Search Results for author: Lei Yang

Found 47 papers, 13 papers with code

Robust Event Classification Using Imperfect Real-world PMU Data

no code implementations19 Oct 2021 Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang

Specifically, the data preprocessing step addresses the data quality issues of PMU measurements (e. g., bad data and missing data); in the fine-grained event data extraction step, a model-free event detection method is developed to accurately localize the events from the inaccurate event timestamps in the event logs; and the feature engineering step constructs the event features based on the patterns of different event types, in order to improve the performance and the interpretability of the event classifiers.

Classification Event Detection +1

Playing for 3D Human Recovery

no code implementations14 Oct 2021 Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, Chen Change Loy, Ziwei Liu

Image- and video-based 3D human recovery (i. e. pose and shape estimation) have achieved substantial progress.

Motion Capture

iShape: A First Step Towards Irregular Shape Instance Segmentation

no code implementations30 Sep 2021 Lei Yang, Yan Zi Wei, Yisheng He, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan

In this paper, we introduce a brand new dataset to promote the study of instance segmentation for objects with irregular shapes.

Instance Segmentation Semantic Segmentation

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow

no code implementations8 Sep 2021 Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, JinJun Xiong, Yiyu Shi, Weiwen Jiang

Specifically, this paper targets quantum neural network (QNN), and proposes to learn the errors in the training phase, so that the identified QNN model can be resilient to noise.

Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation

1 code implementation ICCV 2021 Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu

While the average prediction accuracy has been improved significantly over the years, the performance on hard poses with depth ambiguity, self-occlusion, and complex or rare poses is still far from satisfactory.

3D Pose Estimation Action Recognition +2

Geometry Uncertainty Projection Network for Monocular 3D Object Detection

1 code implementation ICCV 2021 Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang

In this paper, we propose a Geometry Uncertainty Projection Network (GUP Net) to tackle the error amplification problem at both inference and training stages.

Depth Estimation Monocular 3D Object Detection

Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation

no code implementations27 Jul 2021 Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang

To handle multiple objects and generalize to unseen objects, we disentangle the latent object shape and pose representations, so that the latent shape space models shape similarities, and the latent pose code is used for rotation retrieval by comparison with canonical rotations.

6D Pose Estimation Metric Learning +1

IPS300+: a Challenging Multimodal Dataset for Intersection Perception System

no code implementations5 Jun 2021 Huanan Wang, Xinyu Zhang, Jun Li, Zhiwei Li, Lei Yang, Shuyue Pan, Yongqiang Deng

Through an IPS (Intersection Perception System) installed at the diagonal of the intersection, this paper proposes a high-quality multimodal dataset for the intersection perception task.

Lite-FPN for Keypoint-based Monocular 3D Object Detection

1 code implementation1 May 2021 Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li

3D object detection with a single image is an essential and challenging task for autonomous driving.

Autonomous Driving Monocular 3D Object Detection

The Age of Correlated Features in Supervised Learning based Forecasting

no code implementations27 Feb 2021 MD Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun

In these applications, a neural network is trained to predict a time-varying target (e. g., solar power), based on multiple correlated features (e. g., temperature, humidity, and cloud coverage).

Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications

no code implementations10 Dec 2020 Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov

By proposing a framework of Edge Computing Assisted Autonomous Flight (ECAAF), we illustrate that vision and communications can interact with and assist each other with the aid of edge computing and offloading, and further speed up the UAV mission completion.

Edge-computing Trajectory Planning Networking and Internet Architecture Robotics Systems and Control Systems and Control

CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices

no code implementations6 Dec 2020 Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang

CoEdge utilizes available computation and communication resources at the edge and dynamically partitions the DNN inference workload adaptive to devices' computing capabilities and network conditions.

Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements

no code implementations25 Aug 2020 Iman Niazazari, Hanif Livani, Amir Ghasemkhani, Yunchuan Liu, Lei Yang

This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks.

E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI

no code implementations4 Aug 2020 Lei Yang, Yanyan Lu, Jiannong Cao, Jiaming Huang, Mingjin Zhang

In this paper, we propose a novel decentralized model learning approach, namely E-Tree, which makes use of a well-designed tree structure imposed on the edge devices.

Federated Learning

Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

no code implementations ECCV 2020 Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang

We propose an unsupervised learning framework with the pretext task of finding dense correspondences between point cloud shapes from the same category based on the cycle-consistency formulation.

Learn to Propagate Reliably on Noisy Affinity Graphs

no code implementations ECCV 2020 Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin

Recent works have shown that exploiting unlabeled data through label propagation can substantially reduce the labeling cost, which has been a critical issue in developing visual recognition models.

Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start

1 code implementation17 Jul 2020 Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi

To tackle this issue, HotNAS builds a chain of tools to design hardware to support compression, based on which a global optimizer is developed to automatically co-search all the involved search spaces.

Neural Architecture Search

Learning to Cluster Faces via Confidence and Connectivity Estimation

2 code implementations CVPR 2020 Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin

With the vertex confidence and edge connectivity, we can naturally organize more relevant vertices on the affinity graph and group them into clusters.

Connectivity Estimation Face Clustering

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

no code implementations10 Feb 2020 Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi

Neural Architecture Search (NAS) has demonstrated its power on various AI accelerating platforms such as Field Programmable Gate Arrays (FPGAs) and Graphic Processing Units (GPUs).

Neural Architecture Search

Deep Human Answer Understanding for Natural Reverse QA

no code implementations1 Dec 2019 Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou wu

This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers.

