Ning Zhang

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UMass Lowell ∙ University of Windsor ∙ Texas A&M University Corpus Christi ∙ Zhejiang University ∙ JD.com, Inc. ∙ Snap Inc. ∙ berkeley college ∙ Washington University in St Louis ∙ NetEase, Inc

Currently a senior research scientist at Snapchat working on research projects about computer vision and deep learning. Finished my Ph.D. in Computer Science at UC Berkeley in 2015.

Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities

A smart city improves operational efficiency and comfort of living by ha...
03/13/2021 ∙ by Laha Ale, et al. ∙ 0 ∙ share

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LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization

The advances in agile micro aerial vehicles (MAVs) have shown great pote...
03/05/2021 ∙ by Shengkai Zhang, et al. ∙ 0 ∙ share

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Attributed Graph Alignment

Motivated by various data science applications including de-anonymizing ...
02/01/2021 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Performance Analysis for Cache-enabled Cellular Networks with Cooperative Transmission

The large amount of deployed smart devices put tremendous traffic pressu...
01/22/2021 ∙ by Tianming Feng, et al. ∙ 0 ∙ share

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Spinal Codes Optimization: Error Probability Analysis and Transmission Scheme Design

Spinal codes are known to be capacity achieving over both the additive w...
01/20/2021 ∙ by Aimin Li, et al. ∙ 0 ∙ share

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Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model

Anti-malware engines are the first line of defense against malicious sof...
12/14/2020 ∙ by MohammadReza Ebrahimi, et al. ∙ 0 ∙ share

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Energy-Efficient Task Offloading and Resource Allocation in Mobile Edge Computing with Sequential Task Dependency

In this paper, we investigate the computation task with its sub-tasks su...
11/25/2020 ∙ by Xuming An, et al. ∙ 0 ∙ share

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DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing

Network slicing enables multiple virtual networks run on the same physic...
08/17/2020 ∙ by Qiang Liu, et al. ∙ 0 ∙ share

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Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

The current deep learning based visual tracking approaches have been ver...
05/13/2020 ∙ by Ning Zhang, et al. ∙ 11 ∙ share

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Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding

Increasing the penetration of variable generation has a substantial effe...
04/20/2020 ∙ by Qingchun Hou, et al. ∙ 0 ∙ share

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A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations

Semantic image segmentation is one of the most important tasks in medica...
04/20/2020 ∙ by Ning Zhang, et al. ∙ 14 ∙ share

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DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

Internet of Medical Things (IoMT) can connect many medical imaging equip...
04/12/2020 ∙ by Yi Ding, et al. ∙ 0 ∙ share

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Modeling the Impact of Network Connectivity on Consensus Security of Proof-of-Work Blockchain

Blockchain, the technology behind the popular Bitcoin, is considered a "...
02/20/2020 ∙ by Yang Xiao, et al. ∙ 0 ∙ share

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Multiuser Scheduling for Minimizing Age of Information in Uplink MIMO Systems

This paper concerns the user scheduling problem in a multiuser multiple-...
02/02/2020 ∙ by He Chen, et al. ∙ 0 ∙ share

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3D Aggregated Faster R-CNN for General Lesion Detection

Lesions are damages and abnormalities in tissues of the human body. Many...
01/29/2020 ∙ by Ning Zhang, et al. ∙ 21 ∙ share

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Multidimensional Variational Line Spectra Estimation

The fundamental multidimensional line spectral estimation problem is add...
12/26/2019 ∙ by Qi Zhang, et al. ∙ 0 ∙ share

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RF Backscatter-based State Estimation for Micro Aerial Vehicles

The advances in compact and agile micro aerial vehicles (MAVs) have show...
12/18/2019 ∙ by Shengkai Zhang, et al. ∙ 0 ∙ share

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Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data

While the security of the cloud remains a concern, a common practice is ...
12/18/2019 ∙ by Yaxing Chen, et al. ∙ 0 ∙ share

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Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features

Diabetic retinopathy (DR) is a diabetes complication that affects eyes. ...
11/19/2019 ∙ by Qilei Chen, et al. ∙ 0 ∙ share

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Bounding Data-driven Model Errors in Power Grid Analysis

Data-driven models analyze power grids under incomplete physical informa...
10/30/2019 ∙ by Yuxiao Liu, et al. ∙ 0 ∙ share

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Conditional variable screening via ordinary least squares projection

To deal with the growing challenge from high dimensional data, we propos...
10/24/2019 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China

The high penetration of photovoltaic (PV) is reshaping the electricity n...
09/25/2019 ∙ by Qingchun Hou, et al. ∙ 0 ∙ share

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Fast mmwave Beam Alignment via Correlated Bandit Learning

Beam alignment (BA) is to ensure the transmitter and receiver beams are ...
09/07/2019 ∙ by Wen Wu, et al. ∙ 0 ∙ share

