Team Members

Xiao-Yang Liu,  TPC member for the conferences AAAI 2018-2020, IJCAI 2018-2019, etc.

NeurIPS2019 Workshop on Machine Learning for Autonomous Driving.

Session Chair for IJCAI 2019.

Advisors

Prof. Xiaodong Wang, IEEE Fellow, Columbia University in the City of New York.

Anwar Walid, IEEE Fellow, Director of the Network intelligence and Distributed Systems, Nokia-Bell Labs;  Adjunct Professor, Columbia University in the City of New York. 

Collaborators

Qibin Zhao, Unit Leader, Tensor Learning Unit, Riken Lab, Janpan.

Linghe Kong, Research Professor, Shanghai Jiao Tong University.

Tao Zhang, Lecturer & Researcher, Shanghai University.

Bo Yuan, Assistant Professor, Electrical & Computer Engineering, Rutgers University.

Xin Yuan, Nokia-Bell Labs.

Christina Dan WangAssistant Professor of Finance, NYU Shanghai; Global Network Assistant Professor, NYU.

Vaneet Aggarwal, Associate Professor, Purdue University.

Shuchin Aeron, Associate Professor, Tufts University.

Current Team Members

Ming Zhu, Post Doc, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences.

Yinchuan Li, Visiting Scholar, PhD at Beijing Institute of Technology.

Zhe Song, Visiting Scholar, PhD at Xi’an Jao Tong University.

Yigong Hu, Master, Electrical Engineering, Columbia University, 2019.09~

Yimeng Zhang, Master, Electrical Engineering, Columbia University, 2019.07~

Iris Yang, Bachelor, Computer Science, Columbia University, 2019.6~

        [URTC] Liuqing Yang, X.-Y. Liu. Tensor nuclear-norm minimization for snapshot compressive imaging cameras. MIT Undergraduate Research Technology Conference, 2019.

       [SmartBlock] Liuqing Yang, X.-Y. Liu, X. Li, Y. Li. Price prediction of cryptocurrency: empirical analysis. SmartBlock 2019.

       [NeurIPS Workshop] X. Li, Y. Li, H. Yang, Liuqing Yang,  X.-Y. Liu. DP-LSTM: A differential privacy framework for stock prediction based on financial news. Robust AI in FS 2019 : NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 2019.

Chen Shang, Bachelor, Mathematic, University of Michigan–Ann Arbor, 2017.6~

        [URTC] Chen Shang, X.-Y. Liu. Neural networks’ capability of recognizing symmetry structures: A tensor perspective. MIT Undergraduate Research Technology Conference, 2019.

        H. Zhou, X.-Y. Liu, C. Fu, Chen Shang, X. Chang. Differentially private matrix completion via distributed matrix factorization. IEEE TrustCom, 2018.

Alumni

Runjia Luna Zhang, Bachelor, Electrical Engineering, Columbia University, 2018.9~2019.08. Rilen Lab, 2019.09~

       [URTC] R. Zhang, Z. Huang, X.-Y. Liu. Machine learning approach for art market. MIT Undergraduate Research Technology Conference, 2019.

      [HPCC] H. Li, T. Zhang, R. Zhang, X.-Y. Liu. High-performance tensor decoder on GPUs for wireless camera networks in IoT. IEEE HPCC 2019.

Xiaocheng Han, Bachelor, Computer Science, Shanghai Jiao Tong University, summer intern, 2019.07~2019.09.

Paul Zhuoran Xiong, Master, Electrical Engineering, Columbia University, 2018.09~2019.02. Ph.D student, McGill University, 2019.09~

      [NeurIPS Workshop] Z. Xiong, X.-Y. Liu, S. Zhong, H. Yang, A. Walid. Practical deep reinforcement learning approach for stock trading.  NeurIPS  Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, 2018. 

Miao Yin, Master, University of Electronic Science and Technology of China, 2016~2018.  PhD student in Electrical and Computer Engineering of Rutgers University, 2019.09~

      [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.

      [ICCAD] C. Deng, M. Yin, X.-Y. Liu, X. Wang, B. Yuan. High-performance hardware architecture for tensor singular value decomposition (Invited paper).  International Conference on Computer-Aided Design (ICCAD), 2019.

