/2019 ∙ by Yankai Chen, et al. ∙ 0 ∙ share

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Signal Strength based Scheme for Following Mobile IoT Devices in Dynamic Environments

The increased maturity level of technological achievements towards the r...
11/26/2018 ∙ by Thomas Lagkas, et al. ∙ 0 ∙ share

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Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting

With the growing prevalence of smart grid technology, short-term load fo...
11/05/2018 ∙ by Cong Feng, et al. ∙ 0 ∙ share

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Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources

SSDs become a major storage component in modern memory hierarchies, and ...
11/05/2018 ∙ by Donghyun Gouk, et al. ∙ 0 ∙ share

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Semi-supervised Learning on Graphs with Generative Adversarial Nets

We investigate how generative adversarial nets (GANs) can help semi-supe...
09/01/2018 ∙ by Ming Ding, et al. ∙ 0 ∙ share

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Energy Efficient and Fair Resource Allocation for LTE-Unlicensed Uplink Networks: A Two-sided Matching Approach with Partial Information

LTE-Unlicensed (LTE-U) has recently attracted worldwide interest to meet...
08/26/2018 ∙ by Yuan Gao, et al. ∙ 0 ∙ share

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A readout method based on 10 Gigabit Ethernet for Sipixel detector

With the rapid development of network protocol, TCP/IP has been widely a...
06/23/2018 ∙ by Hangxu Li, et al. ∙ 0 ∙ share

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Spectral Network Embedding: A Fast and Scalable Method via Sparsity

Network embedding aims to learn low-dimensional representations of nodes...
06/07/2018 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices

Recurrent neural networks (RNNs) achieve cutting-edge performance on a v...
06/04/2018 ∙ by Jie Zhang, et al. ∙ 2 ∙ share

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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

Incentive mechanisms for crowdsourcing are designed to incentivize finan...
06/01/2018 ∙ by Zehong Hu, et al. ∙ 0 ∙ share

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Jie Zhang

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