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Instance-wise Graph-based Framework for Multivariate Time Series Forecasting


Sep 14, 2021
Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu


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Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation


Jul 12, 2021
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian


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Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport


Jun 25, 2021
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian

* Accepted by KDD 2021 (research track) 

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Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian


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REST: Relational Event-driven Stock Trend Forecasting


Feb 19, 2021
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, 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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Qlib: An AI-oriented Quantitative Investment Platform


Sep 22, 2020
Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu


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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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Measuring Model Complexity of Neural Networks with Curve Activation Functions


Jun 16, 2020
Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei

* KDD 2020 

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Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction


Mar 16, 2018
Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu

* (1) The MSRA(the organization of the author) planned to apply the patent for this technology, and this paper didn't include the corresponding acknowledge, so we need to withdraw it for a while. (2) The experiment details are not complete and may be confusing to readers, we need to refine the details to avoid unnecessary trouble to readers 

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