      [IJCAI Workshop] Z. Ding, X.-Y. Liu, M. Yin, L. Kong, Tensor super-resolution with generative adversarial nets: A large image generation approach. IJCAI Joint Workshop on Human Brain and Artificial Intelligence, 2019.

Jiawei Ma, Master, Electrical Engineering, Columbia University, 2019.1~2019.08.

      [ICCV] Jiawei Ma, X.-Y. Liu (co-primary author)Z. Shou, X. Yuan. Deep tensor ADMM-net for snapshot compressive imaging. ICCV, 2019.

Xinyi Li, Master, Department of Statistics, Columbia University, 2018.9~2019.06. Feizai Co. Ltd., 2019.07~

       [NeurIPS Workshop] X. Li, Y. Li, H. Yang, L. Yang,  X.-Y. Liu. DP-LSTM: A differential privacy framework for stock prediction based on financial news. Robust AI in FS 2019 : NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 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 AI in Finance: Applications and Infrastructure for Multi-Agent Learning, 2019.

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

Zihan Ding, Master, Artificial Intelligence, Imperial College London, 2018.9~

      [IJCAI Workshop] Zihan Ding, X.-Y. Liu, M. Yin, L. Kong, Tensor super-resolution with generative adversarial nets: A large image generation approach. IJCAI Joint Workshop on Human Brain and Artificial Intelligence, 2019.

       [NeurIPS Workshop] X.-Y. Liu, Zihan Ding, S. Borst, A. Walid. Deep reinforcement learning for intelligent transportation systems. NeurIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2018.

Rui She, Visiting Scholar, PhD at Tsinghua University, 2019.01~2019.07.

Tianyu Geng, Visiting Scholar, PhD at Nankai University, 2018.09~2019.09.

Wenhang Bao, Master, Department of Statistics, Columbia University, 2016.09~2017.12.  Now, Senior Consultant/Data Scientist at Capgemini.  

        [NeurIPS Workshop] W.  Bao, X.-Y. Liu. Spatial influence-aware reinforcement learning for intelligent transportation system. NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019.

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

Yunzhe Fang, Master, Industrial Engineering and Operations Research, Columbia University, 2016.09~2018.06. Research Analyst, Active Equity at BlackRock, now.

        [BigData] Yunzhe Fang, X.-Y. Liu, Hongyang Yang. Practical machine learning approach to capture the scholar data driven alpha in AI industry. IEEE Big Data 2019, 5th Special Session on Intelligent Data Mining.

Hongyang Yang, Master, Department of Statistics, Columbia University, 2016.09~2018.06. Data Scientist at Cruise Credit (in Wall Street), 2018.07~2019.03. Senior Data Scientist at Moody’s Analytics, now. Machine Learning Job Hunting for Bankers.

      [BigData] Y. Fang, X.-Y. Liu, Hongyang Yang. Practical machine learning approach to capture the scholar data driven alpha in AI industry. IEEE Big Data, 5th Special Session on Intelligent Data Mining, 2019.

      [NeurIPS Workshop] X. Li, Y. Li, Hongyang Yang, L. Yang,  X.-Y. Liu. DP-LSTM: A differential privacy framework for stock prediction based on financial news. Robust AI in FS 2019 : NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 2019.

     [NeurIPS Workshop] Z. Xiong, X.-Y. Liu, S. Zhong, Hongyang Yang, A. Walid. Practical deep reinforcement learning approach for stock trading.  NeurIPS  Workshop on Challenges and Opportunities for AI in Financial Services: the Impact of Fairness, Explainability, Accuracy, and Privacy, 2018.

      Hongyang Yang, X.-Y. Liu, Qingwei Wu. A practical machine learning approach for dynamic stock recommendation. IEEE TrustCom, 2018. 

Qingwei Wu, Master, Electrical Engineering, Columbia University, 2017.09~2018.05. Microsoft at Suzhou, China.

      [NeurIPS Workshop] W. Lu, X.-Y. Liu, Qingwei Wu, Y. Sun, A. Walid. Transform-based multilinear dynamical system for tensor time series analysis. NeurIPS Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 2018.

      H. Yang, X.-Y. Liu, Qingwei Wu. A practical machine learning approach for dynamic stock recommendation. IEEE TrustCom, 2018. 

Chenxiao Zhu, Master, Hong Kong University of Science and Technology, 2017.09~2018.05.

      Chenxiao 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.

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