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• Xinyi Wang and Lang Tong
  Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection
  Journal of Machine Learning Research, vol. 23, no. 49., pp. 1-27, 2002
  See an earlier version on arXiv.
  
  
• S. Baltaoglu, L. Tong, and Q. Zhao
  Algorithmic Bidding for Virtual Trading in Electricity Markets
  IEEE Transactions on Power Systems, vol. 34, no. 1, Jan. 2019.
  See earlier versions at arXiv
  
  
• Sevi Baltaoglu, Lang Tong, and Qing Zhao
  "Online learning of optimal bidding strategy in repeated multi-commodity auctions"
  NIPS'17: Proc. 31st Intl. Conf. Neural Information Processing Systems Dec. 2017
  
  
• Zhi Yu, Yunjian. Xu, and Lang Tong
  "Deadline scheduling as restless bandits"
  IEEE Transactions on Automatic Control, 2017
  See an earlier version on arXiv. October 2016
  
  
  
• T. Routtenberg and L. Tong
  "Estimation after parameter selection: performance analysis and estimation methods"
  IEEE Transactions on Signal Processing, 2016
  See an earlier version on arXiv.
  
  
• S. Baltaoglu, L. Tong, and Q. Zhao
  "Online learning and optimization of Markov jump models"
  submitted to IEEE Transactions on Information Theory, 2016
  An abbreviated version appeared in 2016 IEEE Conf. Acoustic, Speech, and Signal Processing (ICASSP).
  
  
• J. Kim, L. Tong, and R. J. Thomas
  "Subspace methods for data attack on state estimation: a data driven approach"
  IEEE Transactions on Signal Processing, vol. 63, no 5, pp. 1102-1114, 2015.
  
  
• B. Jones, M. Campbell, and L. Tong
  "Maximum likelihood fusion of stochastic maps"
  IEEE Transactions on Signal Processing, vol. 62, no. 8, pp 2090-2099, 2014
  
  
• S. Chen and L. Tong
  Distributed learning and multiaccess of on-off channels
  IEEE Transactions on Signal Processing, vol. 62, no. 8, pp 2090-2099, 2014
  
  
• V. Tan, A. Anandkumar, L. Tong, and A. Willsky
  A large-deviation analysis of the maximum-likelihood learning of Markov tree structures
  IEEE Trans. Information Theory, vol. 57 , no. 3, pp. 1714-1735, March 2011.
  
  
• A. Anandkumar, L. Tong, and A. Swami
  Detection of Gauss-Markov random fields with nearest-neighbor dependency
  IEEE Trans. Information Theory, vol. 55, no. 2, pp. 816-827, Feb. 2009.
  
  
• S. Marano, V. Matta, and L. Tong
  Distributed Detection in the Presence of Byzantine Attacks
  IEEE Transactions on Signal Processing, vol. 57, no. 1, pp. 16-29, January 2009.
  
  
• T. He and L. Tong
  Detection of information flows
  IEEE Transactions on Information Theory, vol. 54, no. 11, pp. 4925-4945, Nov., 2008.
  
  
• P. Venkitasubramaniam and L. Tong, and A. Swami
  Quantization for maximin ARE in distributed estimation
  IEEE Transactions on Signal Processing, vol. 55, no. 7, pp. 3596–3605, July, 2007.
  
  
• Y. Sung, L. Tong, and H. V. Poor
  

  Neyman-Pearson detection of Gauss-Markov signals in noise: closed-form error exponent and properties
  IEEE Trans. on Information Theory, vol. 52, no. 4, pp. 1354-1365, April, 2006.
  
  

• T. He, S. Ben-David and L. Tong
  Nonparametric change detection and estimation in large scale sensor networks
  IEEE Transactions on Signal Processing, vol. 54, no. 4, pp. 1204 - 1217, April 2006.