Research Work

My area of interests are AI, Blockchain, Machine Learning and Computer Vision.

A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li and Dapeng Wu
The 58th Annual Meeting of the Association for Computational Linguistics
2020
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Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li and Dapeng Wu. A Batch Normalized Inference Network Keeps the KL Vanishing Away. The 58th Annual Meeting of the Association for Computational Linguistics 2020.
A Call for More Rigor in Unsupervised Cross-lingual Learning
Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka and Eneko Agirre
The 58th Annual Meeting of the Association for Computational Linguistics
2020
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Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka and Eneko Agirre. A Call for More Rigor in Unsupervised Cross-lingual Learning. The 58th Annual Meeting of the Association for Computational Linguistics 2020.
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks
Nastaran Babanejad, Ameeta Agrawal, Aijun An and Manos Papagelis
The 58th Annual Meeting of the Association for Computational Linguistics
2020
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Nastaran Babanejad, Ameeta Agrawal, Aijun An and Manos Papagelis. A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. The 58th Annual Meeting of the Association for Computational Linguistics 2020.
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking
Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu and Jie Zhou
The 58th Annual Meeting of the Association for Computational Linguistics
2020
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Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu and Jie Zhou. A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. The 58th Annual Meeting of the Association for Computational Linguistics 2020.
Dual Super-Resolution Learning for Semantic Segmentation
Wang, Li and Li, Dong and Zhu, Yousong and Tian, Lu and Shan, Yi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020
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Wang, Li and Li, Dong and Zhu, Yousong and Tian, Lu and Shan, Yi. Dual Super-Resolution Learning for Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Deep Unfolding Network for Image Super-Resolution
Zhang, Kai and Van Gool, Luc and Timofte, Radu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020
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Zhang, Kai and Van Gool, Luc and Timofte, Radu. Deep Unfolding Network for Image Super-Resolution. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image
Liu, Yunfei and Li, Yu and You, Shaodi and Lu, Feng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020
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Liu, Yunfei and Li, Yu and You, Shaodi and Lu, Feng. Unsupervised Learning for Intrinsic Image Decomposition From a Single Image. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Forward and Backward Information Retention for Accurate Binary Neural Networks
Qin, Haotong and Gong, Ruihao and Liu, Xianglong and Shen, Mingzhu and Wei, Ziran and Yu, Fengwei and Song, Jingkuan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020
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Qin, Haotong and Gong, Ruihao and Liu, Xianglong and Shen, Mingzhu and Wei, Ziran and Yu, Fengwei and Song, Jingkuan. Forward and Backward Information Retention for Accurate Binary Neural Networks. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.