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SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems


Jan 14, 2022
Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis


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MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images


Jan 10, 2022
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martin-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu7, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Elodie Puybareau, Ilkay Oksuz, Stephanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura M. Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang


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Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation


Sep 08, 2021
Nan Xue, Tianfu Wu, Zhen Zhang, Gui-Song Xia

* Technical report; Code will be released 

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GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems


Aug 31, 2021
Zhen Zhang, Yeonjong Shin, George Em Karniadakis


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Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


Jul 30, 2021
Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu

* 24 pages 

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Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation


Jul 14, 2021
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan


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Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data


Jul 14, 2021
Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou


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Automatic Pulmonary Artery and Vein Separation Algorithm Based on Multitask Classification Network and Topology Reconstruction in Chest CT Images


Mar 22, 2021
Lin Pan, Yaoyong Zheng, Liqin Huang, Liuqing Chen, Zhen Zhang, Rongda Fu, Bin Zheng, Shaohua Zheng


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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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