Search Results for author: Yan Zhao

Found 20 papers, 1 papers with code

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection---Extended Version

no code implementations7 Apr 2022 Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng

This is an extended version of "Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection", to appear in IEEE ICDE 2022.

Outlier Detection Time Series

Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery

no code implementations18 Jan 2022 Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu

Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete appearance, obvious intraclass variation, small size and serious background's interference.

Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks

no code implementations13 Sep 2021 Chunzhi Gu, Yan Zhao, Chao Zhang

Human motion prediction, which plays a key role in computer vision, generally requires a past motion sequence as input.

Human motion prediction motion prediction

4-D Epanechnikov Mixture Regression in Light Field Image Compression

no code implementations14 Aug 2021 Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei

A 4-D Epanechnikov mixture regression (4-D EMR) was proposed based on this 4-D EK, and a 4-D adaptive model selection (4-D AMLS) algorithm was designed to realize the optimal modeling for a pseudo video sequence (PVS) of the extracted key-EIA.

Image Compression Model Selection

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

no code implementations ICLR 2022 Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong

In this paper, we propose object-centric actionable visual priors as a novel perception-interaction handshaking point that the perception system outputs more actionable guidance than kinematic structure estimation, by predicting dense geometry-aware, interaction-aware, and task-aware visual action affordance and trajectory proposals.

Generalized Nash Equilibrium Seeking Algorithm Design for Distributed Constrained Multi-Cluster Games

no code implementations24 Jun 2021 Zhenhua Deng, Yan Zhao

The multi-cluster games are addressed in this paper, where all players team up with the players in the cluster that they belong to, and compete against the players in other clusters to minimize the cost function of their own cluster.

HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions

no code implementations11 Jun 2021 Liwei Deng, Xuanhao Chen, Yan Zhao, Kai Zheng

Monitoring complex systems results in massive multivariate time series data, and anomaly detection of these data is very important to maintain the normal operation of the systems.

Anomaly Detection Time Series

Three-dimensional Epanechnikov mixture regression in image coding

no code implementations3 Jun 2021 Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang

We propose a three-dimensional (3-D) Epanechnikov Mixture Regression (EMR) based on our Epanechnikov Kernel (EK) and realize a complete framework for image coding.

A probabilistic model for missing traffic volume reconstruction based on data fusion

no code implementations6 May 2021 Xintao Yan, Yan Zhao, Henry X. Liu

Moreover, for the low coverage problem, which cannot be handled by most existing methods, the proposed model can also achieve high accuracy.

Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition

no code implementations13 Apr 2021 Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu

The adaptive adjusting term is composed of two complementary factors: 1) quantity factor, which pays more attention to tail classes, and 2) difficulty factor, which adaptively pays more attention to hard instances in the training process.

General Classification Semantic Similarity +1

A Lightweight Approach of Human-Like Playtesting

no code implementations25 Feb 2021 Yan Zhao, Weihao Zhang, Enyi Tang, Haipeng Cai, Xi Guo, Na Meng

This paper presents LIT -- our lightweight approach to generalize playtesting tactics from manual testing, and to adopt the generalized tactics to automate game testing.

Software Engineering

Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations

no code implementations15 Sep 2020 Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu

To address these problems, we propose a Stratified and Time-aware Sampling based Adaptive Ensemble Learning framework, called STS-AEL, to improve the accuracy of streaming recommendations.

Ensemble Learning Recommendation Systems

Double-Wing Mixture of Experts for Streaming Recommendations

no code implementations14 Sep 2020 Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang

In VRS-DWMoE, we first devise variational and reservoir-enhanced sampling to wisely complement new data with historical data, and thus address the user preference drift issue while capturing long-term user preferences.

Ensemble Learning Recommendation Systems

From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation

no code implementations11 Jan 2019 Yan Zhao, Lu Liu, Chunhua Liu, Ruoyao Yang, Dong Yu

We introduce a new task named Story Ending Generation (SEG), whic-h aims at generating a coherent story ending from a sequence of story plot.

Multi-Perspective Fusion Network for Commonsense Reading Comprehension

no code implementations8 Jan 2019 Chunhua Liu, Yan Zhao, Qingyi Si, Haiou Zhang, Bohan Li, Dong Yu

From the experimental results, we can conclude that the difference fusion is comparable with union fusion, and the similarity fusion needs to be activated by the union fusion.

Reading Comprehension

A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling

no code implementations12 Sep 2017 Yan Zhao, Xiao Fang, David Simchi-Levi

The problem of constructing such models from randomized experiments data is known as Uplift Modeling in the literature.

Decision Making

Uplift Modeling with Multiple Treatments and General Response Types

2 code implementations23 May 2017 Yan Zhao, Xiao Fang, David Simchi-Levi

It is impossible to know whether the chosen treatment is optimal for an individual subject because response under alternative treatments is unobserved.

Decision Making

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