Search Results for author: Yan Zhu

Found 12 papers, 5 papers with code

Explainable Fairness in Recommendation

no code implementations24 Apr 2022 Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang

In this paper, we study the problem of explainable fairness, which helps to gain insights about why a system is fair or unfair, and guides the design of fair recommender systems with a more informed and unified methodology.

Fairness Recommendation Systems

RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network

no code implementations28 Feb 2022 Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong

Graph Convolutional Network (GCN) plays pivotal roles in many real-world applications.

Learning Two-Time-Scale Representations For Large Scale Recommendations

no code implementations1 Jan 2021 Xinshi Chen, Yan Zhu, Haowen Xu, Muhan Zhang, Liang Xiong, Le Song

We propose a surprisingly simple but effective two-time-scale (2TS) model for learning user representations for recommendation.

Representation Learning by Reconstructing Neighborhoods

no code implementations5 Nov 2018 Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh

Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-apply in tasks such as dimension reduction, clustering, visualization, information retrieval, and semi-supervised learning.

Dimensionality Reduction Information Retrieval +2

Admissible Time Series Motif Discovery with Missing Data

no code implementations15 Feb 2018 Yan Zhu, Abdullah Mueen, Eamonn Keogh

Although there has been more than a decade of extensive research, there is still no technique to allow the discovery of time series motifs in the presence of missing data, despite the well-documented ubiquity of missing data in scientific, industrial, and medical datasets.

Time Series


no code implementations ICLR 2018 Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh

By reformulating the representation learning problem as a neighbor reconstruction problem, domain knowledge can be easily incorporated with appropriate definition of similarity or distance between objects.

Representation Learning Time Series

Interactive Reinforcement Learning for Object Grounding via Self-Talking

no code implementations2 Dec 2017 Yan Zhu, Shaoting Zhang, Dimitris Metaxas

In this paper, we introduce an interactive training method to improve the natural language conversation system for a visual grounding task.

reinforcement-learning Visual Grounding

Better Computer Go Player with Neural Network and Long-term Prediction

3 code implementations19 Nov 2015 Yuandong Tian, Yan Zhu

Against human players, the newest versions, darkfores2, achieve a stable 3d level on KGS Go Server as a ranked bot, a substantial improvement upon the estimated 4k-5k ranks for DCNN reported in Clark & Storkey (2015) based on games against other machine players.

Game of Go

Semantic Amodal Segmentation

2 code implementations CVPR 2017 Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr Dollár

Specifically, we create an amodal segmentation of each image: the full extent of each region is marked, not just the visible pixels.

Object Detection Semantic Segmentation

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