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06/16/2023
Dual Node and Edge Fairness-Aware Graph Partition
Fair graph partition of social networks is a crucial step toward ensurin...
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11/29/2022
Learning Antidote Data to Individual Unfairness
Fairness is an essential factor for machine learning systems deployed in...
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10/14/2022
Characterizing the Influence of Graph Elements
Influence function, a method from robust statistics, measures the change...
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10/04/2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Clustering algorithms are widely used in many societal resource allocati...
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04/03/2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
We consider the object recognition problem in autonomous driving using a...
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02/01/2022
Achieving Fairness at No Utility Cost via Data Reweighing
With the fast development of algorithmic governance, fairness has become...
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06/09/2021
Deep Clustering based Fair Outlier Detection
In this paper, we focus on the fairness issues regarding unsupervised ou...
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06/16/2020
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Unsupervised domain adaptation targets to transfer task knowledge from l...
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07/11/2019
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
In this work, we present an end-to-end framework to settle data associat...
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01/29/2019
Two-Stream Multi-Task Network for Fashion Recognition
In this paper, we present a two-stream multi-task network for fashion re...
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12/16/2018
