Chang Xu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Sponsored Search

Click Prediction

Portuguese Language

Top Venues

Publications

Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. ICLR (2024)
Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. CoRR (2024)
Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. CoRR (2023)
Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian
Microstructure-Empowered Stock Factor Extraction and Utilization. CoRR (2023)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. CoRR (2022)
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. KDD (2022)
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
REST: Relational Event-driven Stock Trend Forecasting. CoRR (2021)
Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
REST: Relational Event-driven Stock Trend Forecasting. WWW (2021)
Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM (2021)
Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. AAAI (2019)
Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. IJCAI (2019)
Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks. CoRR (2018)
Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu
Reinforcement Learning for Learning Rate Control. CoRR (2017)
Chang Xu, Tao Qin, Yalong Bai, Gang Wang, Tie-Yan Liu
Convolutional neural networks for posed and spontaneous expression recognition. ICME (2017)
Chang Xu, Gang Wang, Xiaoguang Liu, Dongdong Guo, Tie-Yan Liu
Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Trans. Computers 65 (11) (2016)
Yalong Bai, Kuiyuan Yang, Wei Yu, Chang Xu, Wei-Ying Ma, Tiejun Zhao
Automatic Image Dataset Construction from Click-through Logs Using Deep Neural Network. ACM Multimedia (2015)
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. CoRR (2014)
Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu
RC-NET: A General Framework for Incorporating Knowledge into Word Representations. CIKM (2014)
Yalong Bai, Wei Yu, Tianjun Xiao, Chang Xu, Kuiyuan Yang, Wei-Ying Ma, Tiejun Zhao
Bag-of-Words Based Deep Neural Network for Image Retrieval. ACM Multimedia (2014)
Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. AAAI (2014)