Selected Journal Publication

  • [TIT] X.-Y. Liu, S. Aeron, V. Aggarwal, X. Wang. Low-tubal-rank tensor completion using alternating minimization. IEEE Transactions on Information Theory, 2019.
  • [TPDS] T. Zhang, X.-Y. Liu, and X. Wang. High Performance GPU tensor completion with tubal-sampling pattern. IEEE Transactions on Parallel and Distributed Systems, 2020.
  • [TPDS] T. Zhang, X.-Y. Liu, X. Wang, and A. Walid. cutensor-tubal: Efficient primitives for tubal-rank tensor operations on GPUs. IEEE Transactions on Parallel and Distributed Systems, 2019.
  • [TPDS] X.-Y. Liu, Y. Zhu, L. Kong, C. Liu, Y. Gu, A. V. Vasilakos, M.-Y. Wu. CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems,Vol.26, No.8, pp. 2188-2197, 2015. (ESI-Highly Cited)

  • [TPDS] L. Kong, M. Xia, X.-Y. Liu, G. Chen, Y. Gu, M.-Y. Wu, X. Liu. Data loss and reconstruction in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems,Vol. 25, No. 11, pp. 2818-2828, 2014. (ESI-Highly Cited)
  • [TPDS] L. Kong, M. Zhao, X.-Y. Liu, J. Lu, Y. Liu, M.-Y. Wu, and W. Shu. Surface coverage in sensor networks. IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 1, pp. 234-243, 2013.
  • [TMC] X.-Y. Liu, S. Aeron, V. Aggarwal, X. Wang, M.-Y. Wu. Adaptive sampling of RF fingerprints for fine-grained indoor localization. IEEE Transactions on Mobile Computing, 2016.
  • [TMC] X. Liu, K. Zheng, X.-Y. Liu, X. Wang, and Y. Zhu. Hierarchical cooperation improves delay in cognitive radio networks with heterogeneous mobile secondary nodes. IEEE Transactions on Mobile Computing, Vol. 18, No. 12, pp. 2871-2884, 2018.
  • [TMC] X. Liu, K. Zheng, L. Fu, X.-Y. Liu, X. Wang, and G. Dai. Energy efficiency of secure cognitive radio networks with cooperative spectrum sharing. IEEE Transactions on Mobile Computing, Vol. 18, No. 2, pp. 305-318, 2018.
  • [TBD] X.-Y. Liu, X. Wang. LS-decomposition for robust recovery of sensory big data. IEEE Transactions on Big Data, 2017.

  • [TALLIP] X.-Y. Liu, Y. Zhang, Y. Liao, and L. Jiang. Dynamic updating of the knowledge base for a large-scale question answering system. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 19, no. 3, pp. 1-13, 2020.
  • [TITS] M. Zhu, X.-Y. Liu, X. Wang. Joint transportation and charging scheduling in public vehicle systems-a game theoretic approach. IEEE Transactions on Intelligent Transportation Systems, 2018.

  • [TITS] M. Zhu, X.-Y. Liu, X. Wang. An online ride-sharing path planning strategy for public vehicle systems. IEEE Transactions on Intelligent Transportation Systems, 2018.

  • [TITS] M. Zhu, X.-Y. Liu, M. Qiu, W. Shu, F. Tang, R. Shen, M.-Y. Wu. Public vehicles for future urban transportation systems. IEEE Transactions on Intelligent Transportation Systems, 2016.

  • [JMLR] M. Ashraphijuo, X. Wang, V. Aggarwal. Rank determination for low-rank data completion. The Journal of Machine Learning Research, 18(1), pp.3422-3450, 2017

  • [JMLR] M. Ashraphijuo, X. Wang. Fundamental conditions for low-CP-rank tensor completion. The Journal of Machine Learning Research, 18(1), pp.2116-2145, 2017.
  • [TCSS] C, Fu, Y. Zhao, X.-Y. Liu, J. Yang, A. Walid, and L. T. Yang. Secure tensor decomposition for heterogeneous multimedia data in cloud computing. IEEE Transactions on Computational Social Systems, Vol. 7, no. 1, pp. 247-260, 2020.
  • [TIP] P. Yang, L. Kong, X.-Y. Liu, X. Yuan, and G. Chen. Shearlet enhanced snapshot compressive imaging. IEEE Transactions on Image Processing, 2020.
  • [TII] L. Kong, X.-Y. Liu, H. Sheng, P. Zeng, and G. Chen. Federated tensor mining for secure industrial Internet of Things. IEEE Transactions on Industrial Informatics, 2019.
  • [TDSC] C. Fu, X.-Y. Liu, J. Yang, L. T. Yang, S. Yu, and T. Zhu. Wormhole: The hidden virus propagation power of a search engine in social networks. IEEE Transactions on Dependable and Secure Computing, 2017.
  • [IoT Journal] H. Zheng, M. Gao, Z. Zhang, X.-Y. Liu, X. Feng. An adaptive sampling scheme via approximate volume sampling for fingerprint-based indoor localization. IEEE Internet of Things Journal, 2019.
  • [TNSE] Y. Wu, X.-Y. Liu, L. Fu, X. Wang. Energy-efficient and Robust Tensor-Encoder for Wireless Camera Networks in Internet of Things. IEEE Transactions on Network Science and Engineering, 2018.

