Qin Lu
200 D. W. Brooks Drive, Athens, GA
Email: Qin.Lu AT uga DOT edu
Welcome to my personal website! I am currently an Assistant Professor with the School of ECE at the University of Georgia. Previously, I worked as a postdoctoral research associate with Prof. Georgios B. Giannakis at the University of Minnesota. I received my PhD degree in electrical engineering from the University of Connecticut under the supervision of Prof. Yaakov Bar-Shalom and Prof. Peter Willett in June 2018. Before that, I obtained my BS degree in electrical engineering from University of Electronic Science and Technology of China (UESTC) in July 2013.
My current research interests are in the broad areas of machine learning, signal processing, data science, and communications.
Openings:
I have multiple openings starting Spring/Fall 2024, including PhD students with full RA support, post-doc positions, and visiting students. If you are interested in working with me, please drop me an email with your CV, transcripts, and sample publications (if any).
Selected publications and preprints
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.
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.
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.
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.
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.
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.
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.
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.
J. Yan, Q. Lu, and G. B. Giannakis, "Bayesian Optimization for online management in dynamic mobile edge computing," submitted to IEEE Transactions on Wireless Communications (T-WC), 2022.
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.
News:
Feb. 2024: Excited to receive the prestigious NSF CAREER award!
Feb. 2024: Two papers submitted to IEEE-SAM Workshop 2024!
Nov. 2023: I was invited to give a talk at ECE seminar series, University of Rochester!
Sept. 2023: Invited talk at the Haiyun Seminar hosted by Xiamen University!
Sept. 2023: One paper submitted to T-SP!
Aug. 2023: One paper on Bayesian optimization for management of MEC is accepted by T-WC!
July 2023: I joined the School of ECE, College of Engineering, University of Georgia!
Jun. 2023: Presented two papers at ICASSP 2023!
Mar. 2023: Our paper on Bayesian optimization accepted by T-PAMI!
Nov. 2022: Presented two papers at Asilomar 2022!
Oct. 2022: Two papers submitted to AISTATS 2023!
Oct. 2022: Two papers submitted to ICASSP 2023!
Sept. 2022: One paper on Bayesian optimization submitted to T-PAMI!
May 2022: Two papers submitted to Asilomar 2022!
Mar. 2022: Paper "Incremental Ensemble Gaussian Processes" accepted by Transactions on Pattern Analysis and Machine Intelligence!
Feb. 2022: New paper submitted to Uncertainty in Artificial Intelligence (UAI)!
Jan. 2022: Two new papers submitted to ICML 2022!
Nov. 2021: Presented three papers at Asilomar 2021!
Oct. 2021: New paper on Ensemble Gaussian processes for online graph-guided learning accepted by Transactions on Signal Processing!
Jun. 2021: New paper "Incremental Ensemble Gaussian Processes" submitted to Transactions on Pattern Analysis and Machine Intelligence!
Jun. 2021: Presented three papers at ICASSP 2021!
May 2021: New paper submitted to Transactions on Signal Processing!
Apr. 2021: New paper on spatio-temporal inference over multi-relational graphs published in Transactions on Signal and Information Processing over Networks!