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Generative Adversarial Networks: A Survey Towards Private and Secure Applications

Jun 07, 2021
Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, Yi Pan

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Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks

May 21, 2021
Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji, Yi Pan, Yanqing Zhang

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Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates

May 10, 2021
Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan

* To appear in IEEE Journal on Selected Areas in Communications 

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Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

Apr 23, 2021
Chunyan Ji, Yi Pan

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Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems

Apr 19, 2021
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang

* NAACL 2021 System Demonstrations Track 

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Infant Cry Classification with Graph Convolutional Networks

Jan 31, 2021
Chunyan Ji, Ming Chen, Bin Li, Yi Pan

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PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks

Sep 24, 2020
Xueli Xiao, Chunyan Ji, Thosini Bamunu Mudiyanselage, Yi Pan

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Deep Neural Networks with Short Circuits for Improved Gradient Learning

Sep 23, 2020
Ming Yan, Xueli Xiao, Joey Tianyi Zhou, Yi Pan

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Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association

Sep 15, 2020
Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, Yanqing Zhang, Yi Pan

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A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News

Jul 23, 2020
Yang Li, Yi Pan

* 15 pages, 11 figures 

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Improved Detection of Adversarial Images Using Deep Neural Networks

Jul 10, 2020
Yutong Gao, Yi Pan

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Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm

Jun 23, 2020
Xueli Xiao, Ming Yan, Sunitha Basodi, Chunyan Ji, Yi Pan

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Gradient Amplification: An efficient way to train deep neural networks

Jun 16, 2020
Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

* Big Data Mining and Analytics 2020 
* 9 page document with 7 figures and one results table 

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Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize

Dec 27, 2018
Chandra Khatri, Behnam Hedayatnia, Anu Venkatesh, Jeff Nunn, Yi Pan, Qing Liu, Han Song, Anna Gottardi, Sanjeev Kwatra, Sanju Pancholi, Ming Cheng, Qinglang Chen, Lauren Stubel, Karthik Gopalakrishnan, Kate Bland, Raefer Gabriel, Arindam Mandal, Dilek Hakkani-Tur, Gene Hwang, Nate Michel, Eric King, Rohit Prasad

* 2018 Alexa Prize Proceedings 

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Reconstruction of Hidden Representation for Robust Feature Extraction

Oct 23, 2018
Zeng Yu, Tianrui Li, Ning Yu, Yi Pan, Hongmei Chen, Bing Liu

* This article has been accepted for publication in a future issue of ACM Transactions on Intelligent Systems and Technology 

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Conversational AI: The Science Behind the Alexa Prize

Jan 11, 2018
Ashwin Ram, Rohit Prasad, Chandra Khatri, Anu Venkatesh, Raefer Gabriel, Qing Liu, Jeff Nunn, Behnam Hedayatnia, Ming Cheng, Ashish Nagar, Eric King, Kate Bland, Amanda Wartick, Yi Pan, Han Song, Sk Jayadevan, Gene Hwang, Art Pettigrue

* Alexa.Prize.Proceedings accessed (2018)-01-01 
* 18 pages, 5 figures, Alexa Prize Proceedings Paper (, Alexa Prize University Competition to advance Conversational AI 

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Three-Stream Convolutional Networks for Video-based Person Re-Identification

Nov 22, 2017
Zeng Yu, Tianrui Li, Ning Yu, Xun Gong, Ke Chen, Yi Pan

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Parallel Large-Scale Attribute Reduction on Cloud Systems

Oct 06, 2016
Junbo Zhang, Tianrui Li, Yi Pan

* 14 pages, 10 figures 

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