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Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation


Mar 16, 2022
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael Lyu

* Accepted by ACL 2022 main conference 

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Discrete Auto-regressive Variational Attention Models for Text Modeling


Jun 16, 2021
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael Lyu, Irwin King

* IJCNN 2021 

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BinaryBERT: Pushing the Limit of BERT Quantization


Dec 31, 2020
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King


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Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation


Oct 24, 2020
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, Xing Wang


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Learning 3D Face Reconstruction with a Pose Guidance Network


Oct 09, 2020
Pengpeng Liu, Xintong Han, Michael Lyu, Irwin King, Jia Xu

* ACCV 2020 (Oral) 

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Why an Android App is Classified as Malware? Towards Malware Classification Interpretation


Apr 24, 2020
Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael Lyu


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Discrete Variational Attention Models for Language Generation


Apr 21, 2020
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael Lyu, Irwin King

* 7 pages, 3 figures 

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Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching


Apr 05, 2020
Pengpeng Liu, Irwin King, Michael Lyu, Jia Xu

* Published at the Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Few Shot Network Compression via Cross Distillation


Nov 21, 2019
Haoli Bai, Jiaxiang Wu, Irwin King, Michael Lyu

* AAAI 2020 

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Detecting Deep Neural Network Defects with Data Flow Analysis


Sep 30, 2019
Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael Lyu

* 2 pages 

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