Question Answering

Blockchain for Future Smart Grid: A Comprehensive Survey

1 code implementation8 Nov 2019 Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, Xin Zhang, Amer M. Y. M. Ghias, Leong Hai Koh, Lei Yang

In this paper, we aim to provide a comprehensive survey on application of blockchain in smart grid.

Cryptography and Security Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Social and Information Networks Systems and Control Systems and Control

Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators

no code implementations31 Oct 2019 Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi

In this paper, we are the first to bring the computing-in-memory architecture, which can easily transcend the memory wall, to interplay with the neural architecture search, aiming to find the most efficient neural architectures with high network accuracy and maximized hardware efficiency.

Neural Architecture Search

Prism: Scaling Bitcoin by 10,000x

2 code implementations25 Sep 2019 Lei Yang, Vivek Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia Fanti, Pramod Viswanath

Bitcoin is the first fully decentralized permissionless blockchain protocol and achieves a high level of security: the ledger it maintains has guaranteed liveness and consistency properties as long as the adversary has less compute power than the honest nodes.

Distributed, Parallel, and Cluster Computing Cryptography and Security Networking and Internet Architecture

Hardware/Software Co-Exploration of Neural Architectures

1 code implementation6 Jul 2019 Weiwen Jiang, Lei Yang, Edwin Sha, Qingfeng Zhuge, Shouzhen Gu, Sakyasingha Dasgupta, Yiyu Shi, Jingtong Hu

We propose a novel hardware and software co-exploration framework for efficient neural architecture search (NAS).

Neural Architecture Search

A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems

no code implementations5 Jul 2019 Xueshuo Xie, Zhi Wang, Xuhang Xiao, Lei Yang, Shenwei Huang, Tao Li

In this paper, we use blockchain to prevent logs from being tampered with and propose a pvalue-guided anomaly detection approach.

Cryptography and Security

Sparse Solutions of a Class of Constrained Optimization Problems

no code implementations1 Jul 2019 Lei Yang, Xiaojun Chen, Shuhuang Xiang

Specifically, without any condition on the matrix $A$, we provide upper bounds in cardinality and infinity norm for the optimal solutions, and show that all optimal solutions must be on the boundary of the feasible set when $0<p<1$.

Denoising

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing

1 code implementation19 Jun 2019 Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li

In this paper, we aim to explore the impact of semantic manipulation on DNNs predictions by manipulating the semantic attributes of images and generate "unrestricted adversarial examples".

Face Recognition Face Verification

Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning

no code implementations2 May 2019 Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu

In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.

Learning to Cluster Faces on an Affinity Graph

2 code implementations CVPR 2019 Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin

Face recognition sees remarkable progress in recent years, and its performance has reached a very high level.

Face Recognition

Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search

no code implementations31 Jan 2019 Weiwen Jiang, Xinyi Zhang, Edwin H. -M. Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu

In addition, with a performance abstraction model to analyze the latency of neural architectures without training, our framework can quickly prune architectures that do not satisfy the specification, leading to higher efficiency.

Neural Architecture Search

RPC: A Large-Scale Retail Product Checkout Dataset

no code implementations22 Jan 2019 Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu

The main challenge of this problem comes from the large scale and the fine-grained nature of the product categories as well as the difficulty for collecting training images that reflect the realistic checkout scenarios due to continuous update of the products.

A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters

no code implementations12 Sep 2018 Lei Yang, Jia Li, Defeng Sun, Kim-Chuan Toh

When the support points of the barycenter are pre-specified, this problem can be modeled as a linear programming (LP) problem whose size can be extremely large.

Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation

no code implementations24 Jul 2018 Shihao Sun, Lei Yang, Wenjie Liu, Ruirui Li

In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery.

Semantic Segmentation

TreeSegNet: Adaptive Tree CNNs for Subdecimeter Aerial Image Segmentation

no code implementations29 Apr 2018 Kai Yue, Lei Yang, Ruirui Li, Wei Hu, Fan Zhang, Wei Li

For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and optical conditions.

Semantic Segmentation

Accelerated Training for Massive Classification via Dynamic Class Selection

no code implementations5 Jan 2018 Xingcheng Zhang, Lei Yang, Junjie Yan, Dahua Lin

Massive classification, a classification task defined over a vast number of classes (hundreds of thousands or even millions), has become an essential part of many real-world systems, such as face recognition.

Classification Face Recognition +1

Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems

no code implementations18 Nov 2017 Lei Yang

To solve this class of problems, we propose a proximal gradient method with extrapolation and line search (PGels).

Variable Selection

On Scalable Inference with Stochastic Gradient Descent

no code implementations1 Jul 2017 Yixin Fang, Jinfeng Xu, Lei Yang

In many applications involving large dataset or online updating, stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates and has gained increasing popularity due to its numerical convenience and memory efficiency.

A Non-monotone Alternating Updating Method for A Class of Matrix Factorization Problems

no code implementations18 May 2017 Lei Yang, Ting Kei Pong, Xiaojun Chen

Finally, we conduct some numerical experiments using real datasets to compare our method with some existing efficient methods for non-negative matrix factorization and matrix completion.

Matrix Completion

Minimum $n$-Rank Approximation via Iterative Hard Thresholding

no code implementations18 Nov 2013 Min Zhang, Lei Yang, Zheng-Hai Huang

Additionally, combining an effective heuristic for determining $n$-rank, we can also apply the proposed algorithm to solve MnRA when $n$-rank is unknown in advance.

Image Inpainting Video Inpainting

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