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Zeng Zeng

Institute for Infocomm Research

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading


Aug 15, 2021
Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li

* Accepted in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC 2021 

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Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation


Aug 15, 2021
Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce KH Chow

* Accepted in 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC 2021 

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Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation


May 21, 2021
Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan

* Submitted to EMBC 2021 

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An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance


Mar 10, 2021
Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng


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DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation


Jan 22, 2021
Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan

* Published as a journal paper at IEEE J-BHI 

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Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning


Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng


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Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network


Jan 19, 2021
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng


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Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road


Nov 24, 2020
Xiupeng Shi, Yiik Diew Wong, Chen Chai, Michael Zhi-Feng Li, Tianyi Chen, Zeng Zeng


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Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading


Oct 29, 2020
Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li

* 2020 IEEE International Conference on Image Processing (ICIP), pp. 2496-2500 
* Accepted to ICIP 2020 

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A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection


May 29, 2020
Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng

* The work has been accepted by Information Sciences! 

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Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma


May 08, 2020
Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow

* Accepted version to be published in the 42nd IEEE Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada 

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Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma


May 08, 2020
Jiapan Gu, Ziyuan Zhao, Zeng Zeng, Yuzhe Wang, Zhengyiren Qiu, Bharadwaj Veeravalli, Brian Kim Poh Goh, Glenn Kunnath Bonney, Krishnakumar Madhavan, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce KH Chow

* Accepted version to be published in the 42nd IEEE Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada 

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Multi-Target Deep Learning for Algal Detection and Classification


May 07, 2020
Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng

* Accepted version to be published in the 42nd IEEE Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada 

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Deeply Supervised Active Learning for Finger Bones Segmentation


May 07, 2020
Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng

* Accepted version to be published in the 42nd IEEE Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020, Montreal, Canada 

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Ordered or Orderless: A Revisit for Video based Person Re-Identification


Dec 24, 2019
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen

* Under Minor Revision in IEEE TPAMI 

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FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision


Nov 09, 2019
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar

* IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2019 
* 8 pages, 8 figures, ITSC 2019 

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Cribriform pattern detection in prostate histopathological images using deep learning models


Oct 09, 2019
Malay Singh, Emarene Mationg Kalaw, Wang Jie, Mundher Al-Shabi, Chin Fong Wong, Danilo Medina Giron, Kian-Tai Chong, Maxine Tan, Zeng Zeng, Hwee Kuan Lee

* 21 pages, 4 figures, 6 tables 

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Robust Regression via Deep Negative Correlation Learning


Aug 24, 2019
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng


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A Deep Framework for Bone Age Assessment based on Finger Joint Localization


May 07, 2019
Xiaoman Zhang, Ziyuan Zhao, Cen Chen, Songyou Peng, Min Wu, Zhongyao Cheng, Singee Teo, Le Zhang, Zeng Zeng


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Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation


Mar 12, 2019
Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng

* IEEE BHI 2019 accepted 

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Graph Convolutional Neural Networks for Polymers Property Prediction


Nov 15, 2018
Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar

* Accepted for NIPS 2018 Workshop on Machine Learning for Molecules and Materials 

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End-to-End Video Classification with Knowledge Graphs


Nov 06, 2017
Fang Yuan, Zhe Wang, Jie Lin, Luis Fernando D'Haro, Kim Jung Jae, Zeng Zeng, Vijay Chandrasekhar

* 9 pages, 5 figures 

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Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text


Jul 10, 2017
Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Yuan Fang, Seokhwan Kim, Nancy Chen, Luis Fernando D'Haro, Luu Anh Tuan, Hongyuan Zhu, Zeng Zeng, Ngai Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar

* 8 pages, Accepted to CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding 

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Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge


May 26, 2017
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar


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A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification


Mar 03, 2017
Xulei Yang, Zeng Zeng, Si Yong Yeo, Colin Tan, Hong Liang Tey, Yi Su

* Submission to support ISIC 2017 challenge results 

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