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SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning

Feb 08, 2021
Di Wu, Liang Ding, Shuo Yang, Dacheng Tao

* Work in progress 

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Understanding and Improving Lexical Choice in Non-Autoregressive Translation

Jan 27, 2021
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu

* ICLR 2021 

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Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning

Dec 29, 2020
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu


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Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues

Nov 03, 2020
Ruyi Zhou, Wenhao Feng, Huaiguang Yang, Haibo Gao, Nan Li, Zongquan Deng, Liang Ding

* 11 pages, 15 figures 

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Context-Aware Cross-Attention for Non-Autoregressive Translation

Nov 02, 2020
Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu

* To appear in COLING 2020 

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Sample and Computationally Efficient Simulation Metamodeling in High Dimensions

Oct 14, 2020
Liang Ding, Xiaowei Zhang

* 64 pages, 9 figures 

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Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns

Oct 10, 2020
Lei Zhou, Liang Ding, Koichi Takeda

* To appear in WMT2020 

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SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

Oct 06, 2020
Di Wu, Liang Ding, Fan Lu, Jian Xie

* To appear in main conference of EMNLP 2020 

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Fault Tolerant Free Gait and Footstep Planning for Hexapod Robot Based on Monte-Carlo Tree

Jun 16, 2020
Liang Ding, Peng Xu, Haibo Gao, Zhikai Wang, Ruyi Zhou, Zhaopei Gong, Guangjun Liu


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Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs

Jun 05, 2020
Liang Ding, Rui Tuo, Shahin Shahrampour


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Self-Attention with Cross-Lingual Position Representation

May 08, 2020
Liang Ding, Longyue Wang, Dacheng Tao

* To appear in ACL 2020 

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Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features

Feb 11, 2020
Liang Ding, Rui Tuo, Shahin Shahrampour


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Recurrent Graph Syntax Encoder for Neural Machine Translation

Aug 19, 2019
Liang Ding, Dacheng Tao

* Work in Progress 

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The University of Sydney's Machine Translation System for WMT19

Jun 30, 2019
Liang Ding, Dacheng Tao

* To appear in WMT2019 

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Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling

Jan 21, 2018
Liang Ding, Di Chang, Russell Malmberg, Aaron Martinez, David Robinson, Matthew Wicker, Hongfei Yan, Liming Cai

* 18 pages main text, 2 pages appendix 

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RGBD-based Parameter Extraction for Door Opening Tasks with Human Assists in Nuclear Rescue

Oct 16, 2016
Jiajun Li, Jianguo Tao, Liang Ding, Haibo Gao, Zongquan Deng, Yu Wu

* 6 pages, 8 figures 

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