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Deep Sequence Modeling: Development and Applications in Asset Pricing

Aug 20, 2021
Lin William Cong, Ke Tang, Jingyuan Wang, Yang Zhang

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Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-$N$ Recommendation

Jun 12, 2021
Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

* 26 pages 

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Interpreting Deep Learning Model Using Rule-based Method

Oct 15, 2020
Xiaojian Wang, Jingyuan Wang, Ke Tang

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Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method

Feb 28, 2020
Mingxuan Li, Jingyuan Wang, Yufan Wu, Shuchang Zhou

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AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

Jul 24, 2019
Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong

* Accepted for POSTER presentation at KDD2019 Applied Data Science Track 

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Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation

Jul 19, 2019
Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, Xin Lin

* 9 pages, 25TH ACM SIGKDD Conference On Knowledge Discovery And Data Mining 

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Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

May 10, 2019
Jingyuan Wang, Junjie Wu, Ze Wang, Fei Gao, Zhang Xiong

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Decision Making with Machine Learning and ROC Curves

May 05, 2019
Kai Feng, Han Hong, Ke Tang, Jingyuan Wang

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SVM-based Deep Stacking Networks

Feb 15, 2019
Jingyuan Wang, Kai Feng, Junjie Wu

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Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Jun 23, 2018
Jingyuan Wang, Ze Wang, Jianfeng Li, Junjie Wu

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