Publications
Journal/Conference Papers Submitted
J17) K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Weighted Ensembles for Active Learning with Adaptivity," submitted to IEEE Transactions on Signal Processing (T-SP), 2023.
J16) Q. Lu, and G. B. Giannakis, “Robust and Adaptive Temporal-Difference Learning Using an ensemble of Gaussian Processes,” submitted to Journal of Machine Learning Research (JMLR), 2021.
J15) Q. Lu and G. B. Giannakis, “Online Spatio-Temporal Inference over Graphs via Gaussian Process Dynamical Modeling,” submitted to IEEE Transactions on Signal Processing (T-SP), 2021.
Journal Papers Published
J14) J. Yan, Q. Lu, and G. B. Giannakis, "Bayesian Optimization for online management in dynamic mobile edge computing," accepted by IEEE Transactions on Wireless Communications (T-WC), Aug. 2023.
J13) Q. Lu, K. D. Polyzos, B. Li, and G. B. Giannakis, “Surrogate modeling for Bayesian optimization beyond a single GP,” to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Jan. 2023.
J12) Q. Lu, G. V. Karanikolas, and G. B. Giannakis, "Incremental Ensemble Gaussian Processes," accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI 10.1109/TPAMI.2022.3157197, Mar. 2022.
J11) K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Ensemble Gaussian processes for online learning over graphs with adaptivity and scalability," accepted by IEEE Transactions on Signal Processing (T-SP), DOI 10.1109/TSP.2021.3122095, Oct. 2021.
J10) Q. Lu and G. B. Giannakis, "Probabilistic Reconstruction of Spatiotemporal Processes over Multi-relational Graphs," IEEE Transactions on Signal and Information Processing over Networks (T-SIPN), vol. 7, pp. 166-176, April 2021.
J9) Q. Lu, V. N. Ioannidis, and G. B. Giannakis, "Graph-adaptive semi-supervised tracking of dynamic processes over switching network modes," IEEE Transactions on Signal Processing (T-SP), vol. 68, no. 1, pp. 2586-2597, December 2020.
J8) Q. Lu, Y. Bar-Shalom, and P. Willett, “Measurement extraction for two closely-spaced objects using an imaging sensor,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), Jan. 2019.
J7) K. Yang, Q. Lu, Y. Bar-Shalom, P. Willett, Z. Freund, R. Ben-Dov, and B. Milgrom, “Estimation for a Thrusting/Ballistic Object with Delayed Acquisition,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), Dec. 2018.
J6) Q. Lu, Y. Bar-Shalom, P. Willett, and Balakumar Balasingam, “Measurement extraction for a point target from an optical sensor,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), vol. 54, no. 6, Dec. 2018.
J5) Q. Lu, Y. Bar-Shalom, P. Willett, T. Yuan, R. Ben-Dov, and B. Milgrom, “Efficient Estimation of a Thrusting/Ballistic Trajectory Using a Single Passive Sensor,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), vol. 54, no. 6, Dec. 2018.
J4) Q. Lu, K. Domrese, P. Willett, Y. Bar-Shalom, and K. Pattipati, “A Bootstrapped PMHT with Feature Measurements,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), vol. 53, no. 5, pp. 2559-2571, Oct. 2017.
J3) Q. Lu, Y. Bar-Shalom, P. Willett, F. Palmieri, and F. Daum, “The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions with Parameter-Dependent Support,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), vol. 53, no. 5, pp. 2331-2343, Oct. 2017.
J2) Q. Lu, Y. Bar-Shalom, P. Willett, K. Granstrom, and R. Ben-Dov, “Tracking Initially Unresolved Thrusting Projectiles Using an Optical Sensor,” IEEE Transactions on Aerospace and Electronic Systems (T-AES), vol. 54, no. 2, pp. 794-807, April 2018.
J1) Q. Lu, X. Hu, D. Wang, and S. Zhou, “Parallel Combinatory Multicarrier Modulation in Underwater Acoustic Communications,” IET Communications, vol.11, no. 9, pp. 1331-1337, Jun. 2017.
Conference Papers
C24) K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement" Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, June 4-9, 2023.
C23) Q. Lu, and G. B. Giannakis, "Gaussian process dynamical modeling for adaptive inference over graphs," Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, June 4-9, 2023.
C22) J. Yan, Q. Lu, and G. B. Giannakis, "Bayesian Optimization for Task Offloading and Resource Allocation in Mobile Edge Computing," Proc. of Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 30-Nov. 2, 2022.
C21) K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles," Proc. of Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 30-Nov. 2, 2022.
C20) K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Ensemble Gaussian Processes over Egonet Features for Online Graph-Guided Learning," Proc. of Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 31-Nov. 3, 2021.
