Search Results for author: Xinyi Xu

Found 8 papers, 4 papers with code

Group Contrastive Self-Supervised Learning on Graphs

no code implementations20 Jul 2021 Xinyi Xu, Cheng Deng, Yaochen Xie, Shuiwang Ji

Our framework embeds the given graph into multiple subspaces, of which each representation is prompted to encode specific characteristics of graphs.

Contrastive Learning Self-Supervised Learning

A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning

1 code implementation20 Nov 2020 Xinyi Xu, Lingjuan Lyu

In this paper, we propose a novel Robust and Fair Federated Learning (RFFL) framework to achieve collaborative fairness and adversarial robustness simultaneously via a reputation mechanism.

Adversarial Defense Fairness +1

Searching k-Optimal Goals for an Orienteering Problem on a Specialized Graph with Budget Constraints

no code implementations2 Nov 2020 Abhinav Sharma, Advait Deshpande, Yanming Wang, Xinyi Xu, Prashan Madumal, Anbin Hou

We propose a novel non-randomized anytime orienteering algorithm for finding k-optimal goals that maximize reward on a specialized graph with budget constraints.

Collaborative Fairness in Federated Learning

1 code implementation27 Aug 2020 Lingjuan Lyu, Xinyi Xu, Qian Wang

In current deep learning paradigms, local training or the Standalone framework tends to result in overfitting and thus poor generalizability.

Fairness Federated Learning

Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection

no code implementations8 Aug 2020 Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong

This work is inspired by recent advances in hierarchical reinforcement learning (HRL) (Barto and Mahadevan 2003; Hengst 2010), and improvements in learning efficiency from heuristic-based subgoal selection, experience replay (Lin 1993; Andrychowicz et al. 2017), and task-based curriculum learning (Bengio et al. 2009; Zaremba and Sutskever 2014).

Curriculum Learning Decision Making +3

Deep Asymmetric Metric Learning via Rich Relationship Mining

no code implementations CVPR 2019 Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng

The asymmetric structure enables the two data streams to interlace each other, which allows for the informative comparison between new data pairs over iterations.

Face Verification Image Retrieval +2

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