  • [ToSN] R. Jia, J. Zhang, X.-Y. Liu, P. Liu, L. Fu, and X. Wang. Optimal rate control for energy-harvesting systems with random data and energy arrivals. ACM Transactions on Sensor Networks (ToSN), Vol. 15, No. 1, pp. 1-30, 2019.
  • [TWC] J. Liu, L. Fu, Z. Liu, X.-Y. Liu, and X. Wang. Interest-aware information diffusion in evolving social networks. IEEE Transactions on Wireless Communications, Vol. 17, no. 7, pp. 4593-4606, 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.

For manuscripts

TensorLet@gmail.com

Selected Conference Publication

  • [ICCV] X.-Y. Liu, J. Ma (co-primary), Z. Shou, X. Yuan. Deep tensor ADMM-Net for snapshot compressive imaging. ICCV, 2019.
  • [AAAI] X. Han, B. Wu, Z. Shou, X.-Y. Liu, Y. Zhang, L. Kong. Tensor FISTA-Net for real-time snapshot compressive imaging. AAAI, 2020.
  • [AAAI] F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Efficient multi-dimensional tensor sparse coding using t-linear combinations. AAAI, 2018. [Slides] and [Poster]
  • [IJCAI] H. Zhang, Q. Yan, P. Zhou, X.-Y. Liu. Generating robust audio adversarial examples with temporal dependency. IJCAI, 2020.
  • [SIGIR] W. Bao, H. Wen, S. Li, X.-Y. Liu, Q. Lin and K. Yang. GMCM: Graph-based micro-behavior conversion model for post-click conversion rate estimation. SIGIR, Industry Track, 2020.
  • [WWW] W. Zhang, W. Bao, X.-Y. Liu, K. Yang, Q. Lin, H. Wen, R. Ramezani. A causal perspective to unbiased conversion rate estimation on data missing not at random. WWW, 2020.
  • [BigData] Y. Fang, X.-Y. Liu, H. Yang. Practical machine learning approach to capture the scholar data driven alpha in AI industry. IEEE Big Data 2019.
  • [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.
  • [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.
  • [NeurIPS Workshop] X.-Y. Liu, Z. Ding, S. Borst, A. Walid. Deep reinforcement learning for intelligent transportation systems. NeurIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2018. [PDF] and [codes].

  • [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. [PDF] and [codes].

  • [NeurIPS Workshop] W. Lu, X.-Y. Liu, Q. 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. [PDF] and [codes].

  • [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.
  • [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.
  • [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.
  • [ICME] T. Deng, F. Qian,  X.-Y. Liu, M. Zhang, A. Walid. Tensor sensing for RF tomographic imaging. IEEE ICME, 2018. [Slides] and [Codes]

  • [ICME] F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Graph regularized tensor sparse coding for image representation. IEEE ICME, 2017.

  • [ICASSP] X.-Y. Liu, T. Zhang (co-primary author). cuTensor-tubal: Optimized GPU library for low-tubal-rank tensors. IEEE ICASSP, 2019.
  • [ICASSP] S. Liao, X.-Y. Liu, F. Qian, M. Yin, G.-M. Hu. Tensor super-resolution for seismic data. IEEE ICASSP, 2019.
  • [ICASSP] C. Li, Y. Sun, X.-Y. Liu, Y. Li. Tensor subspace detection with tubal-sampling and elementwise-sampling. IEEE ICASSP, 2018. [Codes]

  • [ICASSP] F. Jiang, X.-Y. Liu, H. Lu, R. Shen. Anisotropic total variation regularized low-rank tensor completion based on tensor nuclear norm for color image inpainting. IEEE ICASSP, 2018.

  • [ICASSP] X.-Y. Liu, S. Aeron, V. Aggarwal, X. Wang, M.-Y. Wu. Tensor completion via adaptive sampling of tensor fibers: application to efficient indoor RF fingerprinting. IEEE ICASSP, 2016.

  • [INFOCOM] L. Kong, M. Xia, X.-Y. Liu, M.-Y. Wu, Xue Liu. Data loss and reconstruction in sensor networks. IEEE INFOCOM, Turin, Italy, 2013.

  • [ICDCS] L. Kong, L. He, X.-Y. Liu, Y. Gu, M.-Y. Wu, X. Liu. Privacy-preserving compressive sensing for crowdsensing based trajectory recovery. IEEE ICDCS, Columbus, Ohio, USA, 2015.
  • [IWQOS] M. Zhu, X.-Y. Liu, M. Qiu, R. Shen, W. Shu, M.-Y. Wu. Traffic Big Data based Path Planning Strategy in Public Vehicle Systems. IEEE IWQoS, 2016.