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Zhen Zhang
Learning Poisson systems and trajectories of autonomous systems via Poisson neural networks

Dec 05, 2020
Pengzhan Jin, Zhen Zhang, Ioannis G. Kevrekidis, George Em Karniadakis


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Cyclic Label Propagation for Graph Semi-supervised Learning

Nov 24, 2020
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu

* 19 pages, 4 figures 
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Deep Reinforcement Learning of Transition States

Nov 13, 2020
Jun Zhang, Yao-Kun Lei, Zhen Zhang, Xu Han, Maodong Li, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao

* version 1 
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CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints

Nov 01, 2020
Licheng Wen, Zhen Zhang, Zhe Chen, Xiangrui Zhao, Yong Liu


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Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint

Oct 31, 2020
Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang


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Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images

Aug 13, 2020
Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang

* 12 pages,MyoPS 2020 
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Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence

Aug 07, 2020
Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera

* 37 pages 
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FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing

Jul 13, 2020
Wei Shao, Sichen Zhao, Zhen Zhang, Shiyu Wang, Mohammad Saiedur Rahaman, Andy Song, Flora Dilys Salim

* 10 pages, 3 gifures, 6 tables 
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Is Network the Bottleneck of Distributed Training?

Jun 24, 2020
Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin


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A Perspective on Deep Learning for Molecular Modeling and Simulations

Apr 25, 2020
Jun Zhang, Yao-Kun Lei, Zhen Zhang, Junhan Chang, Maodong Li, Xu Han, Lijiang Yang, Yi Isaac Yang, Yi Qin Gao


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Few-Shot Graph Classification with Model Agnostic Meta-Learning

Mar 18, 2020
Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu


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Multiplicative Gaussian Particle Filter

Feb 29, 2020
Xuan Su, Wee Sun Lee, Zhen Zhang


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Hierarchical Graph Pooling with Structure Learning

Dec 25, 2019
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang

* Typo corrected, reference added and code is available at https://github.com/cszhangzhen/HGP-SL 
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KerGM: Kernelized Graph Matching

Nov 25, 2019
Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai

* NeurIPS'19, Spotlight Paper, Data and Code link available in the paper 
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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

* KDD'19, Oral Paper, Data and Code link available in the paper 
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Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition

Nov 22, 2019
Mohammed Haroon Dupty, Zhen Zhang, Wee Sun Lee


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Learning Clustered Representation for Complex Free Energy Landscapes

Jun 07, 2019
Jun Zhang, Yao-Kun Lei, Xing Che, Zhen Zhang, Yi Isaac Yang, Yi Qin Gao

* 6 figures, 1 table in the main text 
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Factor Graph Neural Network

Jun 03, 2019
Zhen Zhang, Fan Wu, Wee Sun Lee


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RetGK: Graph Kernels based on Return Probabilities of Random Walks

Sep 07, 2018
Zhen Zhang, Mianzhi Wang, Yijian Xiang, Yan Huang, Arye Nehorai


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Convolutional Sequence to Sequence Model for Human Dynamics

May 02, 2018
Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee

* CVPR2018 
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OmicsMapNet: Transforming omics data to take advantage of Deep Convolutional Neural Network for discovery

Apr 14, 2018
Shiyong Ma, Zhen Zhang


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Learning an Optimizer for Image Deconvolution

Apr 10, 2018
Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang


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Managing Multi-Granular Linguistic Distribution Assessments in Large-Scale Multi-Attribute Group Decision Making

Nov 18, 2015
Zhen Zhang, Chonghui Guo, Luis Martínez

* 32 pages 
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Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations

Apr 21, 2014
Zhen Zhang, Qinfeng Shi, Yanning Zhang, Chunhua Shen, Anton van den Hengel


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A feasible roadmap for unsupervised deconvolution of two-source mixed gene expressions

Oct 25, 2013
Niya Wang, Eric P. Hoffman, Robert Clarke, Zhen Zhang, David M. Herrington, Ie-Ming Shih, Douglas A. Levine, Guoqiang Yu, Jianhua Xuan, Yue Wang

* 5 pages, 5 figures, 3 tables 
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