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Jie Zhu

ES-CRF: Embedded Superpixel CRF for Semantic Segmentation


Dec 14, 2021
Jie Zhu, Huabin Huang, Banghuai Li, Leye Wang

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* 10 page 4 figures 
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MSP : Refine Boundary Segmentation via Multiscale Superpixel


Dec 03, 2021
Jie Zhu, Huabin Huang, Banghuai Li, Yong Liu, Leye Wang

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* under review 
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Multi-View Stereo with Transformer


Dec 01, 2021
Jie Zhu, Bo Peng, Wanqing Li, Haifeng Shen, Zhe Zhang, Jianjun Lei

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Dense Representative Tooth Landmark/axis Detection Network on 3D Model


Nov 09, 2021
Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, Pradeep Singh, Min Gu, Wenping Wang

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* 11pages,27figures 
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Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data


Oct 03, 2021
Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi

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* This podium abstract was peer-reviewed and accepted in 2018, and presented at Medinfo-2019 in Leon France in August 2019 
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Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF)


Aug 24, 2021
Jie Zhu, Blanca Gallego

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CDSM -- Casual Inference using Deep Bayesian Dynamic Survival Models


Feb 24, 2021
Jie Zhu, Blanca Gallego

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Dynamic prediction of time to event with survival curves


Jan 26, 2021
Jie Zhu, Blanca Gallego

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Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures


Nov 11, 2020
Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng, Shu-Huan Xie, Yong Li, Andrea Alu, Jie Zhu, Xue-Feng Zhu

* Research, vol. 2020, Article ID 8757403, 2020 
 * Published in Research, an AAAS Science Partner Journal 
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Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis


Oct 22, 2019
Jie Zhu, Blanca Gallego

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Modeling Graph Structure in Transformer for Better AMR-to-Text Generation


Aug 31, 2019
Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou

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* Accepted by EMNLP 2019 
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Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method


Mar 14, 2019
Weitian Li, Haiguang Xu, Zhixian Ma, Ruimin Zhu, Dan Hu, Zhenghao Zhu, Junhua Gu, Chenxi Shan, Jie Zhu, Xiang-Ping Wu

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* 2019, MNRAS, 485, 2628 
 * 10 pages, 9 figures; minor text updates to match the MNRAS published version 
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Attending Category Disentangled Global Context for Image Classification


Dec 17, 2018
Keke Tang, Guodong Wei, Runnan Chen, Jie Zhu, Wenping Wang

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* Under review 
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Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models


Jun 01, 2018
Zhixian Ma, Jie Zhu, Weitian Li, Haiguang Xu

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* Accepted by the 14th International Conference on Signal Processing (ICSP2018) 
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Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors


Feb 18, 2018
Ying Shan, Jian Jiao, Jie Zhu, JC Mao

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* 15 pages, 5 figures, 6 tables 
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Deep Embedding Forest: Forest-based Serving with Deep Embedding Features


Mar 15, 2017
Jie Zhu, Ying Shan, JC Mao, Dong Yu, Holakou Rahmanian, Yi Zhang

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* 14 pages, 3 figures, 5 tables 
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X-ray Astronomical Point Sources Recognition Using Granular Binary-tree SVM


Mar 07, 2017
Zhixian Ma, Weitian Li, Lei Wang, Haiguang Xu, Jie Zhu

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* Accepted by ICSP2016 
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