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Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing

Feb 24, 2021
Zachary J. Grey, Susanna Mosleh, Jacob D. Rezac, Yao Ma, Jason B. Coder, Andrew M. Dienstfrey

* 7 pages, 2 figures, 1 table, to appear in IEEE ICC 2021 proceedings 

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Node Similarity Preserving Graph Convolutional Networks

Nov 19, 2020
Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang

* WSDM 2021 

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A Unified View on Graph Neural Networks as Graph Signal Denoising

Oct 05, 2020
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah


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Non-IID Graph Neural Networks

May 22, 2020
Yiqi Wang, Yao Ma, Charu Aggarwal, Jiliang Tang


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Graph Structure Learning for Robust Graph Neural Networks

May 21, 2020
Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang

* Accepted by KDD 2020 

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Attacking Black-box Recommendations via Copying Cross-domain User Profiles

May 17, 2020
Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li


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Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Oct 09, 2019
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain

* survey, adversarial attacks, defenses 

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R-Transformer: Recurrent Neural Network Enhanced Transformer

Jul 12, 2019
Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang


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Attacking Graph Convolutional Networks via Rewiring

Jun 10, 2019
Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang


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Deep Adversarial Social Recommendation

May 30, 2019
Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li

* Accepted by International Joint Conference on Artificial Intelligence (IJCAI 2019) 

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Graph Convolutional Networks with EigenPooling

May 18, 2019
Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang


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Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers

Apr 25, 2019
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvari


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Graph Neural Networks for Social Recommendation

Feb 19, 2019
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, Dawei Yin

* accepted by www2019 conference 

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Streaming Graph Neural Networks

Nov 06, 2018
Yao Ma, Ziyi Guo, Zhaochun Ren, Eric Zhao, Jiliang Tang, Dawei Yin


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Automata Guided Reinforcement Learning With Demonstrations

Sep 25, 2018
Xiao Li, Yao Ma, Calin Belta


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Linked Recurrent Neural Networks

Aug 19, 2018
Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang


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Automata-Guided Hierarchical Reinforcement Learning for Skill Composition

May 21, 2018
Xiao Li, Yao Ma, Calin Belta


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A Policy Search Method For Temporal Logic Specified Reinforcement Learning Tasks

Sep 27, 2017
Xiao Li, Yao Ma, Calin Belta


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Crowdsourcing with Sparsely Interacting Workers

Jun 20, 2017
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvari


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Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning

Oct 28, 2016
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai, Yao Ma, Masashi Sugiyama

* NIPS 2016 camera-ready version 

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Online Markov decision processes with policy iteration

Oct 15, 2015
Yao Ma, Hao Zhang, Masashi Sugiyama


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Bandit-Based Task Assignment for Heterogeneous Crowdsourcing

Jul 21, 2015
Hao Zhang, Yao Ma, Masashi Sugiyama


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