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Hao Ma

State Key Laboratory of Information Engineering in Survering, Mapping and Remote Sensing, Wuhan University

Studying Strategically: Learning to Mask for Closed-book QA

Jan 01, 2021
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa


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CLEAR: Contrastive Learning for Sentence Representation

Dec 31, 2020
Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma

* 10 pages, 2 figures 

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A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System

Oct 27, 2020
Hao Ma, Jingbin Liu, Zhirong Hu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang


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A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System

Oct 27, 2020
Hao Ma, Jingbin Liu, Keke Liu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang


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A marine radioisotope gamma-ray spectrum analysis method based on Monte Carlo simulation and MLP neural network

Oct 24, 2020
Wenhan Dai, Zhi Zeng, Daowei Dou, Hao Ma, Jianping Chen, Junli Li, Hui Zhang

* 13 pages, 11 figures 

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Preserving Integrity in Online Social Networks

Sep 25, 2020
Alon Halevy, Cristian Canton Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Ves Stoyanov


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To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks

Jun 15, 2020
Sinong Wang, Madian Khabsa, Hao Ma

* Accepted in ACL2020 

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Linformer: Self-Attention with Linear Complexity

Jun 14, 2020
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma


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Language Models as Fact Checkers?

Jun 07, 2020
Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa

* Accepted in FEVER Workshop (ACL2020) 

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A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks

May 16, 2020
Hao Ma, Xiangyu Hu, Yuxuan Zhang, Nils Thuerey, Oskar J. Haidn

* 23 pages 12 figures 1 table 

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CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

Jan 12, 2020
Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Jyri Maanpää, Hao Ma, Juha Hyyppä, Ruizhi Chen

* 11 pages 

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Blockwise Self-Attention for Long Document Understanding

Nov 07, 2019
Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang


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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Jun 26, 2019
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

* 11 pages, in Proceedings of the Web Conference 2019 (WWW 19) 

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DeepInf: Social Influence Prediction with Deep Learning

Jul 15, 2018
Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang

* 10 pages, 5 figures, to appear in KDD 2018 proceedings 

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A Web-scale system for scientific knowledge exploration

May 30, 2018
Zhihong Shen, Hao Ma, Kuansan Wang

* 6 pages, accepted for ACL 2018 demo paper 

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GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Mar 20, 2018
Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung


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Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Feb 08, 2018
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang

* 9 pages, published in WSDM 2018 proceedings 

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A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering

Oct 05, 2017
Bin Bi, Hao Ma

* A paper with a similar method has been published earlier at arXiv:1706.04815 The authors believe there is no need for a separate publication 

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KeyVec: Key-semantics Preserving Document Representations

Sep 27, 2017
Bin Bi, Hao Ma


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