Yang Zhao

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases

Enterprise environments need to screen large-scale (millions of lines of...
07/12/2020 ∙ by Ya Xiao, et al. ∙ 0 ∙ share

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Structure-Aware Human-Action Generation

Generating long-range skeleton-based human actions has been a challengin...
07/04/2020 ∙ by Ping Yu, et al. ∙ 2 ∙ share

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Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients

Local differential privacy (LDP) is an emerging privacy standard to prot...
06/08/2020 ∙ by Hans Albert Lianto, et al. ∙ 0 ∙ share

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Responsive Web User Interface to Recover Training Data from User Gradients in Federated Learning

Local differential privacy (LDP) is an emerging privacy standard to prot...
06/08/2020 ∙ by Hans Albert Lianto, et al. ∙ 0 ∙ share

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Blockchain-Based Differential Privacy Cost Management System

Privacy preservation is a big concern for various sectors. To protect in...
06/08/2020 ∙ by Leong Mei Han, et al. ∙ 0 ∙ share

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SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation

We present SmartExchange, an algorithm-hardware co-design framework to t...
05/07/2020 ∙ by Yang Zhao, et al. ∙ 6 ∙ share

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TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain

Resistive-random-access-memory (ReRAM) based processing-in-memory (R^2PI...
05/03/2020 ∙ by Weitao Li, et al. ∙ 0 ∙ share

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Discretized Bottleneck in VAE: Posterior-Collapse-Free Sequence-to-Sequence Learning

Variational autoencoders (VAEs) are important tools in end-to-end repres...
04/22/2020 ∙ by Yang Zhao, et al. ∙ 6 ∙ share

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Local Differential Privacy based Federated Learning for Internet of Things

Internet of Vehicles (IoV) is a promising branch of the Internet of Thin...
04/19/2020 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Feature Quantization Improves GAN Training

The instability in GAN training has been a long-standing problem despite...
04/05/2020 ∙ by Yang Zhao, et al. ∙ 10 ∙ share

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A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision

The excellent performance of modern deep neural networks (DNNs) comes at...
03/02/2020 ∙ by Hongjie Wang, et al. ∙ 0 ∙ share

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DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures

The recent breakthroughs in deep neural networks (DNNs) have spurred a t...
02/26/2020 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

An increasing amount of users' sensitive information is now being collec...
01/25/2020 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

In this paper, we consider a novel task, Spatio-Temporal Video Grounding...
01/19/2020 ∙ by Zhu Zhang, et al. ∙ 0 ∙ share

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AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs

Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growin...
01/06/2020 ∙ by Pengfei Xu, et al. ∙ 0 ∙ share

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Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions

Human-motion generation is a long-standing challenging task due to the r...
12/21/2019 ∙ by Zhenyi Wang, et al. ∙ 9 ∙ share

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Patchy Image Structure Classification Using Multi-Orientation Region Transform

Exterior contour and interior structure are both vital features for clas...
12/02/2019 ∙ by Xiaohan Yu, et al. ∙ 0 ∙ share

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A Survey of Blockchain Applications in Different Domains

Blockchains have received much attention recently since they provide dec...
11/06/2019 ∙ by Wubing Chen, et al. ∙ 0 ∙ share

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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation

Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
11/05/2019 ∙ by Qing Liu, et al. ∙ 0 ∙ share

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E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving

Convolutional neural networks (CNNs) have been increasingly deployed to ...
10/29/2019 ∙ by Yue Wang, et al. ∙ 0 ∙ share

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Deep High-Resolution Representation Learning for Visual Recognition

High-resolution representations are essential for position-sensitive vis...
08/20/2019 ∙ by Jingdong Wang, et al. ∙ 0 ∙ share

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MobileFAN: Transferring Deep Hidden Representation for Face Alignment

Facial landmark detection is a crucial prerequisite for many face analys...
08/11/2019 ∙ by Yang Zhao, et al. ∙ 5 ∙ share

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Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System

Internet-of-Things (IoT) companies strive to get feedback from users to ...
06/26/2019 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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High-Resolution Representations for Labeling Pixels and Regions

High-resolution representation learning plays an essential role in many ...
04/09/2019 ∙ by Ke Sun, et al. ∙ 6 ∙ share

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An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership

Ridership estimation at station level plays a critical role in metro tra...
04/02/2019 ∙ by Yuxin He, et al. ∙ 0 ∙ share

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Modeling and Analyzing Spatiotemporal Factors Influencing Metro Station Ridership in Taipei: An Approach based on General Estimating Equation

Modeling and analyzing metro station ridership is of great importance to...
04/02/2019 ∙ by Yuxin He, et al. ∙ 0 ∙ share

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Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning

3D face reconstruction from a single 2D image is a challenging problem w...
03/22/2019 ∙ by Xiaoguang Tu, et al. ∙ 8 ∙ share

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Synchronous Bidirectional Inference for Neural Sequence Generation

In sequence to sequence generation tasks (e.g. machine translation and a...
02/24/2019 ∙ by Jiajun Zhang, et al. ∙ 0 ∙ share

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Self-Adversarially Learned Bayesian Sampling

Scalable Bayesian sampling is playing an important role in modern machin...
11/21/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Variance Reduction in Stochastic Particle-Optimization Sampling

Stochastic particle-optimization sampling (SPOS) is a recently-developed...
11/20/2018 ∙ by Jianyi Zhang, et al. ∙ 0 ∙ share

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Phrase Table as Recommendation Memory for Neural Machine Translation

Neural Machine Translation (NMT) has drawn much attention due to its pro...
05/25/2018 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Multispectral Image Intrinsic Decomposition via Low Rank Constraint

Multispectral images contain many clues of surface characteristics of th...
02/24/2018 ∙ by Qian Huang, et al. ∙ 0 ∙ share

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Towards Neural Machine Translation with Partially Aligned Corpora

While neural machine translation (NMT) has become the new paradigm, the ...
11/03/2017 ∙ by Yining Wang, et al. ∙ 0 ∙ share

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Automatic Spatially-aware Fashion Concept Discovery

This paper proposes an automatic spatially-aware concept discovery appro...
08/03/2017 ∙ by Xintong Han, et al. ∙ 0 ∙ share

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A Conditional Variational Framework for Dialog Generation

Deep latent variable models have been shown to facilitate the response g...
04/30/2017 ∙ by Xiaoyu Shen, et al. ∙ 0 ∙ share

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GUN: Gradual Upsampling Network for single image super-resolution

In this paper, we propose an efficient super-resolution (SR) method base...
03/13/2017 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Local Patch Classification Based Framework for Single Image Super-Resolution

Recent learning-based super-resolution (SR) methods often focus on the d...
03/12/2017 ∙ by Yang Zhao, et al. ∙ 0 ∙ share

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Yang Zhao

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