C19) K. D. Polyzos, Q. Lu, A. Sadeghi, and G. B. Giannakis, "On-policy Reinforcement Learning via Ensemble Gaussian Processes for Resource Allocation," Proc. of Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 31-Nov. 3, 2021.
C18) Q. Lu and G. B. Giannakis, "Spatio-Temporal Inference of Dynamical Gaussian Processes over Graphs," Proc. of Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 31-Nov. 3, 2021.
C17) G. V. Karanikolas, Q. Lu, and G. B. Giannakis, "Online Unsupervised Learning using Ensemble Gaussian Processes with Random Features," Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.
C16) Q. Lu and G. B. Giannakis, "Gaussian Process Temporal-difference Learning with Scalability and Worst-Case Performance Guarantees," Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.
C15) K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts," Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toronto, Canada, June 6-11, 2021.
C14) Q. Lu, G. V. Karanikolas, Y. Shen, and G. B. Giannakis, "Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability," Proc. of 23rd Intl. Conf. on Artificial Intelligence and Statistics (AISTATS), Palermo, Italy, June 3-5, 2020.
C13) Q. Lu, V. Ioannidis, G. B. Giannakis, "Semi-supervised Learning of Processes over Multi-relational Graphs" Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-9, 2020.
C12) Q. Lu, V. Ioannidis, G. B. Giannakis, "Learning Graph Processes with Multiple Dynamical Models," Proc. of Asilomar Conf., Pacific Grove, CA, Nov. 2-5, 2019.
C11) Q. Lu, V. Ioannidis, G. B. Giannakis, "Semi-supervised Tracking of Dynamic Processes over Switching Graphs," Proc. of IEEE Data Science Workshop (DSW), Minneapolis, MN, June 2-5, 2019.
C10) X. Chen, W. Li, Q. Lu, P. Willett and Q. Zhang, “Underwater Acoustic Channel Tracking by Multi-Bernoulli Filter,” in Proc. of MTS/IEEE OCEANS Conference, Kobe, Japan, May, 2018.
C9) Q. Lu, W. Dou, R. Visina, K. Pattipati, and Y. Bar-Shalom, “Evaluation of Optimizations of Murty's M-Best Assignment,” in Proc. SPIE Conf. on Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, #10646-10, Orlando, FL, April 2018.
C8) Q. Lu, Y. Bar-Shalom, P. Willett, and Balakumar Balasingam, “Localization of a Point Target from an Optical Sensor's Focal Plane Array,” in Proc. SPIE Conf. on Signal Processing, Sensor/Information Fusion, and Target Recognition XXV, #10646-6, Orlando, FL, April 2018.
C7) A. Finelli, Z. Sutton, Q. Lu, P. K. Willett, Y. Bar-Shalom, K. LeGrande, and R. Byrne, “Performance of an Emerging $\delta$-GLMB Filter,” in Proc. of IEEE Aerospace Conference, Big Sky, MT, March 2018.
C6) K. Yang, Q. Lu, Y. Bar-Shalom, P. Willett, Z. Freund, and R. Ben-Dov, “Motion Parameter Estimation of a Thrusting/Ballistic Object From a Single Fixed Passive Sensor with Delayed Acquisition,” in Proc. of the 20th International Conference on Information Fusion, Xian, China, July 2017.
C5) Q. Lu, Y. Bar-Shalom, P. Willett, F. Palmieri, and F. Daum, “The Multidimensional Cramer-Rao-Leibniz Lower Bound for Vector-Measurement-Based Likelihood Functions with Parameter-Dependent Support,” in Proc. of the 20th International Conference on Information Fusion, Xian, China, July 2017.
C4) Q. Lu, K. Domrese, P. Willett, Y. Bar-Shalom, and K. Pattipati, “A Bootstrapped PMHT with Feature Measurements and a New Way to Derive its Information Matrix,” in Proc. SPIE Conf. on Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, #10200-59, Anaheim, CA, April 2017.
C3) Q. Lu, Y. Bar-Shalom, P. Willett, K. Granstrom, R. Ben-Dov and B. Milgrom, “Tracking Initially Unresolved Thrusting Objects in 3D Using a Single Stationary Optical Sensor,” in Proc. SPIE Conf. on Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI, #10200-1, Anaheim, CA, April 2017.
C2) Q. Lu, K. Granstrom, Y. Bar-Shalom, and P. Willett, “Multi-Bernoulli Filtering for Initially Unresolved Targets in Clutter,” in Proc. SPIE Conf. on Signal Processing, Sensor/ Information Fusion, and Target Recognition XXV, #9842-55, Baltimore, MD, April 2016.
C1) Q. Lu, Y. Huang, Z. Wang, and S. Zhou, “Characterization and Receiver Design for Underwater Acoustic Channels with Large Doppler Spread,” in Proc. of MTS/IEEE OCEANS Conference, Washington DC, USA, Oct. 19-24, 2015.