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AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction


Jun 09, 2021
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He

* 10 pages 

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Visual analogy: Deep learning versus compositional models


May 14, 2021
Nicholas Ichien, Qing Liu, Shuhao Fu, Keith J. Holyoak, Alan Yuille, Hongjing Lu


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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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COVID-19 Modeling: A Review


Apr 16, 2021
Longbing Cao, Qing Liu, Wenfeng Hou


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CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models


Mar 25, 2021
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille

* 18 pages, 10 figures 

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Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency


Mar 23, 2021
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang

* 14 pages, 8 figures, accepted by CVPR 2021 

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Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification


Feb 26, 2021
Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu


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Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization


Jan 25, 2021
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu


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A Deep Retinal Image Quality Assessment Network with Salient Structure Priors


Dec 31, 2020
Ziwen Xu, beiji Zou, Qing Liu


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Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images


Dec 03, 2020
Qing Liu, Haotian Liu, Yixiong Liang


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A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment


Oct 26, 2020
Ziwen Xu, Beiji Zou, Qing Liu


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Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion


Jun 28, 2020
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan Yuille


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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion


Apr 03, 2020
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille

* CVPR 2020; Code is available https://github.com/AdamKortylewski/CompositionalNets 

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Incremental Learning for Metric-Based Meta-Learners


Feb 11, 2020
Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto


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Localizing Occluders with Compositional Convolutional Networks


Nov 18, 2019
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille

* Presented at "NeurIPS 2019 workshop on Perception as generative reasoning" and "NeurIPS 2019 workshop on Context and Compositionality in Biological and Artificial Neural Systems". arXiv admin note: text overlap with arXiv:1905.11826 

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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation


Nov 05, 2019
Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang


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Dual-attention Focused Module for Weakly Supervised Object Localization


Sep 11, 2019
Yukun Zhou, Zailiang Chen, Hailan Shen, Qing Liu, Rongchang Zhao, Yixiong Liang

* 8 pages, 6 figures and 4 tables 

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Compositional Convolutional Networks For Robust Object Classification under Occlusion


May 29, 2019
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille


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DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation


Apr 18, 2019
Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou


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Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval


Apr 05, 2019
Qing Liu, Lingxi Xie, Huiyu Wang, Alan Yuille


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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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Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data


Nov 28, 2018
Yutong Bai, Qing Liu, Lingxi Xie, Yan Zheng, Weichao Qiu, Alan Yuille


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Few-shot Learning by Exploiting Visual Concepts within CNNs


Feb 13, 2018
Boyang Deng, Qing Liu, Siyuan Qiao, Alan Yuille


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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 https://developer.amazon.com/alexaprize/proceedings accessed (2018)-01-01 
* 18 pages, 5 figures, Alexa Prize Proceedings Paper (https://developer.amazon.com/alexaprize/proceedings), Alexa Prize University Competition to advance Conversational AI 

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