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AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is...
09/05/2019 ∙ by Dechun Wang, et al. ∙ 0 ∙ share

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3D Anchor-Free Lesion Detector on Computed Tomography Scans

Lesions are injuries and abnormal tissues in the human body. Detecting l...
08/29/2019 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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An Eigenwise Parallel Augmented Subspace Method for Eigenvalue Problems

A type of parallel augmented subspace scheme for eigenvalue problems is ...
08/27/2019 ∙ by Fei Xu, et al. ∙ 0 ∙ share

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Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

Existing video-based human pose estimation methods extensively apply lar...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 9 ∙ share

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Weakly Supervised Body Part Parsing with Pose based Part Priors

Human body part parsing refers to the task of predicting the semantic se...
07/30/2019 ∙ by Zhengyuan Yang, et al. ∙ 1 ∙ share

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Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

Detection of malicious behavior is a fundamental problem in security. On...
06/20/2019 ∙ by Liang Tong, et al. ∙ 6 ∙ share

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Throughput Maximization in Two-hop DF Multiple-Relay Network with Simultaneous Wireless Information and Power Transfer

This paper investigates the end-to-end throughput maximization problem f...
04/24/2019 ∙ by Qi Gu, et al. ∙ 0 ∙ share

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Context-Aware Zero-Shot Recognition

We present a novel problem setting in zero-shot learning, zero-shot obje...
04/19/2019 ∙ by Ruotian Luo, et al. ∙ 0 ∙ share

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Enforcing Private Data Usage Control with Blockchain and Attested Off-chain Contract Execution

The abundance of rich varieties of data is enabling many transformative ...
04/15/2019 ∙ by Yang Xiao, et al. ∙ 0 ∙ share

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A Survey of Distributed Consensus Protocols for Blockchain Networks

Since the inception of Bitcoin, cryptocurrencies and the underlying bloc...
04/08/2019 ∙ by Yang Xiao, et al. ∙ 0 ∙ share

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Laplace Landmark Localization

Landmark localization in images and videos is a classic problem solved i...
03/27/2019 ∙ by Joseph P. Robinson, et al. ∙ 16 ∙ share

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On the sure screening property of the iterative sure independence screening algorithm

The iterative version of the sure independence screening algorithm (ISIS...
12/04/2018 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Content Popularity Prediction Towards Location-Aware Mobile Edge Caching

Mobile edge caching enables content delivery within the radio access net...
09/01/2018 ∙ by Peng Yang, et al. ∙ 0 ∙ share

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Overlapping Sliced Inverse Regression for Dimension Reduction

Sliced inverse regression (SIR) is a pioneer tool for supervised dimensi...
06/23/2018 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints

Recently, there emerged revived interests of designing automatic program...
06/03/2018 ∙ by Zhe Li, et al. ∙ 0 ∙ share

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ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing

This article proposes an edge content delivery framework (ECD) based on ...
05/28/2018 ∙ by Shangguang Wang, et al. ∙ 0 ∙ share

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Combining Probabilistic Load Forecasts

Probabilistic load forecasts provide comprehensive information about fut...
03/18/2018 ∙ by Yi Wang, et al. ∙ 0 ∙ share

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Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning

Separating audio mixtures into individual tracks has been a long standin...
11/11/2017 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Image captioning is a challenging problem owing to the complexity in und...
04/12/2017 ∙ by Zhou Ren, et al. ∙ 0 ∙ share

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AutoScaler: Scale-Attention Networks for Visual Correspondence

Finding visual correspondence between local features is key to many comp...
11/17/2016 ∙ by Shenlong Wang, et al. ∙ 0 ∙ share

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A Hierarchical Distributed Processing Framework for Big Image Data

This paper introduces an effective processing framework nominated ICP (I...
07/03/2016 ∙ by Le Dong, et al. ∙ 0 ∙ share

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Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

We explore the task of recognizing peoples' identities in photo albums i...
01/23/2015 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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Deep Domain Confusion: Maximizing for Domain Invariance

Recent reports suggest that a generic supervised deep CNN model trained ...
12/10/2014 ∙ by Eric Tzeng, et al. ∙ 0 ∙ share

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Do Convnets Learn Correspondence?

Convolutional neural nets (convnets) trained from massive labeled datase...
11/04/2014 ∙ by Jonathan Long, et al. ∙ 0 ∙ share

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Part-based R-CNNs for Fine-grained Category Detection

Semantic part localization can facilitate fine-grained categorization by...
07/15/2014 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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PANDA: Pose Aligned Networks for Deep Attribute Modeling

We propose a method for inferring human attributes (such as gender, hair...
11/21/2013 ∙ by Ning Zhang, et al. ∙ 0 ∙ share

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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

We evaluate whether features extracted from the activation of a deep con...
10/06/2013 ∙ by Jeff Donahue, et al. ∙ 0 ∙ share

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Ning Zhang

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