Chang Xu
Chang Xu
Senior Researcher, Microsoft Research Asia
Verified email at - Homepage
Cited by
Cited by
Sequential click prediction for sponsored search with recurrent neural networks
Y Zhang, H Dai, C Xu, J Feng, T Wang, J Bian, B Wang, TY Liu
Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014
Rc-net: A general framework for incorporating knowledge into word representations
C Xu, Y Bai, J Bian, B Gao, G Wang, X Liu, TY Liu
Proceedings of the 23rd ACM international conference on information and …, 2014
Health status assessment and failure prediction for hard drives with recurrent neural networks
C Xu, G Wang, X Liu, D Guo, TY Liu
IEEE Transactions on Computers 65 (11), 3502-3508, 2016
Bag-of-words based deep neural network for image retrieval
Y Bai, W Yu, T Xiao, C Xu, K Yang, WY Ma, T Zhao
Proceedings of the 22nd ACM international conference on Multimedia, 229-232, 2014
Rest: Relational event-driven stock trend forecasting
W Xu, W Liu, C Xu, J Bian, J Yin, TY Liu
Proceedings of the web conference 2021, 1-10, 2021
Automatic image dataset construction from click-through logs using deep neural network
Y Bai, K Yang, W Yu, C Xu, WY Ma, T Zhao
Proceedings of the 23rd ACM international conference on Multimedia, 441-450, 2015
Reinforcement learning for learning rate control
C Xu, T Qin, G Wang, TY Liu
arXiv preprint arXiv:1705.11159, 2017
Stock trend prediction with multi-granularity data: A contrastive learning approach with adaptive fusion
M Hou, C Xu, Y Liu, W Liu, J Bian, L Wu, Z Li, E Chen, TY Liu
Proceedings of the 30th ACM International Conference on Information …, 2021
Multi-granularity residual learning with confidence estimation for time series prediction
M Hou, C Xu, Z Li, Y Liu, W Liu, E Chen, J Bian
Proceedings of the ACM Web Conference 2022, 112-121, 2022
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks
C Xu, H Weiran, W Hongwei, W Gang, L Tie-Yan
AAAI 2019, 2019
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models
C Xu, T Qin, G Wang, TY Liu
IJCAI 2019, 2019
Learning differential operators for interpretable time series modeling
Y Luo, C Xu, Y Liu, W Liu, S Zheng, J Bian
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Convolutional neural networks for posed and spontaneous expression recognition
C Xu, T Qin, Y Bar, G Wang, TY Liu
2017 IEEE International Conference on Multimedia and Expo (ICME), 769-774, 2017
MG-TSD: Multi-granularity time series diffusion models with guided learning process
X Fan, Y Wu, C Xu, Y Huang, W Liu, J Bian
The Twelfth International Conference on Learning Representations 2024, 2024
An Actor-critic Algorithm for Learning Rate Learning
C Xu, T Qin, G Wang, TY Liu
A multimodal stepwise-coordinating framework for pedestrian trajectory prediction
Y Wang, Z Guo, C Xu, J Lin
Knowledge-Based Systems, 112038, 2024
Microstructure-Empowered Stock Factor Extraction and Utilization
X Jiao, Z Li, C Xu, Y Liu, W Liu, J Bian
arXiv preprint arXiv:2308.08135, 2023
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation
T He, K Lu, C Xu, Y Liu, W Liu, SHG Chan, J Bian
arXiv preprint arXiv:2307.12987, 2023
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