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Multimodality in Meta-Learning: A Comprehensive Survey


Sep 28, 2021
Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King


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Multi-Criteria Radio Spectrum Sharing With Subspace-Based Pareto Tracing


Aug 23, 2021
Zachary Grey, Susanna Mosleh, Jacob Rezac, Yao Ma, Jason Coder, Andrew Dienstfrey

* 16 pages, 2 tables, 5 figures, related work presented at IEEE ICC 2021. arXiv admin note: substantial text overlap with arXiv:2102.09047 

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Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning


Aug 03, 2021
Mehmet Fatih Ozkan, Abishek Joseph Rocque, Yao Ma

* Accepted to 2021 Modeling, Estimation and Control Conference (MECC) 

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Elastic Graph Neural Networks


Jul 05, 2021
Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

* ICML 2021 (International Conference on Machine Learning) 

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Automated Self-Supervised Learning for Graphs


Jun 15, 2021
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang


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Is Homophily a Necessity for Graph Neural Networks?


Jun 11, 2021
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang


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Graph Feature Gating Networks


May 10, 2021
Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu Aggarwal, Jiliang Tang


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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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