[Google Scholar] [ResearchGate]

Working Papers

  1. Y. Mo, W. Chen, K. You, and L. Qiu, "Optimal (0,1)-matrix completion with majorization ordered objectives, Part II: Applications to structured resource allocation," working paper, 2024.

  2. Y. Mo, J. Su, M. Chen, and S. J. Qin, "Competitive online algorithms for smoothing renewable generation with energy storage," working paper, 2024.

  3. Y. Mo and L. Qiu, "iPOP with majorization ordered objectives in privacy and security," working paper, 2024.

Papers under Review

  1. Y. Mo and S. J. Qin, "Probabilistic reduced-dimensional vector autoregressive modeling with oblique projections," 1st-round review under Automatica, 2024. [arXiv] [Joe's talk at the USC Marshall School of Business]

  2. Y. Mo, Q. Lin, M. Chen, and S. J. Qin, "Real-time peak-demand minimization with energy storage using competitive ratio," 1st-round review under Automatica, 2024. [arXiv]

  3. L. Li, X. He, Y. Mo, Z. Sun, and S. J. Qin, "Route network planning for urban drone delivery: Network flow theory or graph search algorithms," submitted, 2024. [SSRN]

Journal Papers (* indicates the corresponding author)

  1. X. He, L. Li*, Y. Mo, J. Huang, and S. J. Qin, "A distributed route network planning method with congestion pricing for drone delivery services in cities," Transportation Research Part C: Emerging Technologies, vol. 160, no. 104536, 2024. [Link]

  2. Y. Mo*, W. Chen, K. You, and L. Qiu, "Optimal (0,1)-matrix completion with majorization ordered objectives," Automatica, vol. 160, no. 111430, 2024. (Regular Paper) [Link]

  3. K. Wang, C. Yan, Y. Mo, Y. Wang, X. Yuan, and C. Liu*, "Engineering applications of artificial intelligence anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder," Engineering Applications of Artificial Intelligence, vol. 131, no. 107839, 2024. [Link]

  4. K. Wang, Z. Guo, Y. Mo*, Y. Wang, and X. Yuan*, "Maximizing anomaly detection performance using latent variable models in industrial systems," accepted by IEEE Transactions on Automation Science and Engineering, 2023. [Link]

  5. K. Wang, C. Yan, Y. Mo*, X. Yuan*, Y. Wang, and C. Yang, "Neuron-compressed deep neural network and its applications in industrial anomaly detection," IEEE Transactions on Industrial Informatics, vol. 19, pp. 7914–7924, 2023. [Link]

  6. Y. Mo*, W. Chen, S. Z. Khong, and L. Qiu, "A structure-tensor approach to integer matrix completion in indivisible resource allocation," IEEE Transactions on Automatic Control, vol. 67, no. 9, pp. 4541–4554, 2022. (Full Paper) [Link]

  7. K. Wang, W. Zhou, Y. Mo, X. Yuan*, Y. Wang, and C. Yang, "New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer," Knowledge-Based Systems, vol. 248, no. 108851, 2022. [Link]

  8. Q. Lin, Y. Mo, J. Su, and M. Chen*, "Competitive online optimization with multiple inventories: A divide-and-conquer approach," Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 6, pp. 1–28, 2022. [Link]

  9. Y. Mo*, W. Chen, L. Qiu, and P. Varaiya, "Market implementation of multiple-arrival multiple-deadline differentiated energy services," Automatica, vol. 116, no. 108933, 2020. [Link]

  10. W. Chen*, Y. Mo, L. Qiu, and P. Varaiya, "Constrained (0, 1)-matrix completion with a staircase of fixed zeros," Linear Algebra and its Applications, vol. 510, pp. 171–185, 2016. [Link]

Conference Papers and Posters

  1. Y. Mo and L. Qiu, "iPOP with Majorization ordered objectives in privacy and control," accepted by the 14th Asian Control Conference (ASCC), 2024.

  2. Y. Mo, J. Yu, and S. J. Qin, "Probabilistic reduced-dimensional vector autoregressive modeling for dynamics prediction and reconstruction with oblique projections," in 62nd IEEE Conference on Decision and Control (CDC), 2023. [Link]

  3. J. Yu, Y. Mo, and S. J. Qin, "Latent dynamic networked system identification with high-dimensional networked data," in 62nd IEEE Conference on Decision and Control (CDC), 2023. [Link]

  4. Y. Mo and S. J. Qin, "Low-dimensional vector autoregressive modeling for dynamics prediction with maximum likelihood estimation," in AIChE Annual Meeting, 2023. [Link]

  5. J. Yu, Y. Mo, and S. J. Qin, "Latent dynamic networked system identification with high-dimensional data from interconnected process networks," in AIChE Annual Meeting, 2023. [Link]

  6. T. Zhao, M. Zhou, Y. Mo, J. M. Wang, J. Luo, X. Pan, and M. Chen, "Optimizing demand response in distribution network with grid operational constraints," in ACM International Conference on Future Energy Systems (ACM e-Energy), 2023. [Link]

  7. Q. Lin, Y. Mo, J. Su, and M. Chen, "Competitive online optimization with multiple inventories: A divide-and-conquer approach" in ACM SIGMETRICS/IFIP Performance, 2022. [Link]

  8. Y. Mo, Q. Lin, M. Chen, and S. J. Qin, “Optimal online algorithms for peak-demand reduction maximization with energy storage,” in ACM International Conference on Future Energy Systems (ACM e-Energy), 2021. [Link]

  9. Y. Mo, Q. Lin, M. Chen, and S. J. Qin, “Optimal peak-minimizing online algorithms for large-load users with energy storage,” in IEEE International Conference on Computer Communications (INFOCOM), 2021. (Best Poster Award) [Link]

  10. Y. Mo, W. Chen, and L. Qiu, "iPOP with majorization ordered objectives: A (0,1)-matrix completion approach," in Chinese Control Conference (CCC), 2020. (Extended Abstract) [Link]

  11. Y. Mo, W. Chen, and L. Qiu, "Staircase pattern constrained zero-one matrix completion with uncertainties and its applications," in 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS), pp. 222–225, 2018. (Extended Abstract) [Link]

  12. Y. Mo, W. Chen, and L. Qiu, "Differentiated energy services: Multiple arrival times and multiple deadlines," in 20th World Congress of the International Federation of Automatic Control (IFAC), vol. 50, pp. 207–212, 2017. [Link]

  13. Y. Mo, W. Chen, and L. Qiu, "Coordinating flexible loads via optimization in the majorization order," in 56th IEEE Conference on Decision and Control (CDC), pp. 3495–3500, 2017. [Link]

  14. Y. Mo, W. Chen, and L. Qiu, "Duration-differentiated energy services with peer-to-peer charging," in 55th IEEE Conference on Decision and Control (CDC), pp. 7514–7519, 2016. [Link]

Patent

  1. M. Chen, S. J. Qin, Y. Mo, and Q. Lin, "Methods for online peak demand reduction of large load users with energy storage discharge," U.S. Patent Application No. 17/650,089, 2023. [Link]