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Lijun Wu

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Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics

Jun 09, 2021
Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

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UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Apr 11, 2021
Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu

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IOT: Instance-wise Layer Reordering for Transformer Structures

Mar 05, 2021
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

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ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting

Dec 11, 2020
Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian

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Masked Contrastive Representation Learning for Reinforcement Learning

Oct 15, 2020
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li

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Learn to Use Future Information in Simultaneous Translation

Jul 10, 2020
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu

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Learning to Teach with Deep Interactions

Jul 09, 2020
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

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Multi-branch Attentive Transformer

Jun 18, 2020
Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

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Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

Jun 08, 2020
Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

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