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CCGL: Contrastive Cascade Graph Learning


Jul 27, 2021
Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu

* Submitted to IEEE, including 14 pages, 7 figures, and 11 tables 

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Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning


May 14, 2021
Fan Zhou, Zhoufan Zhu, Qi Kuang, Liwen Zhang


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Multi-task Learning by Leveraging the Semantic Information


Mar 03, 2021
Fan Zhou, Brahim Chaib-draa, Boyu Wang


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Embedding Symbolic Temporal Knowledge into Deep Sequential Models


Jan 28, 2021
Yaqi Xie, Fan Zhou, Harold Soh


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Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence


Jul 30, 2020
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang


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Domain Generalization with Optimal Transport and Metric Learning


Jul 21, 2020
Fan Zhou, Zhuqing Jiang, Changjian Shui, Boyu Wang, Brahim Chaib-draa


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A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances


May 25, 2020
Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang

* Fix typos; 41 pages, 9 figures, 12 tables; 

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Discriminative Active Learning for Domain Adaptation


May 24, 2020
Fan Zhou, Changjian Shui, Bincheng Huang, Boyu Wang, Brahim Chaib-draa


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Metric learning by Similarity Network for Deep Semi-Supervised Learning


Apr 29, 2020
Sanyou Wu, Xingdong Feng, Fan Zhou

* Published as a conference paper at FLINS/ISKE 2020 

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A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact


Mar 26, 2020
Fan Zhou, Xovee Xu, Ce Li, Goce Trajcevski, Ting Zhong, Kunpeng Zhang


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Continual Graph Learning


Mar 22, 2020
Fan Zhou, Chengtai Cao, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Ji Geng


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Relational State-Space Model for Stochastic Multi-Object Systems


Jan 13, 2020
Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao

* Accepted by ICLR 2020 

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Deep Active Learning: Unified and Principled Method for Query and Training


Nov 20, 2019
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang


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A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model


Nov 05, 2019
Fan Zhou, Ping Li


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Quantifying Layerwise Information Discarding of Neural Networks


Jun 10, 2019
Haotian Ma, Yinqing Zhang, Fan Zhou, Quanshi Zhang


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Meta-GNN: On Few-shot Node Classification in Graph Meta-learning


May 23, 2019
Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng


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A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction


Mar 12, 2019
Fan Zhou, Guojing Cong


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ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks


Dec 03, 2018
Kunal Sankhe, Mauro Belgiovine, Fan Zhou, Shamnaz Riyaz, Stratis Ioannidis, Kaushik Chowdhury

* Accepted in IEEE INFOCOM 2019, Paris, France, May 2019 

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Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction


Oct 18, 2018
Bolun Zheng, Yaowu Chen, Xiang Tian, Fan Zhou, Xuesong Liu


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On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization


May 16, 2018
Fan Zhou, Guojing Cong


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The $\ell_\infty$ Perturbation of HOSVD and Low Rank Tensor Denoising


May 03, 2018
Dong Xia, Fan Zhou


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Nonparametric Estimation of Low Rank Matrix Valued Function


Mar 06, 2018
Fan Zhou


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