Deep Learning

Deep Learning

* [ICML Workshop] W. Bao, X.-Y. Liu, Multi-agent reinforcement learning for liquidation strategy analysis. ICML Workshop on Applications and Infrastructure for Multi-Agent Learning, 2019.

* [ICML Workshop] X. Li, Y. Li, Y. Zhan, X.-Y. Liu, Optimistic Bull or Pessimistic Bear: adaptive deep reinforcement learning for stock portfolio allocation. ICML Workshop on Applications and Infrastructure for Multi-Agent Learning, 2019.

* [KDD Workshop] X. Li, Y. Li, X.-Y. Liu, C. Wang, Risk management via anomaly circumvent: Mnemonic deep learning for midterm stock prediction. KDD Workshop on Anomaly Detection in Finance, 2019.

* [NeurIPS Workshop] X.-Y. Liu, Z. Ding, S. Borst, A. Walid. Deep Reinforcement Learning for Intelligent Transportation Systems [PDF]. NIPS Workshop on ITS, 2018.

* [NeurIPS Workshop] Z. Xiong, X.-Y. Liu, S. Zhong, H. Yang, A. Walid. Practical Deep Reinforcement Learning Approach for Stock Trading.  NIPS  Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, 2018.

* [AAAI] F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Efficient multi-dimensional tensor sparse coding using t-linear combinations. AAAI, 2018.

* C. Zhu, L. Xu, X.-Y. Liu, F. Qian. Tensor-generative adversarial network with two-dimensional sparse coding: application to real-time indoor localization.IEEE International Conference on Communications (ICC), 2018.

* [Geophysics] F. Qian, M. Yin, X.-Y. Liu, Y.-J. Wang, C. Lu, G.-M. Hu. Unsupervised seismic facies analysis via deep convolutional autoencoders. Geophysics, 2018.

* F. Jiang, H. Li, X. Hou, B. Sheng, R. Shen, X.-Y. Liu, W. Jia, P. Li, R. Fang: Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing 229: 23-33, 2017.

Tensor Alternating Minimization

Go into the places only locals are familiar with. Visit little known hideouts and avenues that open the mind into what being a local is all about.

Tensor Nuclear-Norm Minimization

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Go into the places only locals are familiar with. Visit little known hideouts and avenues that open the mind into what being a local is all about.

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