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SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Oct 19, 2020
Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li

* Accepted to CoRL 2020 

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Multi-hop Question Generation with Graph Convolutional Network

Oct 19, 2020
Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung


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Microscopic fine-grained instance classification through deep attention

Oct 06, 2020
Mengran Fan, Tapabrata Chakrabort, Eric I-Chao Chang, Yan Xu, Jens Rittscher


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Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems

Sep 28, 2020
Andrea Madotto, Samuel Cahyawijaya, Genta Indra Winata, Yan Xu, Zihan Liu, Zhaojiang Lin, Pascale Fung

* Accepted EMNLP findings 

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Few-Shot Learning with Intra-Class Knowledge Transfer

Aug 22, 2020
Vivek Roy, Yan Xu, Yu-Xiong Wang, Kris Kitani, Ruslan Salakhutdinov, Martial Hebert


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Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Jun 22, 2020
Gelu Nita, Manolis Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason Wang, Rafal Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus Martens, Ryan McGranaghan, Edward Semones, John Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

* Workshop Report 

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CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research

May 04, 2020
Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung


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A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis

Apr 10, 2020
Honglei Liu, Yan Xu, Zhiqiang Zhang, Ni Wang, Yanqun Huang, Zhenghan Yang, Rui Jiang, Hui Chen

* 12Pages,4 Figures, 3 Tables 

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MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

Apr 08, 2020
Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu

* CVPR 2020 (Oral) 

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SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Apr 06, 2020
Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, Dahua Lin

* Code is available at https://github.com/xinge008/SSN 

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SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking

Mar 17, 2020
Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng

* 8pages 

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Estimating 3D Camera Pose from 2D Pedestrian Trajectories

Jan 02, 2020
Yan Xu, Vivek Roy, Kris Kitani

* Accepted in WACV 2020 

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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

Nov 11, 2019
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung

* Accepted in EMNLP 2019 

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Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

Oct 15, 2019
Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li

* Accepted to ICCV 2019 

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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

Aug 16, 2019
Zihan Liu, Yan Xu, Genta Indra Winata, Pascale Fung

* Accepted at WMT 2019. (The first and second authors contributed equally) 

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Constrained Multi-Objective Optimization for Automated Machine Learning

Aug 14, 2019
Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu

* 10 pages, 8 figures, accepted at DSAA 2019 

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Recursive Cascaded Networks for Unsupervised Medical Image Registration

Jul 29, 2019
Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu

* Accepted to ICCV 2019 

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CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification

Jun 10, 2019
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, Jamin Shin, Yan Xu, Peng Xu, Pascale Fung

* Accepted by SemEval 2019 

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Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

May 10, 2019
Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu

* Accepted to CVPR 2019. Yan Xu and Baoyuan Wu are co-first authors 

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Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network

Feb 13, 2019
Tingfung Lau, Ji Luo, Shengyu Zhao, Eric I-Chao Chang, Yan Xu


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Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Oct 04, 2018
Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu, Shuicheng Yan, Jiashi Feng


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MRI Cross-Modality NeuroImage-to-NeuroImage Translation

Sep 11, 2018
Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric I-Chao Chang, Yan Xu

* 46 pages, 16 figures 

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Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning

Aug 02, 2018
Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu

* 10 Pages, 9 figures, accept by KDD 2018 

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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/ 

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Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks

Jul 07, 2018
Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

* Accepted for publication in IEEE Journal of Biomedical and Health Informatics 

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Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning

Jun 22, 2018
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen, Kris M. Kitani


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Bayesian hierarchical models for SNP discovery from genome-wide association studies, a semi-supervised machine learning approach

Jun 21, 2018
Yan Xu, Li Xing, Jessica Su, Xuekui Zhang, Weiliang Qiu

* 17 pages for the main manuscript (exclude supplementary data). 2 figures, 2 tables, 5 supplementary figures, 3 supplementary tables 

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A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion

Feb 09, 2018
Lin Xiong, Jayashree Karlekar, Jian Zhao, Yi Cheng, Yan Xu, Jiashi Feng, Sugiri Pranata, Shengmei Shen

* 13 pages, 10 figures 

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