Search Results for author: Yingying Zhang

Found 13 papers, 5 papers with code

Conformal Off-policy Prediction

1 code implementation14 Jun 2022 Yingying Zhang, Chengchun Shi, Shikai Luo

Off-policy evaluation is critical in a number of applications where new policies need to be evaluated offline before online deployment.

Conformal Prediction Off-policy evaluation

KRNet: Towards Efficient Knowledge Replay

no code implementations23 May 2022 Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu

However, the number of stored latent codes in autoencoder increases linearly with the scale of data and the trained encoder is redundant for the replaying stage.

Continual Learning Domain Adaptation

Ridgeless Regression with Random Features

1 code implementation1 May 2022 Jian Li, Yong liu, Yingying Zhang

Recent theoretical studies illustrated that kernel ridgeless regression can guarantee good generalization ability without an explicit regularization.


CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms

no code implementations5 Nov 2021 Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke

As business of Alibaba expands across the world among various industries, higher standards are imposed on the service quality and reliability of big data cloud computing platforms which constitute the infrastructure of Alibaba Cloud.

Anomaly Detection Cloud Computing +1

EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

1 code implementation26 Sep 2021 Jiancong Chen, Yingying Zhang, Jingyi Wang, Xiaoxue Zhou, Yihua He, Tong Zhang

In this paper, we present an anchor-free ellipse detection network, namely EllipseNet, which detects the cardiac and thoracic regions in ellipse and automatically calculates the CTR and cardiac axis for fetal cardiac biometrics in 4-chamber view.

Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection

no code implementations ICCV 2021 Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu, Hong Zhou

Surprisingly, by varying the granularity of division on feature maps, we are able to modulate the reconstruction capability of the model for both normal and abnormal samples.

Unsupervised Anomaly Detection

RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicity Detection

1 code implementation21 Feb 2020 Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu

Periodicity detection is a crucial step in time series tasks, including monitoring and forecasting of metrics in many areas, such as IoT applications and self-driving database management system.

Anomaly Detection Clustering +3

Fast Task Adaptation for Few-Shot Learning

no code implementations25 Sep 2019 Yingying Zhang, Qiaoyong Zhong, Di Xie, ShiLiang Pu

The key lies in generalization of prior knowledge learned from large-scale base classes and fast adaptation of the classifier to novel classes.

Few-Shot Learning

Learning Incremental Triplet Margin for Person Re-identification

no code implementations17 Dec 2018 Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, ShiLiang Pu

In particular, we propose a novel multi-stage training strategy which learns incremental triplet margin and improves triplet loss effectively.

Metric Learning Person Re-Identification

Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

5 code implementations Conference 2016 Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma

To this end, we have proposed a simple but effective Multi-column Convolutional Neural Network (MCNN) architecture to map the image to its crowd density map.

Crowd Counting

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